babytreecc/ICLR2025review · Datasets at Hugging Face

vTLLyVCsrD

Improving Generalization of Meta Reinforcement Learning via Explanation

main

Active

explainable meta reinforcement learning; meta reinforcement learning generalization

reinforcement learning

3;3;3;6;6

3;4;4;2;4

1;2;2;3;3

2;2;1;3;3

2;2;1;3;1

4.2

3.4

2.2

1.8

-0.408248

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vTRWu9zaWo

Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization

main

Active

deep learning theory;degree of smoothing;generalizability;graduated optimization;SGD;sharpness;smoothing property;stochastic noise

optimization

3;3;5;5;6

3;4;3;3;3

3;3;2;3;3

2;1;2;2;3

3;3;2;4;3

4.4

3.2

2.8

2

3

-0.583333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "**Weakness 1:** While the experiments with ResNets on CIFAR100 provide valuable insights, th...

vTdwuKUc5Z

Image Super-Resolution with Text Prompt Diffusion

main

Active

Image Super-Resolution;Text Prompt;Diffusion Model

applications to computer vision, audio, language, and other modalities

3;3;5;6

5;4;5;5

2;2;2;3

2;1;2;3

2;2;2;3

4.25

4.75

2.25

2

2.25

0.555556

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vVCHWVBsLH

Decomposition Polyhedra of Piecewise Linear Functions

main

Active

Piecewise Linear Functions;Polyhedral Geometry;Minimal Convex Decompositions;Submodular Functions;Neural Networks

learning theory

5;6;8;8

3;3;3;3

3;3;4;3

2;3;3;3

2;3;4;3

6.75

3

3.25

2.75

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vVHc8bGRns

RecFlow: An Industrial Full Flow Recommendation Dataset

main

Active

recommendation system;recommendation dataset

datasets and benchmarks

5;6;6;8

3;4;4;4

2;3;3;3

3;3;4;4

3;3;2;4

6.25

3.75

2.75

3.5

3

0.662266

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vVVtTVIR5O

Debiasing Vison-Language Models with Text-Only Training

main

Withdraw

Vison Language Models;Group Robustness;Fairness;CLIP

alignment, fairness, safety, privacy, and societal considerations

Yunfan Yang;Chaoquan Jiang;Zhiyu Lin;Jinlin Xiao;Jiaming Zhang;Jitao Sang

~Yunfan_Yang2;~Chaoquan_Jiang1;~Zhiyu_Lin2;~Jinlin_Xiao1;~Jiaming_Zhang1;~Jitao_Sang1

3;5;5;5

3;3;4;4

3;3;3;3

2;2;2;3

4.5

3.5

3

2.25

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

vVhZh9ZpIM

The Pitfalls of Memorization: When Memorization Hurts Generalization

main

Active

Memorization;Generalization;Spurious Correlations

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;5;6;6

4;4;2;3

1;3;2;3

1;3;2;2

2;2;2;2

5

3.25

2.25

2

-0.738549

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vVlNBaiLdN

ESMGain: Effective and Efficient Prediction of Mutation’s functional Effect via ESM2 Transfer Learning and robust Benchmarks

main

Active

protein;language model;deep learning;biology;gain of function;enzyme

applications to physical sciences (physics, chemistry, biology, etc.)

3;3;3;3

4;4;3;4

2;2;2;2

1;2;2;2

3

3.75

2

1.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vVxeFSR4fU

Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity

main

Active

Representation Similarity;Saturation Event;Early Exit

other topics in machine learning (i.e., none of the above)

3;5;6;6

3;5;2;3

2;3;3;3

2;1;3;3

3;3;3;3

5

3.25

2.75

2.25

3

-0.187317

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vW6rsXAGrz

CardiCat: a Variational Autoencoder for High-Cardinality Tabular Data

main

Active

embedding;VAE;tabular;regularization;high-cardinality;categorical;imbalance;mixed;heterogeneous;layers;Generative;model

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;3;5;5

4;4;3;4

3;1;3;1

2;1;2;1

4;3;3;2

4

3.75

2

1.5

3

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vWR3KuiQur

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models

main

Active

Quantization;Diffusion Models;Efficiency;Acceleration

generative models

5;6;6;8;8;8

4;3;3;4;4;3

2;3;3;3;4;3

2;2;2;3;3;4

3;2;3;4;4;3

6.833333

3.5

3

2.666667

3.166667

0.137361

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vWRwdmA3wU

Differentiable Optimization of Similarity Scores Between Models and Brains

main

Active

similarity measures;representational alignment;procrustes distance;centered kernel alignment;linear regression

applications to neuroscience & cognitive science

3;5;6;8

4;3;3;4

2;3;3;4

2;3;3;3

5.5

3.5

3

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vXG7d2VlHU

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning

main

Active

spatial reasoning;vision language models;multimodal large language models

other topics in machine learning (i.e., none of the above)

3;5;5;5

4;4;4;4

2;2;2;2

3;3;3;3

4.5

4

2

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

vXSCD3ToCS

DynST: Large-Scale Spatial-Temporal Dataset for Transferable Traffic Forecasting with Dynamic Road Networks

main

Active

Traffic Forecasting; Transfer Learning; Spatial-Temporal Data Mining; Dataset;

datasets and benchmarks

3;5;5;5;5

4;4;4;4;4

2;2;3;3;2

1;2;3;2;2

2;2;3;3;3

4.6

4

2.4

2

2.6

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vYBzgwkwZb

BiQAP: Neural Bi-level Optimization-based Framework for Solving Quadratic Assignment Problems

main

Active

Quadratic Assignment Problems;Entropic Regularization;Differential Gromov-Wasserstein Solver;Unsupervised Learning

other topics in machine learning (i.e., none of the above)

5;6;6

3;3;3

3;4;3

2;2;4

3;4;2

5.666667

3

3.333333

2.666667

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vYO7owSSHZ

LLM-Assisted Fast and Customized Model Generation: A Preliminary Exploration

main

Active

Customized Model Generation;Hypernetworks;Large Language Models

applications to computer vision, audio, language, and other modalities

3;3;3;5;6

3;3;4;4;3

2;2;2;2;3

1;2;2;3;2

3;3;2;3;3

4

3.4

2.2

2

2.8

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vZK4pvHFd0

HyDance: A Novel Hybrid Dance Generation Network with temporal and frequency features

main

Active

Diffusion Models，Motion Generation

generative models

3;5;6;6

4;4;5;4

2;3;3;3

1;3;2;2

2;2;3;3

5

4.25

2.75

2

2.5

0.471405

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vaEPihQsAA

CyberHost: A One-stage Diffusion Framework for Audio-driven Talking Body Generation

main

Active

Audio-driven Human Animation.+Diffusion Model.+Generative Model.+Human Video Generation

applications to computer vision, audio, language, and other modalities

5;5;6;6;8

4;4;3;5;4

3;2;3;3;3

3;2;3;3;4

3;2;3;3;3

6

4

2.8

3

2.8

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vaJ4FObpXN

Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization

main

Active

combinatorial optimization;unsupervised learning;graph neural networks

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;5;5;6

4;4;4;5

2;2;3;3

2;2;2;3

2;2;3;3

4.75

4.25

2.5

2.25

2.5

0.662266

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vbmSSIhKAM

VoxDialogue: Can Spoken Dialogue Systems Understand Information Beyond Words?

main

Active

spoken dialogue system;paralinguistic information;benchmark

datasets and benchmarks

3;6;8;8;8

4;4;4;5;3

2;3;2;4;3

2;3;3;3;3

2;3;3;4;3

6.6

4

2.8

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vbr1OKK19i

Why context matters in VQA & Reasoning: Semantic interventions for VLM input modalities

main

Active

Vision Language Model;Vision Question Answering;model failure;multimodality;interpretability;semantic intervention

datasets and benchmarks

3;3;5;6

5;4;5;5

1;1;3;2

1;2;3;3

2;2;3;3

4.25

4.75

1.75

2.25

2.5

0.555556

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vc1i3a4O99

Interpreting and Steering LLM Representations with Mutual Information-based Explanations on Sparse Autoencoders

main

Active

large language models;sparse autoencoders;usable xai;explanations;interpretability

interpretability and explainable AI

3;5;5;6

4;4;4;4

1;2;3;3

2;2;3;3

3;3;3;4

4.75

4

2.25

2.5

3.25

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vcJiPLeC48

Gradient-free training of recurrent neural networks

main

Active

recurrent neural networks;koopman operator;random feature networks

learning on time series and dynamical systems

5;5;5;8

4;3;5;4

3;3;4;4

2;3;2;3

3;3;2;3

5.75

4

3.5

2.5

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vcX0k4rGTt

Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence

main

Active

conformal;laplace;influence;neural network;deep learning;uncertainty

probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)

3;6;6;6

5;2;4;3

2;3;3;3

1;2;3;3

1;3;3;3

5.25

3.5

2.75

2.25

2.5

-0.774597

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vdHSMJpBya

Towards Reliable Backdoor Attacks on Vision Transformers

main

Active

Backdoor Attacks;Vision Transformer

alignment, fairness, safety, privacy, and societal considerations

3;3;3;5

4;4;3;4

2;2;2;2

2;1;2;2

2;2;3;3

3.5

3.75

2

1.75

2.5

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vdUYa7N8Mt

The Rate-Distortion-Perception Trade-Off with Algorithmic Realism

main

Active

lossy compression;perceptual quality;rate-distortion-perception trade-off;randomization;universal critics

applications to computer vision, audio, language, and other modalities

5;5;6;6

3;4;4;4

3;3;2;3

2;2;4;3

2;2;3;3

5.5

3.75

2.75

2.5

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

ve5Omkxc13

Latent Trajectory: A New Framework for Actor-Critic Reinforcement Learning with Uncertainty Quantification

main

Active

Reinforcement learning;Stochastic gradient MCMC;Bayesian sampling;Uncertainty quantification

reinforcement learning

3;3;3;5

2;4;2;3

1;2;3;2

2;2;2;2

1;2;2;3

3.5

2.75

2

0.174078

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

veNewXAdHE

LoRe - Logarithm Regularization for Few-Shot Class Incremental Learning

main

Active

Few-Shot Class Incremental Learning;Continual Learning;Logarithmic Regularization;Wide Minima

transfer learning, meta learning, and lifelong learning

3;3;5;5;5

5;5;5;4;3

2;1;3;2;3

1;2;2;2;2

1;1;2;2;3

4.2

4.4

2.2

1.8

-0.612372

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vePZdNvrO9

GameInstruct: Teaching Machines to Reason via Chameleon Game

main

Active

Large Language Model;Self-play;Alignment

reinforcement learning

3;3;5;6

4;5;3;2

3;3;3;3

2;2;3;3

3;2;3;3

4.25

3.5

3

2.5

2.75

-0.946729

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

veiSkPqIXm

OpenPL: Realistic Evaluation of Prompt Learning for VLM in Open Environments

main

Active

VLM; Prompt Learning; Open environments

datasets and benchmarks

3;5;6;6

5;4;4;5

1;2;3;3

3;3;3;3

5

4.5

2.25

3

-0.408248

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

veyPSmKrX4

Rethinking Language-Alignment in Human Visual Cortex with Syntax Manipulation and Word Models

main

Active

multimodality;language models;vision models;visuosemantics;visual neuroscience

applications to neuroscience & cognitive science

3;6;6;6

4;2;2;3

2;3;3;3

2;3;3;2

3;3;3;4

5.25

2.75

2.5

3.25

-0.870388

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vf5M8YaGPY

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

main

Active

Jailbreaks;Prompt Injections;Adversarial Robustness

alignment, fairness, safety, privacy, and societal considerations

3;5;5;6;6;8;8

4;5;4;5;3;4;4

1;1;2;3;3;3;3

2;3;2;3;3;4;4

3;4;3;3;3;3;3

5.857143

4.142857

2.285714

3

3.142857

-0.116775

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vf5aUZT0Fz

DEPT: Decoupled Embeddings for Pre-training Language Models

main

Active

Decentralized Training;Federated Learning;Multi-domain Training;Multilingual Training

foundation or frontier models, including LLMs

5;6;8

4;4;5

3;3;4

3;4;3

2;3;1

6.333333

4.333333

3.333333

2

0.944911

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vf8iou7FNF

RLSF: Reinforcement Learning via Symbolic Feedback

main

Active

Symbolic Feedback;Reinforcement Learning;Large Language Models;Program Synthesis

neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.)

5;5;6;6

3;4;2;2

3;2;2;3

2;2;2;3

2;2;3;3

5.5

2.75

2.5

2.25

2.5

-0.904534

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vgMAtJONKX

Towards Accurate Validation in Deep Clustering through Unified Embedding Learning

main

Active

Internal validation measures;Deep clustering;Clustering evaluation;Unified embedding learning

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;5;5;5

4;4;5;4

2;3;2;3

2;2;3;3

2;3;3;3

4.5

4.25

2.5

2.75

0.333333

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vgQmK5HHfz

A Normalizing Flows based Difference-of-Entropies Estimator for Mutual Information

main

Active

Normalizing flows;mutual information;generative models

generative models

3;3;5;5;5;8

3;3;3;4;4;4

2;1;3;3;3;4

1;1;3;2;2;3

1;2;3;2;3;4

4.833333

3.5

2.666667

2

2.5

0.696526

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vgV4y086FY

Differentially Private Bilevel Optimization

main

Active

Bilevel optimization;differential privacy;nonconvex optimization;first-order methods

optimization

5;6;8;8

3;2;3;4

3;3;3;4

2;3;3;3

3;3;4;4

6.75

3

3.25

2.75

3.5

0.544331

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

vgXI1Ws0ma

Towards Empowerment Gain through Causal Structure Learning in Model-Based RL

main

Active

Causal RL;MBRL;Empowerment;Intrinsic Motivation

reinforcement learning

3;5;5;6;8

4;2;3;3;5

2;2;3;3;3

2;2;2;3;4

2;1;3;4;4

5.4

3.4

2.6

2.8

0.386244

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vgZDcUetWS

Neural Approximate Mirror Maps for Constrained Diffusion Models

main

Active

generative models;diffusion models;mirror maps;constrained generation;inverse problems

generative models

5;6;6

3;3;2

3;3;3

2;3;3

5.666667

2.666667

3

2.666667

-0.5

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "Thank you for the positive feedback. \n\nA hyperparameter sweep for $\\sigma_\\max$ and $\\l...

vgplRfepVq

Gradient Inversion Transcript: A Generative Model to Reconstruct Training Data by Gradient Leakage

main

Active

distributed learning;training data reconstruction;generative model;gradient inversion

generative models

3;3;5;6

5;3;3;4

2;3;2;3

2;2;2;3

1;3;2;3

4.25

3.75

2.5

2.25

-0.174078

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vgt2rSf6al

MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI

main

Active

Neuroscience;fMRI encoding;Generative model;fMRI generation;fMRI functional localizer;Concept-selective voxel

applications to neuroscience & cognitive science

1;5;5;6

2;4;4;4

1;2;2;3

1;3;2;3

1;3;3;3

4.25

3.5

2

2.25

2.5

0.97714

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "I am one of the authors of BrainDiVE.\n\nI wanted to quickly provide my thoughts for `MindSi...

vgvnfUho7X

Beyond accuracy: understanding the performance of LLMs on exams designed for humans

main

Active

large language models;model evaluation;psychometrics

datasets and benchmarks

3;3;3

4;4;5

2;2;1

2;1;1

2;3;3

3

4.333333

1.666667

1.333333

2.666667

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vh1e2WJfZp

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity

main

Active

dichotomous image segmentation;diffusion models;high-resolution image segmentation

applications to computer vision, audio, language, and other modalities

5;5;6;6

3;3;4;4

3;3;3;4

3;2;3;4

5.5

3.5

3.25

3

1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vhPE3PtTgC

SWEb: A Large Web Dataset for the Scandinavian Languages

main

Active

dataset;pre-training;swedish;danish;norwegian;icelandic

datasets and benchmarks

5;5;5;8

3;3;4;5

3;4;2;3

2;3;2;3

3;3;2;3

5.75

3.75

3

2.5

2.75

0.870388

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vhazhSm6I0

Optimizing Activations Beyond Entropy Minimization for Test-Time Adaptation of Graph Neural Networks

main

Active

test-time adaptation;batch normalization;graph neural network;energy-based model

learning on graphs and other geometries & topologies

3;3;6;6

4;3;1;3

2;2;3;3

4.5

2.75

2.5

-0.688247

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vi3DjUhFVm

Alignment without Over-optimization: Training-Free Solution for Diffusion Models

main

Active

diffusion models;alignment;reward over-optimization;sequential monte carlo samplers

generative models

3;5;6;8

4;4;3;3

2;3;4;3

2;2;3;3

5.5

3.5

3

2.5

-0.83205

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

viQ1bLqKY0

EXecution-Eval: Can language models execute real-world code?

main

Active

large language model;evaluation;benchmark;code execution

datasets and benchmarks

3;3;3;5

4;3;4;3

2;2;1;3

2;2;2;2

1;2;3;3

3.5

2

2.25

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vikwIayXOx

Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?

main

Active

Privacy;Model Inversion;Random Erasing

alignment, fairness, safety, privacy, and societal considerations

3;5;5;5;6;6;6

4;4;5;5;3;3;3

3;3;3;3;3;3;3

1;2;3;3;2;3;3

1;2;2;2;3;3;3

5.142857

3.857143

3

2.428571

2.285714

-0.495074

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vjHySpxDsv

DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking head Video Generation

main

Active

Talking head generation;Non-autoregressive generation;Avatar;Video generation;Diffusion model

generative models

3;5;5;6

5;5;5;4

1;3;2;3

2;2;3;3

3;3;3;3

4.75

2.25

2.5

3

-0.662266

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vjbIer5R2H

Improved Risk Bounds with Unbounded Losses for Transductive Learning

main

Active

concentration inequality;generalization bounds;graph neural networks;transductive learning;unbounded losses

learning theory

1;1;3;8

5;5;3;3

1;2;2;3

1;1;2;3

2;2;2;2

3.25

4

2

1.75

2

-0.786334

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vjel3nWP2a

Scalable Extraction of Training Data from Aligned, Production Language Models

main

Active

privacy;language models;data extraction;security

alignment, fairness, safety, privacy, and societal considerations

5;5;5;6;8;8

4;3;4;4;4;2

3;4;3;4;4;3

2;2;3;3;3;3

2;2;2;4;4;3

6.166667

3.5

2.666667

2.833333

-0.405999

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vkOFOUDLTn

Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models

main

Active

Diffusion Probabilistic Model;Diffusion Sampler;Solver Schedule

generative models

5;6;6;8

3;4;3;3

2;3;3;3

6.25

3.25

2.75

-0.132453

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vkOaerjEcz

MTMC: Generalized Category Discovery via Maximum Token Manifold Capacity

main

Active

generalized category discovery;deep cluster;manifold capacity

unsupervised, self-supervised, semi-supervised, and supervised representation learning

5;5;5;5;6

4;4;4;4;4

3;2;2;3;3

2;3;2;2;4

3;2;3;3;4

5.2

4

2.6

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vkakKdznFS

TextSeg: Reimagining Image Segmentation as Text Generation

main

Active

Multimodal large language model;Image segmentation;Referring expression segmentation

applications to computer vision, audio, language, and other modalities

5;6;6

2;4;4

2;3;2

3;3;3

5.666667

3.333333

2.333333

3

1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vkj5ARRCeY

Injecting Inductive Bias to 3D Gaussian Splatting for Geometrically Accurate Radiance Fields

main

Active

3D Gaussian Splatting;Surface Reconstruction

applications to computer vision, audio, language, and other modalities

5;6;6;8

4;4;4;5

3;3;3;3

2;3;3;3

3;3;3;3

6.25

4.25

3

2.75

3

0.927173

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vl7kf0YHwj

IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning

main

Active

Image Manipulation Detection；Segment Anything Model；Prompt learning；Semantic-Agnostic

applications to computer vision, audio, language, and other modalities

3;5;5;6

5;4;3;3

2;3;3;2

3;3;3;2

4.75

3.75

2.5

2.75

-0.899229

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vl8VpW2niQ

Memorization in In-Context Learning

main

Active

Memorization;In-Context Learning;Large Language Models

foundation or frontier models, including LLMs

3;5;5;6;6

3;3;3;3;4

3;2;3;2;2

2;2;2;2;3

2;3;3;3;4

5

3.2

2.4

2.2

3

0.456435

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vlOfFI9vWO

Multi-Agent Reinforcement Learning for Efficient Vision Transformer with Dynamic Token Selection

main

Active

efficient vision transformer;dynamic token selection;mappo

applications to computer vision, audio, language, and other modalities

1;3;3;5

2;5;4;4

1;2;2;3

2;1;2;3

1;3;1;3

3

3.75

2

0.648886

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "Dear Reviewer,\nI greatly appreciate your time and the suggestions you provided. Although th...

vlg5WRKHxh

$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos

main

Active

temporal event spotting;fine-grained video understanding;video analytics

datasets and benchmarks

3;6;6

4;4;4

3;2;3

2;3;3

1;3;3

5

4

2.666667

2.333333

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vlpEXfbeHn

RetCompletion:High-Speed Inference Image Completion with Retentive Network

main

Withdraw

Pluralistic image completion;Retentive Network

applications to computer vision, audio, language, and other modalities

Yueyang Cang;Pingge Hu;Xiaoteng Zhang;Xingtong Wang;Yuhang Liu;Li Shi

~Yueyang_Cang1;~Pingge_Hu1;~Xiaoteng_Zhang1;~Xingtong_Wang1;~Yuhang_Liu11;~Li_Shi3

3;3;3;3;6

3;5;4;1;3

2;1;2;2;3

2;1;2;2;2

2;2;2;3;3

3.6

3.2

2

1.8

2.4

-0.075378

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

vlpl0XE8Ll

$\alpha$-Reachable Graphs for Multivector Nearest Neighbor Search

main

Withdraw

Nearest neighbor Search;Graph-based Search;Multivector Retrieval

other topics in machine learning (i.e., none of the above)

Siddharth Gollapudi;Ravishankar Krishnaswamy;Sandeep Silwal;Kirankumar Shiragur;Harsh Wardhan;Ben Landrum;Nikhil Rao

~Siddharth_Gollapudi1;~Ravishankar_Krishnaswamy1;~Sandeep_Silwal1;~Kirankumar_Shiragur1;~Harsh_Wardhan1;~Ben_Landrum1;~Nikhil_Rao1

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

vmkpk0ed1F

Formalizing Spuriousness of Biased Datasets using Partial Information Decomposition

main

Active

Explainability Framework;Spuriousness;Partial Information Decomposition;Blackwell Sufficiency;Auto-encoder;Worst-group Accuracy

interpretability and explainable AI

3;3;5;6;8

4;4;2;1;2

2;2;3;3;3

1;1;3;3;3

3;2;3;3;3

5

2.6

2.2

2.8

-0.790569

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vmulbBDCan

Revolutionizing EMCCD Denoising through a Novel Physics-Based Learning Framework for Noise Modeling

main

Active

EMCCD;physics-based noise modeling;deep high-sensitivity imaging;fluorescence microscopy image denoising

applications to physical sciences (physics, chemistry, biology, etc.)

3;5;8

5;3;4

3;2;3

2;2;3

3;2;4

5.333333

4

2.666667

2.333333

3

-0.39736

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vnp2LtLlQg

Optimizing Attention

main

Active

transfomers;attention;efficiency

optimization

1;3;3;5

4;4;3;2

1;2;2;2

2;2;2;2

1;3;2;3

3

3.25

1.75

2

2.25

-0.852803

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

vo4AHjowKi

Training-free LLM-generated Text Detection by Mining Token Probability Sequences

main

Active

Fake text detection;training-free;detection

alignment, fairness, safety, privacy, and societal considerations

5;6;6;6

5;3;4;4

3;3;3;2

4;3;3;3

5.75

4

2.75

3.25

-0.816497

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vo5Md2RCWq

Unlocking Compositional Understanding of Vision-Language Models with Visualization Representation and Analysis

main

Active

Vision-Language Models;Compositional Understanding;Visualization Representation and Analysis

applications to computer vision, audio, language, and other modalities

1;3;3;5;8

5;5;4;2;4

2;1;2;3;4

1;1;2;2;3

1;2;2;3;4

4

2.4

1.8

2.4

-0.46291

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vo9t20wsmd

Faster Cascades via Speculative Decoding

main

Active

Cascades;Speculative Decoding;Speculative execution;LLM;Inference;Adaptive Inference

generative models

3;6;8

4;2;3

1;3;4

1;3;3

3;4;3

5.666667

3

2.666667

2.333333

3.333333

-0.59604

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

voYshhbWeJ

EndoAssistant: A Large-scale Vision-Language Dataset for Endoscopic Surgery Understanding from Open-Source Videos

main

Active

Medical image;endoscopy;vision-language model

datasets and benchmarks

3;5;5;6

5;4;4;5

3;3;2;2

2;3;3;2

3;4;3;2

4.75

4.5

2.5

3

-0.229416

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vodsIF3o7N

On the Modeling Capabilities of Large Language Models for Sequential Decision Making

main

Active

reinforcement learning;large language models;ai agents;preference based learning;reward design

reinforcement learning

3;5;5;6

4;3;3;4

1;3;2;3

1;2;2;2

3;3;3;3

4.75

3.5

2.25

1.75

3

-0.229416

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vpKjmJp6cO

Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation

main

Active

Distributional Reinforcement Learning;Regret Analysis;General Value Function Approximation

reinforcement learning

3;5;6;6;6

3;3;3;3;4

4;3;3;4;3

2;2;2;3;3

3;2;2;3;3

5.2

3.2

3.4

2.4

2.6

0.342997

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vpo2K9Xivv

Black Boxes and Looking Glasses: Multilevel Symmetries, Reflection Planes, and Convex Optimization in Deep Networks

main

Active

deep neural networks;convex optimization;geometric algebra;Lasso model;sparsity

optimization

3;3;3;5;5

2;3;3;2;3

1;3;2;3;3

2;1;1;2;2

2;1;2;2;2

3.8

2.6

2.4

1.6

1.8

-0.166667

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vqJZb9SX1T

Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models

main

Active

zeroth-order optimization;large language models

optimization

3;3;5;5

4;4;3;3

2;2;2;3

2;2;3;2

3;2;2;3

4

3.5

2.25

2.5

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vqbd2OQnGp

Knowledge And Capability Transfer Through Large Language Models' Parameters Fusing

main

Active

large language model;post-training;transfer learning;model merging;weights averaging;artificial intelligence

transfer learning, meta learning, and lifelong learning

3;6;6;8

3;4;4;3

2;2;3;4

2;3;3;4

1;3;3;4

5.75

3.5

2.75

3

2.75

0.140028

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vqgDq1uycO

Unifying Specialized Visual Encoders for Video Language Models

main

Active

video understanding;multimodal llms

applications to computer vision, audio, language, and other modalities

5;5;6;8

4;5;4;5

3;3;3;3

2;2;3;3

2;3;3;4

6

4.5

3

2.5

3

0.408248

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vr1QdCNJmN

Discrete Bregman Divergence

main

Active

Bregman Divergence;Permutation-invariant neural networks;Metric learning;Submodular functions

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;5;5;6;8

3;3;2;3;5

1;2;2;3;4

2;2;2;3;4

3;2;3;1;3

5.4

3.2

2.4

2.6

2.4

0.703526

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vrCT5uCdYp

FlightBench: Benchmarking Learning-based Methods for Ego-vision-based Quadrotors Navigation

main

Active

Ego-vision-based Navigation;Learning-based Quadrotor Methods;Open-source Benchmark

datasets and benchmarks

3;3;5;8

4;3;3;3

3;3;3;3

2;2;2;3

3;3;3;3

4.75

3.25

3

2.25

3

-0.493742

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vsLohTBH4h

Refined Generalization Analysis of the Deep Ritz Method and Physics-Informed Neural Networks

main

Active

Deep Ritz Method;Physics-Informed Neural Networks;Generalization analysis;Fast Rate

learning theory

3;5;5;5

3;4;4;4

2;3;3;3

1;2;2;3

1;3;2;3

4.5

3.75

2.75

2

2.25

1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vsU2veUpiR

Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization

main

Active

Model Editing;Unlearning;Mechanistic Interpretability;Localization;Adversarial Robustness

interpretability and explainable AI

3;3;5;6

5;2;3;4

2;3;3;3

2;2;2;4

2;2;2;1

4.25

3.5

2.75

2.5

1.75

0.086066

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vsYt8UHGzI

Bridging the Reality Gap: A Benchmark for Physical Reasoning in General World Models with Various Physical Phenomena beyond Mechanics

main

Active

Physical Reasoning;General World Models;Zero-shot Inference

datasets and benchmarks

3;3;5;5;5;5

5;4;4;5;4;3

2;3;3;3;2;3

1;3;3;3;2;2

2;2;4;3;2;2

4.333333

4.166667

2.666667

2.333333

2.5

-0.342997

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vszlHtUvSR

RDHNet: Addressing Rotational and Permutational Symmetries in Continuous Multi-Agent Systems

main

Active

Multi-agent;Reinforcement Learning;Symmetry

reinforcement learning

1;3;5

3;4;3

3;2;2

1;1;2

2;2;3

3

3.333333

2.333333

1.333333

2.333333

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vtCkb4KJxr

Adaptive Threshold Sampling for Fast Noisy Submodular Maximization

main

Active

submodular;multi-armed bandit;bandit feedback;best-arm identification;combinatorial optimization

optimization

5;5;6;6

4;5;3;2

3;3;2;3

2;2;2;2

2;3;2;3

5.5

3.5

2.75

2

2.5

-0.894427

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

vtGLtSxtqv

Odyssey: Empowering Minecraft Agents with Open-World Skills

main

Active

Autonomous Agents;Large Language Models;Open-World Environments

datasets and benchmarks

3;3;5;6

5;5;4;5

2;2;3;3

1;2;2;2

2;2;3;3

4.25

4.75

2.5

1.75

2.5

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vtT09dYPGI

Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models

main

Active

multimodal large language model;dynamic routing

applications to computer vision, audio, language, and other modalities

5;5;5;8

4;3;4;4

3;3;3;4

3;2;2;3

3;2;3;4

5.75

3.75

3.25

2.5

3

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vtUbXd5Cyg

ToMiE: Towards Modular Growth in Enhanced SMPL Skeleton for 3D Human Gaussians with Animatable Garments

main

Withdraw

Human Gaussians;Adaptive Growth;Animatable Garments

applications to computer vision, audio, language, and other modalities

Yifan Zhan;Qingtian Zhu;Muyao Niu;Mingze Ma;Jiancheng Zhao;Zhihang Zhong;Xiao Sun;Yu Qiao;Yinqiang Zheng

~Yifan_Zhan2;~Qingtian_Zhu1;~Muyao_Niu2;~Mingze_Ma3;~Jiancheng_Zhao1;~Zhihang_Zhong1;~Xiao_Sun8;~Yu_Qiao1;~Yinqiang_Zheng1

3;5;5;5

5;3;4;4

2;3;2;3

2;3;3;3

4.5

4

2.5

2.75

-0.816497

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

vtcn3DnUCw

LASER: Attention using Exponential Transformation

main

Active

Attention Mechanism;LLM;Transformer;Conformer;ViT

foundation or frontier models, including LLMs

5;5;6;6

3;4;3;4

3;3;3;3

2;2;3;3

3;2;3;3

5.5

3.5

3

2.5

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vuBhwseAKn

Deep-ComAIR: A Framework for Predicting TCR-pMHC Binding through Complex Structural Analysis

main

Active

AI for science;adaptive immunity;TCR-pMHC binding;multimodal integration

applications to physical sciences (physics, chemistry, biology, etc.)

3;3;3;6

4;4;3;4

1;2;3;3

2;1;2;2

2;2;3;2

3.75

2.25

1.75

2.25

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vue9P1Ypk6

MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation

main

Active

Model-level explanation;Graph Neural Networks;Motif

interpretability and explainable AI

3;5;5;8

3;4;4;4

1;2;2;4

1;2;3;4

2;1;3;3

5.25

3.75

2.25

2.5

2.25

0.727607

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vunPXOFmoi

Benchmarking Agentic Workflow Generation

main

Active

workflow generation;graph structured planning;large language model;agent

datasets and benchmarks

5;5;6;6;6

4;4;5;3;3

3;2;4;3;3

3;2;3;3;3

3;2;4;3;3

5.6

3.8

3

2.8

3

-0.218218

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vuuYbA1vB2

Enhancing Mathematical Reasoning in Language Models Through Focused Differentiation Training

main

Active

large language model;alignment

foundation or frontier models, including LLMs

3;3;5;8

4;2;3;4

2;2;3;4

2;2;2;3

2;2;3;4

4.75

3.25

2.75

2.25

2.75

0.478861

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

vuvG5rNBra

Spurious Privacy Leakage in Neural Networks

main

Active

spurious correlation;membership inference;privacy;robustness;safety

alignment, fairness, safety, privacy, and societal considerations

1;3;3;8

4;4;4;5

2;2;2;3

3;2;3;4

3.75

4.25

2.25

3

0.948847

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vvD0VFw0LG

PruningBench: A Comprehensive Benchmark of Structural Pruning

main

Active

network compression;structural pruning;benchmark

datasets and benchmarks

3;3;5;8

4;4;4;3

2;3;3;3

2;2;2;3

2;3;3;3

4.75

3.75

2.75

2.25

2.75

-0.916949

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vvi5OjPhbu

Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks

main

Active

Chinese Video Datasets;Retrieval;Grounding;Generation

datasets and benchmarks

3;5;6;8

5;3;4;4

2;3;3;4

2;2;3;4

2;3;3;3

5.5

4

3

2.75

-0.392232

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vw0NurJ7UX

PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs

main

Active

Large language model; Token-wise outliers; Static quantization;

foundation or frontier models, including LLMs

3;3;3

3;4;4

2;3;1

3;1;1

1;3;2

3

3.666667

2

1.666667

2

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "Thank you for your comment. To address your concern, we reexplain how prefixquant works, and...

vwENIgfZdQ

Asking Specifically Instead of Ambiguously to Your GPT Improves Image Caption

main

Active

vision-language models;image captioning

applications to computer vision, audio, language, and other modalities

5;5;5;6;6

2;4;4;2;4

2;2;2;3;3

2;2;2;1;3

3;2;2;3;3

5.4

3.2

2.4

2

2.6

-0.166667

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vwOq7twk7L

Image-level memorization detection via inversion-based inference perturbation

main

Active

Text-to-image diffusion model;data memorization detection;DDIM Inversion

alignment, fairness, safety, privacy, and societal considerations

3;5;5;6

4;2;4;3

2;3;2;2

2;2;2;3

3;3;3;2

4.75

3.25

2.25

2.75

-0.4842

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

vx1vJIFvd5

O-Edit: Orthogonal Subspace Editing for Language Model Sequential Editing

main

Active

large language model;model editing;sequential editing

transfer learning, meta learning, and lifelong learning

5;5;5

4;4;3

2;2;3

3;2;2

2;3;3

5

3.666667

2.333333

2.666667

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vxBvr5ZpIu

Diffusion-PINN Sampler

main

Active

posterior sampling;multi-modal sampling;mixing proportion identification;diffusion model;physics-informed neural network

probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)

3;3;5;6

4;5;4;4

3;2;3;3

2;2;2;3

2;2;3;4

4.25

2.75

2.25

2.75

-0.555556

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

vxWDoD8oz7

Distortion-free and GPU-compatible Tree Embeddings in Hyperbolic Space

main

Active

Hyperbolic Geometry;Hyperbolic Tree Embeddings;Representation Learning;Hierarchical Learning

learning on graphs and other geometries & topologies

3;5;6;8;8

5;3;1;5;2

2;3;3;3;4

2;4;3;3;3

2;3;2;3;3

6

3.2

3

2.6

-0.263523

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

vxhzSm1D3J

Rethinking Degree-Corrected Spectral Clustering: a Pure Spectral Analysis & Extension

main

Active

Degree-corrected Spectral Clustering;Regularized Spectral Clustering;Graph Clustering;Spectral Graph Theory

other topics in machine learning (i.e., none of the above)

3;3;5;5;8

3;3;3;2;3

2;2;2;2;3

2;2;2;3;3

3;2;1;2;2

4.8

2.8

2.2

2.4

2

-0.054554

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

vxrtEHc97c

LagEncoder: A Non-Parametric Method for Representation Learning

main

Active

Non-parametric encoder;Finite element method;Interpretable model;Universal architecture;Scaling law;ImageNet;ResNet;ViT

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;5;5

4;2;4

2;3;3

2;2;2

2;3;1

4.333333

3.333333

2.666667

2

-0.5

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...