Most Cited 2025 "high-speed tracking" Papers
22,274 papers found • Page 97 of 112
Conference
Unveiling Transformer Perception by Exploring Input Manifolds
Alessandro Benfenati, Alfio Ferrara, Alessio Marta et al.
Spectral Learning for Infinite-Horizon Average-Reward POMDPs
Alessio Russo, Alberto Maria Metelli, Marcello Restelli
$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
Ruizhe Liu, Pei Zhou, Qian Luo et al.
Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
Nayel Bettache
Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization
Qi Liu, Xinhao Zheng, Renqiu Xia et al.
Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification
Davide Maran, Csaba Szepesvari
Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings
Ian Christopher Tanoh, Michael Deistler, Jakob H Macke et al.
Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning
Reuben Dorent, Polina Golland, William (Sandy) Wells
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
Hanru Bai, Weiyang Ding, Difan Zou
Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies
Junyu Huang, Qilong Feng, Zhen Zhang et al.
Parsimonious Predictions for Strategyproof Scheduling
Richard Cole, Anupam Gupta, Pranav Jangir
Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization
Xingyu Chen, Bokun Wang, Ming Yang et al.
Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions
Jiyang Xia, Fenghua Ling, Zhenhui Jessie Li et al.
Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation
Changshuo Wang, Shuting He, Xiang Fang et al.
Physics-informed Neural Operator for Pansharpening
Xinyang Liu, Junming Hou, Chenxu Wu et al.
Anatomically inspired digital twins capture hierarchical object representations in visual cortex
Emanuele Luconi, Dario Liscai, Carlo Baldassi et al.
Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models
HongQiong Zhong, Qingyang Teng, Baolin Zheng et al.
Interactive Cross-modal Learning for Text-3D Scene Retrieval
Yanglin Feng, Yongxiang Li, Yuan Sun et al.
Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks
Anushri Arora, Jonathan Pillow
Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration
俊琪 高, Zhichang Guo, Dazhi Zhang et al.
Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
Yao Teng, Fu-Yun Wang, Xian Liu et al.
RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection
Xin Tong, Baojie Tian, Yufei Guo et al.
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
Mélodie Monod, Alessandro Micheli, Samir Bhatt
Accelerating 3D Molecule Generative Models with Trajectory Diagnosis
Zhilong Zhang, Yuxuan Song, Yichun Wang et al.
Learning to Control Free-Form Soft Swimmers
Changyu Hu, Yanke Qu, Qiuan Yang et al.
Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
Alistair Shilton, Sunil Gupta, Santu Rana et al.
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
Yiyuan Pan, Zhe Liu, Hesheng Wang
CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding
Qin Xu, Qihang Wu, Lu Hongtao et al.
Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
Yang Chen, Yirun Zhou, Weizhong Zhang et al.
Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control
Georgios Papoudakis, Thomas Coste, Jianye Hao et al.
BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
Xiaobin Liu, Jianing Li, Baiwei Guo et al.
Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing
Daniele Baieri, Filippo Maggioli, Emanuele Rodolà et al.
Online Portfolio Selection with ML Predictions
Ziliang Zhang, Tianming Zhao, Albert Zomaya
Normalize Filters! Classical Wisdom for Deep Vision
Gustavo Perez, Stella X. Yu
Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text
Zhange Zhang, Zhicheng Geng, Yuqing Ma et al.
Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction
Samuel Li, Pujith Kachana, Prajwal Chidananda et al.
Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
Yuyang Huang, Yabo Chen, Junyu Zhou et al.
GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy
Kailai Li, Jiong Lou, Jiawei Sun et al.
You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
Hanyang Li, Yuheng Jia, Hui LIU et al.
In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning
Chao Li, Bingkun BAO, Yang Gao
A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond
Yipeng Li, Xinchen Lyu, Zhenyu Liu
Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark
Zengxi Zhang, Junchen Ge, Zhiying Jiang et al.
Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models
Hai Yan, Haijian Ma, Xiaowen Cai et al.
Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection
Jinyu Cai, Yuan Xie, Glynnis Lim et al.
Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
Baoyi He, Luotian Yuan, Ying Wei et al.
ToF-IP: Time-of-Flight Enhanced Sparse Inertial Poser for Real-time Human Motion Capture
Yuan Yao, Shifan Jiang, Yangqing Hou et al.
Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
Menghao Zhang, Huazheng Wang, Pengfei Ren et al.
Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning
Jiayu Zhang, Changbang Li, Yinan Peng et al.
How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets
Marie-Charlotte Brandenburg, Katharina Jochemko
Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction
Junhong Shen, Hao Bai, Lunjun Zhang et al.
SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
Zenan Ying, Zhi Zheng, huijun hou et al.
SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment
QiXu, Dongxu Wei, Lingzhe Zhao et al.
Towards the Resistance of Neural Network Fingerprinting to Fine-tuning
Ling Tang, YueFeng Chen, Hui Xue' et al.
An Effective Levelling Paradigm for Unlabeled Scenarios
Fangming Cui, Zhou Yu, Di Yang et al.
FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction
Jiang Lin, Xinyu Chen, Song Wu et al.
Proxy-SPEX: Sample-Efficient Interpretability via Sparse Feature Interactions in LLMs
Landon Butler, Abhineet Agarwal, Justin Kang et al.
Policy Optimized Text-to-Image Pipeline Design
Uri Gadot, Rinon Gal, Yftah Ziser et al.
A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
Yassine ABBAHADDOU, Amine Aboussalah
GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design
Hanqun Cao, Haosen Shi, Chenyu Wang et al.
Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention
Haijing Liu, Zhiyuan Song, Hefeng Wu et al.
High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
Maojiang Su, Jerry Yao-Chieh Hu, Yi-Chen Lee et al.
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
Xu Cai, Yang Wu, Qianli Chen et al.
Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation
Kang Zhang, Trung X. Pham, Suyeon Lee et al.
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
Zeqi Ye, Minshuo Chen
CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning
Jun Wang, Fuyuan CAO, ZhixinXue et al.
Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
Fuyuan CAO, Shichang Qiao, Kui Yu et al.
KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis
Jeongho Park, Daheen Kim, Cheoljun Kim et al.
ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
Chuanchao Zang, Xiangtao Meng, Wenyu Chen et al.
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
Yutong Feng, Xu Liu, Yutong Xia et al.
Compress Large Language Models via Collaboration Between Learning and Matrix Approximation
Yuesen Liao, Zhiwei Li, Binrui Wu et al.
Self-Assembling Graph Perceptrons
Jialong Chen, Tong Wang, Bowen Deng et al.
Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer
Qiannan Zhang, Manqi Zhou, Zilong Bai et al.
Gaze Beyond the Frame: Forecasting Egocentric 3D Visual Span
Heeseung Yun, Joonil Na, Jaeyeon Kim et al.
UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
Jigang Fan, Quanlin Wu, Shengjie Luo et al.
GenIR: Generative Visual Feedback for Mental Image Retrieval
Diji Yang, Minghao Liu, Chung-Hsiang Lo et al.
UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems
Dian Meng, Zhiguang Cao, Jie Gao et al.
Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
Jindi Lv, Yuhao Zhou, Mingjia Shi et al.
Text to Sketch Generation with Multi-Styles
Tengjie Li, Shikui Tu, Lei Xu
QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
Jincheol Yang, Jaemin Choi, Matti Zinke et al.
Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation
Zhen Zhang, Prof Javen Qinfeng Shi, Wee Sun Lee
GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs
Amir Ghazizadeh, Rickard Ewetz, Hao Zheng
Vector Database Watermarking
Zhiwen Ren, Wei Fan, Qiyi Yao et al.
SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering
Zeyu Zhu, KE LIANG, Lingyuan Meng et al.
Polyline Path Masked Attention for Vision Transformer
Zhongchen Zhao, Chaodong Xiao, Hui LIN et al.
P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
Tingjia Shen, Hao Wang, Chuhan Wu et al.
Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models
Haidong Kang, Lihong Lin, Hanling Wang
Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones
Ke Li, Yan Ding, Zhiqin Zhu et al.
Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments
Jiahui Wang, Chao Chen, Jiacheng Xu et al.
SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning
Xinbin Yuan, Jian Zhang, Kaixin Li et al.
Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians
Xingyu Liu, Pengfei Ren, Qi Qi et al.
Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis
Jianqi Feng, Chengchun Shi, Zhenke Wu et al.
Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
Jiawei Gu, Yidi Wang, Qingqiang Sun et al.
LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization
Zhenpeng Huang, Jiaqi Li, zihan jia et al.
LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification
Zhiqi Pang, Lingling Zhao, Junjie Wang et al.
No Experts, No Problem: Avoidance Learning from Bad Demonstrations
Huy Hoang, Tien Mai, Pradeep Varakantham
Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
Shuli Zhang, Hao Zhou, Jiaqi Zheng et al.
Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery
Qinglong Hu, Qingfu Zhang
Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
Xueqing Sun, Renzhen Wang, Quanziang Wang et al.
Personalized Federated Conformal Prediction with Localization
Yinjie Min, Chuchen Zhang, Liuhua Peng et al.
Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
Xin Ma, Yifan Wang, Siyu Yi et al.
Dynamic Gaussian Splatting from Defocused and Motion-blurred Monocular Videos
Xuankai Zhang, Junjin Xiao, Qing Zhang
Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
Wenxiao Wu, Jing-Hao Xue, Chengming Xu et al.
GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection
Jiaming Li, Zhijia Liang, Weikai Chen et al.
Hybrid Re-matching for Continual Learning with Parameter-Efficient Tuning
Weicheng Wang, Guoli Jia, Xialei Liu et al.
Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems
Elfarouk Harb, Yousef Yassin, Chandra Chekuri
NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input
Wenbo Li, Yan Xu, Mingde Yao et al.
Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets
Zhiyuan Zhou, Yueming Yin, Yiming Yang et al.
A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances
Zichong Wang, Zhipeng Yin, Wenbin Zhang
MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization
Da Chang, Ganzhao Yuan
EyeBench: Predictive Modeling from Eye Movements in Reading
Omer Shubi, David Robert Reich, Keren Gruteke Klein et al.
HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning
Guancheng Wan, Xiaoran Shang, Yuxin Wu et al.
Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding
Qian Ma, Ruoxiang Xu, Yongqiang Cai
Multi-agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game
Rong Ye, Yongxin Zhang, yikai zhang et al.
TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs
Yuxiang Zhang, Zhengxu Yu, Weihang Pan et al.
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
Haoqi Wu, Wei Dai, Ming Xu et al.
Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers
florence regol, Joseph Cotnareanu, Theodore Glavas et al.
Rethinking the Role of Verbatim Memorization in LLM Privacy
Tom Sander, Bargav Jayaraman, Mark Ibrahim et al.
Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation
Yidong Wu, Siyuan Chen, Binrui Wu et al.
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe et al.
LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas
Yun Hua, Shang Gao, Wenhao Li et al.
CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs
Zhiyuan Ning, Jiawei Shao, Ruge Xu et al.
Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation
Feichen Gan, Lu Youcun, Yingying Zhang et al.
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
Runze Ma, Zhongyue Zhang, Zichen Wang et al.
Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions
Zeyu Wang, Yidan Song, Shihao Qin et al.
IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs
Zhaoqun Li, Beishui Liao, Qiwei Ye
Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models
Lei Liu, Xingyu Xia, Qianqian Xie et al.
Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding
Kaixiang Huang, Qifeng Zhang, Jin Wang et al.
Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
Qiang Zhang, Fanrui Zhang, Jiawei Liu et al.
Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs
Geonho Hwang
AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
Denizhan Kara, Tomoyoshi Kimura, Jinyang Li et al.
AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference
CHE WANG, Ziqi Zhang, Yinggui Wang et al.
Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives
Geng Zhang, Jiangrong Shen, Kaizhong Zheng et al.
SmartCache: Context-aware Semantic Cache for Efficient Multi-turn LLM Inference
Chengye Yu, Tianyu Wang, Zili Shao et al.
Targeted Maximum Likelihood Learning: An Optimization Perspective
Diyang Li, Kyra Gan
Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
Ruoyu Feng, Yunpeng Qi, Jinming Liu et al.
Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
Zitong Shi, Guancheng Wan, Haixin Wang et al.
Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation
Yuxuan Zhang, Zhenbo Shi, han ye et al.
Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation
Wenbin An, Jiahao Nie, Feng Tian et al.
FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis
xichen xu, Yanshu Wang, Jinbao Wang et al.
CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
Yifei Zhang, Hao Zhu, Junhao Dong et al.
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
Xin Gao, Jiyao Liu, Guanghao Li et al.
SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning
Chen Chen, Majid Abdolshah, Violetta Shevchenko et al.
Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
Jiawei Huang, Minming Li, Hu Ding
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
Jiaqi Wang, Zhiguang Cao, Peng Zhao et al.
Problem-Parameter-Free Decentralized Bilevel Optimization
Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang
Robust Regression of General ReLUs with Queries
Ilias Diakonikolas, Daniel Kane, Mingchen Ma
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
Yanwei Ren, Haotian Zhang, Fuxiang Wu et al.
Social World Model-Augmented Mechanism Design Policy Learning
Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma et al.
Regional Explanations: Bridging Local and Global Variable Importance
Salim I. Amoukou, Nicolas Brunel
SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation
Chenyang Le, Bing Han, Jinshun Li et al.
DUO: No Compromise to Accuracy Degradation
Jinda Jia, Cong Xie, Hanlin Lu et al.
Understanding Bias Terms in Neural Representations
Weixiang Zhang, Boxi Li, Shuzhao Xie et al.
Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
James Cheshire, Yann Issartel
Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
Jingmin Zhu, Anqi Zhu, Hossein Rahmani et al.
Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection
Yuxi Liu, Min Liu, Shuai Jiang et al.
DIFFSSR: Stereo Image Super-resolution Using Differential Transformer
Dafeng Zhang
Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
Kai Hu, Zhang Yu, Yuan Zhang et al.
VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers
Qinkai XU, yijin liu, YangChen et al.
CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
Yuena Lin, Hao Wei, Hai-Chun Cai et al.
Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
Xiangyu Wen, Min Li, Junhua Huang et al.
Computation and Memory-Efficient Model Compression with Gradient Reweighting
Zhiwei Li, Yuesen Liao, Binrui Wu et al.
Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning
Fei Ye, Yulong Zhao, Qihe Liu et al.
Sparse Optimistic Information Directed Sampling
Ludovic Schwartz, Hamish Flynn, Gergely Neu
PlanU: Large Language Model Reasoning through Planning under Uncertainty
Ziwei Deng, Mian Deng, Chenjing Liang et al.
Automated Model Discovery via Multi-modal & Multi-step Pipeline
Lee Jung-Mok, Nam Hyeon-Woo, Moon Ye-Bin et al.
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Shikuang Deng, Jiayuan Zhang, Yuhang Wu et al.
Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework
Chenghu Du, Shengwu Xiong, junyin Wang et al.
Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers
Thomas Klein, Sascha Meyen, Wieland Brendel et al.
Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve
Jingxuan Wang, Zhongke Wu, Wang et al.
Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
Vasiliki Tassopoulou, Charis Stamouli, Haochang Shou et al.
Accelerating Model-Free Optimization via Averaging of Cost Samples
Guido Carnevale, Giuseppe Notarstefano
LaViDa: A Large Diffusion Model for Vision-Language Understanding
Shufan Li, Konstantinos Kallidromitis, Hritik Bansal et al.
DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models
Komal Kumar, Rao Anwer, Fahad Shahbaz Khan et al.
Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics
Sungwoo Park
Metritocracy: Representative Metrics for Lite Benchmarks
Ariel Procaccia, Ben Schiffer, Serena Wang et al.
Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
Zhangqi Jiang, Tingjin Luo, Xu Yang et al.
ComRank: Ranking Loss for Multi-Label Complementary Label Learning
Jing-Yi Zhu, Yi Gao, Miao Xu et al.
DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation
Jiahui Wang, Changhao Chen
$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
Lin Zhu, Yifeng Yang, Xinbing Wang et al.
FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation
Fan Yang, Yousong Zhu, Xin Li et al.
Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields
Xixian Liu, Rui Jiao, ZHIYUAN LIU et al.
DSCS: Fast CPDAG-Based Verification of Collapsible Submodels in High-Dimensional Bayesian Networks
Wentao Wu, Shiyuan He, Jianhua Guo
Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
Zhibin Gu, weili wang
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel et al.
On the Sample Complexity of Differentially Private Policy Optimization
Yi He, Xingyu Zhou
Ascent Fails to Forget
Ioannis Mavrothalassitis, Pol Puigdemont, Noam Levi et al.
Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
Junxi Chen, Liang Li, Yunbin Tu et al.
NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses
Jing Wen, Alex Schwing, Shenlong Wang
Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
Xiaohui Wang, Peng Ye, Chenyu Huang et al.
AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents
Yichen Wang, Hangtao Zhang, Hewen Pan et al.
GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion
Jiayi Tian, Haiduo Huang, Tian Xia et al.
Elastic Robust Unlearning of Specific Knowledge in Large Language Models
Yize Sui, Jing Ren, Wenjing Yang et al.
From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography
RUOFAN LIU, YICHEN PENG, Takanori Oku et al.
End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs
Xuelin Shen, Haifeng Jiao, Yitong Wang et al.
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
Taejong Joo, Diego Klabjan
ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On
Yuhan Li, Zhiyu Jin, Yifan Tong et al.
A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models
Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany et al.
Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization
Jiaqi Wei, Hao Zhou, Xiang Zhang et al.
Relieving the Over-Aggregating Effect in Graph Transformers
Junshu Sun, Wanxing Chang, Chenxue Yang et al.
Statistical Inference for Decentralized Federated Learning
Jia Gu, Songxi Chen