Most Cited 2025 "masked autoencoder paradigm" Papers

CaMiT: A Time-Aware Car Model Dataset for Classification and Generation

Frédéric Lin, Biruk Abere Ambaw, Adrian Popescu et al.

Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis

Zeqin Yu, Haotao Xie, Jian Zhang et al.

Massive Sound Embedding Benchmark (MSEB)

Georg Heigold, Ehsan Variani, Tom Bagby et al.

OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing

Shreelekha Revankar, Utkarsh Mall, Cheng Perng Phoo et al.

BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction

Yuguang Li, Ivaylo Boyadzhiev, Zixuan Liu et al.

NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes

Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang et al.

HSI-GPT: A General-Purpose Large Scene-Motion-Language Model for Human Scene Interaction

Yuan Wang, Yali Li, Lixiang Li et al.

EVAAA: A Virtual Environment Platform for Essential Variables in Autonomous and Adaptive Agents

Sungwoo Lee, Jungmin Lee, Sohee Kim et al.

DermaCon-IN: A Multiconcept-Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research

Shanawaj Sahebpatel Madarkar, Mahajabeen Madarkar, Madhumitha Venkatesh et al.

TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models

Hsin Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng et al.

DGCBench: A Deep Graph Clustering Benchmark

Benyu Wu, Yue Liu, Qiaoyu Tan et al.

Plug-and-Play Interpretable Responsible Text-to-Image Generation via Dual-Space Multi-facet Concept Control

Basim Azam, Naveed Akhtar

TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising

Jessica Fry, Xinyi Fu, Zhenghao Fu et al.

AGI-Elo: How Far Are We From Mastering A Task?

Shuo Sun, Yimin Zhao, Christina Lee et al.

Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity

Qiyao Wei, Edward R Morrell, Lea Goetz et al.

OffsetOPT: Explicit Surface Reconstruction without Normals

Huan Lei

Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution

Fei Ye, Adrian Bors

COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning

Jules Sintes, Ana Busic

ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction

Ismael Villanueva Miranda, Zifan Gu, Donghan Yang et al.

Active Hyperspectral Imaging Using an Event Camera

Bohan Yu, Jinxiu Liang, Zhuofeng Wang et al.

A Temporal Difference Method for Stochastic Continuous Dynamics

Haruki Settai, Naoya Takeishi, Takehisa Yairi

Torch-Uncertainty: Deep Learning Uncertainty Quantification

Adrien Lafage, Olivier Laurent, Firas Gabetni et al.

FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition

Pragya Singh, Ankush Gupta, Somay Jalan et al.

NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection

Dennis Wagner, Fabian Hartung, Justus Arweiler et al.

Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees

Jiawei Sun, Shuai Zhang, Hongkang Li et al.

STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology

Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Peterson et al.

Quantifying Generalisation in Imitation Learning

Nathan Gavenski, Odinaldo Rodrigues

Automated Proof of Polynomial Inequalities via Reinforcement Learning

Banglong Liu, Niuniu Qi, Xia Zeng et al.

TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video

Finlay Hudson, James Gardner, William Smith

FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning

Dongping Liao, Xitong Gao, Cheng-Zhong Xu

Easy-editable Image Vectorization with Multi-layer Multi-scale Distributed Visual Feature Embedding

Ye Chen, Zhangli Hu, Zhongyin Zhao et al.

MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking

Tianhao Li, Tingfa Xu, Ying Wang et al.

Learning Theory for Kernel Bilevel Optimization

Fares El Khoury, Edouard Pauwels, Samuel Vaiter et al.

ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset

Xu Wang, Jingyuan Zhuo, Zhiyuan You et al.

LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language

Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires et al.

Risk-Averse Total-Reward Reinforcement Learning

Xihong Su, Jia Lin Hau, Gersi Doko et al.

MathArena: Evaluating LLMs on Uncontaminated Math Competitions

Mislav Balunovic, Jasper Dekoninck, Ivo Petrov et al.

Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains

Colin Kohler, Purvik Patel, Nathan Vaska et al.

PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions

TAOTAO JING, Tina Chen, Renran Tian et al.

ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs

Jiale Ma, Wenzheng Pan, Yang Li et al.

Uncertainty-Sensitive Privileged Learning

Fan-Ming Luo, Lei Yuan, Yang Yu

Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields

Gang Wan, Qinlong Lan, Zihan Li et al.

BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model

Ziquan Wei, Tingting Dan, Tianlong Chen et al.

Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game

Tingting Dan, Zhihao Fan, Guorong Wu

Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression

Jie Liu, Tiexin Qin, Hui Liu et al.

Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping

Justin Lazarow, Kai Kang, Afshin Dehghan

RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models

Junda Zhu, Jun Ai, Yujun Li et al.

Distributional LLM-as-a-Judge

Luyu Chen, Zeyu Zhang, Haoran Tan et al.

Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses

Deheng Yuan, Tao Guo, Zhongyi Huang

BOOTPLACE: Bootstrapped Object Placement with Detection Transformers

Hang Zhou, Xinxin Zuo, Rui Ma et al.

Deep Legendre Transform

Aleksey Minabutdinov, Patrick Cheridito

Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams

Donghao Sun, Xi Wang, Xu Yang et al.

Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation

Byunghyun Kim, Minyoung Bae, Jae-Gil Lee

CF-VLM：CounterFactual Vision-Language Fine-tuning

jusheng zhang, Kaitong Cai, Yijia Fan et al.

Learning CAD Modeling Sequences via Projection and Part Awareness

Yang Liu, Daxuan Ren, Yijie Ding et al.

Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding

Anupam Pani, Yanchao Yang

SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction

Chensheng Dai, Shengjun Zhang, Min Chen et al.

Towards a Geometric Understanding of Tensor Learning via the t-Product

Andong Wang, Yuning Qiu, Haonan Huang et al.

Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance

Xiaochen Shang, Pengwei Luo, Xinning Wang et al.

DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models

Longquan Dai, Wu Ming, Dejiao Xue et al.

AniGrad: Anisotropic Gradient-Adaptive Sampling for 3D Reconstruction From Monocular Video

Noah Stier, Alex Rich, Pradeep Sen et al.

CVGL: Causal Learning and Geometric Topology

Songsong Ouyang, Yingying Zhu

Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs

Evangelos Dorovatas, Soroush Seifi, Gunshi Gupta et al.

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding

Kangcong Li, Peng Ye, Chongjun Tu et al.

RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator

SangYong Lee, Sangjun Chung, Simon Woo

No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes

Jasmine Bayrooti, Sattar Vakili, Amanda Prorok et al.

PLD: A Choice-Theoretic List-Wise Knowledge Distillation

Ejafa Bassam, Dawei Zhu, Kaigui Bian

Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching

Ha-Yeong Choi, Sang-Hoon Lee

Shadow Generation Using Diffusion Model with Geometry Prior

Haonan Zhao, Qingyang Liu, Xinhao Tao et al.

Flow Field Reconstruction with Sensor Placement Policy Learning

Ruoyan Li, Guancheng Wan, Zijie Huang et al.

UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation

Chengye Wang, Yuyuan Li, XiaoHua Feng et al.

VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning

Haoran Xu, Peixi Peng, Guang Tan et al.

Learning Multi-Source and Robust Representations for Continual Learning

Fei Ye, Yongcheng Zhong, Qihe Liu et al.

DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking

Mingzhe Guo, Weiping Tan, Wenyu Ran et al.

Spectral Estimation with Free Decompression

Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.

Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules

Tianwei Wang, Xinhui Ma, Wei Pang

CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR

Xugong Qin, peng zhang, Jun Jie Ou Yang et al.

CoUn: Empowering Machine Unlearning via Contrastive Learning

Yasser Khalil, Mehdi Setayesh, Hongliang Li

MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining

Shanglin Liu, Jianming Lv, Jingdan Kang et al.

Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image Captioning

Jeongryong Lee, Yejee Shin, Geonhui Son et al.

Understanding outer learning rates in Local SGD

Ahmed Khaled, Satyen Kale, Arthur Douillard et al.

Path-specific effects for pulse-oximetry guided decisions in critical care

Kevin Zhang, Yonghan Jung, Divyat Mahajan et al.

CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder

Yongmin Lee, Hye Won Chung

Direct Fisher Score Estimation for Likelihood Maximization

Sherman Khoo, Yakun Wang, Song Liu et al.

Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection

Yachao Liang, Min Yu, Gang Li et al.

Bridging Scales: Spectral Theory Reveals How Local Connectivity Rules Sculpt Global Neural Dynamics in Spatially Extended Networks

Yuhan Huang, Keren Gao, Dongping Yang et al.

Adversarial Robustness of Nonparametric Regression

Parsa Moradi, Hanzaleh Nodehi, Mohammad Maddah-Ali

Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning

Haolei Xu, Yuchen Yan, Yongliang Shen et al.

Prediction with expert advice under additive noise

Alankrita Bhatt, Victoria Kostina

RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget

Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang et al.

MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image

Shaoming Li, Qing Cai, Songqi KONG et al.

When Data Can't Meet: Estimating Correlation Across Privacy Barriers

Abhinav Chakraborty, Arnab Auddy, T. Tony Cai

ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators

Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano et al.

RobSense: A Robust Multi-modal Foundation Model for Remote Sensing with Static, Temporal, and Incomplete Data Adaptability

Minh Kha Do, Kang Han, Phu Lai et al.

A Physics-preserved Transfer Learning Method for Differential Equations

Hao-Ran Yang, Chuan-Xian Ren

ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning

Timo Kaufmann, Yannick Metz, Daniel Keim et al.

VLMs can Aggregate Scattered Training Patches

Zhanhui Zhou, Lingjie Chen, Chao Yang et al.

Decoding Causal Structure: End-to-End Mediation Pathways Inference

Yulong Li, Xiwei Liu, feilong tang et al.

Token-Level Self-Play with Importance-Aware Guidance for Large Language Models

Tue Le, Hoang Tran, Quyen Tran et al.

Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy

Leheng Cai, Qirui Hu, Juntao Sun et al.

Structural Causal Bandits under Markov Equivalence

Min Woo Park, Andy Arditi, Elias Bareinboim et al.

Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration

Yunghee Lee, Byeonghyun Pak, Junwha Hong et al.

When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions

Moritz Willig, Tim Woydt, Devendra Singh Dhami et al.

TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE

Jiawen Wei, jiang lan, Pengbo Wei et al.

RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation

Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais et al.

HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis

Zipeng Wang, Dan Xu

Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow

Hanlin Wu, Yuxuan Song, Zhe Zhang et al.

Correlated Low-Rank Adaptation for ConvNets

Wu Ran, Weijia Zhang, ShuYang Pang et al.

Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning

Wei Duan, Jie Lu, Junyu Xuan

A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals

Ziyu Jia, Tingyu Du, Zhengyu Tian et al.

Tree-Sliced Entropy Partial Transport

Viet-Hoang Tran, Thanh Tran, Thanh Chu et al.

Robust Explanations of Graph Neural Networks via Graph Curvatures

Yazheng Liu, Xi Zhang, Sihong Xie et al.

Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning

Wenchang Duan, Yaoliang Yu, Jiwan He et al.

PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models

Junhyuk So, Jiwoong Shin, Chaeyeon Jang et al.

Embedding Principle of Homogeneous Neural Network for Classification Problem

Jiahan Zhang, Yaoyu Zhang, Tao Luo

Gradient-Guided Epsilon Constraint Method for Online Continual Learning

Song Lai, Changyi Ma, Fei Zhu et al.

NoiseCtrl: A Sampling-Algorithm-Agnostic Conditional Generation Method for Diffusion Models

Longquan Dai, He Wang, Jinhui Tang

Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions

Kabir Dabholkar, Omri Barak

Seeing the Wind from a Falling Leaf

Zhiyuan Gao, Jiageng Mao, Hong-Xing "Koven" Yu et al.

Yo’Chameleon: Personalized Vision and Language Generation

Thao Nguyen, Krishna Kumar Singh, Jing Shi et al.

Theoretical Insights into In-context Learning with Unlabeled Data

Yingcong Li, Xiangyu Chang, Muti Kara et al.

Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning

Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu et al.

Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety

Siyuan Xu, Minghui Zhu

Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement

Yunan Lu, Xixi Zhang, Yaojin Lin et al.

Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer

Yufei Guo, Xiaode Liu, Yuanpei Chen et al.

Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models

Omer Moussa, Mariya Toneva

RAPTR: Radar-based 3D Pose Estimation using Transformer

Sorachi Kato, Ryoma Yataka, Pu Wang et al.

PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models

Ruiqi Wang, Dezhong Zhao, Ziqin Yuan et al.

SINR: Sparsity Driven Compressed Implicit Neural Representations

Dhananjaya Jayasundara, Sudarshan Rajagopalan, Yasiru Ranasinghe et al.

MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference

Haibo Tong, Zhaoyang Wang, Zhaorun Chen et al.

IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation

HantingYan Yan, Pan Mu, Shiqi Zhang et al.

Masked Gated Linear Unit

Yukito Tajima, Nakamasa Inoue, Yusuke Sekikawa et al.

FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning

Fan Wu, Xinyu Yan, Jiabei Liu et al.

Memory by accident: a theory of learning as a byproduct of network stabilization

Basile Confavreux, William Dorrell, Nishil Patel et al.

Consistency Conditions for Differentiable Surrogate Losses

Drona Khurana, Anish Thilagar, Dhamma Kimpara et al.

Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP

Yuxin Pan, Zhiguang Cao, Chengyang GU et al.

DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning

Sitong Wu, Haoru Tan, Jingyao Li et al.

Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints

Hyungki Im, Wyame Benslimane, Paul Grigas

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch

Aneeshan Sain, Subhajit Maity, Pinaki Nath Chowdhury et al.

Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF Attack

Nicole Meng, Caleb Manicke, Ronak Sahu et al.

Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework

Hanrui Zhao, Niuniu Qi, Mengxin Ren et al.

Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics

Deep Patel, Emmanouil-Vasileios Vlatakis-Gkaragkounis

Preference-driven Knowledge Distillation for Few-shot Node Classification

Xing Wei, Chunchun Chen, Rui Fan et al.

Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios

Shengju Yu, Pei Zhang, Siwei Wang et al.

Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration

Hongkang Zhang, Shao-Lun Huang, Ercan KURUOGLU et al.

Efficient Fairness-Performance Pareto Front Computation

Mark Kozdoba, Binyamin Perets, Shie Mannor

Eliciting Reasoning in Language Models with Cognitive Tools

Brown Wilfried Ebouky Doualla Dina, Andrea Bartezzaghi, Mattia Rigotti

Personalized Visual Content Generation in Conversational Systems

Xianquan Wang, Zhaocheng Du, Huibo Xu et al.

CheXwhatsApp: A Dataset for Exploring Challenges in the Diagnosis of Chest X-rays through Mobile Devices

Mariamma Antony, Rajiv Porana, Sahil M. Lathiya et al.

Explaining the Law of Supply and Demand via Online Learning

Stratis Skoulakis

Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG

Shihao Yang, Feng Liu

RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching

Wenzhe Ouyang, Qi Ye, Jinghua Wang et al.

DiskVPS: Vanishing Point Detector via Hough Transform in a Disk Region

Jianping Wu

Delving into Large Language Models for Effective Time-Series Anomaly Detection

JUN WOO PARK, Kyudan Jung, Dohyun Lee et al.

Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions

Jihoon Kwon, Kyle Min, Jy-yong Sohn

Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning

Dipam Goswami, Simone Magistri, Kai Wang et al.

Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models

Jun Zhao, Yongzhuo Yang, Xiang Hu et al.

EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights

Zhenghao Xing, Hao Chen, Binzhu Xie et al.

On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation

Liyao Tang, Zhe Chen, Dacheng Tao

Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism

Ziyang Zheng, Kezhi Li, Zhengyuan Shi et al.

Sea-ing in Low-light

Nisha Varghese, A. N. Rajagopalan

Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations

Adrian Hill, Neal McKee, Johannes Maeß et al.

LAL: Enhancing 3D Human Motion Prediction with Latency-aware Auxiliary Learning

Xiaoning Sun, Dong Wei, Huaijiang Sun et al.

EventPSR: Surface Normal and Reflectance Estimation from Photometric Stereo Using an Event Camera

Bohan Yu, Jin Han, Boxin Shi et al.

Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks

Yixuan Xu, Antoine Bosselut, Imanol Schlag

Flick: Empowering Federated Learning with Commonsense Knowledge

Ran Zhu, Mingkun Yang, Shiqiang Wang et al.

MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification

Yingying Feng, Jie Li, Jie Hu et al.

Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective

Weizhong Huang, Yuxin Zhang, Xiawu Zheng et al.

MR. Video: MapReduce as an Effective Principle for Long Video Understanding

Ziqi Pang, Yu-Xiong Wang

Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities

Xi ruida

Structure-from-Motion with a Non-Parametric Camera Model

Yihan Wang, Linfei Pan, Marc Pollefeys et al.

PointTruss: K-Truss for Point Cloud Registration

Yue Wu, Jun Jiang, Yongzhe Yuan et al.

GMM-based VAE model with Normalising Flow for effective stochastic segmentation

Conghui Li, Chern Hong Lim, Xin Wang

A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference

Harsh Parikh, Trang Nguyen, Elizabeth Stuart et al.

VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory

Young-Jae Park, Minseok Seo, Hae-Gon Jeon

SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning

Ren Wang, Haoliang Sun, Yuxiu Lin et al.

Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery

Zekun Wang, Ethan Haarer, Tianyi Zhu et al.

SNAP: Low-Latency Test-Time Adaptation with Sparse Updates

Hyeongheon Cha, Dong Min Kim, Hye Won Chung et al.

Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval

Jian Xiao, Zijie Song, Jialong Hu et al.

RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models

Zukang Xu, Xing Hu, Qiang Wu et al.

ZeroS: Zero‑Sum Linear Attention for Efficient Transformers

Jiecheng Lu, Xu Han, Yan Sun et al.

Faster Generic Identification in Tree-Shaped Structural Causal Models

Yasmine Briefs, Markus Bläser

Bounds on the computational complexity of neurons due to dendritic morphology

Anamika Agrawal, Michael Buice

HEIR: Learning Graph-Based Motion Hierarchies

Cheng Zheng, William Koch, Baiang Li et al.

AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning

Jingjing Zheng, Wanglong Lu, Yiming Dong et al.

Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning

Zijian Gao, Wangwang Jia, Xingxing Zhang et al.

Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies

Vincent Leon, Iosif Sakos, Ryann Sim et al.

Variational Inference with Mixtures of Isotropic Gaussians

Marguerite Petit-Talamon, Marc Lambert, Anna Korba

TF-MAS: Training-free Mamba2 Architecture Search

Yi Fan, Yu-Bin Yang

Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering

Yiming Wang, Qun Li, Dongxia Chang et al.

Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks

Fengmao Lyu, Jitong Lei, Guosheng Lin et al.

Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs

Yifan Zhou, Sachin Grover, Mohamed El Mistiri et al.

Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning

Xiangtao Zhang, Sheng Li, Ao Li et al.

For Better or for Worse, Transformers Seek Patterns for Memorization

Madhur Panwar, Gail Weiss, Navin Goyal et al.

GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters

Wanjia Zhao, Jiaqi Han, Siyi Gu et al.

Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning

Yinhan He, Wendy Zheng, Song Wang et al.

ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling

Xinyu Xiang, Qinglong Yan, HAO ZHANG et al.

Agnostic Continuous-Time Online Learning

Pramith Devulapalli, Changlong Wu, Ananth Grama et al.

KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration

Dengwei Zhao, Shikui Tu, Yanan Sun et al.