Most Cited NEURIPS "instrumental variable learning" Papers

Quantum Visual Fields with Neural Amplitude Encoding

Shuteng Wang, Christian Theobalt, Vladislav Golyanik

Accelerating Optimization via Differentiable Stopping Time

Zhonglin Xie, Yiman Fong, Haoran Yuan et al.

The Parameterized Complexity of Computing the VC-Dimension

Florent Foucaud, Harmender Gahlawat, Fionn Mc Inerney et al.

Efficient Representativeness-Aware Coreset Selection

Zihao Cheng, Binrui Wu, Zhiwei Li et al.

Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping

Justin Lazarow, Kai Kang, Afshin Dehghan

Learning Task-Agnostic Representations through Multi-Teacher Distillation

Philippe Formont, Maxime Darrin, Banafsheh Karimian et al.

Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants

Gangda Deng, Hongkuan Zhou, Rajgopal Kannan et al.

MiniMax-Remover: Taming Bad Noise Helps Video Object Removal

Bojia Zi, Weixuan Peng, Xianbiao Qi et al.

Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models

Jaesin Ahn, Heechul Jung

What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains

Chanakya Ekbote, Ashok Vardhan Makkuva, Marco Bondaschi et al.

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Jingcheng Hu, Yinmin Zhang, Qi Han et al.

Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model

Haoxin Sun, Yubo Sun, Xiaotian Zhou et al.

3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image

Xiao Cao, Beibei Lin, Bo Wang et al.

NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation

Xiangyan Liu, Jinjie Ni, Zijian Wu et al.

From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards

Liad Erez, Tomer Koren

BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces

Matthew Landers, Taylor W. Killian, Hugo Barnes et al.

Uncertainty-Sensitive Privileged Learning

Fan-Ming Luo, Lei Yuan, Yang Yu

Program Synthesis via Test-Time Transduction

Kang-il Lee, Jahyun Koo, Seunghyun Yoon et al.

GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility

Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam et al.

DAA: Amplifying Unknown Discrepancy for Test-Time Discovery

Tianle Liu, Fan Lyu, Chenggong Ni et al.

ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs

Jiale Ma, Wenzheng Pan, Yang Li et al.

Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality

Junyan Liu, Ziyun Chen, Kun Wang et al.

Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph

Gautam Kamath, Alireza F. Pour, Matthew Regehr et al.

Multi-Agent Reinforcement Learning with Communication-Constrained Priors

Guang Yang, Jingwen Qiao, Tianpei Yang et al.

Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models

Zidi Xiong, Shan Chen, Zhenting Qi et al.

Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains

Colin Kohler, Purvik Patel, Nathan Vaska et al.

Risk-Averse Total-Reward Reinforcement Learning

Xihong Su, Jia Lin Hau, Gersi Doko et al.

Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation

Kai Zheng, Jianxin Wang, Jinhui Xu

Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods

Dennis Wei, Inkit Padhi, Soumya Ghosh et al.

Disentangling Latent Shifts of In-Context Learning with Weak Supervision

Josip Jukić, Jan Šnajder

PARROT: A Benchmark for Evaluating LLMs in Cross-System SQL Translation

Wei Zhou, Guoliang Li, Haoyu Wang et al.

Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing

Huanjia Zhu, Shuyuan Zheng, Yishu Liu et al.

Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies

Yibo Wen, Chenwei Xu, Jerry Yao-Chieh Hu et al.

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation

Xiaoyu Yue, ZiDong Wang, Yuqing Wang et al.

Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting

Yiren Lu, Yunlai Zhou, Yiran Qiao et al.

To Think or Not To Think: A Study of Thinking in Rule-Based Visual Reinforcement Fine-Tuning

Ming Li, Jike Zhong, Shitian Zhao et al.

LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language

Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires et al.

MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction

Zeyue Zhang, Heng Ping, Peiyu Zhang et al.

Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks

Wentao Deng, Jiahuan Pei, Zhiwei Xu et al.

Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation

Weining Ren, Hongjun Wang, Xiao Tan et al.

Block-Biased Mamba for Long-Range Sequence Processing

Annan Yu, N. Benjamin Erichson

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark

Junjie Xing, Yeye He, Mengyu Zhou et al.

CHASM: Unveiling Covert Advertisements on Chinese Social Media

Jingyi Zheng, Tianyi Hu, Yule Liu et al.

Quantifying Generalisation in Imitation Learning

Nathan Gavenski, Odinaldo Rodrigues

Bridging Human and LLM Judgments: Understanding and Narrowing the Gap

Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin et al.

A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction

Di Wen, Yu Wang, Zhigang Wu et al.

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Yuchen Zhou, Jiamin Wu, Zichen Ren et al.

NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods

Jonas Kulhanek, Torsten Sattler

Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition

Pei Peng, Ming-Kun Xie, Hang Hao et al.

BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks

Sen Bai, Chunqi Yang, Xin Bai et al.

SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training

Jintao Zhang, Jia wei, Haoxu Wang et al.

STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology

Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Peterson et al.

Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers

Johanna Vielhaben, Dilyara Bareeva, Jim Berend et al.

Streaming Stochastic Submodular Maximization with On-Demand User Requests

Honglian Wang, Sijing Tu, Lutz Oettershagen et al.

DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection

Changhan Liu, xunzhi xiang, Zixuan Duan et al.

Native-Resolution Image Synthesis

ZiDong Wang, LEI BAI, Xiangyu Yue et al.

Objective Soups: Multilingual Multi-Task Modeling for Speech Processing

A F M Saif, Lisha Chen, Xiaodong Cui et al.

GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation

Yi Dong, Yuxi Wang, Xianhui Lin et al.

NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection

Dennis Wagner, Fabian Hartung, Justus Arweiler et al.

Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control

Chengxiu HUA, Jiawen Gu, Yushun Tang

From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs

Xin Li, Xiaotao Zheng, Zhihong Xia

Learning Spatial-Aware Manipulation Ordering

Yuxiang Yan, Zhiyuan Zhou, Xin Gao et al.

Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design

Rubo Wang, Xingyu Gao, Peilin Zhao

SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism

Beitao Chen, Xinyu Lyu, shengming yuan et al.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching

Liang Yue, Yihong Tang, Kehai Chen et al.

EDBench: Large-Scale Electron Density Data for Molecular Modeling

Hongxin Xiang, Ke Li, Mingquan Liu et al.

Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization

Longshen Ou, Jingwei Zhao, Ziyu Wang et al.

Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning

Ezgi Korkmaz

Stackelberg Learning with Outcome-based Payment

Tom Yan, Chicheng Zhang

COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning

Jules Sintes, Ana Busic

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning

Remco Leijenaar, Hamidreza Kasaei

Alchemist: Turning Public Text-to-Image Data into Generative Gold

Valerii Startsev, Alexander Ustyuzhanin, Alexey Kirillov et al.

SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision

Yiyang Gu, Bohan Wu, Qinghua Ran et al.

A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models

YuQing Xie, Tess Smidt

OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models

Boyang Peng, Sanqing Qu, Tianpei Zou et al.

Projective Equivariant Networks via Second-order Fundamental Differential Invariants

Yikang Li, Yeqing Qiu, Yuxuan Chen et al.

Prior Forgetting and In-Context Overfitting

Sungyoon Lee

Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity

Qiyao Wei, Edward R Morrell, Lea Goetz et al.

Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models

Thanh-Dat Truong, Huu-Thien Tran, Tran Son et al.

Multi-View Oriented GPLVM: Expressiveness and Efficiency

Zi Yang, Ying Li, Zhidi Lin et al.

DGCBench: A Deep Graph Clustering Benchmark

Benyu Wu, Yue Liu, Qiaoyu Tan et al.

Fairness-aware Anomaly Detection via Fair Projection

Feng Xiao, Xiaoying Tang, Jicong Fan

Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation

Wen-Bo Du, Tian Qin, Tian-Zuo Wang et al.

Rare Text Semantics Were Always There in Your Diffusion Transformer

seil kang, Woojung Han, Dayun Ju et al.

Ultra-high Resolution Watermarking Framework Resistant to Extreme Cropping and Scaling

Nan Sun, LuYu Yuan, Han Fang et al.

Multi-head Temporal Latent Attention

Keqi Deng, Phil Woodland

Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models

Jun Ling, Yao Qi, Tao Huang et al.

IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering

Hengyu Liu, Chenxin Li, Zhengxin Li et al.

TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models

Hsin Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng et al.

MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning

Seong-Hyeon Hwang, Soyoung Choi, Steven Whang

UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring

Yide Qiu, Tong Zhang, Shaoxiang Ling et al.

Event-Driven Dynamic Scene Depth Completion

Zhiqiang Yan, Jianhao Jiao, Zhengxue Wang et al.

User-Instructed Disparity-aware Defocus Control

Yudong Han, Yan Yang, Hao Yang et al.

LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting

Yi Xiao, Hang Fan, Kun Chen et al.

Each Complexity Deserves a Pruning Policy

Hanshi Wang, Yuhao Xu, Zekun Xu et al.

FuncGenFoil: Airfoil Generation and Editing Model in Function Space

Jinouwen Zhang, Junjie Ren, Ma Qianhong et al.

CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming

Han Deng, Yuan Meng, SHIXIANG TANG et al.

Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization

Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard et al.

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing

Qingzhu Zhang, Jiani Zhong, Zongsheng Li et al.

Reasoning Models Sometimes Output Illegible Chains of Thought

Arun Jose

Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training

Xiaochen Zhao, Chengting Yu, Kairong Yu et al.

Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models

Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra

Tight analyses of first-order methods with error feedback

Daniel Berg Thomsen, Adrien Taylor, Aymeric Dieuleveut

The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective

Thai-Hoang Pham, Jiayuan Chen, Seungyeon Lee et al.

DictPFL: Efficient and Private Federated Learning on Encrypted Gradients

Jiaqi Xue, Mayank Kumar, Yuzhang Shang et al.

EVAAA: A Virtual Environment Platform for Essential Variables in Autonomous and Adaptive Agents

Sungwoo Lee, Jungmin Lee, Sohee Kim et al.

Finite-Time Bounds for Average-Reward Fitted Q-Iteration

Jongmin Lee, Ernest Ryu

NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes

Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang et al.

Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation

Qihe Huang, Zhengyang Zhou, Yangze Li et al.

Learning Theory for Kernel Bilevel Optimization

Fares El Khoury, Edouard Pauwels, Samuel Vaiter et al.

Improved Algorithms for Fair Matroid Submodular Maximization

Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing

Shreelekha Revankar, Utkarsh Mall, Cheng Perng Phoo et al.

Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety

Siyuan Xu, Minghui Zhu

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?

Paul Gölz, Nika Haghtalab, Kunhe Yang

OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations

KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration

Dengwei Zhao, Shikui Tu, Yanan Sun et al.

Simple and Optimal Sublinear Algorithms for Mean Estimation

Beatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn et al.

BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes

Lishen Qu, Zhihao Liu, Shihao Zhou et al.

Massive Sound Embedding Benchmark (MSEB)

Georg Heigold, Ehsan Variani, Tom Bagby et al.

Variational Polya Tree

Lu Xu, Tsai Hor Chan, Lequan Yu et al.

Non-rectangular Robust MDPs with Normed Uncertainty Sets

Navdeep Kumar, Adarsh Gupta, Maxence Mohamed ELFATIHI et al.

Dynamic Shadow Unveils Invisible Semantics for Video Outpainting

Ruilin Li, Hang Yu, Jiayan Qiu

FedEL: Federated Elastic Learning for Heterogeneous Devices

Letian Zhang, Bo Chen, Jieming Bian et al.

Beyond Benign Overfitting in Nadaraya-Watson Interpolators

Daniel Barzilai, Guy Kornowski, Ohad Shamir

BioCG: Constrained Generative Modeling for Biochemical Interaction Prediction

Amitay Sicherman, Kira Radinsky

DBLoss: Decomposition-based Loss Function for Time Series Forecasting

Xiangfei Qiu, Xingjian Wu, Hanyin Cheng et al.

CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing

Anirudh Bindiganavale Harish, Peikun Guo, Bhargav Ghanekar et al.

Correcting misinterpretations of additive models

Benedict Clark, Rick Wilming, Hjalmar Schulz et al.

Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control

Ming Cheng, Hao Chen, Zhiqing Li et al.

Flexible inference for animal learning rules using neural networks

Yuhan Helena Liu, Victor Geadah, Jonathan Pillow

Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion

Senyu Hou, Yuru Ren, Gaoxia Jiang et al.

AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents

Arman Zharmagambetov, Chuan Guo, Ivan Evtimov et al.

Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random

Chunyuan Zheng, Haocheng Yang, Haoxuan Li et al.

MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention

Can Yaras, Alec Xu, Pierre Abillama et al.

FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models

Xuan Liu, Siru Ouyang, Xianrui Zhong et al.

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research

A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen et al.

DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting

Moonsoo Jeong, Dongbeen Kim, Minseong Kim et al.

Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification

Zhongao Zhou, Bin Yang, Wenke Huang et al.

IRRISIGHT: A Large-Scale Multimodal Dataset and Scalable Pipeline to Address Irrigation and Water Management in Agriculture

Nibir Chandra Mandal, Oishee Bintey Hoque, Mandy Wilson et al.

Eluder dimension: localise it!

Alireza Bakhtiari, Alex Ayoub, Samuel Robertson et al.

Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting

Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning

Junhao Shen, Haiteng Zhao, Yuzhe Gu et al.

MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform

Yuan Chiang, Tobias Kreiman, Christine Zhang et al.

Subgraph Federated Learning via Spectral Methods

Javad Aliakbari, Johan Oestman, Ashkan Panahi et al.

Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models

Yuanxi Yu, Fan Jiang, Xinzhu Ma et al.

PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis

Yan Wu, Esther Wershof, Sebastian Schmon et al.

Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention

Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu et al.

Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding

Seong Hyeon Park, Jinwoo Shin

Faster Video Diffusion with Trainable Sparse Attention

Peiyuan Zhang, Yongqi Chen, Haofeng Huang et al.

PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation

Chong Tang, Joseph Powell, Dirk Koch et al.

Improving Deep Learning for Accelerated MRI With Data Filtering

Kang Lin, Anselm Krainovic, Kun Wang et al.

PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space

Jinghong Zheng, Changlong Jiang, Yang Xiao et al.

Online Strategic Classification With Noise and Partial Feedback

Tianrun Zhao, Xiaojie Mao, Yong Liang

Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers

Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki et al.

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness

Yijun Liang, Ming Li, Chenrui Fan et al.

LLM Interpretability with Identifiable Temporal-Instantaneous Representation

Xiangchen Song, Jiaqi Sun, Zijian Li et al.

Attention on the Sphere

Boris Bonev, Max Rietmann, Andrea Paris et al.

Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding

Haoran Zhou, Gim Hee Lee

Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video

Aditi Tiwari, Farzaneh Masoud, Dac Nguyen et al.

Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning

Sid Bharthulwar, Stone Tao, Hao Su

SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval

Jiahang Zhang, Lilang Lin, Shuai Yang et al.

Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation

Tien Nguyen, Dac Nguyen, Duc Nguyen The Minh et al.

Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models

Jie Zhao, Kang Cheong

Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning

Marlon Tobaben, Hibiki Ito, Joonas Jälkö et al.

Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs

Mohammad Shahab Sepehri, Berk Tinaz, Zalan Fabian et al.

Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer

Xuelin Shen, Quan Liu, Jiayin Xu et al.

Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations

Da Ma, Gonghu Shang, Zhi Chen et al.

CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems

Zhihao Wang, Lei Ma, George Hurtt et al.

Ridge Boosting is Both Robust and Efficient

David Bruns-Smith, Zhongming Xie, Avi Feller

Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation

Changguang WU, Jiangxin Dong, Chengjian Li et al.

Training Robust Graph Neural Networks by Modeling Noise Dependencies

Yeonjun In, Kanghoon Yoon, Sukwon Yun et al.

The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity

Ethan Hsu, Tony Cao, Lesia Semenova et al.

Entropy-Calibrated Label Distribution Learning

Yunan Lu, Bowen Xue, Xiuyi Jia et al.

When and how can inexact generative models still sample from the data manifold?

Nisha Chandramoorthy, Adriaan de Clercq

Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis

Jing Hao, Yuxuan Fan, Yanpeng Sun et al.

Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks

Yi Xiao, Qiangqiang Yuan, Kui Jiang et al.

SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens

Yinhan He, Wendy Zheng, Yaochen Zhu et al.

An Investigation of Memorization Risk in Healthcare Foundation Models

Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour et al.

Stochastically Dominant Peer Prediction

Yichi Zhang, Shengwei Xu, Grant Schoenebeck et al.

ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization

Bo Du, Xuekang Zhu, Xiaochen Ma et al.

Distributional Training Data Attribution: What do Influence Functions Sample?

Bruno Mlodozeniec, Isaac Reid, Sam Power et al.

Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning

Zihao Jing, Yan Sun, Yan Yi Li et al.

Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity

Yuhan Zhang, Long Zhuo, Ziyang Chu et al.

Planning with Quantized Opponent Models

XiaoPeng Yu, Kefan Su, Zongqing Lu

MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations

Vardhan Dongre, Chi Gui, Shubham Garg et al.

Angular Constraint Embedding via SpherePair Loss for Constrained Clustering

Shaojie Zhang, Ke Chen

CoreaSpeech: Korean Speech Corpus via JAMO-based Coreset Selection for Efficient and Robust Korean Speech Generation

Ki-Joong Kwon, Junho So, Sang-Hoon Lee

Learning “Partner-Aware” Collaborators in Multi-Party Collaboration

Abhijnan Nath, Nikhil Krishnaswamy

Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning

Baiyuan Chen, Shinji Ito, Masaaki Imaizumi

Learning-Augmented Online Bidding in Stochastic Settings

Spyros Angelopoulos, Bertrand Simon

Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions

Aobo Li, Jinjian Wu, Yongxu Liu et al.

MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation

Wei Shen, Weiqi Liu, Mingde Chen et al.

RGB-to-Polarization Estimation: A New Task and Benchmark Study

Beibei Lin, Zifeng Yuan, Tingting Chen

CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design

Ziyi Yang, Hanyuan Xie, Yinjun Jia et al.

Robust Sampling for Active Statistical Inference

Puheng Li, Tijana Zrnic, Emmanuel Candes

3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation

Yangshi Ge, Yiwei Bao, Feng Lu

Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems

Marcos Negre Saura, Richard Allmendinger, Wei Pan et al.

Improving Decision Trees through the Lens of Parameterized Local Search

Juha Harviainen, Frank Sommer, Manuel Sorge

Precise Asymptotics and Refined Regret of Variance-Aware UCB

Yingying Fan, Yuxuan Han, Jinchi Lv et al.

Fairness-Regularized Online Optimization with Switching Costs

Pengfei Li, Yuelin Han, Adam Wierman et al.