Most Cited 2025 "occupancy matching" Papers
22,274 papers found • Page 91 of 112
Conference
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa-Bianchi
Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and Harmonization
Kai Mao, Ping Wei, Yiyang Lian et al.
Concept-Guided Interpretability via Neural Chunking
Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik et al.
When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization
Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan et al.
FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
Kaixiang Yang, Xin Li, Yuxi Li et al.
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
Jesimon Barreto, Carlos Caetano, Andre Araujo et al.
Depth-Supervised Fusion Network for Seamless-Free Image Stitching
Zhiying Jiang, Ruhao Yan, Zengxi Zhang et al.
A Signed Graph Approach to Understanding and Mitigating Oversmoothing
Jiaqi Wang, Xinyi Wu, James Cheng et al.
Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
Sascha Xu, Nils Philipp Walter, Jilles Vreeken
PRSformer: Disease Prediction from Million-Scale Individual Genotypes
Payam Dibaeinia, Chris German, Suyash Shringarpure et al.
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
Bailey Trang Nguyen, Parham Saremi, Alan Wang et al.
Learning with Statistical Equality Constraints
Aneesh Barthakur, Luiz Chamon
Text Augmented Correlation Transformer For Few-shot Classification & Segmentation
Srinivasa Rao Nandam, Sara Atito, Zhenhua Feng et al.
Uncertainty-aware Preference Alignment for Diffusion Policies
Runqing Miao, Sheng Xu, Runyi Zhao et al.
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi et al.
Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration
Yan Zhuang, Jiawei Ren, Xiaokang Ye et al.
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
Yu Li, Jin Jiang, Jianhua Zhu et al.
Large Language Models as Model Organisms for Human Associative Learning
Camila Kolling, Vy Vo, Mariya Toneva
TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
Zhichao Zhai, Guikun Chen, Wenguan Wang et al.
All-Day Multi-Camera Multi-Target Tracking
Huijie Fan, Yu Qiao, Yihao Zhen et al.
Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding
Wenbo Chen, Zhen Xu, Ruotao Xu et al.
Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
Kaichen Xu, Yihang Du, Mianpeng Liu et al.
Rectified CFG++ for Flow Based Models
Shreshth Saini, Shashank Gupta, Alan Bovik
Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
Yiheng Lin, Christopher Yeh, Zaiwei Chen et al.
FastJAM: a Fast Joint Alignment Model for Images
Omri Hirsch, Ron Shapira Weber, Shira Ifergane et al.
Compositional Monte Carlo Tree Diffusion for Extendable Planning
Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn
Tree-Based Premise Selection for Lean4
Zichen Wang, Anjie Dong, Zaiwen Wen
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli et al.
Hazy Low-Quality Satellite Video Restoration Via Learning Optimal Joint Degradation Patterns and Continuous-Scale Super-Resolution Reconstruction
Ning Ni, Libao Zhang
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
Yunqi Gao, Bing Hu, Boloursaz Mashhadi et al.
HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference
Inho Jeong, Sunghyeon Woo, Sol Namkung et al.
A Single-Swap Local Search Algorithm for k-Means of Lines
Ting Liang, Xiaoliang Wu, Junyu Huang et al.
ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution
Zeyu Mi, Yu-Bin Yang
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds
Jinfeng Xu, Xianzhi Li, Yuan Tang et al.
Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning
Hua Ye, Siyuan Chen, Haoliang Zhang et al.
All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising
Xiaoling Zhou, Zhemg Lee, Wei Ye et al.
Exploring and Exploiting Model Uncertainty in Bayesian Optimization
Zishi Zhang, Tao Ren, Yijie Peng
DejaVid: Encoder-Agnostic Learned Temporal Matching for Video Classification
Darryl Ho, Samuel Madden
Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation
Qiang Zhang, Mengsheng Zhao, Jiawei Liu et al.
A Focused Human Body Model for Accurate Anthropometric Measurements Extraction
Shuhang Chen, Xianliang Huang, Zhizhou Zhong et al.
On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks
Stephen Obadinma, Xiaodan Zhu
Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution
Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study
Guanlin (Frank) Wu, Boyan Su, Yang Zhao et al.
Anchor-based Maximum Discrepancy for Relative Similarity Testing
Zhijian Zhou, Liuhua Peng, Xunye Tian et al.
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
Yuanzhe Liu, Ryan Deng, Tim Kaler et al.
Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition
Jongseo Lee, Wooil Lee, Gyeong-Moon Park et al.
Tight Asymptotics of Extreme Order Statistics
Matias Romero, Frederik Mallmann-Trenn, Jose Correa
Individually Fair Diversity Maximization
Ruien Li, Yanhao Wang
Parameter Dynamics of Online Machine Learning and Test-time Adaptation
Jae-Hong Lee
Machine Unlearning via Task Simplex Arithmetic
Junhao Dong, Hao Zhu, Yifei Zhang et al.
Be More Specific: Evaluating Object-centric Realism in Synthetic Images
Anqi Liang, Ciprian Adrian Corneanu, Qianli Feng et al.
Differential Privacy on Fully Dynamic Streams
Yuan Qiu, Ke Yi
CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference
Qiyi Wang, Senda Chen, Ying Shen
GPVK-VL: Geometry-Preserving Virtual Keyframes for Visual Localization under Large Viewpoint Changes
Yunxuan Li, Lei Fan, Xiaoying Xing et al.
Online robust locally differentially private learning for nonparametric regression
Chenfei Gu, Qiangqiang Zhang, Ting Li et al.
DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations
Diya Zhang, Mengwei Sun, Xingdan Wang et al.
LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers
Liting Lin, Heng Fan, Zhipeng Zhang et al.
Consistent Story Generation: Unlocking the Potential of Zigzag Sampling
Mingxiao Li, Mang Ning, Marie-Francine Moens
CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers
Yoshihiro Yamada
Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning
Yiwen Zhu, Jinyi Liu, Pengjie Gu et al.
Let a Neural Network be Your Invariant
Mirco Giacobbe, Daniel Kroening, Abhinandan Pal et al.
Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies
Tianxing Man, Yu Bai, Ganyu Wang et al.
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos
Vadim Tschernezki, Diane Larlus, Andrea Vedaldi et al.
EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
Yancheng Zhang, Guangyu Sun, Chen Chen
EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
Zebin Yang, Sunjian Zheng, Tong Xie et al.
Don’t call it privacy-preserving or human-centric pose estimation if you don’t measure privacy
Michele Baldassini, Francesco Pistolesi, Beatrice Lazzerini
SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches
Ehsan Latif, Zirak Khan, Xiaoming Zhai
CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model
Dapeng Zhang, Fei Shen, Rui Zhao et al.
Replicable Distribution Testing
Ilias Diakonikolas, Jingyi Gao, Daniel Kane et al.
Photography Perspective Composition: Towards Aesthetic Perspective Recommendation
Lujian Yao, Siming Zheng, Xinbin Yuan et al.
Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation
Zehui Li, Vallijah Subasri, Yifei Shen et al.
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
Yixiu Mao, Yun Qu, Qi Wang et al.
Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery
Jiyeon Kang, Songseong Kim, Chanhui Lee et al.
Provable Watermarking for Data Poisoning Attacks
Yifan Zhu, Lijia Yu, Xiao-Shan Gao
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
Baixuan Lv, Yaohua Zha, Tao Dai et al.
MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
Guancheng Wan, Fengyuan Ran, Ruikang Zhang et al.
Evolutionary Prediction Games
Eden Saig, Nir Rosenfeld
Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion
Saad Lahlali, Sandra Kara, Hejer AMMAR et al.
Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond
Long Ma, Tengyu Ma, Ziye Li et al.
DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation
Jingyi Tian, Le Wang, Sanping Zhou et al.
Causal Mixture Models: Characterization and Discovery
Sarah Mameche, Janis Kalofolias, Jilles Vreeken
A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
Zhixiao Wu, Yao Lu, Jie Wen et al.
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation
Yuheng Feng, Changsong Wen, Zelin Peng et al.
Learning Gradient Boosted Decision Trees with Algorithmic Recourse
Kentaro Kanamori, Ken Kobayashi, Takuya Takagi
Optimal Graph Clustering without Edge Density Signals
Maximilien Dreveton, Elaine Liu, Matthias Grossglauser et al.
GeoAvatar: Geometrically-Consistent Multi-Person Avatar Reconstruction from Sparse Multi-View Videos
Soohyun Lee, SeoYeon Kim, HeeKyung Lee et al.
Embeddings as Probabilistic Equivalence in Logic Programs
Jaron Maene, Efthymia Tsamoura
Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy
Zesen Cheng, Hang Zhang, Kehan Li et al.
GeoMM: On Geodesic Perspective for Multi-modal Learning
Shibin Mei, Hang Wang, Bingbing Ni
VIKING: Deep variational inference with stochastic projections
Samuel Matthiesen, Hrittik Roy, Nicholas Krämer et al.
STACI: Spatio-Temporal Aleatoric Conformal Inference
Brandon Feng, David Park, Xihaier Luo et al.
WolBanking77: Wolof Banking Speech Intent Classification Dataset
Abdou Karim KANDJI, Frederic Precioso, Cheikh BA et al.
Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning
Shouhang Zhu, Chenglin Li, Yuankun Jiang et al.
Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization
Khanh-Hung (Bruce) Giang-Tran, Soroosh Shafiee, Nam Ho-Nguyen
Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
Haocheng Luo, Mehrtash Harandi, Dinh Phung et al.
Font-Agent: Enhancing Font Understanding with Large Language Models
Yingxin Lai, Cuijie Xu, Haitian Shi et al.
Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models
Junhao Dong, Cong Zhang, Xinghua Qu et al.
Multi-Modal Contrastive Masked Autoencoders: A Two-Stage Progressive Pre-training Approach for RGBD Datasets
Muhammad Abdullah Jamal, Omid Mohareri
Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows
Leslie Hwang
An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph
Tam Le, Truyen Nguyen, Hideitsu Hino et al.
Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting
Jiawei Zhang, Youmin Zhang, Fabio Tosi et al.
Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
Soumita Hait, Ping Li, Haipeng Luo et al.
Linearization Explains Fine-Tuning in Large Language Models
Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian et al.
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
Weixin Chen, Han Zhao
Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
Youjia Zhang, Youngeun Kim, Young-Geun Choi et al.
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
Vinam Arora, Divyansha Lachi, Ian Knight et al.
Optimization Inspired Few-Shot Adaptation for Large Language Models
Boyan Gao, Xin Wang, Yibo Yang et al.
A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization
Hongxu Chen, Ke Wei, Haishan Ye et al.
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation
Yisi Luo, Xile Zhao, Kai Ye et al.
3D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
Chenhui Shi, Fulin Tang, Ning An et al.
SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis
Luojie Huang, Ryan Zhang, Marisa Morakis et al.
DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series
Yifan WANG, Hongfeng Ai, ruiqi li et al.
Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation
Dail Kim, Joon-Hyuk Chang
ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs
Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay et al.
PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors
Sepehr Dehdashtian, Mashrur Mahmud Morshed, Jacob Seidman et al.
FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing
Binrui Shen, LiangYuan, Shengxin Zhu
Language Ranker: A Lightweight Ranking framework for LLM Decoding
Chenheng Zhang, Tianqi Du, Jizhe Zhang et al.
On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
Emmeran Johnson, David Martinez-Rubio, Ciara Pike-Burke et al.
Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis
Bochen Lyu, Xiaojing Zhang, Fangyi Zheng et al.
Neural Correlates of Serial Dependence: Synaptic Short-term Plasticity Orchestrates Repulsion and Attraction
Xiuning Zhang, Xincheng Lu, Nihong Chen et al.
Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization
Weiming Liu, Xinting Liao, Jun Dan et al.
Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
James Chapman, Kedar Karhadkar, Guido Montufar
Greed is Good: A Unifying Perspective on Guided Generation
Zander W. Blasingame, Chen Liu
Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval
Wenhao Li, Yuxin Zhang, Gen Luo et al.
FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning
Da Wang, Yi Ma, Ting Guo et al.
Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
Junkai Zhang, Jinmin He, Yifan Zhang et al.
Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates
Seunghyeok Shin, Dabin Kim, Hongki Lim
In-Context Compositional Learning vis Sparse Coding Transformer
Wei Chen, Jingxi Yu, Zichen Miao et al.
Individual Fairness In Strategic Classification
Zhiqun Zuo, Mohammad Mahdi Khalili
FraPPE: Fast and Efficient Preference-Based Pure Exploration
Udvas Das, Apurv Shukla, Debabrota Basu
SpecEM: Training-Free LLM Ensembling via Iterative Drafting, Verification, and Online Feedback
Bo Lv, Nayu Liu, Chen Tang et al.
SET: Spectral Enhancement for Tiny Object Detection
Huixin Sun, Runqi Wang, Yanjing Li et al.
Buffer layers for Test-Time Adaptation
Hyeongyu Kim, GeonHui Han, Dosik Hwang
Taming Adversarial Constraints in CMDPs
Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni et al.
Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation
Chaohao Yuan, Maoji Wen, Ercan KURUOGLU et al.
Quantitative convergence of trained neural networks to Gaussian processes
Andrea Agazzi, Eloy Mosig García, Dario Trevisan
Illumination Spectrum Estimation for Multispectral Images via Surface Reflectance Modeling and Spatial-Spectral Feature Generation
Hyejin Oh, Woo-Shik Kim, Sangyoon Lee et al.
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
Shaojie Zhang, Ke Chen
Unfolding the Black Box of Recurrent Neural Networks for Path Integration
Tianhao Chu, Yuling Wu, Neil Burgess et al.
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
Yuhong Luo, Austin Hoag, Xintong Wang et al.
MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
Jiaming Ma, Binwu Wang, Qihe Huang et al.
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Muquan Yu, Mu Nan, Hossein Adeli et al.
Scalable inference of functional neural connectivity at submillisecond timescales
Arina Medvedeva, Edoardo Balzani, Alex Williams et al.
Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection
Jianyu Wang, Yu Wang, Shengjie Zhao et al.
Gains: Fine-grained Federated Domain Adaptation in Open Set
Zhengyi Zhong, Wenzheng Jiang, Weidong Bao et al.
K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling
Yongrui Chen, Yi Huang, Yunchang Liu et al.
Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting
Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas et al.
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Tobias Schmidt, Steffen Schneider, Matthias Bethge
Corrector Sampling in Language Models
Itai Gat, Neta Shaul, Uriel Singer et al.
Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game
Keyizhi Xu, Chi Zhang, Zhan Chen et al.
Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics
Xiaotang Wang, Xuanwei Lin, Yun Zhu et al.
ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification
Kaijun Zhou, Xingyu Yan, Xingda Wei et al.
Soft Task-Aware Routing of Experts for Equivariant Representation Learning
Jaebyeong Jeon, Hyunseo Jang, Jy-yong Sohn et al.
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
Songqi Zhou, Zeyuan Liu, Benben Jiang
Analyzing the Power of Chain of Thought through Memorization Capabilities
Lijia Yu, Xiao-Shan Gao, Lijun Zhang
Ultrametric Cluster Hierarchies: I Want ‘em All!
Andrew Draganov, Pascal Weber, Rasmus Jørgensen et al.
NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
Shengyuan Chen, Zheng Yuan, Qinggang Zhang et al.
Interactive Anomaly Detection for Articulated Objects via Motion Anticipation
Ankan Bhunia, Changjian Li, Hakan Bilen
EuroSpeech: A Multilingual Speech Corpus
Samuel Pfisterer, Florian Grötschla, Luca Lanzendörfer et al.
Neural Green’s Functions
Seungwoo Yoo, Kyeongmin Yeo, Jisung Hwang et al.
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models
Weitong Zhang, Chengqi Zang, Bernhard Kainz
ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data
Yifeng Jiao, Yuchen Liu, Yu Zhang et al.
Preserving Task-Relevant Information Under Linear Concept Removal
Floris Holstege, Shauli Ravfogel, Bram Wouters
A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning
Yihuan Mao, Chongjie Zhang
$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
Yize Chen, Zhiyuan Yan, Guangliang Cheng et al.
EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection
Ming Sun, Rui Wang, Zixuan Zhu et al.
PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
Pengyun Yue, Xuanlin Yang, Mingqing Xiao et al.
Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
KunHo Heo, GiHyun Kim, SuYeon Kim et al.
Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning
Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier
Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
Dechen Zhang, Zhenmei Shi, Zhang et al.
Plug-and-play Feature Causality Decomposition for Multimodal Representation Learning
Ye Liu, Zihan Ji, Hongmin Cai
VolFormer: Explore More Comprehensive Cube Interaction for Hyperspectral Image Restoration and Beyond
Dabing Yu, Zheng Gao
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
Chendi Qian, Christopher Morris
Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions
蕾蕾 温, Liwei Zheng, Hongda Li et al.
Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs
Yunfeng Liao, Yangxin Wu, Xiucheng Li
Deep Learning with Plausible Deniability
Wenxuan Bao, Shan Jin, Hadi Abdullah et al.
Enhancing Graph Classification Robustness with Singular Pooling
Sofiane Ennadir, Oleg Smirnov, Yassine ABBAHADDOU et al.
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
Shukai Gong, YIYANG FU, Fengyuan Ran et al.
GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
You Wang, Li Fang, Hao Zhu et al.
Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
Jieyuan (Eric) Zhang, Xiaolong Zhou, Shuai Wang et al.
SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow
Qingyuan Wang, Rui Song, Jiaojiao Li et al.
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
Wenxin Su, Song Tang, Xiaofeng Liu et al.
D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
shurong yang, Dong Wei, Yihuang Hu et al.
Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
Liwei Huang, Zhengyu Ma, Liutao Yu et al.
Sketched Adaptive Distributed Deep Learning: A Sharp Convergence Analysis
Zhijie Chen, Qiaobo Li, Arindam Banerjee
Efficient Adaptive Experimentation with Noncompliance
Miruna Oprescu, Brian Cho, Nathan Kallus
Diffusion Federated Dataset
SEOKJU HAHN, Junghye Lee
Rethinking Personalized Aesthetics Assessment: Employing Physique Aesthetics Assessment as An Exemplification
Haobin Zhong, Shuai He, Anlong Ming et al.
Frequency-Biased Synergistic Design for Image Compression and Compensation
Jiaming Liu, Qi Zheng, Zihao Liu et al.
\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs
Erwan escudie, Matthia Sabatelli, Olivier Buffet et al.
Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
Quntian Fang, Zhen Huang, Zhiliang Tian et al.
UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition
guojun lei, Rong Zhang, Tianhang Liu et al.
Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders
Jiahui Zhang, Wenjie Du, Yang Wang
WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
Hyeokjun Kweon, Kuk-Jin Yoon
FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
Chao Wang, Yixin Song, Jinhui Ye et al.
Offline imitation learning in $Q^\pi$-realizable MDPs without expert realizability
Antoine Moulin, Gergely Neu, Luca Viano
Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies
Jiarui Gan, R Majumdar, Debmalya Mandal et al.
Can Diffusion Models Disentangle? A Theoretical Perspective
Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong et al.
Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity
Kumar Kshitij Patel, Ali Zindari, Sebastian Stich et al.