Most Cited 2025 "image-based encoding" Papers

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.

Benchmarking Large Language Models with Integer Sequence Generation Tasks

Daniel O'Malley, Manish Bhattarai, Nishath Ranasinghe et al.

Understanding Personal Concept in Open-Vocabulary Semantic Segmentation

Sunghyun Park, Jungsoo Lee, Shubhankar Borse et al.

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

shu chen, HongJun Xu, Ruichi Zhang 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

FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling

qiusheng huang, Xiaohui Zhong, Xu Fan et al.

Private Zeroth-Order Optimization with Public Data

Xuchen Gong, Tian Li

Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity

Mingyuan Sun, Zheng Fang, Jiaxu Wang et al.

Visual Interestingness Decoded: How GPT-4o Mirrors Human Interests

Fitim Abdullahu, Helmut Grabner

REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset

Xiaojun Ning, Jing Wang, Zhiyang Feng et al.

Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm

Xue-Feng Zhu, Tianyang Xu, Yifan Pan et al.

GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer

Sayan Deb Sarkar, Sinisa Stekovic, Vincent Lepetit et al.

Aeolus: A Multi-structural Flight Delay Dataset

Lin Xu, Xinyun Yuan, Yuxuan Liang et al.

Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation

Yanda Chen, Gongwei Chen, Miao Zhang et al.

MaxSup: Overcoming Representation Collapse in Label Smoothing

Yuxuan Zhou, Heng Li, Zhi-Qi Cheng et al.

TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery

Zhihao Wang, Cooper Li, Ruichen Wang et al.

Network two-sample test for block models

Chung Kyong Nguen, Arash Amini, OSCAR HERNAN MADRID PADILLA

DQVis Dataset: Natural Language to Biomedical Visualization

Devin Lange, Pengwei Sui, Shanghua Gao et al.

Towards Performance Consistency in Multi-Level Model Collaboration

Qi Li, Runpeng Yu, Xinchao Wang

Understanding Data Influence in Reinforcement Finetuning

Haoru Tan, Xiuzhe Wu, Sitong Wu et al.

AIRA: Activation-Informed Low-Rank Adaptation for Large Models

Lujun Li, Dezhi Li, Cheng Lin et al.

How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs

Samet Demir, Zafer Dogan

The Value of Sensory Information to a Robot

Arjun Krishna, Edward Hu, Dinesh Jayaraman

IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants

Vivek Chavan, Yasmina Imgrund, Tung Dao et al.

SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation

Rey Koki, Michael McCabe, Dhruv Kedar et al.

Learning from Interval Targets

Rattana Pukdee, Ziqi Ke, Chirag Gupta

IEEE Computer Society

SummDiff: Generative Modeling of Video Summarization with Diffusion

Kwanseok Kim, Jaehoon Hahm, Sumin Kim et al.

Unfolding-Associative Encoder-Decoder Network with Progressive Alignment for Pansharpening

Shijie Fang, Hongping Gan

LMO: Linear Mamba Operator for MRI Reconstruction

Wei Li, jiawei jiang, Jie Wu et al.

TAPAS: Datasets for Learning the Learning with Errors Problem

Eshika Saxena, Alberto Alfarano, Francois Charton et al.

Dimensionality Mismatch Between Brains and Artificial Neural Networks

Santiago Galella, Maren Wehrheim, Matthias Kaschube

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees

Daniel Ovalle, Lorenz Biegler, Ignacio Grossmann et al.

Meta-learning how to Share Credit among Macro-Actions

Ionel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu

MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration

Tao Wang, Peiwen Xia, Bo Li et al.

ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks

Huiri Tan, Juyong Jiang, Jiasi Shen

Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training

Tony Bonnaire, Raphaël Urfin, Giulio Biroli et al.

PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models

Pawan Neupane, Jian Liu, Jianlin Cheng

RALoc: Enhancing Outdoor LiDAR Localization via Rotation Awareness

Yuyang Yang, Wen Li, Sheng Ao et al.

Progressive Distribution Bridging: Unsupervised Adaptation for Large-scale Pre-trained Models via Adaptive Auxiliary Data

Weinan He, Yixin Zhang, Zilei Wang

SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling

Yizhao Gao, Zhichen Zeng, DaYou Du et al.

Imbalance in Balance: Online Concept Balancing in Generation Models

Yukai Shi, Jiarong Ou, Rui Chen et al.

Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary

ChuYu Zhou, Tianyu Li, Chenxi Lan et al.

SAMPLE: Semantic Alignment through Temporal-Adaptive Multimodal Prompt Learning for Event-Based Open-Vocabulary Action Recognition

Jing Wang, Rui Zhao, Ruiqin Xiong et al.

Fast attention mechanisms: a tale of parallelism

Jingwen Liu, Hantao Yu, Clayton Sanford et al.

CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction

Ella Miray Rajaonson, Mahyar Rajabi Kochi, Luis Martin Mejia Mendoza et al.

mmWalk: Towards Multi-modal Multi-view Walking Assistance

Kedi Ying, Ruiping Liu, Chongyan Chen et al.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts

Zixuan Hu, Dongxiao Li, Xinzhu Ma et al.

The Omni-Expert: A Computationally Efficient Approach to Achieve a Mixture of Experts in a Single Expert Model

Sohini Saha, Mezisashe Ojuba, Leslie Collins et al.

PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation

Zhihao ZHU, Yifan Zheng, Siyu Pan et al.

MolVision: Molecular Property Prediction with Vision Language Models

Deepan Adak, Yogesh Rawat, Shruti Vyas

MuSLR: Multimodal Symbolic Logical Reasoning

Jundong Xu, Hao Fei, Yuhui Zhang et al.

MDD: A Dataset for Text-and-Music Conditioned Duet Dance Generation

Prerit Gupta, Jason Alexander Fotso-Puepi, Zhengyuan Li et al.

Merlin L48 Spectrogram Dataset

Aaron Sun, Subhransu Maji, Grant Van Horn

MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models

Zimeng Huang, Jinxin Ke, Xiaoxuan Fan et al.

SU-RGS: Relightable 3D Gaussian Splatting from Sparse Views under Unconstrained Illuminations

Qi Zhang, Chi Huang, Qian Zhang et al.

SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series

Qitai Tan, Yiyun Chen, Mo Li et al.

ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection

Sheng Ye, Xin Chen, Yan Zhang et al.

LOMM: Latest Object Memory Management for Temporally Consistent Video Instance Segmentation

Seunghun Lee, Jiwan Seo, Minwoo Choi et al.

KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles

Chaoyong Yang, Jia-Li Yin, Bin Chen et al.

Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations

Liviu Aolaritei, Julie Zhu, Oliver Wang et al.

Not Only Vision: Evolve Visual Speech Recognition via Peripheral Information

Zhaoxin Yuan, Shuang Yang, Shiguang Shan et al.

StringLLM: Understanding the String Processing Capability of Large Language Models

Xilong Wang, Hao Fu, Jindong Wang et al.

Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints

Jayanta Mandi, Marianne Defresne, Senne Berden et al.

Protocols for Verifying Smooth Strategies in Bandits and Games

Miranda Christ, Daniel Reichman, Jonathan Shafer

A Unified Approach to Submodular Maximization Under Noise

Kshipra Bhawalkar, Yang Cai, Zhe Feng et al.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models

JIPENG LI, Yanning Shen

Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model

Kai Tong, Kang Pan, Xiao Zhang et al.

PHANTOM: A Benchmark for Hallucination Detection in Financial Long-Context QA

Lanlan Ji, Dominic Seyler, Gunkirat Kaur et al.

DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension

Xiaofu Chen, Yaxin Luo, Luo et al.

Learning to Solve Complex Problems via Dataset Decomposition

Wanru Zhao, Lucas Page-Caccia, Zhengyan Shi et al.

Prior-free 3D Object Tracking

Xiuqiang Song, Li Jin, Zhengxian Zhang et al.

Radial Attention: $\mathcal O(n \log n)$ Sparse Attention for Long Video Generation

XINGYANG LI, Muyang Li, Tianle Cai et al.

Energy Loss Functions for Physical Systems

Oumar Kaba, Kusha Sareen, Daniel Levy et al.

Accelerated Evolving Set Processes for Local PageRank Computation

Binbin Huang, Luo Luo, Yanghua Xiao et al.

SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation

Claudia Cuttano, Gabriele Trivigno, Giuseppe Averta et al.

GauUpdate: New Object Insertion in 3D Gaussian Fields with Consistent Global Illumination

Chengwei REN, Fan Zhang, Liangchao Xu et al.

Compositional Neural Network Verification via Assume-Guarantee Reasoning

Hai Duong, David Shriver, ThanhVu Nguyen et al.

Generating and Checking DNN Verification Proofs

Hai Duong, ThanhVu Nguyen, Matthew Dwyer

LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts

Zhuo Han, Yi Yang, Yi Feng et al.

Enhanced Event-based Dense Stereo via Cross-Sensor Knowledge Distillation

Haihao Zhang, Yunjian Zhang, Jianing Li et al.

Your Text Encoder Can Be An Object-Level Watermarking Controller

Naresh Kumar Devulapally, Mingzhen Huang, Vishal Asnani et al.

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

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

ReCon-GS: Continuum-Preserved Guassian Streaming for Fast and Compact Reconstruction of Dynamic Scenes

Jiaye Fu, Qiankun Gao, Chengxiang Wen et al.

Orochi: Versatile Biomedical Image Processor

Gaole Dai, Chenghao Zhou, Yu Zhou et al.

Conditional Diffusion Anomaly Modeling on Graphs

Chunyu Wei, Haozhe Lin, Yueguo Chen et al.

ConnectomeBench: Can LLMs proofread the connectome?

Jeff Brown, Andrew Kirjner, Annika Vivekananthan et al.

A$^3$E: Towards Compositional Model Editing

Hongming Piao, Hao Wang, Dapeng Wu et al.

Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning

Zailong Tian, Zhuoheng Han, Houfeng Wang et al.

Music Grounding by Short Video

Zijie Xin, Minquan Wang, Jingyu Liu et al.

Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels

Daning Huang, Hanyang He, John Harlim et al.

A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity

Kuat Gazizov, Miguel A. Carreira-Perpinan

Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation

Yangtao Zhou, Hua Chu, chen et al.

Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions

Yanna Ding, Songtao Lu, Yingdong Lu et al.

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting

Haobo Li, Eunseo Jung, Zixin CHEN et al.

$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation

Weilun Feng, Haotong Qin, Chuanguang Yang et al.

Generalizing Experience for Language Agents with Hierarchical MetaFlows

Shengda Fan, Xin Cong, Zhong Zhang et al.

Stratify or Die: Rethinking Data Splits in Image Segmentation

Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller et al.

Scaling and Taming Adversarial Training with Synthetic Data

Juntao Wu, Xianting Huang, Yu Chen et al.

Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport

Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard et al.

Are Language Models Efficient Reasoners? A Perspective from Logic Programming

Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami et al.

Conical Visual Concentration for Efficient Large Vision-Language Models

Long Xing, Qidong Huang, Xiaoyi Dong et al.

Monoculture or Multiplicity: Which Is It?

Mila Gorecki, Moritz Hardt

A Principled Path to Fitted Distributional Evaluation

Sungee Hong, Jiayi Wang, Zhengling Qi et al.

Intend to Move: A Multimodal Dataset for Intention-Aware Human Motion Understanding

Ryo Umagami, Liu Yue, Xuangeng Chu et al.

DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection

Francisco Caetano, Christiaan Viviers, Luis Zavala-Mondragón et al.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning

Wooseong Jeong, Kuk-Jin Yoon

Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets

Ji Xia, Yizi Zhang, Shuqi Wang et al.

Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation

Chen YAN, Weina Wang, Lei Ying

Reverse Engineering Human Preferences with Reinforcement Learning

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

Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding

Nuoye Xiong, Anqi Dong, Ning Wang et al.

ELDET: Early-Learning Distillation with Noisy Labels for Object Detection

Dongmin Choi, Sangbin Lee, EungGu Yun et al.

DataSIR: A Benchmark Dataset for Sensitive Information Recognition

Fan Mo, Bo Liu, Yuan Fan et al.

OrdShap: Feature Position Importance for Sequential Black-Box Models

Davin Hill, Brian Hill, Aria Masoomi et al.

One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head

Junhao Xia, Haotian Zhu, Shuchao Pang et al.

ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility

Yihang Zhou, Chen Wei, Minghao Sun et al.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost

Taiga Yamane, Ryo Masumura, Satoshi Suzuki et al.

Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.

Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks

Alper KALLE, Théo Rudkiewicz, Mohamed Ouerfelli et al.

Steering LLMs' Behavior with Concept Activation Vectors

Ruixuan HUANG, Shuai Wang

Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context

Yijia Dai, Zhaolin Gao, Yahya Sattar et al.

EVDM: Event-based Real-world Video Deblurring with Mamba

Zhijing Sun, Senyan Xu, Kean Liu et al.

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

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

Isotropic Noise in Stochastic and Quantum Convex Optimization

Annie Marsden, Liam O'Carroll, Aaron Sidford et al.

Revolutionizing EMCCD Denoising through a Novel Physics-Based Learning Framework for Noise Modeling

Haiyang Jiang, Tetsuichi Wazawa, Imari Sato et al.

The Right to Red-Team: Adversarial AI Literacy as a Civic Imperative in K-12 Education

Devan Walton, Haesol Bae

Prohibiting Generative AI in any Form of Weapon Control

Mary Cummings

Improving Formal Reasoning of Transformer with State Stack

Kechi Zhang, Ge Li, Jia Li et al.

EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation

Md Mostafijur Rahman, Radu Marculescu

Communication-Efficient Multi-Vehicle Collaborative Semantic Segmentation via Sparse 3D Gaussian Sharing

Tianyu Hong, Xiaobo Zhou, Wenkai Hu et al.

Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing

Yang Xiao, Wang Lu, Jie Ji et al.

Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks

Jiawei Wang, Yushen Zuo, Yuanjun Chai et al.

Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals

Qinsi Wang, Jinghan Ke, Hancheng Ye et al.

Active Learning Meets Foundation Models: Fast Remote Sensing Data Annotation for Object Detection

Marvin Burges, Philipe Dias, Dalton Lunga et al.

Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error

Panagiotis Giannoulis, Yorgos Pantis, Christos Tzamos

SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.

Elizaveta Semenova, Siobhan Mackenzie Hall, Timothy James Hitge et al.

Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration

Nicholas Vincent, Matt Prewitt, Hanlin Li

Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All?

Josu Eguíluz, Axel Brando, Migle Laukyte et al.

SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation

Enzhi Zhang, Peng Chen, Rui Zhong et al.

T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints

Thomas Eiter, Katsumi Inoue, Nelson Higuera et al.

Emerging Risks from Embodied AI Require Urgent Policy Action

Jared Perlo, Alexander Robey, Fazl Barez et al.

Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning

Guancheng Wan, Xu Cheng, Run Liu et al.

Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"

Raad Khraishi, Cristovao Iglesias de Oliveira, Devesh Batra et al.

FracFace: Breaking The Visual Clues—Fractal-Based Privacy-Preserving Face Recognition

Wanying Dai, Beibei Li, Naipeng Dong et al.

Knot So Simple: A Minimalistic Environment for Spatial Reasoning

Zizhao Chen, Yoav Artzi

OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance

Yuhan Yao, Feifei Kou, Lei Shi et al.

FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network

Fangtong Sun, Congyu Li, Ke Yang et al.

Q-Norm: Robust Representation Learning via Quality-Adaptive Normalization

Lanning Zhang, Ying Zhou, Fei Gao et al.

Stochastic-Constrained Stochastic Optimization with Markovian Data

Yeongjong Kim, Dabeen Lee

Optimal Best Arm Identification under Differential Privacy

Marc Jourdan, Achraf Azize

Zero-shot World Models via Search in Memory

Federico Malato, Ville Hautamäki

A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond

Zicheng Hu, Cheng Chen

SpinMeRound: Consistent Multi-View Identity Generation Using Diffusion Models

Stathis Galanakis, Alexandros Lattas, Stylianos Moschoglou et al.

Spectral Compressive Imaging via Chromaticity-Intensity Decomposition

Xiaodong Wang, Zijun He, Ping Wang et al.

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification

Sebastian Ojeda, Rafael Velasquez, Nicolás Aparicio et al.

Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems

Michal Derezinski, Daniel LeJeune, Deanna Needell et al.

UMoE: Unifying Attention and FFN with Shared Experts

Yuanhang Yang, Chaozheng Wang, Jing Li

Is Visual in-Context Learning for Compositional Medical Tasks within Reach?

Simon Reiß, Zdravko Marinov, Alexander Jaus et al.

ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation

Cihang Peng, Qiming HOU, Zhong Ren et al.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling

Xiaoxue Chen, Bhargav Chandaka, Chih-Hao Lin et al.

UDC-VIT: A Real-World Video Dataset for Under-Display Cameras

Kyusu Ahn, JiSoo Kim, Sangik Lee et al.

Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning

Hualong Ke, Yachao Zhang, Jiangming Shi et al.

Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs

Tengyun Ma, Jiaqi Yao, Daojing He et al.

Feature-Preserving Mesh Decimation for Normal Integration

Moritz Heep, Sven Behnke, Eduard Zell

DATA: Domain-And-Time Alignment for High-Quality Feature Fusion in Collaborative Perception

Chengchang Tian, Jianwei Ma, Yan Huang et al.

Simple and Efficient Heterogeneous Temporal Graph Neural Network

Yili Wang, Tairan Huang, Changlong He et al.

Provable Meta-Learning with Low-Rank Adaptations

Jacob Block, Sundararajan Srinivasan, Liam Collins et al.

Proxy-Bridged Game Transformer for Interactive Extreme Motion Prediction

Yanwen Fang, Wenqi Jia, Xu Cao et al.

TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition

Zhe Zhao, Zhiheng Gong, Pengkun Wang et al.

π-AVAS: Can Physics-Integrated Audio-Visual Modeling Boost Neural Acoustic Synthesis?

Susan Liang, Chao Huang, Yolo Yunlong Tang et al.

LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model

Xiangkun Wang, Kejiang Chen, Lincong Li et al.

Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem

Elvis Dohmatob

Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery

Zhe Zhao, HaiBin Wen, Xianfu Liu et al.

Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling

Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.

Encouraging metric-aware diversity in contrastive representation space

Tianxu Li, Kun Zhu

Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration

Zhang Junyu, Lizhong Ding, MinghongZhang et al.

Fantastic Bugs and Where to Find Them in AI Benchmarks

Sang Truong, Yuheng Tu, Michael Hardy et al.

FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization

Xunzhao Yu

SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography

Nima Hadidi, Jason Chan, Ebrahim Feghhi et al.

Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations

Chao Su, Likang Peng, Yuan Sun et al.

Impartial Selection with Predictions

Rethinking PCA Through Duality

Jan Quan, Johan Suykens, Panagiotis Patrinos

OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions

Cheng Luo, Jianghui Wang, Bing Li et al.

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix

Ming Wen, Jiaqi Zhu, Yuedong Xu et al.

Generalization Bounds for Rank-sparse Neural Networks

Antoine Ledent, Rodrigo Alves, Yunwen Lei

On Agnostic PAC Learning in the Small Error Regime

Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas

RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering

Rongyang Zhang, Yuqing Huang, Chengqiang Lu et al.

AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking

Xiangqi Wang, Yue Huang, Yanbo Wang et al.

Hi-Gaussian: Hierarchical Gaussians under Normalized Spherical Projection for Single-View 3D Reconstruction

Binjian Xie, Pengju Zhang, Hao Wei et al.

Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning

Melanie Götz, Torsten Krauß, Alexandra Dmitrienko

Multi-Modal Multi-Task Unified Embedding Model (M3T-UEM): A Task-Adaptive Representation Learning Framework

Rohan Sharma, Changyou Chen, Feng-Ju Chang et al.

Generalization-Preserved Learning: Closing the Backdoor to Catastrophic Forgetting in Continual Deepfake Detection

Xueyi Zhang, Peiyin Zhu, Chengwei Zhang et al.

Robust Sampling for Active Statistical Inference

Puheng Li, Tijana Zrnic, Emmanuel Candes

Generating Likely Counterfactuals Using Sum-Product Networks

Jiří Němeček, Tomáš Pevný, Jakub Marecek

FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges

Kevin Hayes, Micah Goldblum, Vikash Sehwag et al.

Error Forcing in Recurrent Neural Networks

A Sağtekin, Colin Bredenberg, Cristina Savin

Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions

Philip Boeken, Onno Zoeter, Joris Mooij

Learning Neural Scene Representation from iToF Imaging

Wenjie Chang, Hanzhi Chang, Yueyi Zhang et al.