Most Cited NEURIPS "feature sharing" Papers

Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval

Haifan Gong, Xuanye Zhang, Ruifei Zhang et al.

Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios

David A. R. Robin, Killian Bakong, Kevin Scaman

Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning

Wenyi Xiao, Leilei Gan

Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs

Fangrui Zhu, Hanhui Wang, Yiming Xie et al.

HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling

Ningyi Liao, Zihao Yu, Siqiang Luo et al.

Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design

Nianzu Yang, Songlin Jiang, Jian Ma et al.

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction

Tim van Erven, Jack Mayo, Julia Olkhovskaya et al.

Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models

Jiajun Fan, Tong Wei, Chaoran Cheng et al.

Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes

WEI-KAI CHANG, Rajiv Khanna

Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT

Jiaheng Zhou, Wei Fang, Luyuan Xie et al.

Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents

Qianlan Yang, XJ Wang, Danielle Perszyk et al.

Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations

David Burt, Renato Berlinghieri, Stephen Bates et al.

Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap

Shixiang Liu

The Curse of Depth in Large Language Models

Wenfang Sun, Xinyuan Song, Pengxiang Li et al.

TopER: Topological Embeddings in Graph Representation Learning

Astrit Tola, Funmilola Mary Taiwo, Cuneyt Akcora et al.

Towards Self-Refinement of Vision-Language Models with Triangular Consistency

Yunlong Deng, Guangyi Chen, Tianpei Gu et al.

Jacobian-Based Interpretation of Nonlinear Neural Encoding Model

Xiaohui Gao, Haoran Yang, cheng yue et al.

Learning Dynamics of RNNs in Closed-Loop Environments

Yoav Ger, Omri Barak

On the Role of Hidden States of Modern Hopfield Network in Transformer

Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models

Wei Chen, Xin Yan, Bin Wen et al.

Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting

Haoyu Zhang, Yinan Zhang, Chaolong Ying et al.

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

Qirui Mi, Mengyue Yang, Xiangning Yu et al.

NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling

Hao Zheng, Shiyu Liang, Yuting Zheng et al.

3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding

Chang Wu, ZHIYUAN LIU, Wen Shu et al.

Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation

Zhenghao Zeng, David Arbour, Avi Feller et al.

UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning

Nan Song, Junzhe Jiang, jingyu li et al.

Efficient Rectified Flow for Image Fusion

Zirui Wang, Jiayi Zhang, Tianwei Guan et al.

KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products

Zixuan XIa, Aram Davtyan, Paolo Favaro

ECO: Evolving Core Knowledge for Efficient Transfer

Fu Feng, Yucheng Xie, Ruixiao Shi et al.

Lyapunov-Stable Adaptive Control for Multimodal Concept Drift

Tianyu Pan, Mengdi Zhu, Alexa Cole et al.

LILO: Learning to Reason at the Frontier of Learnability

Thomas Foster, Anya Sims, Johannes Forkel et al.

ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge

Cuong Dao, The Hung Tran, Phi Le Nguyen et al.

Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection

Chenyu Zhu, Yefeng Liu, Hao Zhang et al.

Seg-VAR:Image Segmentation with Visual Autoregressive Modeling

Rongkun Zheng, Lu Qi, Xi Chen et al.

Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs

Xingang Guo, Yaxin Li, XiangYi Kong et al.

StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations

Yanjie Li, Wenxuan Zhang, Xinqi Lyu et al.

SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization

Junpyo Seo, HanbinKoo, jieun yook et al.

CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing

Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn et al.

Reconstruction and Secrecy under Approximate Distance Queries

Shay Moran, Elizaveta Nesterova

Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm

Konstantin Makarychev, Ilias Papanikolaou, Liren Shan

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning

Yaxin Hou, Bo Han, Yuheng Jia et al.

One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding

Zheyu Zhang, Ziqi Pang, Shixing Chen et al.

Implicit Modeling for Transferability Estimation of Vision Foundation Models

Yaoyan Zheng, Huiqun Wang, Nan Zhou et al.

Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins

ZAIXI ZHANG, Ruofan Jin, Le Cong et al.

State Size Independent Statistical Error Bound for Discrete Diffusion Models

Shintaro Wakasugi, Taiji Suzuki

Differentiable Constraint-Based Causal Discovery

Jincheng Zhou, Mengbo Wang, Anqi He et al.

Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints

Ling Zhan, Junjie Huang, Xiaoyao Yu et al.

WaLRUS: Wavelets for Long range Representation Using State Space Methods

Hossein Babaei, Mel White, Sina Alemohammad et al.

Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment

Chu Xu, Zhixin Zhang, Tianyu Jia et al.

Alias-Free ViT: Fractional Shift Invariance via Linear Attention

Hagay Michaeli, Daniel Soudry

Test-Time Scaling of Diffusion Models via Noise Trajectory Search

Vignav Ramesh, Morteza Mardani

Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning

Lifan Zhao, Yanyan Shen, Zhaoyang Liu et al.

Robust Graph Condensation via Classification Complexity Mitigation

Jiayi Luo, Qingyun Sun, Beining Yang et al.

Generalizable Insights for Graph Transformers in Theory and Practice

Timo Stoll, Luis Müller, Christopher Morris

MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling

Yuxi Liu, Renjia Deng, Yutong He et al.

EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale

Yiheng Du, Aditi Krishnapriyan

A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks

Mucong Ding, Bang An, Tahseen Rabbani et al.

GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms

Noah Krever, Jakub Cerny, Moise Blanchard et al.

3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction

Maria Taktasheva, Lily Goli, Alessandro Fiorini et al.

Statistical Parity with Exponential Weights

Stephen Pasteris, Chris Hicks, Vasilios Mavroudis

Riemannian Consistency Model

Chaoran Cheng, Yusong Wang, Yuxin Chen et al.

Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity

Hugo Ninou, Jonathan Kadmon, N Alex Cayco Gajic

ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality

Mingzhi Zhu, Ding Shang, Sai Qian Zhang

Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning

Tien Manh Luong, Khai Nguyen, Dinh Phung et al.

An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise

Johanna Düngler, Amartya Sanyal

On Optimal Steering to Achieve Exact Fairness

mohit sharma, Amit Deshpande, Chiranjib Bhattacharyya et al.

SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding

Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.

GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation

LINHAO LUO, Zicheng Zhao, Reza Haffari et al.

NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models

Jarren Zhuoran Qiao, Feizhi Ding, Thomas Dresselhaus et al.

Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering

Clément Yvernes, Emilie Devijver, Adèle Ribeiro et al.

Temporal-Difference Variational Continual Learning

Luckeciano Carvalho Melo, Alessandro Abate, Yarin Gal

SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation

Yueyang Hu, Haiyong Jiang, Haoxuan Song et al.

Differentiable Cyclic Causal Discovery Under Unmeasured Confounders

Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri

Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference

Zichen Wang, Haoyang Hong, Chuanhao Li et al.

STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model

Yuang Qi, Na Zhao, Qiyi Yao et al.

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning

Xi Chen, Mingkang Zhu, Shaoteng Liu et al.

EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation

Dongyang Zeng, Yaping Liu, Wei Zhang et al.

TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup

Fanxu Meng, Pingzhi Tang, Zengwei Yao et al.

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Zinan Lin, Enshu Liu, Xuefei Ning et al.

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size

Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto et al.

PUATE: Efficient ATE Estimation from Treated (Positive) and Unlabeled Units

Masahiro Kato, Fumiaki Kozai, RYO INOKUCHI

TESTING STATIONARITY AND CHANGE POINT DETECTION IN REINFORCEMENT LEARNING

Mengbing Li, Chengchun Shi, Zhenke Wu et al.

Parameterized Synthetic Text Generation with SimpleStories

Lennart Finke, Chandan Sreedhara, Thomas Dooms et al.

Decomposing motor units through elimination for real-time intention driven assistive neurotechnology

Nicholas Tacca, Bryan Schlink, Jackson Levine et al.

3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion

Junyi Wang, Yuze Wang, Wantong Duan et al.

CPO: Condition Preference Optimization for Controllable Image Generation

Zonglin Lyu, Ming Li, Xinxin Liu et al.

Learning Simple Interpolants for Linear Integer Arithmetic

Minchao Wu, Naoki Kobayashi

Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion

Lei Cao, Hao Zhang, Chunyu Li et al.

Heterogeneous Diffusion Structure Inference for Network Cascade

Siyu Huang, Abdul Basit Adeel, Yubai Yuan

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation

Bowen Song, Zecheng Zhang, Zhaoxu Luo et al.

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning

Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.

Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services

Gefei Tan, Ali Shahin Shamsabadi, Ellen Kolesnikova et al.

Reverse Engineering Human Preferences with Reinforcement Learning

Lisa Alazraki, Yi-Chern Tan, Jon Ander Campos et al.

TF-MAS: Training-free Mamba2 Architecture Search

Yi Fan, Yu-Bin Yang

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Frank (Fangzheng) Xu, Yufan Song, Boxuan Li et al.

CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention

Xiaomeng Hu, Fei Huang, Chenhan Yuan et al.

Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization

Ming Nie, Chunwei Wang, Jianhua Han et al.

Learning Interactive World Model for Object-Centric Reinforcement Learning

Fan Feng, Phillip Lippe, Sara Magliacane

BADiff: Bandwidth Adaptive Diffusion Model

Xi Zhang, Hanwei Zhu, Yan Zhong et al.

Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective

Wei Feng, Zongyuan Ge

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge

Wenyao Zhang, Hongsi Liu, Zekun Qi et al.

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Shivam Agarwal, Zimin Zhang, Lifan Yuan et al.

Looking Into the Water by Unsupervised Learning of the Surface Shape

Ori Lifschitz, Tali Treibitz, Dan Rosenbaum

Distribution Learning Meets Graph Structure Sampling

Arnab Bhattacharyya, Sutanu Gayen, Philips George John et al.

Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems

Saeed Amizadeh, Sara Abdali, Yinheng Li et al.

Semi-supervised Graph Anomaly Detection via Robust Homophily Learning

GUOGUO AI, Hezhe Qiao, Hui Yan et al.

Reward-oriented Causal Representation Learning

Zirui Yan, Emre Acartürk, Ali Tajer

Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More

Jinwoo Lim, Suhyun Kim, Soo-Mook Moon

3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes

Sean Lamont, Christian Walder, Amir Dezfouli et al.

Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling

Jinhee Kim, Jae Jun An, Kang Eun Jeon et al.

OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning

Alexandre Oliveira, Katarina Dyreby, Francisco Caldas et al.

MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans

Huiyi Wang, Chun Kwang Tan, Balint Hodossy et al.

Neural Attention Search

Difan Deng, Marius Lindauer

When Does Curriculum Learning Help? A Theoretical Perspective

Raman Arora, Yunjuan Wang, Kaibo Zhang

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

Sheng Wang, Pengan CHEN, Jingqi Zhou et al.

The Indra Representation Hypothesis

Jianglin Lu, Hailing Wang, Kuo Yang et al.

Improved Confidence Regions and Optimal Algorithms for Online and Offline Linear MNL Bandits

Yuxuan Han, Jose Blanchet, Zhengyuan Zhou

Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling

Inguk Choi, Woo-Jin Shin, Sang-Hyun Cho et al.

Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models

Yi Liu, Dianqing Liu, Mingye Zhu et al.

The Hawthorne Effect in Reasoning Models: Evaluating and Steering Test Awareness

Sahar Abdelnabi, Ahmed Salem

R$^2$ec: Towards Large Recommender Models with Reasoning

Runyang You, Yongqi Li, Xinyu Lin et al.

Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance

Ya-Wei Eileen Lin, Ronald Coifman, Gal Mishne et al.

Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining

Weiyi Wang, Junwei Deng, Yuzheng Hu et al.

CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation

Kavana Venkatesh, Connor Dunlop, Pinar Yanardag

Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models

Lexiang Xiong, Liu Chengyu, Jingwen Ye et al.

Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images

Jiao Tang, WEI SHAO, Daoqiang Zhang

HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning

Chuhao Zhou, Jianfei Yang

Strategic Costs of Perceived Bias in Fair Selection

L. Elisa Celis, Lingxiao Huang, Milind Sohoni et al.

Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework

Yujie Xing, Xiao Wang, Bin Wu et al.

TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning

Xudong Yan, Songhe Feng

Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits

Shaoang Li, Jian Li

Image Token Matters: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing

Weixing Wang, Zifeng Ding, Jindong Gu et al.

Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning

Chaoyang Li, Runze Ye, Jianyang Qin et al.

Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models

Yue Wang, Qiuzhi Liu, Jiahao Xu et al.

FLAME: Fast Long-context Adaptive Memory for Event-based Vision

Biswadeep Chakraborty, Saibal Mukhopadhyay

PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning

Mingqi Wu, Qiang Sun, Archer Yang

Mamba Modulation: On the Length Generalization of Mamba Models

Peng Lu, Jerry Huang, QIUHAO Zeng et al.

Is Your Diffusion Model Actually Denoising?

Daniel Pfrommer, Zehao Dou, Christopher Scarvelis et al.

Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model

Yicong Chen, Jiahua Rao, Jiancong Xie et al.

Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO

Kaiyang Guo, Yinchuan Li, Zhitang Chen

InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection

Jinguo Luo, Weihong Ren, Quanlong Zheng et al.

Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution

Sihan Wang, Wenjie Du, Qing Zhu et al.

Are Language Models Efficient Reasoners? A Perspective from Logic Programming

Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami et al.

UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting

Kai He, Ruofan Liang, Jacob Munkberg et al.

Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers

Nima Hosseini Dashtbayaz, Hesam Salehipour, Adrian Butscher et al.

MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification

Viet-Hung Tran, Ngoc Phu Doan, Zichi Zhang et al.

ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals

Jonas Elsborg, Luca Thiede, Alan Aspuru-Guzik et al.

The Rich and the Simple: On the Implicit Bias of Adam and SGD

Bhavya Vasudeva, Jung Lee, Vatsal Sharan et al.

Quartet: Native FP4 Training Can Be Optimal for Large Language Models

Roberto Castro, Andrei Panferov, Rush Tabesh et al.

On Evaluating LLM Alignment by Evaluating LLMs as Judges

Yixin Liu, Pengfei Liu, Arman Cohan

How many measurements are enough? Bayesian recovery in inverse problems with general distributions

Ben Adcock, Zi Yuan (Nick) Huang

Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness

Yanyu Ren, Li Chen, Dan Li et al.

Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization

jingfeng Guo, Jian Liu, Jinnan Chen et al.

Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction

Yisen Gao, Xingcheng Fu, Qingyun Sun et al.

LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process

Huiyang Shao, Xin Xia, Yuxi Ren et al.

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset

Zhiheng Xi, Guanyu Li, Yutao Fan et al.

Once Upon an Input: Reasoning via Per-Instance Program Synthesis

Adam Stein, Neelay Velingker, Mayur Naik et al.

Flexible Realignment of Language Models

Wenhong Zhu, Ruobing Xie, Weinan Zhang et al.

Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution

Bozhou Zhang, Nan Song, jingyu li et al.

Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model

Ruiping Liu, Junwei Zheng, Yufan Chen et al.

DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images

Ozgur Kara, Harris Nisar, James Rehg

Strategic Classification with Non-Linear Classifiers

Benyamin Trachtenberg, Nir Rosenfeld

Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision

Chenshuang Zhang, Kang Zhang, Joon Son Chung et al.

On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection

Weiqing He, Xiang Li, Tianqi Shang et al.

Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization

Jinyong Jeong, Hyungu Kahng, Seoung Bum Kim

Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data

Tian Gao, Songtao Lu, Junkyu Lee et al.

Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples

Suqin Yuan, Lei Feng, Bo Han et al.

An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination

Sukanya Patra, Souhaib Ben Taieb

DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning

Wenxuan Shi, Haochen Tan, Chuqiao Kuang et al.

RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains

Sepehr Mousavi, Shizheng Wen, Levi Lingsch et al.

Prompt Tuning Transformers for Data Memorization

Haiyu Wang, Yuanyuan Lin

Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis

Enze Shi, Pankaj Bhagwat, Zhixian Yang et al.

HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild

Valentin Bieri, Marie-Julie Rakotosaona, Keisuke Tateno et al.

AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition

Parsa Rahimi, Damien Teney, Sébastien Marcel

A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning

Daniel Tschernutter, David Diego Castro, Maciej Kasiński

Learning-Augmented Facility Location Mechanisms for the Envy Ratio Objective

Haris Aziz, Yuhang Guo, Alexander Lam et al.

Unified Algorithms for RL with Decision-Estimation Coefficients: PAC, Reward-Free, Preference-Based Learning, and Beyond

Fan Chen, Song Mei, Yu Bai

VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information

Zecheng Wang, Chunshan Li, Yupeng Zhang et al.

Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy

Sreevardhan Sirigiri, Christian Hughes, Ian Abraham et al.

PROFIT: A Specialized Optimizer for Deep Fine Tuning

Anirudh Chakravarthy, Shuai Zheng, Xin Huang et al.

DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks

Canyu Zhao, Yanlong Sun, Mingyu Liu et al.

Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor

Maryam Aliakbarpour, Zhan Shi, Ria Stevens et al.

Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits

Areeb Ahmad, Abhinav Joshi, Ashutosh Modi

PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications

Zilin Shen, Xinyu Luo, Imtiaz Karim et al.

CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning

ao zhou, Jiayi Guan, Li Shen et al.

MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling

Liang Yin, Xudong Xie, Zhang Li et al.

Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression

Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu et al.

Generating and Checking DNN Verification Proofs

Hai Duong, ThanhVu Nguyen, Matthew Dwyer

Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction

Wenbo Shang, Zihan Feng, Yang Yajun et al.

Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning

Navita Goyal, Hal Daumé III, Alexandre Drouin et al.

Masked Diffusion Models as Energy Minimization

Sitong Chen, Shen Nie, Jiacheng Sun et al.

Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs

Mianchu Wang, Giovanni Montana

UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains

Duo Wang, Yuan Zuo, Guangyue Lu et al.

Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training

Ipsita Ghosh, Ethan Nguyen, Christian Kümmerle

Reasoning Is Not a Race: When Stopping Early Beats Going Deeper

Mohan Zhang, Jiaxuan Gao, Shusheng Xu et al.

Cost-Aware Contrastive Routing for LLMs

Reza Shirkavand, Shangqian Gao, Peiran Yu et al.

Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency

Renzhao Liang, Sizhe Xu, Chenggang Xie et al.

RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning

Kaiwen Zha, Zhengqi Gao, Maohao Shen et al.

Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams

Donghao Sun, Xi Wang, Xu Yang et al.

EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models

Andy Bonnetto, Haozhe Qi, Franklin Leong et al.