Most Cited 2025 "copyright concerns" Papers
22,274 papers found • Page 79 of 112
Conference
Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
Aocheng Li, James R. Zimmer-Dauphinee, Rajesh Kalyanam et al.
Streamlining Image Editing with Layered Diffusion Brushes
Peyman Gholami, Robert Xiao
SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference
Samir Khaki, Junxian Guo, Jiaming Tang et al.
Online Dense Point Tracking with Streaming Memory
Qiaole Dong, Yanwei Fu
scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy
Ashesh Ashesh, Florian Jug
TeRA: Rethinking Text-guided Realistic 3D Avatar Generation
Yanwen Wang, Yiyu Zhuang, Jiawei Zhang et al.
PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups
Sakuya Ota, Qing Yu, Kent Fujiwara et al.
AFUNet: Cross-Iterative Alignment-Fusion Synergy for HDR Reconstruction via Deep Unfolding Paradigm
Xinyue Li, Zhangkai Ni, Wenhan Yang
Im2Haircut: Single-view Strand-based Hair Reconstruction for Human Avatars
Vanessa Sklyarova, Egor Zakharov, Malte Prinzler et al.
Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching
Giacomo Meanti, Thomas Ryckeboer, Michael Arbel et al.
Fitted Neural Lossless Image Compression
Zhe Zhang, Zhenzhong Chen, Shan Liu
GlassWizard: Harvesting Diffusion Priors for Glass Surface Detection
Wenxue Li, Tian Ye, Xinyu Xiong et al.
DACoN: DINO for Anime Paint Bucket Colorization with Any Number of Reference Images
Kazuma Nagata, Naoshi Kaneko
Abstract Counterfactuals for Language Model Agents
Edoardo Pona, Milad Kazemi Mehrabadi, Yali Du et al.
SpecGuard: Spectral Projection-based Advanced Invisible Watermarking
Inzamamul Alam, Md Islam, Simon Woo et al.
Concept Lancet: Image Editing with Compositional Representation Transplant
Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan et al.
Preserve Anything: Controllable Image Synthesis with Object Preservation
Prasen Kumar Sharma, Neeraj Matiyali, Siddharth Srivastava et al.
MamTiff-CAD: Multi-Scale Latent Diffusion with Mamba+ for Complex Parametric Sequence
Liyuan Deng, Yunpeng Bai, Yongkang Dai et al.
Reverse Convolution and Its Applications to Image Restoration
Xuhong Huang, Shiqi Liu, Kai Zhang et al.
Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition
Zefeng Qian, Xincheng Yao, Yifei Huang et al.
Expressive Talking Human from Single-Image with Imperfect Priors
Jun Xiang, Yudong Guo, Leipeng Hu et al.
RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis
Robin Yadav, Qi Yan, Guy Wolf et al.
Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering
Zhen Yang, Zhuo Tao, Qi Chen et al.
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
Gerardo Flores, Alyssa H. Smith, Julia Fukuyama et al.
CompleteMe: Reference-based Human Image Completion
Yu-Ju Tsai, Brian Price, Qing Liu et al.
Perceptual Inductive Bias Is What You Need Before Contrastive Learning
Junru Zhao, Tianqin Li, Dunhan Jiang et al.
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
Sayak Nag, Udita Ghosh, Calvin-Khang Ta et al.
REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder
Yitian Zhang, Long Mai, Aniruddha Mahapatra et al.
MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query
Wei Chow, Yuan Gao, Linfeng Li et al.
CARL: A Framework for Equivariant Image Registration
Hastings Greer, Lin Tian, François-Xavier Vialard et al.
From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition
Ling Lo, Kelvin Chan, Wen-Huang Cheng et al.
MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps
Jiahui Lei, Kyle Genova, George Kopanas et al.
Learning Implicit Features with Flow-Infused Transformations for Realistic Virtual Try-On
Delong Zhang, Qiwei Huang, Yang Sun et al.
Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains
Marianne Rakic, Siyu Gai, Etienne Chollet et al.
PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineer
Zhiwei Yang, Chen Gao, Mike Zheng Shou
A Hyperdimensional One Place Signature to Represent Them All: Stackable Descriptors For Visual Place Recognition
Connor Malone, Somayeh Hussaini, Tobias Fischer et al.
Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing
Joowon Kim, Ziseok Lee, Donghyeon Cho et al.
Accident Anticipation via Temporal Occurrence Prediction
Tianhao Zhao, Yiyang Zou, Zihao Mao et al.
FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
Fares Mehouachi, Saif Eddin Jabari
Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game
Tingting Dan, Xinwei Huang, Won Hwa Kim et al.
Topology-aware Graph Diffusion Model with Persistent Homology
Joonhyuk Park, Donghyun Lee, Yujee Song et al.
Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
Larkin Liu, Jalal Etesami
SPRO: Improving Image Generation via Self-Play
Ritika Jha, Aanisha Bhattacharyya, Yaman Singla et al.
OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning
Zeting Chen, Xinyu Cai, Molei Qin et al.
Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics
Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential
Tianxiao He, Malhar Patel, Chenyi Li et al.
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis
Neeraj Kumar, Chad Vanderbilt
Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
Jing Zuo, Luoping Cui, Chuang Zhu et al.
FHGS: Feature-Homogenized Gaussian Splatting
qigeng duan, Benyun ZHAO, Mingqiao Han et al.
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal et al.
Dropout Regularization Versus l2-Penalization in the Linear Model
Gabriel Clara, Sophie Langer, Johannes Schmidt-Hieber
Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
Woo Kyoung Han, Byeonghun Lee, Hyunmin Cho et al.
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
Jason Wu, Yuyang Yuan, Kang Yang et al.
Information Retrieval Induced Safety Degradation in AI Agents
Cheng Yu, Benedikt Stroebl, Diyi Yang et al.
Position: Require Frontier AI Labs To Release Small "Analog" Models
Shriyash Upadhyay, Philip Quirke, Narmeen Oozeer et al.
Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
Chenguang Duan, Yuling Jiao, Huazhen Lin et al.
Differentiable Decision Tree via "ReLU+Argmin" Reformulation
Qiangqiang Mao, Jiayang Ren, Yixiu Wang et al.
HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions
Dor Tsur, Carol Long, Claudio Mayrink Verdun et al.
High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
Xilin Xia, Jie Wang, Wanbo Zhang et al.
Differentially Private High-dimensional Variable Selection via Integer Programming
Petros Prastakos, Kayhan Behdin, Rahul Mazumder
Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
Jianghao Lin, Rong Shan, Jiachen Zhu et al.
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
Chaewoon Bae, Doyun Choi, Jaehyun Lee et al.
Approximating Shapley Explanations in Reinforcement Learning
Daniel Beechey, Özgür Şimşek
CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization
WEI XING, Zhenjie Lu, Akeel Shah
Vision-Language Model IP Protection via Prompt-based Learning
Lianyu Wang, Meng Wang, Huazhu Fu et al.
CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning
Ronghao Lin, Qiaolin He, Sijie Mai et al.
Bridging Crypto with ML-based Solvers: the SAT Formulation and Benchmarks
Xinhao Zheng, Xinhao Song, Bolin Qiu et al.
NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
Donghyun Son, Euntae Choi, Sungjoo Yoo
Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function
Yi-Chen Li, Zhongxiang Ling, Tao Jiang et al.
Latent Principle Discovery for Language Model Self-Improvement
Keshav Ramji, Tahira Naseem, Ramón Astudillo
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
Huitong Yang, Zhuoxiao Chen, Fengyi Zhang et al.
Online Optimization for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Alan Fern et al.
Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
Alan Lahoud, Erik Schaffernicht, Johannes Andreas Stork
Mixture of Inputs: Text Generation Beyond Discrete Token Sampling
Yufan Zhuang, Liyuan Liu, Chandan Singh et al.
S^3-Face: SSS-Compliant Facial Reflectance Estimation via Diffusion Priors
Xingyu Ren, Jiankang Deng, Yuhao Cheng et al.
Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
Zheng Zhan, Liliang Ren, Shuohang Wang et al.
ShowMak3r: Compositional TV Show Reconstruction
Sangmin Kim, Seunguk Do, Jaesik Park
Bézier Splatting for Fast and Differentiable Vector Graphics Rendering
Xi Liu, Chaoyi Zhou, Nanxuan Zhao et al.
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
Paul Brunzema, Sebastian Trimpe
StageDesigner: Artistic Stage Generation for Scenography via Theater Scripts
Zhaoxing Gan, Mengtian Li, Ruhua Chen et al.
Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
Navid Hashemi, Samuel Sasaki, Ipek Oguz et al.
Bridging Expressivity and Scalability with Adaptive Unitary SSMs
Arjun Karuvally, Franz Nowak, Andy Keller et al.
Efficient Allocation of Working Memory Resource for Utility Maximization in Humans and Recurrent Neural Networks
Qingqing Yang, Hsin-Hung Li
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
Shiji Zhou, Tianbai Yu, Zhi Zhang et al.
Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework
Shixuan Wang, Jingwen Ye, Xinchao Wang
Learning Robust Vision-Language Models from Natural Latent Spaces
Zhangyun Wang, Ni Ding, Aniket Mahanti
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon et al.
Learning to Learn with Contrastive Meta-Objective
Shiguang Wu, Yaqing Wang, Yatao Bian et al.
Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling
Hongyi Nie, Yaqing Wang, Mingyang Zhou et al.
Blood Flow Speed Estimation with Optical Coherence Tomography Angiography Images
Wensheng Cheng, Zhenghong Li, Jiaxiang Ren et al.
Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
Inkook Chun, Seungjae Lee, Michael Albergo et al.
Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism
Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham et al.
How Particle System Theory Enhances Hypergraph Message Passing
Yixuan Ma, Kai Yi, Pietro Lió et al.
Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
Yufeng Zou, Zijian Wang, Diego Klabjan et al.
Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
Aadirupa Saha, Robert Schapire
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
Mojtaba Kolahdouzi, Hatice Gunes, Ali Etemad
RestorGS: Depth-aware Gaussian Splatting for Efficient 3D Scene Restoration
Yuanjian Qiao, Mingwen Shao, Lingzhuang Meng et al.
Probing Hidden Knowledge Holes in Unlearned LLMs
Myeongseob Ko, Hoang Anh Just, Charles Fleming et al.
Reinforcement Learning with Backtracking Feedback
Bilgehan Sel, Vaishakh Keshava, Phillip Wallis et al.
Neural Evolution Strategy for Black-box Pareto Set Learning
Chengyu Lu, Zhenhua Li, Xi Lin et al.
High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm
Zhaoyi Tian, Feifeng Wang, Shiwei Wang et al.
Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
Sangho Lee, Kyeongseo Min, Youngdoo Son et al.
OligoGym: Curated Datasets and Benchmarks for Oligonucleotide Drug Discovery
Rachapun Rotrattanadumrong, Carlo De Donno
ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks
Philip Schroeder, Ondrej Biza, Thomas Weng et al.
List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression
Joseph Rowan, Truong Buu Phan, Ashish Khisti
Kernel conditional tests from learning-theoretic bounds
Pierre-François Massiani, Christian Fiedler, Lukas Haverbeck et al.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection
Phi Vu Tran
Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs
Jiacong Zhou, Jiaxu Miao, xianyun wang et al.
Post Hoc Regression Refinement via Pairwise Rankings
Kevin Tirta Wijaya, Michael Sun, Minghao Guo et al.
ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
Jingyuan He, Jiongnan Liu, Vishan Oberoi et al.
Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control
Hongyi Zhou, Jingwei Li, Jingzhao Zhang
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe, Kenshi Abe, Kaito Ariu
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
Suzan Ece Ada, Georg Martius, Emre Ugur et al.
Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures
Gongyu Chen, Ying Cui
Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions
Naoki Kiyohara, Edward Johns, Yingzhen Li
Recurrent Memory for Online Interdomain Gaussian Processes
Wenlong Chen, Naoki Kiyohara, Harrison Zhu et al.
Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges
Shuwen Wei, Samuel Remedios, Blake Dewey et al.
Optimal Estimation of the Best Mean in Multi-Armed Bandits
Takayuki Osogami, Junya Honda, Junpei Komiyama
Graph-Based Attention for Differentiable MaxSAT Solving
Sota Moriyama, Katsumi Inoue
Consistency Posterior Sampling for Diverse Image Synthesis
Vishal Purohit, Matthew Repasky, Jianfeng Lu et al.
Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
Jingjun Yi, Qi Bi, Hao Zheng et al.
Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
Hao Zheng, Jingjun Yi, Qi Bi et al.
Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations
Yuqian Cheng, Zhuo Chen, Qian Lin
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
Sihyung Park, Wenbin Lu, Shu Yang
Accelerating Optimization via Differentiable Stopping Time
Zhonglin Xie, Yiman Fong, Haoran Yuan et al.
IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
Zheng CHEN, Yushi Feng, Jisheng Dang et al.
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
Anirban Das, Muhammad Irtaza Khalid, Rafael Peñaloza et al.
A Unified Latent Schrödinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization
Shilhora Akshay, Niveditha Lakshmi Narasimhan, Jacob George et al.
MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans
Ahmet Karadeniz, Dimitrios Mallis, Danila Rukhovich et al.
scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery
Yiming Gao, Zhen Wang, Jefferson Chen et al.
SpecTRe-GS: Modeling Highly Specular Surfaces with Reflected Nearby Objects by Tracing Rays in 3D Gaussian Splatting
Jiajun Tang, Fan Fei, Zhihao Li et al.
Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization
Matthew Bull, Po-Chen Kuo, Andrew Smith et al.
ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models
Fernando Julio Cendra, Kai Han
Reasoning Planning for Language Models
Ngoc Bao Nguyen, Trung Hieu Nguyen, Ruifeng She et al.
Fully Dynamic Algorithms for Chamfer Distance
Gramoz Goranci, Shaofeng Jiang, Peter Kiss et al.
BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
Zhongju Yuan, Geraint Wiggins, Dick Botteldooren
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers
Nikaan Nikzad, YI LIAO, Yongsheng Gao et al.
Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks
Giyeong Oh, Woohyun Cho, Siyeol Kim et al.
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim, Wonho Bae, YouLee Han et al.
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
Abdellah Rahmani, Pascal Frossard
CH3Depth: Efficient and Flexible Depth Foundation Model with Flow Matching
Jiaqi Li, Yiran Wang, Jinghong Zheng et al.
Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation
Guilin Zhu, Runmin Wang, Yuanjie Shao et al.
EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation
Md Mostafijur Rahman, Radu Marculescu
FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
Yifei Gao, Yong Chen, Chen Zhang
How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation
Xin Lu, Yanyan Zhao, Si Wei et al.
Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation
Kai Zheng, Jianxin Wang, Jinhui Xu
DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference
Chong Wu, Jiawang Cao, Renjie Xu et al.
X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection
Tong Wei, Bolin Wang, Jiang-Xin Shi et al.
HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving
Farchan Hakim Raswa, Chun-Shien Lu, Jia-Ching Wang
Bilevel Network Learning via Hierarchically Structured Sparsity
Jiayi Fan, Jingyuan Yang, Shuangge Ma et al.
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma et al.
Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
Lin Zhu, Tengyu Long, Xiao Wang et al.
Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
Huanjia Zhu, Shuyuan Zheng, Yishu Liu et al.
HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
Kaixuan Yao, Zhuo Li, Jianqing Liang et al.
Event-based HDR Structured Light
Jiacheng Fu, Yue Li, Xin Dong et al.
Cyclic Counterfactuals under Shift–Scale Interventions
Saptarshi Saha, Dhruv Rathore, Utpal Garain
A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data
Dongguen Kim, Young-Geun Choi, Minwoo Chae
Scaling Epidemic Inference on Contact Networks: Theory and Algorithms
Guanghui Min, Yinhan He, Chen Chen
Explainable Saliency: Articulating Reasoning with Contextual Prioritization
Nuo Chen, Ming Jiang, Qi Zhao
REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders
Savya Khosla, Sethuraman T V, Barnett Lee et al.
Glance2Gaze: Efficient Vision-Language Models from Glance Fusion to Gaze Compression
Juan Chen, Honglin liu, Yingying Ao et al.
FIGRDock: Fast Interaction-Guided Regression for Flexible Docking
Shikun Feng, Bicheng Lin, Yuanhuan Mo et al.
Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
Yinjie Min, Furong Xu, Xinyao Li et al.
Strategic Hypothesis Testing
Yatong Chen, Safwan Hossain, Yiling Chen
The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
Youssef Chaabouni, David Gamarnik
Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation
Weining Ren, Hongjun Wang, Xiao Tan et al.
Statistics Caching Test-Time Adaptation for Vision-Language Models
Zenghao Guan, Yucan Zhou, Wu Liu et al.
Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
Yijie Liu, Xinyi Shang, Yiqun Zhang et al.
Association-Focused Path Aggregation for Graph Fraud Detection
Tian Qiu, Wenda Li, Zunlei Feng et al.
From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging
Dmitry Lvov, Ilya Pershin
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
Jaehyun Park, Konyul Park, Daehun Kim et al.
SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
Jinhong Deng, Wen Li, Joey Tianyi Zhou et al.
Exposure-slot: Exposure-centric Representations Learning with Slot-in-Slot Attention for Region-aware Exposure Correction
Donggoo Jung, DAEHYUN KIM, Guanghui Wang et al.
A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems
Gokul Rajaraman, Debasish Chatterjee
Zero-Shot Performance Prediction for Probabilistic Scaling Laws
Viktoria Schram, Markus Hiller, Daniel Beck et al.
MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
Lam Ngo, Huong Ha, Jeffrey Chan et al.
Adaptive Latent-Space Constraints in Personalized Federated Learning
Sana Ayromlou, David B. Emerson
Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes
Jumin Han, Jun-Hui Kim, Seong-Whan Lee
RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
Chenxu Niu, Jie Zhang, Yanbing Liu et al.
Explainable Reinforcement Learning from Human Feedback to Improve Alignment
Shicheng Liu, Siyuan Xu, Wenjie Qiu et al.
STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds
Zikuan Li, Honghua Chen, Yuecheng Wang et al.
Shape Abstraction via Marching Differentiable Support Functions
Sunkyung Park, Jeongmin Lee, Dongjun Lee
TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering
Chun Gu, Xiaofei Wei, Li Zhang et al.
Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks
Jiawei Gu, Ziyue Qiao, Zechao Li
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
Lutz Oettershagen, Othon Michail
BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks
Sen Bai, Chunqi Yang, Xin Bai et al.
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
Zixuan Hu, Yongxian Wei, Li Shen et al.
Structure-Aware Correspondence Learning for Relative Pose Estimation
Yihan Chen, Wenfei Yang, Huan Ren et al.
Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image
Junkun Chen, Aayush Bansal, Minh Vo et al.
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Jifeng Hu, Sili Huang, Zhejian Yang et al.
Timely Clinical Diagnosis through Active Test Selection
Silas Ruhrberg Estévez, Nicolás Astorga, Mihaela van der Schaar
VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection
Wuyang Li, Zhu Yu, Alexandre Alahi
NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals
Shuai Huang, Huan Luo, Haodong Jing et al.
Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems
Utkarsh Chavan, Prashant Trivedi, Nandyala Hemachandra
Embodied Cognition Augmented End2End Autonomous Driving
Ling Niu, Xiaoji Zheng, han wang et al.
LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation
Md Mostafijur Rahman, Radu Marculescu
Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities
Yan Zhuang, Minhao Liu, Wei Bai et al.
Tight Bounds for Maximum Weight Matroid Independent Set and Matching in the Zero Communication Model
Ilan Doron-Arad
Irrational Complex Rotations Empower Low-bit Optimizers
Zhen Tian, Xin Zhao, Ji-Rong Wen
TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making
Shanshan Li, Da Huang, Yu He et al.