Most Cited 2025 "language-driven classification" Papers

A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization

Hongxu Chen, Ke Wei, Haishan Ye et al.

ReTracker: Exploring Image Matching for Robust Online Any Point Tracking

Dongli Tan, Xingyi He, Sida Peng et al.

Long-Tailed Classification with Multi-Granularity Semantics

Yuting Liu, Liu Yang, Yu Wang

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.

Attention to the Burtiness in Visual Prompt Tuning!

Yuzhu Wang, Manni Duan, Shu Kong

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.

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

Shuo Sun, Yimin Zhao, Christina Lee 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.

GestureHYDRA: Semantic Co-speech Gesture Synthesis via Hybrid Modality Diffusion Transformer and Cascaded-Synchronized Retrieval-Augmented Generation

Quanwei Yang, Luying Huang, Kaisiyuan Wang 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.

MamV2XCalib: V2X-based Target-less Infrastructure Camera Calibration with State Space Model

Yaoye Zhu, Zhe Wang, Yan Wang

Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning

Junkai Zhang, Jinmin He, Yifan Zhang et al.

Highlight What You Want: Weakly-Supervised Instance-Level Controllable Infrared-Visible Image Fusion

Zeyu Wang, Jizheng Zhang, Haiyu Song et al.

Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates

Seunghyeok Shin, Dabin Kim, Hongki Lim

Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy

Yunchuan Guan, Yu Liu, Ke Zhou et al.

An Efficient Hybrid Vision Transformer for TinyML Applications

Fanhong Zeng, Huanan LI, Juntao Guan et al.

DGCBench: A Deep Graph Clustering Benchmark

Benyu Wu, Yue Liu, Qiaoyu Tan et al.

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.

COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition

Ryan Rabinowitz, Steve Cruz, Walter Scheirer 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

Prototype-based Contrastive Learning with Stage-wise Progressive Augmentation for Self-Supervised Fine-Grained Learning

BaoFeng Tan, Xiu-Shen Wei, Lin Zhao

Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference

Yuhong Luo, Austin Hoag, Xintong Wang et al.

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

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

MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling

Jiaming Ma, Binwu Wang, Qihe Huang 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.

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.

Noise-Modeled Diffusion Models for Low-Light Spike Image Restoration

Ruonan Liu, Lin Zhu, Xijie Xiang et al.

Personalized Federated Learning under Local Supervision

Qiqi Liu, Jiaqiang Li, Yuchen Liu et al.

Gains: Fine-grained Federated Domain Adaptation in Open Set

Zhengyi Zhong, Wenzheng Jiang, Weidong Bao et al.

Uncalibrated Structure from Motion on a Sphere

Jonathan Ventura, Viktor Larsson, Fredrik Kahl

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.

To Label or Not to Label: PALM – A Predictive Model for Evaluating Sample Efficiency in Active Learning Models

Julia Machnio, Mads Nielsen, Mostafa Mehdipour Ghazi

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

Sungwoo Lee, Jungmin Lee, Sohee Kim 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

Neuromanifold-Regularized KANs for Shape-fair Feature Representations

Mazlum Arslan, Weihong Guo, Shuo Li

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.

OralXrays-9: Towards Hospital-Scale Panoramic X-ray Anomaly Detection via Personalized Multi-Object Query-Aware Mining

Bingzhi Chen, Sisi Fu, Xiaocheng Fang 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.

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

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing

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

Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning

Dechen Zhang, Zhenmei Shi, Zhang et al.

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

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.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models

Hyun Jun Yook, Ga San Jhun, Cho Hyun 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.

Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes

Sarosij Bose, Arindam Dutta, Sayak Nag et al.

Interpretable Causal Representation Learning for Biological Data in the Pathway Space

Jesus de la Fuente Cedeño, Robert Lehmann, Carlos Ruiz-Arenas 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.

Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning

Linlan Huang, Xusheng Cao, Haori Lu et al.

Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks

Jieyuan (Eric) Zhang, Xiaolong Zhou, Shuai Wang et al.

Registration beyond Points: General Affine Subspace Alignment via Geodesic Distance on Grassmann Manifold

Jaeho Shin, Hyeonjae Gil, Junwoo Jang et al.

Category-Specific Selective Feature Enhancement for Long-Tailed Multi-Label Image Classification

Ruiqi Du, Xu Tang, Xiangrong Zhang et al.

FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning

Huan Wang, Haoran Li, Huaming Chen 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.

Lark: Low-Rank Updates After Knowledge Localization for Few-shot Class-Incremental Learning

Jinxin Shi, Jiabao Zhao, Yifan Yang 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

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment

Jiayi Guo, Zhao Junhao, Chaoqun Du et al.

Geometry-guided Online 3D Video Synthesis with Multi-View Temporal Consistency

Hyunho Ha, Lei Xiao, Christian Richardt et al.

Hierarchical Divide-and-Conquer Grouping for Classification Adaptation of Pre-Trained Models

Ziqian Lu, Yunlong Yu, Qinyue Tong et al.

Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution

Vlad Hosu, Lorenzo Agnolucci, Daisuke Iso et al.

Massive Sound Embedding Benchmark (MSEB)

Georg Heigold, Ehsan Variani, Tom Bagby 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.

Less Static, More Private: Towards Transferable Privacy-Preserving Action Recognition by Generative Decoupled Learning

Zhi-Wei Xia, Kun-Yu Lin, Yuan-Ming Li 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

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.

The Complexity of Finding Local Optima in Contrastive Learning

Jingming Yan, Yiyuan Luo, Vaggos Chatziafratis et al.

Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning

Idan Attias, Steve Hanneke, Arvind Ramaswami

Towards Long-Horizon Vision-Language-Action System: Reasoning, Acting and Memory

Daixun Li, Yusi Zhang, Mingxiang Cao et al.

Stochastic Shortest Path with Sparse Adversarial Costs

Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke et al.

Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models

Xu Yang, Chen Liu, Ying Wei

Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning

Dravyansh Sharma, Alec Sun

Squared families are useful conjugate priors

Russell Tsuchida, Jiawei Liu, Cheng Soon Ong et al.

AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery

Xinzi Cao, Ke Chen, Feidiao Yang et al.

Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning

Weikuo Wang, Yue Liao, Huan Luo

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations

Amir Mehrpanah, Matteo Gamba, Kevin Smith et al.

Graph-based Symbolic Regression with Invariance and Constraint Encoding

Ziyu Xiang, Kenna Ashen, Xiaofeng Qian et al.

Let the LLM Stick to Its Strengths: Learning to Route Economical LLM

Yi-Kai Zhang, Shiyin Lu, Qingguo Chen et al.

Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning

Yibo Zhao, Yang Zhao, Hongru Du et al.

Fix False Transparency by Noise Guided Splatting

Aly El Hakie, Yiren Lu, Yu Yin et al.

When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery

Dominik Meier, Sujai Hiremath, PROMIT GHOSAL et al.

Continuous Space-Time Video Resampling with Invertible Motion Steganography

Yuantong zhang, Zhenzhong Chen

Learning Repetition-Invariant Representations for Polymer Informatics

Yihan Zhu, Gang Liu, Eric Inae et al.

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

Zeqin Yu, Haotao Xie, Jian Zhang et al.

FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning

Woosung Koh, Wonbeen Oh, Siyeol Kim et al.

Estimating Hitting Times Locally at Scale

Themistoklis Haris, Fabian Spaeh, Spyridon Konstantinos Dragazis et al.

Leveraging semantic similarity for experimentation with AI-generated treatments

Lei Shi, David Arbour, Raghavendra Addanki et al.

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

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

LA-MOTR: End-to-End Multi-Object Tracking by Learnable Association

Peng Wang, Yongcai Wang, Hualong Cao et al.

An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation

Uzair Akbar, Niki Kilbertus, Hao Shen et al.

Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings

Raphaël Pellegrin, Lukas Fesser, Melanie Weber

Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era

Feng Lu, Tong Jin, Canming Ye et al.

Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization

Marius Potfer, Vianney Perchet

TransiT: Transient Transformer for Non-line-of-sight Videography

Ruiqian Li, Siyuan Shen, Suan Xia et al.

VisualLens: Personalization through Task-Agnostic Visual History

Wang Bill Zhu, Deqing Fu, Kai Sun et al.

AliO: Output Alignment Matters in Long-Term Time Series Forecasting

Kwangryeol Park, Jaeho Kim, Seulki Lee

LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders

Borna Khodabandeh, Amirabbas Afzali, Amirhossein Afsharrad et al.

Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating

Lilika Makabe, Hiroaki Santo, Fumio Okura et al.

Learning Provably Improves the Convergence of Gradient Descent

Qingyu Song, Wei Lin, Hong Xu

Generative Hard Example Augmentation for Semantic Point Cloud Segmentation

Qi Zhang, Jibin Peng, Zhao Huang et al.

STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization

Fengshuo Bai, Rui Zhao, Hongming Zhang et al.

DGH: Dynamic Gaussian Hair

Junying Wang, Yuanlu Xu, Edith Tretschk et al.

OOD Detection with Relative Angles

Berker Demirel, Marco Fumero, Francesco Locatello

CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing

Anirudh Bindiganavale Harish, Peikun Guo, Bhargav Ghanekar et al.

Focal Split: Untethered Snapshot Depth from Differential Defocus

Junjie Luo, John Mamish, Alan Fu et al.

CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research

Owen Queen, Harrison Zhang, James Zou

Extracting task-relevant preserved dynamics from contrastive aligned neural recordings

Yiqi Jiang, Kaiwen Sheng, Yujia Gao et al.

Integrating Biological Knowledge for Robust Microscopy Image Profiling on De Novo Cell Lines

Jiayuan Chen, Thai-Hoang Pham, Yuanlong Wang et al.

Covariate-moderated Empirical Bayes Matrix Factorization

William Denault, Karl Tayeb, Peter Carbonetto et al.

Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation

Haochen Zhao, Jianwei Niu, Xuefeng Liu et al.

IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer

Zi Yang, Lei Qiu, FANG LYU et al.

A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers

Zhiyuan Wang, Jinwoo Go, Byung-Jun Yoon et al.

AdaDCP: Learning an Adapter with Discrete Cosine Prior for Clear-to-Adverse Domain Generalization

Qi Bi, Yixian Shen, Jingjun Yi et al.

Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning

Wei Huang, Jianshu Zhang, Leiyu Wang et al.

Adaptive Learning of High-Value Regions for Semi-Supervised Medical Image Segmentation

Tao Lei, Ziyao Yang, Xingwu wang et al.

Learning and Planning Multi-Agent Tasks via an MoE-based World Model

Zijie Zhao, Zhongyue Zhao, Kaixuan Xu et al.

MA-CIR: A Multimodal Arithmetic Benchmark for Composed Image Retrieval

Jaeseok Byun, Young Kyun Jang, Seokhyeon Jeong et al.

Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search

Jingyu Li, Pengwen Dai, Mingqing Zhu et al.

CG-SSL: Concept-Guided Self-Supervised Learning

Sara Atito, Josef Kittler, Imran Razzak et al.

Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming

Hongyu Cheng, Amitabh Basu

LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation

Yang Miao, Jan-Nico Zaech, Xi Wang et al.

Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria

Linjian Meng, Youzhi Zhang, Zhenxing Ge et al.

Learning to Clean: Reinforcement Learning for Noisy Label Correction

Marzi Heidari, Hanping Zhang, Yuhong Guo

MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs

Tobias Lorenz, Marta Kwiatkowska, Mario Fritz

Distributional Adversarial Attacks and Training in Deep Hedging

Guangyi He, Tobias Sutter, Lukas Gonon

Calibrating Translation Decoding with Quality Estimation on LLMs

Di Wu, Yibin Lei, Christof Monz

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch

Yijie Liu, Xinyi Shang, Yiqun Zhang et al.

Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding

Daiqing Qi, Dongliang Guo, Hanzhang Yuan et al.

Boundary-to-Region Supervision for Offline Safe Reinforcement Learning

Huikang Su, Dengyun Peng, Zifeng Zhuang et al.

Efficient Bayesian Experiment Design with Equivariant Networks

Conor Igoe, Tejus Gupta, Jeff Schneider

Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement

Derong Kong, Zhixiong Yang, Shengxi Li et al.

MAESTRO: Task-Relevant Optimization via Adaptive Feature Enhancement and Suppression for Multi-task 3D Perception

ChangWon Kang, Jisong Kim, Hongjae Shin et al.

Understanding the Gain from Data Filtering in Multimodal Contrastive Learning

Divyansh Pareek, Sewoong Oh, Simon Du

A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization

Aron Brenner, Rahman Khorramfar, Jennifer Sun et al.

Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation

Muqi Han, Xiaobin Li, Kai Wu et al.

ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training

Xin Yao, Haiyang Zhao, Yimin Chen et al.

Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets

Runhan Shi, Letian Chen, Gufeng Yu et al.

Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres

Walid Durani, Collin Leiber, Khalid Durani et al.

Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning

Hisham Temmar, Yixuan Wang, Nina Gill et al.

MorphoGen: Efficient Unconditional Generation of Long-Range Projection Neuronal Morphology via a Global-to-Local Framework

Tianfang Zhu, Hongyang Zhou, Anan LI

Guiding Diffusion Models with Adaptive Negative Sampling Without External Resources

Alakh Desai, Nuno Vasconcelos

Backdoor Mitigation via Invertible Pruning Masks

Kealan Dunnett, Reza Arablouei, Volkan Dedeoglu et al.

Data-Dependent Regret Bounds for Constrained MABs

Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni et al.

Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders

Samuel V. Singh, Shirley Coyle, Mimi Zhang

Improving Model-Based Reinforcement Learning by Converging to Flatter Minima

Shrinivas Ramasubramanian, Benjamin Freed, Alexandre Capone et al.

PersonaCraft: Personalized and Controllable Full-Body Multi-Human Scene Generation Using Occlusion-Aware 3D-Conditioned Diffusion

Gwanghyun Kim, Suh Jeon Jeon, Seunggyu Lee et al.

IRRISIGHT: A Large-Scale Multimodal Dataset and Scalable Pipeline to Address Irrigation and Water Management in Agriculture

Nibir Chandra Mandal, Oishee Bintey Hoque, Mandy Wilson et al.

GaussianSpeech: Audio-Driven Personalized 3D Gaussian Avatars

Shivangi Aneja, Artem Sevastopolsky, Tobias Kirschstein et al.

NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval

Junchen Li, Rongzheng Wang, Yihong Huang et al.

EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation

Haotian Ling, Zequn Chen, Qiuying Chen et al.

EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction

Hsi-Che Lin, Yu-Chu Yu, Kai-Po Chang et al.