babytreecc/ICLR2025review · Datasets at Hugging Face

wQHyjIZ1SH

NRGBoost: Energy-Based Generative Boosted Trees

main

Active

Energy-Based Models;Generative Models;Gradient Boosting;Tabular Data

generative models

3;5;6;6

3;3;4;3

1;3;2;3

1;3;4;3

1;4;2;3

5

3.25

2.25

2.75

2.5

0.471405

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wQk6yaRGOi

Improving Discrete Diffusion with Schedule-Conditioning

main

Active

discrete diffusion;image generation;language model

generative models

5;5;6;8

4;2;2;4

2;3;3;3

2;2;3;3

2;2;1;3

6

3

2.75

2.5

2

0.408248

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wQkERVYqui

Embedding Safety into RL: A New Take on Trust Region Methods

main

Active

reinforcement learning;safety;information geometry

reinforcement learning

3;3;5;6;8

4;4;2;3;3

3;2;2;3;3

2;2;2;3;3

3;3;3;3;3

5

3.2

2.6

2.4

3

-0.563436

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wRbSdbGyfj

Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification

main

Active

Transfer learning;Node Classification;Graph Convolution;High-Dimensional

transfer learning, meta learning, and lifelong learning

3;5;5;6

5;5;3;3

2;3;2;3

2;2;2;3

4.75

4

2.5

2.25

-0.688247

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wSErgkwDZO

Can MLLMs Understand the Deep Implication Behind Chinese Images?

main

Active

Multimodel Large Language Models;Language and Vision

datasets and benchmarks

3;3;3;5;6

5;5;4;5;2

3;3;2;3;3

2;2;2;2;3

3;3;3;4;3

4

4.2

2.8

2.2

3.2

-0.677908

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wSkvf2WyYz

SBSC: Step-by-Step Coding for Improving Mathematical Olympiad Performance

main

Active

math AI;LLM math reasoning

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

5;6;6;6

4;4;4;3

3;4;3;3

1;4;2;3

3;4;3;2

5.75

3.75

3.25

2.5

3

-0.333333

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wSozvhEYq7

Achieving Optimal Complexity in Decentralized Learning over Row-Stochastic Networks

main

Withdraw

decentralized stochastic optimization;directed graph;row-stochastic matrix;gradient tracking

optimization

Liyuan Liang;Xinyi Chen;Gan Luo;Kun Yuan

~Liyuan_Liang1;~Xinyi_Chen9;~Gan_Luo1;~Kun_Yuan4

0

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wT1aFmsXOc

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data

main

Active

Memorization;Tabular Data;Diffusion Models

generative models

3;3;5;6

4;5;3;3

3;1;2;3

2;1;2;3

4;3;2;3

4.25

3.75

2.25

2

3

-0.870388

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wTLc79YNbh

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

main

Active

Kolmogorov-Arnold Network; Time Series Forecasting

learning on time series and dynamical systems

3;5;8;8

5;5;5;2

1;3;3;4

1;2;4;3

2;3;3;4

6

4.25

2.75

2.5

3

-0.544331

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wTm4W39GdD

Emergence of Hierarchical Emotion Representations in Large Language Models

main

Active

LLM;emotion

alignment, fairness, safety, privacy, and societal considerations

3;5;5;6

4;2;3;3

2;2;3;4

3;2;2;4

3;2;4;3

4.75

3

2.75

3

-0.648886

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wUFbwlHvbk

Integration Flow Models

main

Active

integration flow;ode-based generative models;diffusion models

generative models

1;5;5;5

4;3;4;3

2;2;2;3

2;2;3;2

2;2;2;2

4

3.5

2.25

2

-0.57735

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wUbum0nd9N

On Calibration of LLM-based Guard Models for Reliable Content Moderation

main

Active

Content Moderation;LLM-based Guard Models;Calibration;Safety

alignment, fairness, safety, privacy, and societal considerations

5;5;6;6

4;4;2;2

3;3;3;2

2;3;3;2

3;3;3;2

5.5

3

2.75

2.5

2.75

-1

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wUtCieKuQU

Towards Effective Evaluations and Comparison for LLM Unlearning Methods

main

Active

llm unlearning

foundation or frontier models, including LLMs

3;5;5;6

4;3;3;3

2;2;2;3

2;2;1;3

4.75

3.25

2.25

2

-0.927173

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wUtXB43Chi

FlashMask: Efficient and Rich Mask Extension of FlashAttention

main

Active

Attention Mask Efficient Representation;Efficient Attention Computation;Long context;IO complexity;GPUs;LLMs

infrastructure, software libraries, hardware, systems, etc.

6;6;6;8

4;5;4;4

3;3;3;3

3;2;3;3

3;3;4;3

6.5

4.25

3

2.75

3.25

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

wV9iMiyQcc

RotPruner: Large Language Model Pruning in Rotated Space

main

Active

network pruning;sparsity;Large Language Model

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

3;5;6

4;4;3

2;3;3

2;2;3

1;3;3

4.666667

3.666667

2.666667

2.333333

-0.755929

[ { "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":...

wVADj7yKee

SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs

main

Active

PDE;High Dimension;Neural ODE

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

3;5;8

3;3;2

3;3;3

2;3;3

4;2;3

5.333333

2.666667

3

2.666667

3

-0.917663

[ { "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":...

wVMzK2Feuu

Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data

main

Active

Long-tail learning，Neural network pruning，Multi-objective Optimization

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

3;5;6;6

4;3;2;4

1;2;3;3

2;3;2;2

1;2;3;2

5

3.25

2.25

2

-0.492366

[ { "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":...

wVTJRnZ11Z

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach

main

Active

integer linear programming;symmetry;machine learning;graph neural networks

optimization

3;5;5;6

2;4;5;2

2;2;3;3

2;2;2;3

2;3;3;2

4.75

3.25

2.5

2.25

2.5

0.220755

[ { "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":...

wVmShpwtY0

Efficient Protein Optimization via Structure-aware Hamiltonian Dynamics

main

Active

protein engineering;hamiltonian monte carlo;directed evolution;ai4science

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

3;3;5;5

5;5;4;4

1;2;3;3

2;2;2;2

1;1;3;2

4

4.5

2.25

2

1.75

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

wWPiAjbR7a

MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders

main

Active

Mental health;Self-play;Co-evolve;Iterative training

applications to neuroscience & cognitive science

3;3;3;5;6

4;2;4;3;4

2;2;2;3;2

2;2;2;3;3

2;3;4;3;3

4

3.4

2.2

2.4

3

0.197642

[ { "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":...

wWcNhS4g1U

The Scene Language: Representing Scenes with Programs, Words, and Embeddings

main

Active

3D scene generation; visual programs

generative models

3;5;5;6

3;3;3;4

2;2;3;3

3;3;3;3

4.75

3.25

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":...

wWhZ2RFAxF

PowerSoftmax: Towards secure LLM Inference Over Encrypted Data

main

Active

Secure LLMs;Secure Transformers;Privacy Preserving;Homomorphic Encryption (HE)

alignment, fairness, safety, privacy, and societal considerations

3;3;3;6

3;4;4;4

3;3;2;3

2;2;2;4

2;2;3;3

3.75

2.75

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":...

wWnsoLhHwt

Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct

main

Active

LLM;Interpretability;AI;Activation Steering;Representation Engineering;Control

foundation or frontier models, including LLMs

3;5;8;8

4;2;3;3

2;3;4;3

2;3;3;3

3;2;3;3

6

3

2.75

-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":...

wWpChcKLwB

Context-Aware Kernel Search for Bayesian Optimization with Large Language Models

main

Active

Bayesian optimization;Gaussian processes;kernel design;large language models

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

3;5;5;6

3;3;4;4

2;2;2;3

3;3;3;3

4.75

3.5

2.25

3

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":...

wXIncJRlK0

Mirror Descent Actor Critic via Bounded Advantage Learning

main

Active

reinforcement learning;regularization;KL divergence;entropy;actor critic

reinforcement learning

3;5;6;6

3;3;2;3

2;3;3;2

1;3;3;3

1;3;2;3

5

2.75

2.5

2.25

-0.471405

[ { "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 reviewing our paper. We truly appreciate your comments. Your positive response...

wXSshrxlP4

GOPS: Learning Generative Object Priors for Unsupervised 3D Instance Segmentation

main

Active

3D scene object segmentation;unsupervised learning

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

5;6;6

4;3;4

2;3;4

2;3;3

3;3;3

5.666667

3.666667

3

2.666667

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

wY5DE4Iuc8

INRscrecon: Enhancing 3D Spatial Transcriptomics Reconstruction through Implicit Neural Representations

main

Active

Spatial Transcriptomics reconstruction;Implicit Neural Representations;alignment

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

1;3;3;5

4;4;4;2

1;1;2;2

2;2;2;3

1;2;2;2

3

3.5

1.5

2.25

1.75

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

wYJII5BRYU

Learning Successor Features with Distributed Hebbian Temporal Memory

main

Active

temporal memory;successor features;online learning;Hebbian learning

learning on time series and dynamical systems

3;3;6;6

2;2;2;4

2;2;3;3

2;3;3;4

1;2;2;2

4.5

2.5

3

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":...

wYVP4g8Low

Local Control Networks (LCNs): Optimizing Flexibility in Neural Network Data Pattern Capture

main

Active

Optimization;Learning Representation;Neural Network;Activation Function

optimization

1;3;3;5

3;4;3;3

1;2;2;2

2;2;3;3

3

3.25

1.75

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

wYWJFLQov9

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation

main

Active

Graph Neural Network; Graph Dataset Condensation

learning on graphs and other geometries & topologies

5;6;6

4;3;3

3;3;3

3;2;3

2;3;2

5.666667

3.333333

3

2.666667

2.333333

-1

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wYZ8rxwvMm

Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions

main

Active

Preference Based Reinforcement Learning;Offline Reinforcement Learning

reinforcement learning

3;3;3;3

4;4;4;4

2;1;2;2

1;1;2;2

1;2;2;2

3

4

1.75

1.5

1.75

0

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wYxOMEzpkl

A Solvable Attention for Neural Scaling Laws

main

Active

self-attention;scaling laws;solution of learning dynamics

learning theory

5;5;6;8

4;3;4;3

3;2;3;3

2;3;3;4

6

3.5

2.75

3

-0.408248

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wZbkQStAXj

PersonaEval: Benchmarking LLMs on Role-Playing Evaluation Tasks

main

Active

Role-playing;evaluating evaluators

datasets and benchmarks

3;3;5;5

4;3;4;3

2;2;3;2

2;2;2;2

3;3;3;2

4

3.5

2.25

2

2.75

0

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wZiH43e5Ah

Conceptualize Any Network: A Concept Extraction Framework for Holistic Interpretability of Image Classifiers

main

Active

Explainability;Computer Vision;CNN;ViT

interpretability and explainable AI

1;3;3;5

5;4;4;4

1;3;2;3

1;2;2;2

1;3;3;2

3

4.25

2.25

1.75

2.25

-0.816497

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waGoVEQvT9

Scaling 3D Compositional Models for Robust Classification and Pose Estimation

main

Active

analysis by synthesis;image classification;3D representation;compositional models

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

3;5;5;6

4;2;4;4

2;2;1;3

2;1;3;3

4.75

3.5

2

2.25

-0.132453

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waHmD2i1dv

CausalVE: Face Video Privacy Encryption via Causal Video Prediction

main

Active

Bioprivacy;Diffusion model;Face swapping;Video Prediction;Reversible neural networks;Video Hiding

alignment, fairness, safety, privacy, and societal considerations

3;3;5;5;6

4;4;2;5;4

2;2;3;2;3

2;2;2;2;3

3;1;3;1;2

4.4

3.8

2.4

2.2

2

-0.102062

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waIltEWDr8

WASUP: Interpretable Classification with Weight-Input Alignment and Class-Discriminative SUPports Vectors

main

Active

explainability;interpretability;case-based reasoning

interpretability and explainable AI

1;3;3;3;5

5;4;3;3;4

1;2;2;3;2

2;3;2;2;2

1;2;2;2;3

3

3.8

2

2.2

2

-0.422577

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waf6HreC53

Quantum Architecture Search With Unsupervised Representation Learning

main

Active

Quantum Circuit Architecture Search;QAS;unsupervised representation learning

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

3;3;3;5

4;5;5;3

2;2;1;2

2;3;2;2

3.5

4.25

1.75

2.25

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

wazvIr0Sw0

OpenDAS: Open-Vocabulary Domain Adaptation for Segmentation

main

Active

Computer Vision;Vision-Language Models;Domain Adaptation;Open-Vocabulary Segmentation;Prompt Tuning

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

3;3;5;5

3;4;5;5

3;2;3;3

2;2;2;2

2;3;3;3

4

4.25

2.75

2

2.75

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":...

wdmI6A9d2w

Visual Scratchpads: Enabling Global Reasoning in Vision

main

Active

reasoning;scratchpad;vision;visual reasoning

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

3;3;5;6

4;4;4;4

2;2;3;3

2;1;2;3

2;2;3;3

4.25

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":...

wdzCyr1stL

Conformal Prediction with Model-Aware Debiasing

main

Active

conformal prediction;model-aware debiasing;statistical inference;prediction interval

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

3;3;3;5

4;5;4;4

2;3;1;3

2;2;2;3

2;1;2;3

3.5

4.25

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

weM4YBicIP

Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency

main

Active

Diffusion Model;Avatar;Portrait Animation;Audio-Condition Video Generation

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

6;8;8;8

4;4;4;5

4;4;4;4

3;3;4;4

4;3;3;4

7.5

4.25

4

3.5

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":...

wetJo6xXb1

Defensive Prompt Patch: A Robust and Generalizable Defense of Large Language Models against Jailbreak Attacks

main

Withdraw

NLP;AI Safety;Adversarial Jailbreaking;Jailbreak Defense

alignment, fairness, safety, privacy, and societal considerations

Chen Xiong;Xiangyu Qi;Pin-Yu Chen;Tsung-Yi Ho

~Chen_Xiong2;~Xiangyu_Qi2;~Pin-Yu_Chen1;~Tsung-Yi_Ho2

3;5;5;5

3;4;3;4

3;3;3;2

2;2;3;2

1;3;3;3

4.5

3.5

2.75

2.25

2.5

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "We thank the reviewers for their time and effort in evaluating our paper. After careful cons...

wfLuiDjQ0u

Making Text Embedders Few-Shot Learners

main

Active

large language model;embedding model;in-context learning

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

6;6;6;8

4;4;4;4

4;3;3;3

4;3;2;3

4;3;3;3

6.5

4

3.25

3

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":...

wg1PCg3CUP

Scaling Laws for Precision

main

Active

quantization;scaling laws;precision;language models

foundation or frontier models, including LLMs

6;6;8;8

3;3;4;3

3;3;3;3

3;3;4;3

7

3.25

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

wg3rBImn3O

Provably Accurate Shapley Value Estimation via Leverage Score Sampling

main

Active

Explainable AI;Active Regression;Shapley Values;Leverage Scores

interpretability and explainable AI

5;8;8

2;3;4

3;4;4

2;4;3

2;4;4

7

3

3.666667

3

3.333333

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

wgDB1QuxIA

MGDA Converges under Generalized Smoothness, Provably

main

Active

Multi-Objective Optimization;Generalized Smoothness;Convergence Analysis;Sample Complexity

optimization

3;5;5;8

3;2;2;2

2;2;3;3

2;2;2;3

3;3;2;3

5.25

2.25

2.5

2.25

2.75

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

wgHJDHW65K

Representational Knowledge Distillation Across Wearable Biosignals

main

Active

Health;Foundation models;Knowledge distillation;Unsupervised learning;Self-supervised learning;Biosignals;Wearable devices

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

3;3;5;6;8

4;4;3;4;4

1;2;2;3;3

2;1;3;2;3

2;3;2;3;3

5

3.8

2.2

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":...

wgKW4U7ktq

VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning

main

Active

Multi-modal Large Language Model;Scientific Reasoning;Benchmark

datasets and benchmarks

3;3;5;8

4;4;4;5

2;2;2;3

2;2;3;4

2;3;3;3

4.75

4.25

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":...

wgRQ2WAORJ

Aligning Visual Contrastive learning models via Preference Optimization

main

Active

contrastive learning;preference optimization;alignment;reinforcement learning from human feedback;robustness;computer vision

alignment, fairness, safety, privacy, and societal considerations

3;5;5;8

4;4;3;2

2;3;3;3

2;3;2;4

1;2;4;4

5.25

3.25

2.75

-0.886621

[ { "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":...

wgnMdxS2nZ

MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption

main

Active

Quantum Federated Learning;Fully Homomorphic Encryption;Multimodal Quantum Mixture of Experts

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

3;3;3;3;5

4;3;2;2;3

2;2;2;2;3

1;2;3;2;2

2;2;2;2;2

3.4

2.8

2.2

2

0.133631

[ { "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":...

wh6pilyz2L

Chronicling Germany: An Annotated Historical Newspaper Dataset

main

Active

historic newspaper processing;digital history;computer vision

datasets and benchmarks

3;5;6;6

5;5;3;4

1;3;3;3

1;2;2;2

2;3;3;3

5

4.25

2.5

1.75

2.75

-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":...

whXHZIaRVB

Dynamic Skill Adaptation for Large Language Models

main

Active

Large Language Models;Skill Adaptation;Skill Graph

foundation or frontier models, including LLMs

3;3;6

3;4;4

2;2;3

2;2;2

2;3;3

4

3.666667

2.333333

2

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":...

whaO3482bs

ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains

main

Active

Temporal knowledge;Knowledge update

datasets and benchmarks

3;5;6;6

3;4;4;4

2;3;3;3

1;4;2;3

5

3.75

2.75

2.5

0.942809

[ { "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":...

wixDdL0vj8

Collaborative Data Optimization

main

Active

Unlabeled Data;Data Optimization;Efficiency

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

3;3;3;5;5

4;3;4;2;4

1;2;1;2;2

1;2;2;2;3

1;2;3;3;3

3.8

3.4

1.6

2

2.4

-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":...

wj4Az2454x

UKAN: UNBOUNDED KOLMOGOROV-ARNOLD NETWORKS

main

Active

KAN;Acceleration;Unbounded KAN;Grid Free;Function Approximation

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

5;5;5

4;2;3

3;3;3

2;2;2

5

3

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

wjPa7GUIR9

Fragile Giants: Understanding Susceptibility of Models to Subpopulation Attacks

main

Active

poisoning;robustness;subpopulations

alignment, fairness, safety, privacy, and societal considerations

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

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

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

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

5.714286

3.142857

2.571429

3

0.709443

[ { "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":...

wjgNVsbT3T

TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles

main

Active

Benchmark; LLM Evaluation

datasets and benchmarks

1;3;5;5;5

4;4;3;4;4

1;2;3;2;2

1;2;2;2;2

2;3;3;3;2

3.8

2

1.8

2.6

-0.375

[ { "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":...

wkHcXDv7cv

Tuning Frequency Bias of State Space Models

main

Active

state-space models;sequence models;Long-Range Arena;frequency bias

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

6;8;8;8

3;2;4;3

3;4;3;4

3;3;3;4

3;3;4;4

7.5

3

3.5

3.25

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

wkbx7BRAsM

Autoregressive Transformers are Zero-Shot Video Imitators

main

Active

Video Generation;Transformer;Zero-Shot

generative models

5;5;6;8

4;4;4;4

3;2;3;3

2;2;3;4

3;2;3;3

6

4

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":...

wkmCbrrDQN

Continuous Speech Synthesis using per-token Latent Diffusion

main

Active

Speech Synthesis;Continuous Sequence Modeling;Latent Diffusion

generative models

3;3;3;6;6

5;4;3;4;2

2;2;2;2;4

2;2;1;3;3

3;2;3;3;3

4.2

3.6

2.4

2.2

2.8

-0.480384

[ { "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":...

wkp57p0uhm

WebCanvas: Benchmarking Web Agents in Online Environments

main

Active

web automation; benchmark; LLM; language-guided agents

datasets and benchmarks

3;5;5;6

4;3;3;4

2;2;2;3

3;3;3;4

4.75

3.5

2.25

3.25

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

wl1Kup6oES

From Appearance to Motion: Aligning Visual Representations for Robotic Manipulation

main

Active

pretrained;frozen;motion;features;policy;behavioral-cloning

applications to robotics, autonomy, planning

1;3;3;5

5;4;4;4

1;3;2;2

1;2;2;2

3

4.25

2

1.75

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

wl4c9jvcyY

AutoGUI: Scaling GUI Grounding with Automatic Functionality Annotations from LLMs

main

Active

Vision language model;Large language model;Embodied AI;GUI understanding;Web agent

datasets and benchmarks

3;3;6;8

4;5;3;4

2;1;3;3

2;2;3;3

3;3;3;3

5

4

2.25

2.5

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":...

wldwEhQ7cl

Robust Deep Equivariant Structure from Motion

main

Active

3D Reconstruction;Outlier Removal;Structure from Motion

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

5;5;8

4;4;4

2;3;3

1;2;3

2;3;3

6

4

2.666667

2

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":...

wm5wwAdiEt

Learning to Construct Implicit Communication Channel

main

Active

implicit communication;multi-agent reinforcement learning;the Hanabi challenge

reinforcement learning

3;3;5;8

3;4;3;3

2;2;2;3

4.75

3.25

2.25

-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":...

wmFp2aMhi0

Federated Time Series Generation on Feature and Temporally Misaligned Data

main

Active

time series;generative model;federated learning

generative models

3;5;5;6

5;5;3;4

2;3;3;4

2;3;3;3

2;3;3;4

4.75

4.25

3

2.75

3

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

wmV4cIbgl6

CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series

main

Active

Causal Discovery;Benchmarking;Time-series

datasets and benchmarks

3;6;8

4;4;4

3;3;4

3;4;4

3;3;4

5.666667

4

3.333333

3.666667

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":...

wmmDvZGFK7

PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and Future

main

Active

diffusion models;accelerated sampling;training-free sampler;orthogonal sampling method

generative models

3;5;6

4;3;4

2;2;4

2;3;3

1;3;3

4.666667

3.666667

2.666667

2.333333

-0.188982

[ { "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":...

wnT8bfJCDx

Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation

main

Active

Explainability;Interpretability;Gated-Linear RNNs;Attention-free;Mamba

interpretability and explainable AI

5;6;6;8

3;2;2;3

3;3;3;3

2;3;3;3

3;3;2;4

6.25

2.5

3

2.75

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

wojnTvBXqt

Learning to Rewrite: Generalized Detection of LLM-Generated Text

main

Active

LLM-generated text detection;AIGC detection

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

3;3;6;6

5;4;4;3

2;2;3;3

2;2;3;2

1;3;3;2

4.5

4

2.5

2.25

-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":...

womU9cEwcO

Autonomous agents from automatic reward modeling and planning

main

Active

agents;large language models;planning

foundation or frontier models, including LLMs

6;6;6

4;3;3

4;2;3

3;2;3

6

3.333333

3

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":...

wozhdnRCtw

Improving Instruction-Following in Language Models through Activation Steering

main

Active

Interpretability;Mechanistic Interpretability;Instruction-following;Activation Steering;LLMs

interpretability and explainable AI

6;6;6;6

4;4;3;3

3;3;3;3

3;2;3;3

3;4;3;3

6

3.5

3

2.75

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

wpL3otU9eY

CBM-zero: Concept Bottleneck Model With Zero Performance Loss

main

Active

interpretability;explainability;concept bottleneck model

interpretability and explainable AI

1;3;3;5

5;4;5;3

1;2;3;2

2;1;1;3

1;3;3;3

3

4.25

2

1.75

2.5

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

wq4AeBWQJ4

GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis

main

Active

Graph Neural Networks for EDA;Logic Synthesis;Formal Verification

learning on graphs and other geometries & topologies

3;3;3;5

4;5;4;4

2;2;2;2

2;1;2;2

3.5

4.25

2

1.75

-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":...

wqA7QmpUwa

LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture

main

Active

Efficient Multimodal Large Language Model;Transformer-Mamba Hybrid Architecture

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

5;5;5;8

3;5;5;2

2;3;2;3

3;2;2;2

2;2;3;3

5.75

3.75

2.5

2.25

2.5

-0.777778

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wrVZ771SZQ

VISAGNN: Versatile Staleness-Aware Training for Efficient Large-Scale GNNs

main

Active

Graph machine learning;Large scale GNNs;Staleness awareness

learning on graphs and other geometries & topologies

3;3;3;5

4;4;5;4

2;2;3;2

2;2;2;2

3;2;3;2

3.5

4.25

2.25

2

2.5

-0.333333

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wrXCIsysqB

GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians

main

Active

3D Decompostion;3D Reconstruction;3D Editing

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

5;5;5;6;6

4;4;4;4;2

2;2;3;3;3

3;3;3;3;3

3;3;2;3;3

5.4

3.6

2.6

3

2.8

-0.612372

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wryFCrWB0A

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation

main

Active

Autoregressive Model;Image Generation;Vision-Language Model;Large Language Model

foundation or frontier models, including LLMs

3;5;5;6;6

4;4;4;4;3

1;3;2;2;4

1;2;3;3;3

1;3;3;3;4

5

3.8

2.4

2.8

-0.456435

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ws5phQki00

The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions

main

Active

large language models;stance detection;data augmentation;active learning;online political discussions

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

5;6;6

2;3;3

3;2;3

2;2;3

2;3;2

5.666667

2.666667

2.333333

1

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wsWCVrH9dv

Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse

main

Active

explainability;feature attribution;algorithmic recourse;regulation

interpretability and explainable AI

3;5;6;8

4;4;3;5

2;3;3;4

2;2;2;4

2;3;3;4

5.5

4

3

2.5

3

0.392232

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wsb9GNh1Oi

Learning Multiple Initial Solutions to Optimization Problems

main

Active

optimization;initialization;optimal control;robotics;autonomous driving

optimization

3;5;5;5

5;5;3;3

4;2;3;2

1;2;2;2

3;3;3;3

4.5

4

2.75

1.75

3

-0.57735

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wtMh0PxDPO

3D-GP-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors

main

Active

Multi-View Image Compression; 3D Gaussian Splatting; Deep Learning

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

3;5;5;5

4;4;3;4

2;3;2;3

2;2;2;3

1;3;3;3

4.5

3.75

2.5

2.25

2.5

-0.333333

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wtNxByjLW3

Identify Dominators: The Key To Improve Large-Scale Maximum Inner Product Search

main

Active

high-dimensional vector;information retrieval;vector based retrieval;graph methods;nearest neighbor;maximum inner product search;similarity search

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

1;5;6;6;6

5;4;4;5;4

1;2;4;3;3

3;2;3;3;3

2;2;4;3;2

4.8

4.4

2.6

2.8

2.6

-0.547399

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wtrDLMFU9v

Learning Evolving Tools for Large Language Models

main

Active

Tool Learning;Monte Calro Tree Search;Large Language Models

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

3;3;5;5

3;5;3;3

2;3;2;2

2;2;3;2

2;2;2;2

4

3.5

2.25

2

-0.57735

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wvFnqVVUhN

Failures to Find Transferable Image Jailbreaks Between Vision-Language Models

main

Active

adversarial robustness;jailbreaks;vision-language model;multimodal;adversarial attack;image jailbreak;safety;trustworthy;robustness

alignment, fairness, safety, privacy, and societal considerations

3;5;8;8

4;5;4;4

2;3;4;3

6

4.25

3

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

ww3CLRhF1v

Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise

main

Active

Stochastic Differential Equations;Stochastic Optimization;Adaptive Methods

optimization

3;6;6;8

3;3;3;3

2;3;3;4

2;3;3;3

1;3;3;4

5.75

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":...

ww7JqIf494

Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches

main

Active

robotics;learn from demonstration;reinforcement learning

applications to robotics, autonomy, planning

3;3;3;6;8

4;4;3;4;4

1;3;2;2;3

1;1;2;3;3

3;3;2;3;4

4.6

3.8

2.2

2

3

0.388514

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wwO8qS9tQl

ALMANACS: A Simulatability Benchmark for Language Model Explainability

main

Active

explainability;interpretability;simulatability;explanations;evaluation;benchmark;natural language processing

datasets and benchmarks

3;3;3;3

4;4;4;4

3;3;2;1

2;2;1;2

3;2;2;3

3

4

2.25

1.75

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":...

wwVGZRnAYG

BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks

main

Active

Adversarial Defense;Blue-Teaming;Large Vision-Language Model

alignment, fairness, safety, privacy, and societal considerations

3;5;5;6

3;3;5;5

3;3;3;2

3;2;2;2

3;3;3;2

4.75

4

2.75

2.25

2.75

0.688247

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wwXgvjNmt5

MAC: A Multimodal Benchmark for Understanding and Generating Academic Journal Covers

main

Active

Benchmark;Multi-modality;Large Multimodal Models

datasets and benchmarks

3;3;5;5

4;4;3;3

3;2;2;3

2;2;2;2

3;2;3;3

4

3.5

2.5

2

2.75

-1

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wwbVYrOMIW

POC: Preventing the Over-Collapse of Classes for Class-Incremental Learning

main

Active

Class-Incremental Learning;Over-Collapse;Catastrophic Forgetting

transfer learning, meta learning, and lifelong learning

5;5;6

4;5;3

3;2;2

2;2;2

5.333333

4

2.333333

2

-0.866025

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wxEASOHHdT

Mamba-Reg: Vision Mamba Also Needs Registers

main

Withdraw

State Space Models;Mamba;Representation Learning

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

Feng Wang;Jiahao Wang;Sucheng Ren;Guoyizhe Wei;Jieru Mei;Wei Shao;Yuyin Zhou;Alan Yuille;Cihang Xie

~Feng_Wang14;~Jiahao_Wang5;~Sucheng_Ren1;~Guoyizhe_Wei1;~Jieru_Mei2;~Wei_Shao8;~Yuyin_Zhou1;~Alan_Yuille1;~Cihang_Xie3

3;3;5;5;6

5;4;4;5;3

3;2;3;3;3

1;1;2;3;2

3;3;3;3;3

4.4

4.2

2.8

1.8

3

-0.534522

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wxPnuFp8fZ

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement

main

Active

Diffusion based models;Self-supervised MRI denoising

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

5;5;6;8;10

4;4;2;3;4

3;2;3;3;4

2;3;3;3;4

2;2;3;3;3

6.8

3.4

3

2.6

0.051571

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wy9FRV8O5s

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning

main

Active

Zero-shot Learning;Generative Model;Diffusion Mechanism;Effective Learning

transfer learning, meta learning, and lifelong learning

5;6;8

5;5;4

3;3;4

3;3;3

2;2;3

6.333333

4.666667

3.333333

3

2.333333

-0.944911

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wyF5vNIsO7

Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires

main

Active

Immunomics;T-cell Receptor Embeddings;GloVe;Random Projection Theory;Scaling;Unsupervised Representation Learning

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

5;5;6;8

4;5;3;2

2;3;4;3

2;3;3;4

2;2;2;3

6

3.5

3

2.25

-0.912871

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x07rHuChwF

Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions

main

Active

Multimodal LLMs;Geometric Perception;Low-level Visual Perception

foundation or frontier models, including LLMs

3;5;6;6

3;3;4;4

2;3;3;2

2;3;2;3

1;3;3;3

5

3.5

2.5

0.816497

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x0h4H1WHXk

Image Restoration for Training Data Reconstructed from Trained Neural Networks

main

Active

image restoration;diffusion;privacy attacks;dataset reconstruction

alignment, fairness, safety, privacy, and societal considerations

1;3;3;5

5;4;5;2

2;1;1;3

2;2;1;2

2;1;3;2

3

4

1.75

2

-0.866025

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x1An5a3U9I

Advancing Graph Generation through Beta Diffusion

main

Active

Graph Machine Learning;Generative Models;Denoising Diffusion Probabilistic Models

generative models

5;5;5;6

4;3;2;5

3;3;3;3

4;2;2;3

3;3;2;4

5.25

3.5

3

2.75

3

0.774597

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x1Bk51SCL9

Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants

main

Active

face and human understanding;multi-modal assistants;benchmark

datasets and benchmarks

3;5;6;6

4;3;4;5

3;2;3;4

2;1;3;4

3;3;4;3

5

4

3

2.5

3.25

0.288675

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