Most Cited 2025 "grounded pre-training" Papers
22,274 papers found • Page 99 of 112
Conference
Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization
Zhanhao Liang, Yuhui Yuan, Shuyang Gu et al.
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
Jaekyun Park, Hye Won Chung
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
Pingbang Hu, Joseph Melkonian, Weijing Tang et al.
Federated Multi-armed Bandits with Efficient Bit-Level Communications
Haoran Zhang, Yang Xu, Xuchuang Wang et al.
One for All: Universal Topological Primitive Transfer for Graph Structure Learning
Yide Qiu, Tong Zhang, Xing Cai et al.
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa-Bianchi
VinaBench: Benchmark for Faithful and Consistent Visual Narratives
Silin Gao, Sheryl Mathew, Li Mi 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.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction
Ziyue Zhu, Shenlong Wang, Jin Xie et al.
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.
SOGS: Second-Order Anchor for Advanced 3D Gaussian Splatting
Jiahui Zhang, Fangneng Zhan, Ling Shao 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
Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs
Lucas Ventura, Antoine Yang, Cordelia Schmid et al.
PRSformer: Disease Prediction from Million-Scale Individual Genotypes
Payam Dibaeinia, Chris German, Suyash Shringarpure et al.
Flow-GRPO: Training Flow Matching Models via Online RL
Jie Liu, Gongye Liu, Jiajun Liang 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
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
Yiyang Chen, Tianyu Ding, Lei Wang 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.
Learning Spatial-Aware Manipulation Ordering
Yuxiang Yan, Zhiyuan Zhou, Xin Gao 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
Animate and Sound an Image
Xihua Wang, Ruihua Song, Chongxuan Li et al.
Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
Mingze Dong, Leda Wang, Yuval Kluger
Towards Explainable and Unprecedented Accuracy in Matching Challenging Finger Crease Patterns
Zhenyu Zhou, Chengdong Dong, Ajay Kumar
PERSE: Personalized 3D Generative Avatars from A Single Portrait
Hyunsoo Cha, Inhee Lee, Hanbyul Joo
Sketchy Bounding-box Supervision for 3D Instance Segmentation
qian deng, Le Hui, Jin Xie et al.
Structure-Aware Correspondence Learning for Relative Pose Estimation
Yihan Chen, Wenfei Yang, Huan Ren et al.
Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
Haonan Wang, Hanyu Zhou, Haoyue Liu et al.
PoE-World: Compositional World Modeling with Products of Programmatic Experts
Top Piriyakulkij, Yichao Liang, Hao Tang et al.
Counterfactual reasoning: an analysis of in-context emergence
Moritz Miller, Bernhard Schölkopf, Siyuan Guo
Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
Kaichen Xu, Yihang Du, Mianpeng Liu et al.
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
Wenbin An, Feng Tian, Sicong Leng et al.
Online Learning of Neural Networks
Amit Daniely, Idan Mehalel, Elchanan Mossel
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
SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models
Ye Sun, Hao Zhang, Henghui Ding et al.
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.
RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objects
Soumyaratna Debnath, Ashish Tiwari, Kaustubh Sadekar et al.
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.
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
Chuandong Liu, Xingxing Weng, Shuguo Jiang et al.
Eyes Wide Open: Ego Proactive Video-LLM for Streaming Video
Xueyang Yu, Cheng Shi, Yang Wang et al.
MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios
Yang Shi, Huanqian Wang, Xie et al.
A Single-Swap Local Search Algorithm for k-Means of Lines
Ting Liang, Xiaoliang Wu, Junyu Huang et al.
Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs
Zhangyin Feng, Qianglong Chen, Ning Lu et al.
Learning to Condition: A Neural Heuristic for Scalable MPE Inference
Brij Malhotra, Shivvrat Arya, Tahrima Rahman et al.
Revisiting Audio-Visual Segmentation with Vision-Centric Transformer
Shaofei Huang, Rui Ling, Tianrui Hui et al.
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Vivek Myers, Bill Zheng, Anca Dragan et al.
Less is More: Efficient Image Vectorization with Adaptive Parameterization
Kaibo Zhao, Liang Bao, Yufei Li et al.
Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning
Hua Ye, Siyuan Chen, Haoliang Zhang et al.
Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
Han Wang, Gang Wang, Huan Zhang
Improved Training Technique for Shortcut Models
Anh Nguyen, Viet Nguyen, Duc Vu et al.
Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection
Yu Li, Xingyu Qiu, Yuqian Fu et al.
PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization
Dongkyu Cho, Inwoo Hwang, Sanghack Lee
Similarity-Guided Layer-Adaptive Vision Transformer for UAV Tracking
chaocan xue, Bineng Zhong, Qihua Liang et al.
Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
Vivek Myers, Bill Zheng, Benjamin Eysenbach et al.
Exploring and Exploiting Model Uncertainty in Bayesian Optimization
Zishi Zhang, Tao Ren, Yijie Peng
MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks
WANTONG XIE, Yi-Xiang Hu, Jieyang Xu et al.
Unified Dense Prediction of Video Diffusion
Lehan Yang, Lu Qi, Xiangtai Li et al.
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning
Chaoyang Li, Jianyang Qin, Jinhao Cui et al.
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
Ilgee Hong, Changlong Yu, Liang Qiu et al.
Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation
Yiping Wang, Xuehai He, Kuan Wang et al.
On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks
Stephen Obadinma, Xiaodan Zhu
DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI
Sangmin Lee, Sungyong Park, Heewon Kim
DefMamba: Deformable Visual State Space Model
Leiye Liu, Miao Zhang, Jihao Yin et al.
Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution
Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation
Aleksei Bokhovkin, Quan Meng, Shubham Tulsiani et al.
Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study
Guanlin (Frank) Wu, Boyan Su, Yang Zhao et al.
A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning
Zechen Wu, Amy Greenwald, Ronald Parr
Conditioning Matters: Training Diffusion Policies is Faster Than You Think
Zibin Dong, Yicheng Liu, Yinchuan Li et al.
Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model
Yuyao Wang, Yu-Hung Cheng, Debarghya Mukherjee et al.
Diffusion Models Meet Contextual Bandits
Imad Aouali
Anchor-based Maximum Discrepancy for Relative Similarity Testing
Zhijian Zhou, Liuhua Peng, Xunye Tian et al.
Mask Image Watermarking
Runyi Hu, Jie Zhang, Shiqian Zhao et al.
VideoGEM: Training-free Action Grounding in Videos
Felix Vogel, Walid Bousselham, Anna Kukleva et al.
Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
Viet Anh Khoa Tran, Emre Neftci, Willem Wybo
Streaming Federated Learning with Markovian Data
Khiem HUYNH, Malcolm Egan, Giovanni Neglia et al.
Elastic ViTs from Pretrained Models without Retraining
Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort et al.
CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization
Yichen Yan, Ming Zhong, Qi Zhu et al.
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
Yuanzhe Liu, Ryan Deng, Tim Kaler et al.
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
Kushagra Gupta, Surya Murthy, Mustafa Karabag 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
Efficient Verified Unlearning For Distillation
Yijun Quan, Zushu Li, Giovanni Montana
KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
Rui Peng, Yuchen Lu, Qichen Sun et al.
Individually Fair Diversity Maximization
Ruien Li, Yanhao Wang
Mamba Only Glances Once (MOGO): A Lightweight Framework for Efficient Video Action Detection
Yunqing Liu, Nan Zhang, Fangjun Wang et al.
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.
ProReflow: Progressive Reflow with Decomposed Velocity
Lei Ke, Haohang Xu, Xuefei Ning et al.
Event-Equalized Dense Video Captioning
Kangyi Wu, Pengna Li, Jingwen Fu et al.
Differential Privacy on Fully Dynamic Streams
Yuan Qiu, Ke Yi
SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
Kaiyu Li, Ruixun Liu, Xiangyong Cao et al.
GazeGene: Large-scale Synthetic Gaze Dataset with 3D Eyeball Annotations
Yiwei Bao, Zhiming Wang, Feng Lu
CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference
Qiyi Wang, Senda Chen, Ying Shen
Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection
Jinghao Bian, Mingtao Feng, Weisheng Dong et al.
A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation
Etienne Boursier, Scott Pesme, Radu-Alexandru Dragomir
PRaDA: Projective Radial Distortion Averaging
Daniil Sinitsyn, Linus Härenstam-Nielsen, Daniel Cremers
Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models
Hao Ren, Yiming Zeng, Zetong Bi et al.
AudSemThinker: Enhancing Audio-Language Models Through Reasoning over Semantics of Sound
Gijs Wijngaard, Elia Formisano, Michele Esposito et al.
DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment
Sangwoo Kwon, Seong Hoon Seo, Jae W. Lee et al.
Structure from Collision
Takuhiro Kaneko
Online robust locally differentially private learning for nonparametric regression
Chenfei Gu, Qiangqiang Zhang, Ting Li et al.
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
Tong Bu, Maohua Li, Zhaofei Yu
DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations
Diya Zhang, Mengwei Sun, Xingdan Wang et al.
Language-Guided Salient Object Ranking
Fang Liu, Yuhao Liu, Ke Xu et al.
EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching
Dongki Jung, Jaehoon Choi, Yonghan Lee 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
Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization
You Shen, Zhipeng Zhang, Xinyang Li et al.
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.
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
Ziyang Zhang, Yang Yu, Yucheng Chen et al.
Let a Neural Network be Your Invariant
Mirco Giacobbe, Daniel Kroening, Abhinandan Pal et al.
Image is All You Need to Empower Large-scale Diffusion Models for In-Domain Generation
Pu Cao, Feng Zhou, Lu Yang et al.
Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images
Nan Zhong, Haoyu Chen, Yiran Xu et al.
Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies
Tianxing Man, Yu Bai, Ganyu Wang et al.
S2D-LFE: Sparse-to-Dense Light Field Event Generation
Yutong Liu, Wenming Weng, Yueyi Zhang et al.
Open-Canopy: Towards Very High Resolution Forest Monitoring
Fajwel Fogel, Yohann PERRON, Nikola Besic 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.
Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
Isha Puri, Shivchander Sudalairaj, Guangxuan Xu et al.
Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
Eray Erturk, Maryam Shanechi
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.
G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
Tianxing Chen, Yao Mu, Zhixuan Liang 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
AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation
Sixiang Chen, Jiaming Liu, Siyuan Qian 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
Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation
Yihong Luo, Tianyang Hu, Weijian Luo et al.
DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh
Jingyu Zhuang, Di Kang, Linchao Bao et al.
MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting
jun huang, Ting Liu, Yihang Wu et al.
ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect
Dachong Li, li li, zhuangzhuang chen et al.
GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior
Penghao Wu, Shengnan Ma, Bo Wang et al.
Demystifying Spectral Feature Learning for Instrumental Variable Regression
Dimitri Meunier, Antoine Moulin, Jakub Wornbard et al.
Reversing Flow for Image Restoration
Haina Qin, Wenyang Luo, Bing Li et al.
Missing Data Imputation by Reducing Mutual Information with Rectified Flows
Jiahao Yu, Qizhen Ying, Leyang Wang 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.
PolarNeXt: Rethink Instance Segmentation with Polar Representation
Jiacheng Sun, Xinghong Zhou, Yiqiang Wu et al.
Learning Gradient Boosted Decision Trees with Algorithmic Recourse
Kentaro Kanamori, Ken Kobayashi, Takuya Takagi
Implicit Bias Injection Attacks against Text-to-Image Diffusion Models
Huayang Huang, Xiangye Jin, Jiaxu Miao et al.
Quaffure: Real-Time Quasi-Static Neural Hair Simulation
Tuur Stuyck, Gene Wei-Chin Lin, Egor Larionov et al.
Embeddings as Probabilistic Equivalence in Logic Programs
Jaron Maene, Efthymia Tsamoura
Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret
Yucong Dai, Shilin Gu, Ruidong Fan et al.
4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
Wanhua Li, Renping Zhou, Jiawei Zhou et al.
Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction
Wenke Xia, Ruoxuan Feng, Dong Wang et al.
Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks
Alexander Ratzan, Sidharth Goel, Junhao Wen et al.
VIKING: Deep variational inference with stochastic projections
Samuel Matthiesen, Hrittik Roy, Nicholas Krämer et al.
Superposition Yields Robust Neural Scaling
Yizhou Liu, Ziming Liu, Jeff Gore
STACI: Spatio-Temporal Aleatoric Conformal Inference
Brandon Feng, David Park, Xihaier Luo et al.
Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
Gangwei Xu, Haotong Lin, Hongcheng Luo et al.
ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence
Yuan Sun, Yongxiang Li, Zhenwen Ren et al.
Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
Qiang Wang, Xiang Song, Yuhang He et al.
WolBanking77: Wolof Banking Speech Intent Classification Dataset
Abdou Karim KANDJI, Frederic Precioso, Cheikh BA et al.
Bridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence
Qiyang Qian, Hansheng Chen, Masayoshi Tomizuka et al.
SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model
Chunlin Yu, Hanqing Wang, Ye Shi 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.
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
Duong Nguyen, Nghia Hoang, Thanh Trung Huynh et al.
Asynchronous Collaborative Graph Representation for Frames and Events
Dianze Li, Jianing Li, Xu Liu et al.
Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models
Junhao Dong, Cong Zhang, Xinghua Qu et al.
Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels
Quanjiang Li, Tingjin Luo, Jiahui Liao
Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows
Leslie Hwang
Move-in-2D: 2D-Conditioned Human Motion Generation
Hsin-Ping Huang, Yang Zhou, Jui-Hsien Wang 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.
MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks
Rui Jiao, Hanlin Wu, Wenbing Huang et al.
Linearization Explains Fine-Tuning in Large Language Models
Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian et al.
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
Sayak Nag, Udita Ghosh, Calvin-Khang Ta 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.
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity
Chen Yi Lu, Kasra Derakhshandeh, Somali Chaterji
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.
Hierarchical Adaptive Filtering Network for Text Image Specular Highlight Removal
Zhi Jiang, Jingbo Hu, Ling Zhang et al.
FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis
Jiangtong Tan, Hu Yu, Jie Huang 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.
HERA: Hybrid Explicit Representation for Ultra-Realistic Head Avatars
Hongrui Cai, Yuting Xiao, Xuan Wang et al.
Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation
Dail Kim, Joon-Hyuk Chang