babytreecc/ICLR2025review · Datasets at Hugging Face

uxDFlPGRLX

FlowDec: A flow-based full-band general audio codec with high perceptual quality

main

Active

audio;audio codec;generative models;flow matching;postfilter;signal enhancement

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

5;6;6;8

4;3;4;5

2;3;3;3

2;4;4;4

6.25

4

2.75

3.5

0.648886

[ { "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":...

uxVBbSlKQ4

Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

main

Active

flow matching;time series forecasting;generative modeling;deep learning

learning on time series and dynamical systems

5;5;6;6

3;2;4;2

3;3;4;3

3;2;2;3

2;2;4;3

5.5

2.75

3.25

2.5

2.75

0.301511

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uxYbEAEWm4

Knowledge Lift Alignment Fine Tuning

main

Active

PEFT;PLM;LLM;VLM;Multi-modal;Image captioning

foundation or frontier models, including LLMs

3;3;5

4;3;3

2;2;2

1;1;1

3.666667

3.333333

2

1

-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": 3 }, "contribution": { "value":...

uy31tqVuNo

Unbounded: A Generative Infinite Game of Character Life Simulation

main

Active

Text-to-Image Generation;Interactive Image Generation

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

5;6

4;4

2;3

2;2

2;3

5.5

4

2.5

2

2.5

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":...

uy4EavBEwl

Reconciling Model Multiplicity for Downstream Decision Making

main

Active

model multiplicity;multi-calibration;decision-making;uncertainty quantification

alignment, fairness, safety, privacy, and societal considerations

3;6;6;6

4;3;4;3

2;3;3;3

2;3;3;2

1;3;3;3

5.25

3.5

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": 3 }, "contribution": { "value":...

uy9oR0nYCW

Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap

main

Active

self-supervised learning;explainability;deepfake audio;generalizability

interpretability and explainable AI

1;1;3;5

5;4;4;4

1;2;2;3

1;1;1;2

3;1;2;3

2.5

4.25

2

1.25

2.25

-0.522233

[ { "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":...

uyzkKPvVyS

Geometry-aware Score Distillation via 3D Consistent Noising and Gradients

main

Active

Diffusion Models;Score Distillation Sampling;Text-to-3D Generation

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

3;5;5;6

4;4;4;3

2;2;2;3

1;3;2;3

4.75

3.75

2.25

-0.662266

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uz4QiNHB16

FLAIR: A Foundation Model for Grapheme Recognition in Ancient Scripts with Few-Shot Learning

main

Active

Foundation Model;Few-Shot Learning;Prototypical Networks;Encoder Network;Indus Valley Civilization Script;Omniglot Dataset

foundation or frontier models, including LLMs

3;3;3;5

2;5;5;4

1;2;1;3

1;1;1;2

1;2;1;2

3.5

4

1.75

1.25

1.5

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 detailed review and for pointing out critical areas of improvement. Your ...

uzKG83YJ3t

BroadWay: Boost Your Text-to-Video Generation Model in a Training-free Way

main

Withdraw

generative models;text-to-video generation;video quality enhancement

generative models

Jiazi Bu;Pengyang Ling;Pan Zhang;Tong Wu;Xiaoyi Dong;Yuhang Zang;Yuhang Cao;Dahua Lin;Jiaqi Wang

~Jiazi_Bu1;~Pengyang_Ling1;~Pan_Zhang1;~Tong_Wu2;~Xiaoyi_Dong1;~Yuhang_Zang1;~Yuhang_Cao3;~Dahua_Lin1;~Jiaqi_Wang1

3;3;5;6;6

5;5;5;4;5

2;1;3;3;3

2;2;3;3;3

3;3;3;3;4

4.6

4.8

2.4

2.6

3.2

-0.516047

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "Thanks for your comments, we decide to make a thorough revision and resubmit this manuscript...

uzz3qAYy0D

VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking

main

Active

video;watermarking;tamper localization

alignment, fairness, safety, privacy, and societal considerations

3;3;3;6;8;8

5;4;5;4;4;5

2;2;2;3;3;3

2;2;2;3;4;3

3;2;1;3;3;3

5.166667

4.5

2.5

2.666667

2.5

-0.220564

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v0FzmPCd1e

Selective Attention Improves Transformer

main

Active

selective attention;attention;transformer;llm;language model

foundation or frontier models, including LLMs

3;3;5;8

4;3;3;4

2;2;3;3

3;3;3;4

3;1;3;3

4.75

3.5

2.5

3.25

2.5

0.366508

[ { "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":...

v0O9FrVTt1

Adaptive Source Localization on Complex Networks via Conditional Diffusion Model

main

Active

Diffusion Model;Knowledge Informed Machine Learning;Source Localization;Complex Network

learning on graphs and other geometries & topologies

5;5;5;5

3;5;4;4

3;2;2;2

2;2;3;2

3;3;4;3

5

4

2.25

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":...

v1B4aet9ct

Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure

main

Active

sparsity;graphical lasso;lasso;deep learning;neural networks

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

6;6;8

4;4;4

3;2;3

3;3;4

6.666667

4

2.666667

3.333333

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":...

v1OQ0kNq0w

MotionRL: Align Text-to-Motion Generation to Human Preferences with Multi-Reward Reinforcement Learning

main

Active

Motion Generation; Reinforcement Learning;

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

5;5;5;6;6

4;4;4;3;3

2;3;2;2;3

2;2;2;2;2

1;3;3;2;3

5.4

3.6

2.4

2

2.4

-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":...

v1f6c7wVBm

AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction

main

Active

Surface Reconstruction;Neural Radiance Field

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

5;5;6;6;8

4;4;5;4;4

2;2;3;3;3

2;3;2;2;3

2;3;3;3;3

6

4.2

2.6

2.4

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":...

v1qNr99R5n

CURVALID: A Geometrically-guided Adversarial Prompt Detection

main

Active

Large language models;Adversarial attacks;Local Intrinsic Dimension;Curvature

generative models

3;3;5;6

4;5;4;2

3;1;2;3

2;2;2;3

2;2;3;2

4.25

3.75

2.25

-0.83887

[ { "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":...

v1rFkElnIn

Decoupled Subgraph Federated Learning

main

Active

Federated Learning;Subgraph Federated Learning;Inter-Connected Graphs;GNN;Decoupled GCN

learning on graphs and other geometries & topologies

5;6;6

4;4;4

2;3;3

2;4;2

5.666667

4

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": 4 }, "contribution": { "value":...

v27yHgKtMv

Calibration of ordinal regression networks

main

Withdraw

Ordinal regression;Calibration;Deep neural networks;Unimodality;Loss function;Soft ordinal encoding;Label smoothing;Order-aware calibration

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

Daehwan Kim;Haejun Chung;Ikbeom Jang

~Daehwan_Kim4;~Haejun_Chung1;~Ikbeom_Jang1

3;3;5;5

5;4;4;5

1;2;3;2

2;2;2;2

1;2;2;2

4

4.5

2

1.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "We would like to thank our sincere gratitude to the reviewers and Area Chairs for their inva...

v2D1ASk5MT

Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents

main

Active

VLM Agent;Web/GUI Agent;VLM;Reinforcement Learning;Skill Discovery

foundation or frontier models, including LLMs

3;3;5;5;8

4;4;3;4;4

2;2;3;2;3

1;2;2;2;4

3;2;3;2;4

4.8

3.8

2.4

2.2

2.8

-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": 4 }, "contribution": { "value":...

v2NuTf6Kww

Network-based Active Inference for Adaptive and Cost-efficient Real-World Applications: PV Panel Inspection

main

Active

Active Inference (AIF);Free Energy Principle (FEP);Robotics;Trajectory generation;Random dynamical systems;Random attractor dynamics;Non-Equilibrium Steady State (NESS);Adaptive control;Industrial automation;Computational efficiency;Cost-efficient solutions

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

1;1;3;3;5;5

2;4;3;4;3;5

2;1;2;1;2;2

1;1;1;1;2;2

1;2;1;2;2;2

3

3.5

1.666667

1.333333

1.666667

0.426401

[ { "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":...

v2nEL42Pvb

SSGNN: Simple Yet Effective Spectral Graph Neural Network

main

Active

Spectral Graph Neural Networks;Graph Representation Learning

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

5;5;5;5

4;4;4;4

3;2;2;3

2;2;2;2

5

4

2.5

2

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":...

v2uPdQDwSz

Query Efficient Nonsmooth Stochastic Black-Box Bilevel Optimization with Bregman Distance

main

Active

zeroth-order gradient;bilevel optimization

optimization

3;3;5;5

4;4;4;3

1;2;3;3

2;2;3;2

2;2;2;3

4

3.75

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":...

v2zcCDYMok

PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling

main

Active

AI for Science; Precipitation Nowcasting; Diffusion Model; Zero-shot Blurriness Kernel; Auto-scale Denoise Guidance

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

3;3;6

4;3;3

2;2;3

4

3.333333

2.333333

-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": 3 }, "contribution": { "value":...

v3DwQlyGbv

Paramanu-Ganita: An Efficient Pre-trained Generative Mathematics Language Model with Chain-of-Thought Instruction Fine-Tuning

main

Active

reasoning;language models;pretraining;CoT fine-tuning;AI4Math

foundation or frontier models, including LLMs

1;3;3

5;5;4

1;2;3

1;1;2

1;2;2

2.333333

4.666667

2

1.333333

1.666667

-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":...

v3W9tdTGx5

Improving Group Connectivity for Generalization of Federated Deep Learning

main

Active

Deep learning;federated learning;generalization

transfer learning, meta learning, and lifelong learning

3;3;6

3;4;3

2;2;4

2;2;3

2;3;3

4

3.333333

2.666667

2.333333

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": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

v3XabZsB7j

CNN Variational autoencoders' reconstruction ability of long ECG signals

main

Active

VAE;CNN;electrocardiogram;reconstruction;compression;interpretability

interpretability and explainable AI

1;1;3;3

5;4;4;4

2;1;2;2

2;1;2;1

2;1;2;2

2

4.25

1.75

1.5

1.75

-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":...

v44CUwEeDY

Proper Orthogonal Decomposition for Scalable Training of Graph Neural Networks

main

Active

Graph Neural Networks;Scalability;Proper Orthogonal Decomposition;Sublinear Complexity

learning on graphs and other geometries & topologies

3;3;3;5

5;5;4;3

3;2;2;3

1;1;2;2

2;2;2;1

3.5

4.25

2.5

1.5

1.75

-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": 3 }, "contribution": { "value":...

v46TPwU0Uy

ControlVAR: Exploring Controllable Visual Autoregressive Modeling

main

Active

Autoregressive generation;Controllable image generation

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

3;5;5

5;5;4

2;2;3

1;2;3

2;2;1

4.333333

4.666667

2.333333

2

1.666667

-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": "I appreciate the reviewer's and AC's time and effort. I decide to withdraw the submission at...

v49jqwmGtM

Convergence Analysis of Gradient Descent under Coordinate-wise Gradient Dominance

main

Active

Non-convex Optimization;Nash Equilibrium;Gradient Dominance;Strict Saddle

optimization

5;5;6;6

4;4;3;2

2;3;2;3

2;2;2;3

3;3;3;4

5.5

3.25

2.5

2.25

3.25

-0.904534

[ { "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":...

v4Bl6tfaaO

Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates

main

Desk Reject

PEFT;LORA

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

Cristian Meo;Ksenia Sycheva;Carlo Saccardi;Anirudh Goyal;Pietro Lio;Justin Dauwels

~Cristian_Meo1;~Ksenia_Sycheva1;~Carlo_Saccardi1;~Anirudh_Goyal1;~Pietro_Lio1;~Justin_Dauwels1

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": { "value": "Line 146...

v4MTnPiYXY

Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning

main

Active

offline reinforcement learning;language models;dialogue;robotics

reinforcement learning

3;6;6;8

4;3;4;4

2;3;4;3

2;3;3;4

1;3;3;3

5.75

3.75

3

2.5

-0.080845

[ { "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":...

v4PnwdA056

DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models

main

Active

Large Language Models;Fairness;Privacy

alignment, fairness, safety, privacy, and societal considerations

3;3;5;5

5;3;3;3

2;3;3;2

2;2;2;2

3;3;3;3

4

3.5

2.5

2

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": 3 }, "contribution": { "value":...

v593OaNePQ

Learning to Search from Demonstration Sequences

main

Active

planning;reasoning;learning to search;reinforcement learning;large language model

reinforcement learning

5;5;6;10

3;4;4;4

3;2;4;4

2;2;3;3

2;2;2;4

6.5

3.75

3.25

2.5

0.420084

[ { "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":...

v5BouOktUP

Multivariate Time-series Forecasting with SPACE: Series Prediction Augmented by Causality Estimation

main

Active

Time Series Forecasting;Causal Learning;Transfer Entropy;Graph Based Learning

causal reasoning

3;3;3;5

4;4;5;4

3;2;2;2

2;2;2;3

1;3;3;3

3.5

4.25

2.25

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":...

v5JrYUdMxc

Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation

main

Withdraw

3D Generation;One Image to 3D Generation

generative models

Shuzhou Yang;Yu Wang;Haijie LI;Jiarui Meng;Yanmin Wu;Xiandong MENG;Jian Zhang

~Shuzhou_Yang1;~Yu_Wang85;~Haijie_LI2;~Jiarui_Meng1;~Yanmin_Wu1;~Xiandong_MENG1;~Jian_Zhang22

3;3;3;5

4;5;5;4

2;1;2;3

2;2;1;3

3;3;2;4

3.5

4.5

2

3

-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...

v5bK7cQch3

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

main

Active

3D medical image;functional connectivity network;contrastive learning;mental disease diagnosis

applications to neuroscience & cognitive science

3;5;5;5

4;4;4;3

2;2;2;2

3;2;2;2

4.5

3.75

2

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":...

v6NNopExN4

POST: A Framework for Privacy of Soft-prompt Transfer

main

Active

prompt transfer;soft prompt;privacy;distillation;confidentiality

alignment, fairness, safety, privacy, and societal considerations

3;5;6;6

4;4;3;4

2;2;3;2

2;3;3;2

3;2;3;3

5

3.75

2.25

2.5

2.75

-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":...

v6iLQBoIJw

Does SGD really happen in tiny subspaces?

main

Active

optimization for deep networks;training dynamics;SGD;Hessian;low-rank subspace

optimization

3;3;6;8

5;4;4;4

2;2;3;3

1;2;2;3

2;3;4;3

5

4.25

2.5

2

3

-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": 4 }, "contribution": { "value":...

v71Nsh6R7m

StructMoE: Augmenting MoEs with Hierarchically Routed Low Rank Experts

main

Withdraw

moe;mixture of experts;LLM;transformer

foundation or frontier models, including LLMs

Zain Sarwar;Ashwinee Panda;Benjamin Thérien;Stephen Rawls;Sambit Sahu;Supriyo Chakraborty

~Zain_Sarwar1;~Ashwinee_Panda1;~Benjamin_Thérien1;~Stephen_Rawls3;~Sambit_Sahu2;~Supriyo_Chakraborty1

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "I submitted the wrong manuscript for the final version." }, "confidence": null, ...

v7YrIjpkTF

Multimodal Quantitative Language for Generative Recommendation

main

Active

Recommendation System;Generative Recommendation

generative models

5;6;6;6

4;4;4;4

3;2;3;3

3;4;3;4

5.75

4

2.75

3.5

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":...

v7a4KET0Md

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors

main

Active

neuroscience;decision-making;inverse reinforcement learning

applications to neuroscience & cognitive science

3;3;6

4;3;3

2;2;3

1;2;4

2;3;3

4

3.333333

2.333333

2.666667

-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": 3 }, "contribution": { "value":...

v7aeTmfGOu

GenoAgent: A Baseline method for LLM-Based Exploration of Gene Expression Data in Alignment with Bioinformaticians

main

Active

Multi-agent;Bioinformatics

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

3;3;5;5

5;5;3;3

2;2;3;4

2;2;2;3

2;2;2;4

4

2.75

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":...

v8GuB74YRA

Generalizable Transferability Estimation of Foundation Vision Models via Implicit Learning

main

Active

Transferability Estimation;Transfer Learning

transfer learning, meta learning, and lifelong learning

1;5;5;5;5

4;4;5;4;4

2;3;3;2;3

1;3;3;2;3

2;3;2;3;2

4.2

2.6

2.4

0.25

[ { "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":...

v8RDgaEtE2

Regression Conformal Prediction under Bias

main

Active

Conformal Prediction;Bias;Uncertainty Quantification

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

1;1;3;5

3;5;4;3

2;2;2;3

1;1;2;2

2;3;2;3

2.5

3.75

2.25

1.5

2.5

-0.454545

[ { "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":...

v8qABSeeKO

MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge

main

Active

Multimodal knowledge editing; Large multimodal model; Benchmark

datasets and benchmarks

5;5;6;6

4;4;3;3

2;2;2;3

2;3;2;3

5.5

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":...

v9CDpLpjiE

Visual-O1: Understanding Ambiguous Instructions via Multi-modal Multi-turn Chain-of-thoughts Reasoning

main

Active

Understanding ambiguous instructions;large multimodal model;chain-of-thoughts;multimodal

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

5;5;6

3;4;4

3;2;3

2;3;3

5.333333

3.666667

2.666667

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":...

v9EjwMM55Y

UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery

main

Active

Few-shot molecular representation learning;maching learning

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

5;6;8;8

2;4;3;3

2;3;4;3

2;3;3;3

3;4;2;4

6.75

3

2.75

3.25

0.272166

[ { "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":...

v9GwGQoOG5

Beyond Markov Assumption: Improving Sample Efficiency in MDPs by Historical Augmentation

main

Active

Deep reinforcement learning;Sample efficiency;State representation;Historical augmentation;Markov decision processes

reinforcement learning

3;5;5;6

4;4;3;3

2;2;3;3

3;3;2;3

4.75

3.5

2.5

2.75

-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": 4 }, "contribution": { "value":...

v9LjNopQ6W

Do Not Mimic My Voice: Teacher-Guided Unlearning for Zero-Shot Text-to-Speech

main

Active

zero-shot tts;machine unlearning;voice privacy

alignment, fairness, safety, privacy, and societal considerations

3;3;5;8

4;4;3;4

2;4;3;3

2;1;2;3

2;2;2;3

4.75

3.75

3

2

2.25

-0.070535

[ { "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":...

v9fQfQ85oG

Multi-objective Multi-agent Reinforcement Learning with Pareto-stationary Convergence

main

Active

Multi-objective;multi-agent reinforcement learning;Pareto-stationary convergence

reinforcement learning

3;5;5;6

4;2;3;2

2;3;2;3

2;3;3;2

3;2;1;3

4.75

2.75

2.5

2.25

-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":...

vAoyZWyDEc

Approximating Optima of Nonconvex Functions

main

Withdraw

Computablity of Approximate Optima;Non-convex functions

optimization

K Lakshmanan

~K_Lakshmanan1

1;3;3;3

3;4;2;5

3;3;2;1

1;1;2;1

1;1;1;1

2.5

3.5

2.25

1.25

1

0.258199

[ { "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...

vAuodZOQEZ

Physics-Informed Neural Predictor

main

Active

Fluid dynamics;Spatiotemporal prediction;Physics-informed learning

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

3;3;5;8

4;4;5;3

2;2;3;4

2;2;2;3

3;1;2;3

4.75

4

2.75

2.25

-0.518321

[ { "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":...

vC7AlY1ytz

OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework

main

Active

camera-only occupancy forecasting;efficiency;effectiveness;autonomous driving

applications to robotics, autonomy, planning

6;6;6;6

3;4;4;5

3;3;3;4

3;3;2;4

3;3;3;3

6

4

3.25

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": 5 }, "contribution": { "value":...

vDecbmWf6w

Zero-Shot Offline Imitation Learning via Optimal Transport

main

Active

Imitation Learning;Deep Reinforcement Learning;Optimal Transport

reinforcement learning

3;6;6;6

3;2;2;3

2;3;3;3

2;4;3;3

1;4;2;4

5.25

2.5

2.75

3

2.75

-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": 3 }, "contribution": { "value":...

vDp6StrKIq

Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing

main

Active

equivariance;message passing;tensor representation;local frames;geometric deep learning

learning on graphs and other geometries & topologies

5;5;6

3;5;4

3;3;4

2;2;3

3;3;3

5.333333

4

3.333333

2.333333

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": 5 }, "contribution": { "value":...

vErsELb7Qg

LoRA Recycle: Towards Fine-Tuning-Free Visual Foundation Model via Double-Efficient Data-Free Meta-Learning

main

Active

data-free meta-learning;few-shot classification;synthetic data

transfer learning, meta learning, and lifelong learning

3;5;5;5

2;4;4;4

2;2;3;2

2;2;2;3

3;3;3;3

4.5

3.5

2.25

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": 4 }, "contribution": { "value":...

vEtDApqkNR

MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting

main

Active

Time Series Forcasting; State Space Model

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

3;5;5;6;8

4;4;2;3;3

1;2;2;3;3

2;2;2;3;3

3;1;2;2;3

5.4

3.2

2.2

2.4

2.2

-0.394771

[ { "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":...

vF4RhEPGtb

Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models

main

Active

Adversarial Transferability; Multimodal Large Language Models; Data Augmentation

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

3;3;5;6

4;4;3;4

2;2;2;3

2;1;3;2

4.25

3.75

2.25

2

-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":...

vFVjJsy3PG

Geometric Representation Condition Improves Equivariant Molecule Generation

main

Active

molecule generation;equivariant generative models;representation;geometric deep learning;diffusion models

learning on graphs and other geometries & topologies

5;5;5;5;8

4;3;3;3;3

3;4;3;2;3

3;3;2;2;4

3;4;3;3;3

5.6

3.2

3

2.8

3.2

-0.25

[ { "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":...

vFanHFE4Qv

Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive learning

main

Active

representation learning;biology;neuroscience;contrastive learning

applications to neuroscience & cognitive science

3;5;6;6

3;4;3;5

1;2;2;3

2;3;3;3

2;2;2;2

5

3.75

2

2.75

2

0.492366

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "Line 54 and 55: \n- Although VICReg does not explicitly use negative pairs like other contra...

vFfVXSP24J

ECG Instruction Tuning on Multimodal LLMs for Report Generation: Benchmark and Evaluation

main

Active

ECG;Instruction Tuning;LLMs

datasets and benchmarks

3;5;5;6;6;8

5;4;4;4;3;3

2;3;2;3;3;4

2;2;3;3;3;3

3;3;2;3;3;3

5.5

3.833333

2.833333

2.666667

2.833333

-0.889297

[ { "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":...

vFgmobsJiZ

Verbalized Machine Learning: Revisiting Machine Learning with Language Models

main

Active

Large Language Models

foundation or frontier models, including LLMs

3;3;5;5;6

4;4;4;4;5

1;2;2;2;4

2;2;3;2;4

2;3;3;4;4

4.4

4.2

2.2

2.6

3.2

0.666667

[ { "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":...

vG123yHVVl

Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models

main

Active

Backdoor Attacks;Physical Backdoor Attacks;Data Synthesis;Automated Framework

alignment, fairness, safety, privacy, and societal considerations

3;5;5;6

5;4;4;2

2;2;3;3

1;3;3;3

4.75

3.75

2.5

-0.894737

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "This paper plagiarized our work presented on arXiv , “Robust Backdoor Attack with Visible, S...

vG9dVXwXQV

Pre-Trained Vision-Language Model Selection and Reuse for Downstream Tasks

main

Active

Vision-Langage Model; Model Selection; Model Reuse

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

3;6;6

4;4;5

1;3;3

2;3;3

5

4.333333

2.333333

2.666667

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":...

vHO9mU87dc

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference

main

Active

Long-Context LLM Inference;KV Cache Optimization

foundation or frontier models, including LLMs

3;5;5;8

4;3;3;3

2;3;2;3

3;3;3;3

1;3;3;3

5.25

3.25

2.5

3

2.5

-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": 3 }, "contribution": { "value":...

vI5cjHMzP4

Eligibility Traces for Confounding Robust Off-Policy Evaluation: A Causal Approach

main

Active

Causal Inference;Graphical Models

causal reasoning

3;5;6;8

4;3;3;4

2;3;3;3

2;2;3;4

3;2;3;4

5.5

3.5

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":...

vIHmkF5rnC

Lower-level Duality Based Penalty Methods for Hyperparameter Optimization

main

Active

Bilevel Optimization;Hyperparameter Optimization;Nonsmooth Optimization

optimization

3;3;5;6

4;5;5;3

3;2;2;3

1;1;2;3

3;2;3;2

4.25

2.5

1.75

2.5

-0.522233

[ { "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":...

vJ0axKTh7t

The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs

main

Active

Multi-modal LLM;Visual Reasoning;Association

datasets and benchmarks

3;5;6;6

4;5;3;5

2;2;3;3

2;3;3;3

1;2;3;2

5

4.25

2.5

2.75

2

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":...

vJgJSrYPe1

Logic-Logit: A Logic-Based Approach to Choice Modeling

main

Active

Choice Model;Preference Learning;Interpretability;Rule Learning

interpretability and explainable AI

3;3;6;6

3;3;2;3

2;3;3;3

2;2;2;3

3;1;3;3

4.5

2.75

2.25

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": 3 }, "contribution": { "value":...

vJkktqyU8B

Memory Efficient Transformer Adapter for Dense Predictions

main

Active

Vision Transformer;Vision Transformer;Transformer

transfer learning, meta learning, and lifelong learning

5;5;6

4;4;4

2;3;3

3;2;3

2;3;3

5.333333

4

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": 4 }, "contribution": { "value":...

vJmpg0exYA

DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory

main

Active

Quantization;Discrepancy Theory;LLMs;Weights Only Quantization

infrastructure, software libraries, hardware, systems, etc.

3;3;6;6

5;4;2;3

3;3;3;3

2;2;3;4

3;3;3;3

4.5

3.5

3

2.75

3

-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": 4 }, "contribution": { "value":...

vJwjWyt4Ed

Learning View-invariant World Models for Visual Robotic Manipulation

main

Active

Robotic manipulation;reinforcement learning;world model

reinforcement learning

3;5;5;6;6

5;2;4;3;3

2;3;2;3;3

2;2;2;4;3

3;3;3;3;3

5

3.4

2.6

3

-0.716115

[ { "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":...

vK8C37eHXM

Sample what you can't compress

main

Active

autoencoders_diffusion+generative models

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

1;3;3;3;6

5;5;4;4;5

2;2;3;2;3

1;2;1;2;3

2;2;2;2;3

3.2

4.6

2.4

1.8

2.2

0.102062

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vKG270UOg4

BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network

main

Active

3D occupancy prediction; binarized networks

applications to robotics, autonomy, planning

3;5;5;5

3;2;3;4

3;3;3;2

3;2;3;2

3;3;2;3

4.5

3

2.75

2.5

2.75

0

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vKJ8YH0iNp

MGD$^3$: Mode-Guided Dataset Distillation using Diffusion Models

main

Active

Dataset Distillation; Dataset Condensation; Diffusion;

generative models

3;3;5;8

4;4;4;4

2;2;2;3

2;1;3;3

2;2;3;3

4.75

4

2.25

2.5

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":...

vKL1i2p5Xr

Text as Any-Modality for Zero-shot Classification by Consistent Prompt Tuning

main

Active

Multimodal Learning ; Prompt Learning; Zero-shot Classification;

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

5;5;5;5

4;3;4;3

3;1;3;2

3;2;3;2

3;2;2;2

5

3.5

2.25

2.5

2.25

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": 3 }, "contribution": { "value":...

vKgDbYKZrH

MOGIC: METADATA-INFUSED ORACLE GUIDANCE FOR IMPROVED EXTREME CLASSIFICATION

main

Active

recommendation systems;auxiliary information;extreme classification;metadata

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

5;5;5;6

4;3;2;5

3;2;3;3

2;2;2;3

2;1;2;2

5.25

3.5

2.75

2.25

1.75

0.774597

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vL9t9tpKli

Latent Radiance Fields with 3D-aware 2D Representations

main

Active

3D Gaussian Splatting;3D-aware Representation

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

5;5;5;6

5;4;4;4

3;2;3;4

2;3;2;3

3;3;3;3

5.25

4.25

3

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":...

vM4CdVScT8

Quantum Entanglement Trees: Optimizing Quantized Matrix Quantization via Element Replacement and Residual Clustering

main

Active

Matrix quantization;LLM Weight Quantization;KV Cache Quantization;Residual Quantization

infrastructure, software libraries, hardware, systems, etc.

3;3;5;5

5;4;2;3

2;2;2;3

2;2;2;1

1;2;2;3

4

3.5

2.25

1.75

2

-0.894427

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vM94dZiqx4

Long-tailed Adversarial Training with Self-Distillation

main

Active

Adversarial Robustness;Adversarial Training;Long-Tail Distribution Learning

alignment, fairness, safety, privacy, and societal considerations

5;6;6;6

4;4;3;4

3;3;3;3

2;3;3;3

2;2;4;3

5.75

3.75

3

2.75

-0.333333

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vMA0ATykNU

LSTR: Long-Short Range Aggregation for Trajectory Prediction at Intersection Scenarios

main

Active

motion prediction;autonomous driving;path_planning

applications to robotics, autonomy, planning

3;3;6;6

5;4;4;3

2;2;3;3

1;1;3;3

2;2;3;3

4.5

4

2.5

2

2.5

-0.707107

[ { "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":...

vMIVqlEWRw

Robin: a Suite of Multi-Scale Vision-Language Models and the CHIRP Evaluation Benchmark

main

Active

Vision-Language Models;Benchmarks;Scalling Suites

datasets and benchmarks

3;3;5

4;3;2

2;1;3

2;2;3

3.666667

3

2

2.333333

-0.866025

[ { "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":...

vNATZfmY6R

KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models

main

Active

large multimodal models;analogical reasoning;cognition;developmental psychology

foundation or frontier models, including LLMs

5;5;8;8

3;4;4;4

2;3;3;4

2;2;4;4

3;2;4;4

6.5

3.75

3

3.25

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":...

vNGv3dJATp

Towards Understanding Memory buffer based Continual Learning

main

Active

continual learning;memory;catastrophic forgetting;generalization

transfer learning, meta learning, and lifelong learning

3;3;3;6

4;4;2;3

2;2;1;3

1;2;1;2

3.75

3.25

2

1.5

-0.174078

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vNQLKY7nFM

Learn2Mix: Training Neural Networks Using Adaptive Data Integration

main

Active

adaptive training;deep learning;optimization

optimization

3;3;6

3;4;3

2;1;3

3;3;3

4

3.333333

2

3

-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": 3 }, "contribution": { "value":...

vNZIePda08

Sparse-to-Sparse Training of Diffusion Models

main

Active

Diffusion Models;Sparse-to-Sparse Training;Static Sparse Training;Dynamic Sparse Training

generative models

3;3;3;6

3;3;3;3

2;3;2;3

1;1;1;2

3;2;3;4

3.75

3

2.5

1.25

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":...

vNdOHr7mn5

Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries

main

Active

Sparsity;Regularization;Neural Networks;Overparametrization

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

1;6;6;8;8

4;4;4;3;4

3;3;3;3;3

1;3;3;3;3

2;3;3;4;3

5.8

3.8

3

2.6

3

-0.429478

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vOFx8HDcvF

Stochastic Bandits Robust to Adversarial Attacks

main

Active

Robust Algorithms;Multi-armed Bandits;Adversarial Attacks

learning theory

6;6;6

4;2;4

3;3;3

2;2;3

2;3;3

6

3.333333

3

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": 4 }, "contribution": { "value":...

vOSwtXGSA2

An Adaptive Defense Against Adversarial Patch Attacks For Vision Transformers

main

Active

vision transformer; adversarial patch attack; adptive defense

alignment, fairness, safety, privacy, and societal considerations

3;3;5;5

3;4;3;4

3;2;2;3

2;2;2;2

3;2;3;3

4

3.5

2.5

2

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":...

vOfDGYGVyj

Sparse Mamba: Reinforcing Controllability In Structural State Space Models

main

Active

Mamba;state space models;natural language processing

foundation or frontier models, including LLMs

1;3;3;3

5;5;3;5

1;1;3;2

1;2;2;1

2;1;3;1

2.5

4.5

1.75

1.5

1.75

-0.333333

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vPOMTkmSiu

Scaling Laws for Downstream Task Performance in Machine Translation

main

Active

scaling laws;transfer learning;machine translation;large language models;data valuation

foundation or frontier models, including LLMs

3;6;8;8;8

4;4;4;3;3

2;3;4;3;3

2;3;3;3;2

1;2;3;4;3

6.6

3.6

3

2.6

-0.583333

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vQ0zFYJaMo

Your Task May Vary: A Systematic Understanding of Alignment and Safety Degradation when Fine-tuning LLMs

main

Active

safety alignment;task similarity;guardrail durability

alignment, fairness, safety, privacy, and societal considerations

3;5;5

3;4;4

2;3;2

2;2;3

3;3;3

4.333333

3.666667

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":...

vQ1y086Kn2

UnrealCV Zoo: Enriching Photo-realistic Virtual Worlds for Embodied AI Agents

main

Active

Virtual worlds; Embodied AI; Embodied Tracking and Navigation; Visual RL;

datasets and benchmarks

3;5;5;5

4;2;4;4

2;2;3;3

3;2;2;2

1;3;3;3

4.5

3.5

2.5

2.25

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":...

vQFw9ryKyK

ImagineNav: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination

main

Active

Robotics;Visual Navigation;Vision-Language Model;Scene Imagination

applications to robotics, autonomy, planning

3;5;5;6

4;4;4;3

2;3;3;3

2;3;2;3

2;3;2;2

4.75

3.75

2.75

2.5

2.25

-0.662266

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vQIVbfTMzf

Adapting to both finite-sample and asymptotic regimes

main

Withdraw

algorithmic adaptivity;empirical risk minimization;finite-sample regime;asymptotic regime.

learning theory

Qiang Sun

~Qiang_Sun2

1;3;3;6

4;3;5;3

2;2;1;4

1;2;1;3

1;2;2;4

3.25

3.75

2.25

1.75

2.25

-0.46442

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vQhn4wrQ6j

Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models

main

Active

model souping;model merging;cross-lingual transfer;multilingual;math;mathematical reasoning;LLM;SFT

transfer learning, meta learning, and lifelong learning

5;6;8

4;4;4

4;3;4

2;3;3

3;3;4

6.333333

4

3.666667

2.666667

3.333333

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":...

vQxqcVGrhR

DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation

main

Active

Visual Disentanglement and Enrichment;Zero-shot Customization;Text-to-Image Generation

generative models

3;5;6;6

4;4;4;3

2;3;3;3

1;3;3;3

2;2;3;3

5

3.75

2.75

2.5

-0.471405

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vR2MWaZ3MG

Matchmaker: Schema Matching with self-improving compositional LLM programs

main

Active

schema matching;data-centric AI;Large Language Models;healthcare

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

3;3;5;8

4;4;4;4

2;3;3;4

2;2;2;3

1;4;4;4

4.75

4

3

2.25

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":...

vRvVVb0NAz

When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers

main

Active

Task arithmetic;generalization;nonlinear Transformers;deep learning theory;machine unlearning

learning theory

5;6;6;8

3;2;2;3

3;3;3;4

2;3;3;4

6.25

2.5

3.25

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": 2 }, "contribution": { "value":...

vSrBzCzg4G

Efficient Training of Sparse Autoencoders for Large Language Models via Layer Clustering

main

Active

Sparse Autoencoders (SAEs);Meta Learning;Mechanistic Interpretability;Large Language Models (LLMs)

interpretability and explainable AI

3;3;3;3;3

4;4;3;3;5

1;3;1;2;2

3;1;1;2;1

1;2;3;2;3

3

3.8

1.8

1.6

2.2

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":...