Most Cited NEURIPS "sparse scene representation" Papers

Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection

Yuyang Yu, Zhengwei Chen, Xuemiao Xu et al.

EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale

Yiheng Du, Aditi Krishnapriyan

Differentially Private Relational Learning with Entity-level Privacy Guarantees

Yinan Huang, Haoteng Yin, Eli Chien et al.

Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning

Yanqiao Zhu, Yidan Shi, Yuanzhou Chen et al.

MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling

Yuxi Liu, Renjia Deng, Yutong He et al.

Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning

Lifan Zhao, Yanyan Shen, Zhaoyang Liu et al.

Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks

Heasung Kim, Taekyun Lee, Hyeji Kim et al.

Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation

Shohei Enomoto

Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs

Qi Kuang, Jiayi Wang, Fan Zhou et al.

DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer

Wentao Xu, Huiqiao Fu, Haoyu Dong et al.

Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability

Eline M. Bovy, Caleb Probine, Marnix Suilen et al.

Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling

Shuhong Zheng, Ashkan Mirzaei, Igor Gilitschenski

Near-Optimal Sample Complexity for Online Constrained MDPs

Chang Liu, Yunfan Li, Lin Yang

Simple and Effective Specialized Representations for Fair Classifiers

Alberto Sinigaglia, Davide Sartor, Marina Ceccon et al.

WaLRUS: Wavelets for Long range Representation Using State Space Methods

Hossein Babaei, Mel White, Sina Alemohammad et al.

WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction

shengchuan gao, Shuo Wang, Yabiao Wang et al.

Differentiable Constraint-Based Causal Discovery

Jincheng Zhou, Mengbo Wang, Anqi He et al.

State Size Independent Statistical Error Bound for Discrete Diffusion Models

Shintaro Wakasugi, Taiji Suzuki

Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding

Kaixiang Huang, Qifeng Zhang, Jin Wang et al.

VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture

Maonan Wang, Yirong Chen, Aoyu Pang et al.

Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance

Qiang Zhang, Fanrui Zhang, Jiawei Liu et al.

DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control

Oleksii Furman, Ulvi Movsum-zada, Patryk Marszałek et al.

One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding

Zheyu Zhang, Ziqi Pang, Shixing Chen et al.

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning

Yaxin Hou, Bo Han, Yuheng Jia et al.

Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data

Qijia He, Minghan Wang, Xutong Liu et al.

Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm

Konstantin Makarychev, Ilias Papanikolaou, Liren Shan

Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward

Dipendra Misra, Aldo Pacchiano, Ta-Chung Chi et al.

Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities

Taehyun Hwang, Dahngoon Kim, Min-hwan Oh

StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations

Yanjie Li, Wenxuan Zhang, Xinqi Lyu et al.

Encouraging metric-aware diversity in contrastive representation space

Tianxu Li, Kun Zhu

Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs

Geonho Hwang

Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities

Xihang Qiu, Jiarong Cheng, Yuhao Fang et al.

LILO: Learning to Reason at the Frontier of Learnability

Thomas Foster, Anya Sims, Johannes Forkel et al.

Generalization vs Specialization under Concept Shift

Alex Nguyen, David Schwab, Vudtiwat Ngampruetikorn

Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One

Itamar Avitan, Tal Golan

Unlearning-Aware Minimization

Hoki Kim, Keonwoo Kim, Sungwon Chae et al.

Lyapunov-Stable Adaptive Control for Multimodal Concept Drift

Tianyu Pan, Mengdi Zhu, Alexa Cole et al.

Open-Vocabulary Part Segmentation via Progressive and Boundary-Aware Strategy

Xinlong Li, Di Lin, Shaoyiyi Gao et al.

Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition

Qu Yang, Xiyang Li, Fu Lin et al.

Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing

Eunbyeol Cho, Jiyoun Kim, Minjae Lee et al.

Differentiable Structure Learning and Causal Discovery for General Binary Data

Chang Deng, Bryon Aragam

Uncertainty-Guided Exploration for Efficient AlphaZero Training

Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong et al.

Real-World Reinforcement Learning of Active Perception Behaviors

Edward Hu, Jie Wang, Xingfang Yuan et al.

E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization

Wenpu Li, Bangyan Liao, Yi Zhou et al.

T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning

Julie Mordacq, David Loiseaux, Vicky Kalogeiton et al.

On the Role of Hidden States of Modern Hopfield Network in Transformer

Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design

Jake Callahan, Andrew Chin, Jason Pacheco et al.

Shaping Sequence Attractor Schema in Recurrent Neural Networks

Zhikun Chu, Bo Ho, xiaolong zou et al.

Monotone and Separable Set Functions: Characterizations and Neural Models

Soutrik Sarangi, Yonatan Sverdlov, Nadav Dym et al.

DisMo: Disentangled Motion Representations for Open-World Motion Transfer

Thomas Ressler-Antal, Frank Fundel, Malek Ben Alaya et al.

TopER: Topological Embeddings in Graph Representation Learning

Astrit Tola, Funmilola Mary Taiwo, Cuneyt Akcora et al.

Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting

Ruyi An, haicheng huang, Huangjie Zheng et al.

Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers

Zhuomeng Zhang, Fangqi Li, Hanyi Wang et al.

Exploring and Leveraging Class Vectors for Classifier Editing

Jaeik Kim, Jaeyoung Do

DynaAct: Large Language Model Reasoning with Dynamic Action Spaces

Xueliang Zhao, Wei Wu, Jian Guan et al.

Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap

Shixiang Liu

Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations

Chao Su, Likang Peng, Yuan Sun et al.

Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents

Qianlan Yang, XJ Wang, Danielle Perszyk et al.

Generalized Top-k Mallows Model for Ranked Choices

Shahrzad Haddadan, Sara Ahmadian

Multimodal 3D Genome Pre-training

Minghao Yang, Pengteng Li, Yan Liang et al.

SAGE: A Unified Framework for Generalizable Object State Recognition with State-Action Graph Embedding

Yuan Zang, Zitian Tang, Junho Cho et al.

Can Dependencies Induced by LLM-Agent Workflows Be Trusted?

Yu Yao, Yiliao (Lia) Song, Yian Xie et al.

Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes

WEI-KAI CHANG, Rajiv Khanna

CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs

Gunho Park, Jeongin Bae, Byeongwook Kim et al.

Error Forcing in Recurrent Neural Networks

A Sağtekin, Colin Bredenberg, Cristina Savin

Greedy Sampling Is Provably Efficient For RLHF

Di Wu, Chengshuai Shi, Jing Yang et al.

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction

Tim van Erven, Jack Mayo, Julia Olkhovskaya et al.

Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting

CHENGQI LI, Zhihao Shi, Yangdi Lu et al.

FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning

Zhiqin Yang, Yonggang Zhang, Chenxin Li et al.

Efficient Spectral Control of Partially Observed Linear Dynamical Systems

Anand Brahmbhatt, Gon Buzaglo, Sofiia Druchyna et al.

MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining

Zhixun Chen, Ping Guo, Wenhan Han et al.

Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching

Zhong Li, Qi Huang, Yuxuan Zhu et al.

CHiQPM: Calibrated Hierarchical Interpretable Image Classification

Thomas Norrenbrock, Timo Kaiser, Sovan Biswas et al.

CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop

Weijian Ma, Shizhao Sun, Ruiyu Wang et al.

Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios

David A. R. Robin, Killian Bakong, Kevin Scaman

Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval

Haifan Gong, Xuanye Zhang, Ruifei Zhang et al.

AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts

Denizhan Kara, Tomoyoshi Kimura, Jinyang Li et al.

Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting

Jiaming Ma, Binwu Wang, Guanjun Wang et al.

Contextual Online Pricing with (Biased) Offline Data

Yixuan Zhang, Ruihao Zhu, Qiaomin Xie

Why Popular MOEAs are Popular: Proven Advantages in Approximating the Pareto Front

Mingfeng Li, Qiang Zhang, Weijie Zheng et al.

Discovering Symbolic Partial Differential Equation by Abductive Learning

En-Hao Gao, Cunjing Ge, Yuan Jiang et al.

Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames

Ev Zisselman, Mirco Mutti, Shelly Francis-Meretzki et al.

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL

Tong Yang, Bo Dai, Lin Xiao et al.

VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking

Kichang Yang, Seonjun Kim, Minjae Kim et al.

Exploiting Dynamic Sparsity in Einsum

Christoph Staudt, Mark Blacher, Tim Hoffmann et al.

GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment Anything

Jinxuan Wu, Jiange Wang, Dongdong Zhang

Non-monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting

Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi et al.

Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives

Qixin Zhang, Yan Sun, Can Jin et al.

Learning to Zoom with Anatomical Relations for Medical Structure Detection

Bin Pu, Liwen Wang, Xingbo Dong et al.

4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos

Mengqi Guo, Bo Xu, Yanyan Li et al.

Inference-Time Personalized Alignment with a Few User Preference Queries

Victor-Alexandru Pădurean, Parameswaran Kamalaruban, Nachiket Kotalwar et al.

BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories

Wonjung Park, Suhyun Ahn, Maria Hernandez et al.

Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling

Yufan Li, Pragya Sur

SuperCLIP: CLIP with Simple Classification Supervision

Weiheng Zhao, Zilong Huang, Jiashi Feng et al.

DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition

Donghao Luo, Xue Wang

Non-Line-of-Sight 3D Reconstruction with Radar

Haowen Lai, Zitong Lan, Mingmin Zhao

Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model

Runheng Liu, Heyan Huang, Xingchen Xiao et al.

AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models

Seunghoon Lee, Jeongwoo Choi, Byunggwan Son et al.

Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization

Bo Ling, Zhengyu Gan, Wanyuan Wang et al.

MTRec: Learning to Align with User Preferences via Mental Reward Models

Mengchen Zhao, Yifan Gao, Yaqing Hou et al.

Robust Contextual Pricing

Anupam Gupta, Guru Guruganesh, Renato Leme et al.

Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation

Abdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem et al.

Learning Shared Representations from Unpaired Data

Amitai Yacobi, Nir Ben-Ari, Ronen Talmon et al.

When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses

Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven

Product Distribution Learning with Imperfect Advice

Arnab Bhattacharyya, XianJun, Davin Choo, Philips George John et al.

ZeroPatcher: Training-free Sampler for Video Inpainting and Editing

Shaoshu Yang, Yingya Zhang, Ran He

Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph

Mingxuan Ye, Jie Wang, Fangzhou et al.

Robust and Computation-Aware Gaussian Processes

Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe

Jia Nuo Liew, Shenghan Lin, Bowen Chen et al.

Test Time Scaling for Neural Processes

Hyungi Lee, Moonseok Choi, Hyunsu Kim et al.

Compact Memory for Continual Logistic Regression

Yohan Jung, Hyungi Lee, Wenlong Chen et al.

Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation

Chaeyun Jang, Deukhwan Cho, Seanie Lee et al.

Procurement Auctions with Predictions: Improved Frugality for Facility Location

Eric Balkanski, Nicholas DeFilippis, Vasilis Gkatzelis et al.

Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning

Xingxing Yang, Jie Chen, Zaifeng Yang

Smooth and Flexible Camera Movement Synthesis via Temporal Masked Generative Modeling

Chenghao Xu, guangtao lyu, Jiexi Yan et al.

KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing

Wudi Chen, Zhiyuan Zha, Shigang Wang et al.

Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming

Zhen Zhang, Bingsheng He

VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning

Run Luo, Renke Shan, Longze Chen et al.

On Traceability in $\ell_p$ Stochastic Convex Optimization

Sasha Voitovych, Mahdi Haghifam, Idan Attias et al.

Fairness under Competition

Ronen Gradwohl, Eilam Shapira, Moshe Tennenholtz

Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound

Tal Fiskus, Uri Shaham

AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference

CHE WANG, Ziqi Zhang, Yinggui Wang et al.

Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding

Duy-Tung Pham, An Nguyen The, Viet-Hoang Tran et al.

UniViT: Unifying Image and Video Understanding in One Vision Encoder

feilong tang, xiangan, Haolin Yang et al.

Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations

Shixin Li, Zewei Li, Xiaojing Ma et al.

Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models

Tae-Young Lee, Juwon Seo, Jong Hwan Ko et al.

Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP

Shohei Ohsawa

Online Learning in the Repeated Mediated Newsvendor Problem

Nataša Bolić, Tom Cesari, Roberto Colomboni et al.

Neural Fractional Attention Differential Equations

Qiyu Kang, Wenjun Cui, Xuhao Li et al.

Effective Neural Approximations for Geometric Optimization Problems

Samantha Chen, Oren Ciolli, Anastasios Sidiropoulos et al.

A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection

Gaku Morio, Harri Rowlands, Dominik Stammbach et al.

D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction

Lipei Zhang, Rui Sun, Zhongying Deng et al.

Gaussian-Augmented Physics Simulation and System Identification with Complex Colliders

Federico Vasile, Ri-Zhao Qiu, Lorenzo Natale et al.

Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives

Geng Zhang, Jiangrong Shen, Kaizhong Zheng et al.

Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy

David Dang, Myoung-Gyun Suh, Maodong Gao et al.

ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos

Shi Chen, Erik Sandström, Sandro Lombardi et al.

Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards

Kyungjae Lee, Dohyeong Kim, Taehyun Cho et al.

Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL

Matthew Zurek, Guy Zamir, Yudong Chen

Versatile Transferable Unlearnable Example Generator

Zhihao Li, Jiale Cai, Gezheng Xu et al.

SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization

Tongtong Su, Yun Liao, Fengbo Zheng

GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data

Lubin Bai, Xiuyuan Zhang, Siqi Zhang et al.

Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics

Sean McGrath, Debarghya Mukherjee, Rajarshi Mukherjee et al.

Memory-Efficient Training with In-Place FFT Implementation

XINYU DING, Bangtian Liu, Siyu Liao et al.

TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography

Yiwen Wu, Yuyang Chen, Ye Xia et al.

Less Greedy Equivalence Search

Adiba Ejaz, Elias Bareinboim

Toward Human Deictic Gesture Target Estimation

Xu Cao, Pranav Virupaksha, Sangmin Lee et al.

PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-forward Planar Splatting

Changkun Liu, Bin Tan, Zeran Ke et al.

Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations

Gaia Di Lorenzo, Federico Tombari, Marc Pollefeys et al.

AnimateQR: Bridging Aesthetics and Functionality in Dynamic QR Code Generation

Guangyang Wu, Huayu Zheng, Siqi Luo et al.

Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification

Qingyi Pan, Yicheng Li

Redundancy-Aware Test-Time Graph Out-of-Distribution Detection

Yue Hou, He Zhu, Ruomei Liu et al.

Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets

Shaocong Ma, Heng Huang

Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion

Xi Zhang, Yanyi Li, Yisi Luo et al.

Learning Skill-Attributes for Transferable Assessment in Video

Kumar Ashutosh, Kristen Grauman

MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering

Qiwen Gu, Xufei Wang, Junqiao Zhao et al.

Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation

Linye Li, Yufei Chen, Xiaodong Yue

Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization

Colin Doumont, Victor Picheny, Viacheslav (Slava) Borovitskiy et al.

Statistical Analysis of an Adversarial Bayesian Weak Supervision Method

Steven An

Towards Generalizable Detector for Generated Image

Qianshu Cai, Chao Wu, Yonggang Zhang et al.

SmartCache: Context-aware Semantic Cache for Efficient Multi-turn LLM Inference

Chengye Yu, Tianyu Wang, Zili Shao et al.

LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search

Pengyi Li, Hongyao Tang, Jinbin Qiao et al.

Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs

Jun Wang, Liang Ding, Shuai Wang et al.

Nonlinear Laplacians: Tunable principal component analysis under directional prior information

Yuxin Ma, Dmitriy Kunisky

You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM

Binqian Xu, Haiyang Mei, Zechen Bai et al.

Enhancing Contrastive Learning with Variable Similarity

Haowen Cui, Shuo Chen, Jun Li et al.

S$^2$NN: Sub-bit Spiking Neural Networks

Wenjie Wei, Malu Zhang, Jieyuan (Eric) Zhang et al.

DePass: Unified Feature Attributing by Simple Decomposed Forward Pass

Xiangyu Hong, Che Jiang, Kai Tian et al.

DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning

Runpeng Xie, Quanwei Wang, Hao Hu et al.

Targeted Maximum Likelihood Learning: An Optimization Perspective

Diyang Li, Kyra Gan

Learning Expandable and Adaptable Representations for Continual Learning

Ruilong Yu, Mingyan Liu, Fei Ye et al.

Bio-Inspired Image Restoration

Yuning Cui, Wenqi Ren, Alois Knoll

Towards Accurate Time Series Forecasting via Implicit Decoding

Xinyu Li, Yuchen Luo, Hao Wang et al.

WKV-sharing embraced random shuffle RWKV high-order modeling for pan-sharpening

man zhou, Xuanhua He, Danfeng Hong et al.

Training-free Online Video Step Grounding

Luca Zanella, Massimiliano Mancini, Yiming Wang et al.

Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect

Tom Kouwenhoven, Kiana Shahrasbi, Tessa Verhoef

Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions

Wenyuan Zhao, Adithya Balachandran, Chao Tian et al.

A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study

Yuanchao Dai, Zhengzhang Hou, Changchun Li et al.

Non-Clairvoyant Scheduling with Progress Bars

Ziyad Benomar, Romain Cosson, Alexander Lindermayr et al.

Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.

Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach

Changyeol Lee, Yongho Shin, Hyung-Chan An

Tri-MARF: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation

jusheng zhang, Yijia Fan, Zimo Wen et al.

Rao-Blackwellised Reparameterisation Gradients

Kevin H. Lam, Thang Bui, George Deligiannidis et al.

Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation

Ibuki Maeda, Yao, Atsushi Nitanda

Real-DRL: Teach and Learn in Reality

Yanbing Mao, Yihao Cai, Lui Sha

Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification

Xiaolei Wang, Tianhong Dai, Huihui Bai et al.

UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification

Xixi Wan, AIHUA ZHENG, Bo Jiang et al.

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.

Fairness-aware Bayes Optimal Functional Classification

Xiaoyu Hu, Gengyu Xue, Zhenhua Lin et al.

OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation

Dongjun Hwang, Yejin Kim, Minyoung Lee et al.

Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning

Tianxing Wu, Shutong Zhu, Jingting Wang et al.

Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias

Xinyan Liang, Shuai Li, Qian Guo et al.

AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness

Zhuoqun Huang, Neil Marchant, Olga Ohrimenko et al.

Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation

Yuxuan Zhang, Zhenbo Shi, han ye et al.

Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning

Alex Su, Haozhe Wang, Weiming Ren et al.

Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion

Shaowei Liu, David Yao, Saurabh Gupta et al.

TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks

Itzik Waizman, Yakov Gusakov, Itay Benou et al.

Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection

Min Wang, Hao Yang, Qing Cheng et al.

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation

Zixi Wang, Yushe Cao, Yubo Huang et al.