Most Cited NEURIPS "arbitrary domain shapes" Papers

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

ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space

Chuanchao Zang, Xiangtao Meng, Wenyu Chen et al.

FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation

Yutong Feng, Xu Liu, Yutong Xia et al.

Massive Sound Embedding Benchmark (MSEB)

Georg Heigold, Ehsan Variani, Tom Bagby et al.

Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis

Zeqin Yu, Haotao Xie, Jian Zhang et al.

Compress Large Language Models via Collaboration Between Learning and Matrix Approximation

Yuesen Liao, Zhiwei Li, Binrui Wu et al.

Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis

Tony Yousefnezhad

CaMiT: A Time-Aware Car Model Dataset for Classification and Generation

Frédéric Lin, Biruk Abere Ambaw, Adrian Popescu et al.

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

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

CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research

Owen Queen, Harrison Zhang, James Zou

OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis

Run Luo, Ting-En Lin, Haonan Zhang et al.

Self-Assembling Graph Perceptrons

Jialong Chen, Tong Wang, Bowen Deng et al.

Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks

Yizhou Jiang, Feng Chen, Yihan Li et al.

PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation

Kunyu Wang, Xueyang Fu, Yuanfei Bao et al.

IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer

Zi Yang, Lei Qiu, FANG LYU et al.

Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer

Qiannan Zhang, Manqi Zhou, Zilong Bai et al.

Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning

Hisham Temmar, Yixuan Wang, Nina Gill 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.

Gaze Beyond the Frame: Forecasting Egocentric 3D Visual Span

Heeseung Yun, Joonil Na, Jaeyeon Kim et al.

MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection

shengtian yang, Yue Feng, Yingshi Liu et al.

Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents

Vijay Veerabadran, Fanyi Xiao, Nitin Kamra et al.

Improving Deep Learning for Accelerated MRI With Data Filtering

Kang Lin, Anselm Krainovic, Kun Wang et al.

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

Aditi Tiwari, Farzaneh Masoud, Dac Nguyen et al.

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection

Jigang Fan, Quanlin Wu, Shengjie Luo et al.

Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms

William Réveillard, Richard Combes

GenIR: Generative Visual Feedback for Mental Image Retrieval

Diji Yang, Minghao Liu, Chung-Hsiang Lo et al.

UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems

Dian Meng, Zhiguang Cao, Jie Gao et al.

Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths

Jindi Lv, Yuhao Zhou, Mingjia Shi et al.

A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits

Guo Zeng, Jean Honorio

Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes

Guangting Yu, Shiwei Lan

Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition

Sina Malakouti, Adriana Kovashka

Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity

Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon et al.

Policy Compatible Skill Incremental Learning via Lazy Learning Interface

Daehee Lee, Dongsu Lee, TaeYoon Kwack et al.

Asymptotic theory of SGD with a general learning-rate

Or Goldreich, Ziyang Wei, SOHAM BONNERJEE et al.

Attention with Trained Embeddings Provably Selects Important Tokens

Diyuan Wu, Aleksandr Shevchenko, Samet Oymak et al.

Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks

Ashley Kurian, Aydin Aysu

Multimodal Causal Reasoning for UAV Object Detection

Nianxin Li, Mao Ye, Lihua Zhou et al.

Differentiable Hierarchical Visual Tokenization

Marius Aasan, Martine Hjelkrem Tan, Nico Catalano et al.

Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding

Yanglin Feng, Hongyuan Zhu, Dezhong Peng et al.

Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity

Pengqi Li, Lizhong Ding, Jiarun Fu et al.

Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks

Sara Cammarota, Matteo Ferrante, Nicola Toschi

More effort is needed to protect pedestrian privacy in the era of AI

Xingchen Zhang, Zixian Zhao

Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations

Jiabin Lin, Shana Moothedath

AlphaBeta is not as good as you think: a simple random games model for a better analysis of deterministic game-solving algorithms

Raphael Boige, Amine Boumaza, Bruno Scherrer

Activity Pruning for Efficient Spiking Neural Networks

Tong Bu, Xinyu Shi, Zhaofei Yu

Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis

Mohammad Saleh Refahi, Mahdi Abavisani, Bahrad Sokhansanj et al.

Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose Estimation

Xinyi Zhang, Bingyang Wei, Ruixuan Yu et al.

LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering

Qianqian Wang, Qianqian Wang

Smooth Regularization for Efficient Video Recognition

Gil Goldman, Raja Giryes, Mahadev Satyanarayanan

Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs

Mehran Shakerinava, Siamak Ravanbakhsh, Adam Oberman

Text to Sketch Generation with Multi-Styles

Tengjie Li, Shikui Tu, Lei Xu

On Group Sufficiency Under Label Bias

Haoran Zhang, Olawale Salaudeen, Marzyeh Ghassemi

DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization

Jiacai Liu, Chaojie Wang, Chris Liu et al.

HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios

Kunyu Peng, Junchao Huang, Xiangsheng Huang et al.

Fisher meets Feynman: score-based variational inference with a product of experts

Diana Cai, Robert Gower, David Blei et al.

DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction

Yuxiang Li, Yang Zhang, Li et al.

A Pre-training Framework for Relational Data with Information-theoretic Principles

Quang Truong, Zhikai Chen, Mingxuan Ju et al.

QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation

Jincheol Yang, Jaemin Choi, Matti Zinke et al.

Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation

Zhen Zhang, Prof Javen Qinfeng Shi, Wee Sun Lee

Novel Exploration via Orthogonality

Andreas Theophilou, Özgür Şimşek

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.

GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs

Amir Ghazizadeh, Rickard Ewetz, Hao Zheng

Path-Enhanced Contrastive Learning for Recommendation

Haoran Sun, Fei Xiong, Yuanzhe Hu et al.

Synthetic Series-Symbol Data Generation for Time Series Foundation Models

Wenxuan Wang, Kai Wu, yujian li et al.

EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution

Zhebei Shen, Qifan Yu, Juncheng Li et al.

Vector Database Watermarking

Zhiwen Ren, Wei Fan, Qiyi Yao et al.

The Future Unmarked: Watermark Removal in AI-Generated Images via Next-Frame Prediction

Huming Qiu, Zhaoxiang Wang, Mi Zhang et al.

DeepHalo: A Neural Choice Model with Controllable Context Effects

Shuhan Zhang, Zhi Wang, Rui Gao et al.

Non-Convex Tensor Recovery from Tube-Wise Sensing

Tongle Wu, Ying Sun

VividFace: A Robost and High-Fidelity Video Face Swapping Framework

Hao Shao, Shulun Wang, Yang Zhou et al.

Towards Automated Petrography

Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse et al.

Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents

Jane Lee, Baturay Saglam, Spyridon Pougkakiotis et al.

Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment

Woojun Kim, Katia Sycara

Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption

Longxiang He, Deheng Ye, Junbo Tan et al.

DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm

Xiaowei Zhu, Yubing Ren, Fang Fang et al.

Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps

Haibo Jin, Peiyan Zhang, Man Luo et al.

Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback

Ofir Schlisselberg, Tal Lancewicki, Peter Auer et al.

Sparse Image Synthesis via Joint Latent and RoI Flow

Ziteng Gao, Jay Zhangjie Wu, Mike Zheng Shou

SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering

Zeyu Zhu, KE LIANG, Lingyuan Meng et al.

Beyond Prediction: Managing the Repercussions of Machine Learning Applications

Aline Weber, Blossom Metevier, Yuriy Brun 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.

Polyline Path Masked Attention for Vision Transformer

Zhongchen Zhao, Chaodong Xiao, Hui LIN et al.

Coresets for Clustering Under Stochastic Noise

Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi et al.

Enforcing convex constraints in Graph Neural Networks

Ahmed Rashwan, Keith Briggs, Chris Budd et al.

P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models

Tingjia Shen, Hao Wang, Chuhan Wu et al.

Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations

Ansong Ni, Ruta Desai, Yang Li et al.

Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations

Panqi Chen, Yifan Sun, Lei Cheng et al.

Sequential Attention-based Sampling for Histopathological Analysis

Tarun Gogisetty, Naman Malpani, Gugan Chandrashekhar Mallika Thoppe et al.

CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections

Keuntae Kim, Eunhye Jeong, Sehyeon Lee et al.

Adversarial generalization of unfolding (model-based) networks

Vicky Kouni

Generative Perception of Shape and Material from Differential Motion

Xinran Han, Ko Nishino, Todd Zickler

LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models

Hao Sun, Huailiang Peng, Qiong Dai et al.

Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models

Christopher Chiu, Silviu Pitis, Mihaela van der Schaar

Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity

Victor Li, Baiting Chen, Yuzhen Mao et al.

Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features

Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Mahesh Chandran

Uncertainty Estimation by Flexible Evidential Deep Learning

Taeseong Yoon, Heeyoung Kim

VMDT: Decoding the Trustworthiness of Video Foundation Models

Yujin Potter, Zhun Wang, Nicholas Crispino et al.

Learning Human-Object Interaction as Groups

Jiajun Hong, Jianan Wei, Wenguan Wang

Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics

Zhenbin Wang, Lei Zhang, Wei Huang et al.

Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space

Mingyang Yi, Bohan Wang

Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation

Xiang Fang, Wanlong Fang, Changshuo Wang

Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections

Wei Zhuo, Zhaohuan Zhan, Han Yu

HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations

Junxi Xiao, Qinliang Su, Zexin Yuan

Vulnerable Data-Aware Adversarial Training

Yuqi Feng, Jiahao Fan, Yanan Sun

Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning

Ruilin Tong, Haodong Lu, Yuhang Liu et al.

Revising and Falsifying Sparse Autoencoder Feature Explanations

George Ma, Samuel Pfrommer, Somayeh Sojoudi

egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-world Tasks

Matthias Jammot, Björn Braun, Paul Streli et al.

Transformers Learn Faster with Semantic Focus

Parikshit Ram, Kenneth Clarkson, Tim Klinger et al.

Rethinking Evaluation of Infrared Small Target Detection

Youwei Pang, Xiaoqi Zhao, Lihe Zhang et al.

Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models

Haidong Kang, Lihong Lin, Hanling Wang

HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation

Panwang Pan, Tingting Shen, Chenxin Li et al.

ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection

Tao Yin, Shaochen Fu, Zhibin Zhang et al.

DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging

Felix Wagner, Pramit Saha, Harry Anthony et al.

A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks

Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Kording et al.

Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection

Dongkeun Kim, Minsu Cho, Suha Kwak

PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On

Shibin Mei, Bingbing Ni

Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions

Guoji Fu, Wee Sun Lee

MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation

Ziru Wang, Mengmeng Wang, Guang Dai et al.

Why Playing Against Diverse and Challenging Opponents Speeds Up Coevolution: A Theoretical Analysis on Combinatorial Games

Alistair Benford, Per Kristian Lehre

Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms

Alistair Benford, Per Kristian Lehre

Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones

Ke Li, Yan Ding, Zhiqin Zhu et al.

PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework

Wei LIN, Yiwei Zhou, Junkai Zhang et al.

Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies

Vipul Sharma, Wesley Suttle, S Sivaranjani

DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation

JaeYun Lee, Jae Hyeon Park, Gyoomin Lee et al.

Graph Persistence goes Spectral

Mattie Ji, Amauri Souza, Vikas Garg

Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse

Ruikun Luo, Changwei Gu, Qiang He et al.

Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition

Sang Han, Seonho Lee, Hyeok Nam et al.

RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation

Xingliang Wang, Zemin Liu, Junxiao Han et al.

Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding

Sunwoo Kim, Hyunjin Hwang, Kijung Shin

SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia

Mengxuan Chen, Li, Zou Ziheng et al.

LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data

Zehao Wang, Lin Yang, Jie Wang et al.

Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration

Zhitao Zeng, Guojian Yuan, Junyuan Mao et al.

Composing Linear Layers from Irreducibles

Travis Pence, Daisuke Yamada, Vikas Singh

FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network

Shuo Xu, Yu Chen, Shuxia Lin et al.

OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata

Oussema Dhaouadi, Riccardo Marin, Johannes Meier et al.

CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning

Yinjie Wang, Ling Yang, Ye Tian et al.

Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective

Haifeng Zhao, Haiyang Li, Lei-Lei Ma et al.

A compressive-expressive communication framework for compositional representations

Rafael Elberg, Felipe del Río, Mircea Petrache et al.

Salient Concept-Aware Generative Data Augmentation

Tianchen Zhao, Xuanbai Chen, Zhihua Li et al.

ARM: Adaptive Reasoning Model

Tinghui Zhu, Jian Xie, yikai zhang et al.

Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity

Enneng Yang, Anke Tang, Li Shen et al.

Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers

Xin Zhao, Xiaojun Chen, Bingshan Liu et al.

STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex

Ethan Trepka, Ruobing Xia, Shude Zhu et al.

Test-Time Adaptation by Causal Trimming

Yingnan Liu, Rui Qiao, Mong-Li Lee et al.

Size-adaptive Hypothesis Testing for Fairness

Antonio Ferrara, Francesco Cozzi, Alan Perotti et al.

A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning

Xiaoli Tang, Han Yu, Xiaoxiao Li

SALS: Sparse Attention in Latent Space for KV Cache Compression

Junlin Mu, Hantao Huang, Jihang Zhang et al.

Discovering Opinion Intervals from Conflicts in Signed Graphs

Peter Blohm, Florian Chen, Aristides Gionis et al.

The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?

Hao Yin, Guangzong Si, Zilei Wang

Regression Trees Know Calculus

Nathan Wycoff

Model-Informed Flows for Bayesian Inference

Joohwan Ko, Justin Domke

Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement

Yidi Liu, Xueyang Fu, Jie Huang et al.

BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation

Yujia Chen, Rui Sun, Wangkai Li et al.

Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing

Manchao Bao, Shengjiang Fang, Tao Yue et al.

SpaceServe: Spatial Multiplexing of Complementary Encoders and Decoders for Multimodal LLMs

zhicheng li, Shuoming Zhang, Jiacheng Zhao et al.

Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments

Jiahui Wang, Chao Chen, Jiacheng Xu et al.

A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation

Qichao Cao, Shangzhi Zeng, Jin Zhang

Lookahead Routing for Large Language Models

Canbin Huang, Tianyuan Shi, Yuhua Zhu et al.

SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning

Xinbin Yuan, Jian Zhang, Kaixin Li et al.

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic

Kanghyun Choi, Hyeyoon Lee, Sunjong Park et al.

Private Evolution Converges

Tomás González Lara, Giulia Fanti, Aaditya Ramdas

Preference-Based Dynamic Ranking Structure Recognition

Nan Lu, Jian Shi, Xinyu Tian

Model Editing for Vision Transformers

Xinyi Huang, Kangfei Zhao, Long-Kai Huang

Incentivizing Time-Aware Fairness in Data Sharing

Jiangwei Chen, Kieu Thao Nguyen Pham, Rachael Sim et al.

Scalable Policy-Based RL Algorithms for POMDPs

Ameya Anjarlekar, S. Rasoul Etesami, R. Srikant

Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval

Shuang Zhang, Yue Wu, Lei Shi et al.

Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions

Razaib Tariq, Minji Heo, Shahroz Tariq et al.

PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations

Ana Rivera Him, Anvita Bhagavathula, Alvaro Carbonero et al.

Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors

Ke Liu, Shangde Gao, Yichao Fu et al.

InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions

Liangjian Wen, Qun Dai, Jianzhuang Liu et al.

Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures

Shuqing Luo, Ye Han, Pingzhi Li et al.

Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion

Qijun Luo, Yifei Shen, Liangzu Peng et al.

Multivariate Time Series Anomaly Detection with Idempotent Reconstruction

Xin Sun, Heng Zhou, Chao Li

UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes

Yuang Meng, Xin Jin, Lina Lei et al.

Document Summarization with Conformal Importance Guarantees

Bruce Kuwahara, Chen-Yuan Lin, Xiao Shi Huang et al.

HOComp: Interaction-Aware Human-Object Composition

Dong Liang, Jinyuan Jia, Yuhao LIU et al.

The Dual Nature of Plasticity Loss in Deep Continual Learning: Dissection and Mitigation

Haoyu Wang, Wei Dai, Jiawei Zhang et al.

Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect

Ruiyang Lin, Yongyi Guo, Kyra Gan

PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination

Hyunseung Lim, Sooyohn Nam, Sungmin Na et al.

TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction

Zhongyi Yu, Jianqiu Wu, Zhenghao Wu et al.

Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention

Zhen Yang, Ziwei Du, Minghan Zhang et al.

Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning

Faeze Moradi Kalarde, Ali Bereyhi, Ben Liang et al.

Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits

Md Mobasshir Arshed Naved, Wenbo Xie, Wojciech Szpankowski et al.

BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing

Jinsu Kim, Yunhun Nam, Minseon Kim et al.

Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning

Quanjiang Li, Tianxiang Xu, Tingjin Luo et al.

Accelerating Feature Conformal Prediction via Taylor Approximation

Zihao Tang, Boyuan Wang, Chuan Wen et al.

Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification

Yongxiang Li, Yanglin Feng, Yuan Sun et al.

Faster Fixed-Point Methods for Multichain MDPs

Matthew Zurek, Yudong Chen

Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data

shu chen, HongJun Xu, Ruichi Zhang et al.

EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction

Hsi-Che Lin, Yu-Chu Yu, Kai-Po Chang et al.

EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation

Haotian Ling, Zequn Chen, Qiuying Chen et al.

Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians

Xingyu Liu, Pengfei Ren, Qi Qi et al.

NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval

Junchen Li, Rongzheng Wang, Yihong Huang et al.

Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection

Litao Li, Leo Song, Steven Ding et al.

Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion

Yan Xu, Yixing Wang, Stella X. Yu

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

Ziyi Yang, Hanyuan Xie, Yinjun Jia et al.

Improving Model-Based Reinforcement Learning by Converging to Flatter Minima

Shrinivas Ramasubramanian, Benjamin Freed, Alexandre Capone et al.

Private Zeroth-Order Optimization with Public Data

Xuchen Gong, Tian Li

Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders

Samuel V. Singh, Shirley Coyle, Mimi Zhang

Data-Dependent Regret Bounds for Constrained MABs

Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni et al.