Most Cited 2025 "action abstraction" Papers

Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition

Anqi Zhu, Jingmin Zhu, James Bailey et al.

CraftsMan3D: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner

Weiyu Li, Jiarui Liu, Hongyu Yan et al.

Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?

Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh et al.

SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection

Haochen Li, Rui Zhang, Hantao Yao et al.

ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects

Woojin Lee, Hyugjae Chang, Jaeho Moon et al.

Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Start

Fuyang Liu, Jiaqi Xu, Xiaowei Hu

Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality

Kyeongwon Lee, Lizhen Lin, Jaewoo Park et al.

SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI

Yuzhou Nie, Zhun Wang, Yu Yang et al.

Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging

Xianrui Li, Yufei Cui, Jun Li et al.

Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning

Dongkwan Lee, JunHoo Lee, Nojun Kwak

Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model

Yicong Chen, Jiahua Rao, Jiancong Xie et al.

Vocabulary-Guided Gait Recognition

Panjian Huang, Saihui Hou, Chunshui Cao et al.

Is Your Diffusion Model Actually Denoising?

Daniel Pfrommer, Zehao Dou, Christopher Scarvelis et al.

Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis

Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt et al.

RF-Agent: Automated Reward Function Design via Language Agent Tree Search

Ning Gao, Xiuhui Zhang, Xingyu Jiang et al.

NeuroRenderedFake: A Challenging Benchmark to Detect Fake Images Generated by Advanced Neural Rendering Methods

Chengdong Dong, B. V. K. Vijaya Kumar, Zhenyu Zhou et al.

Mamba Modulation: On the Length Generalization of Mamba Models

Peng Lu, Jerry Huang, QIUHAO Zeng et al.

Scaling up Image Segmentation across Data and Tasks

Pei Wang, Zhaowei Cai, Hao Yang et al.

Streaming Stochastic Submodular Maximization with On-Demand User Requests

Honglian Wang, Sijing Tu, Lutz Oettershagen et al.

FLAME: Fast Long-context Adaptive Memory for Event-based Vision

Biswadeep Chakraborty, Saibal Mukhopadhyay

The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization

Yihua Zhang, Changsheng Wang, Yiwei Chen et al.

Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits

Shaoang Li, Jian Li

ColabSfM: Collaborative Structure-from-Motion by Point Cloud Registration

Johan Edstedt, André Mateus, Alberto Jaenal

3D Interaction Geometric Pre-training for Molecular Relational Learning

Namkyeong Lee, Yunhak Oh, Heewoong Noh et al.

Can NeRFs "See" without Cameras?

Chaitanya Amballa, Yu-Lin Wei, Sattwik Basu et al.

ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts

Linfeng Tang, Yeda Wang, Zhanchuan Cai et al.

Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute Loss

Ravishankar Evani, Deepu Rajan, Shangbo Mao

Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction

Marzieh Ajirak, Oded Bein, Ellen Bowen et al.

The Indra Representation Hypothesis

Jianglin Lu, Hailing Wang, Kuo Yang et al.

Generalizable Object Keypoint Localization from Generative Priors

Dongkai Wang, Jiang Duan, Liangjian Wen et al.

MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans

Huiyi Wang, Chun Kwang Tan, Balint Hodossy et al.

Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability

Po-Chen Kuo, Han Hou, Will Dabney et al.

Glossy Object Reconstruction with Cost-effective Polarized Acquisition

Bojian Wu, YIFAN PENG, Ruizhen Hu et al.

Towards Universal Dataset Distillation via Task-Driven Diffusion

Ding Qi, Jian Li, Junyao Gao et al.

OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning

Alexandre Oliveira, Katarina Dyreby, Francisco Caldas et al.

On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective

Ning Zhang, Henry Kenlay, Li Zhang et al.

Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning

Gunshi Gupta, Karmesh Yadav, Zsolt Kira et al.

Reward-oriented Causal Representation Learning

Zirui Yan, Emre Acartürk, Ali Tajer

Distribution Learning Meets Graph Structure Sampling

Arnab Bhattacharyya, Sutanu Gayen, Philips George John et al.

PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram

Sifan Zhou, Zhihang Yuan, Dawei Yang et al.

Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond

Feng Zhu, David Simchi-Levi

Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization

Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh et al.

Looking Into the Water by Unsupervised Learning of the Surface Shape

Ori Lifschitz, Tali Treibitz, Dan Rosenbaum

Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization

Chris Kolb, Laetitia Frost, Bernd Bischl et al.

Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models

Qingsong Wang, Zhengchao Wan, Misha Belkin et al.

Private Set Union with Multiple Contributions

Travis Dick, Haim Kaplan, Alex Kulesza et al.

Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective

Wei Feng, Zongyuan Ge

CORAL: Disentangling Latent Representations in Long-Tailed Diffusion

Esther Rodriguez, Monica Welfert, Samuel McDowell et al.

Online Time Series Forecasting with Theoretical Guarantees

Zijian Li, Changze Zhou, Minghao Fu et al.

Two Causally Related Needles in a Video Haystack

Miaoyu Li, Qin Chao, Boyang Li

Dragin3D: Image Editing by Dragging in 3D Space

Weiran Guang, Xiaoguang Gu, Mengqi Huang et al.

Chain of Execution Supervision Promotes General Reasoning in Large Language Models

Nuo Chen, Zehua Li, Keqin Bao et al.

Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data

Ishika Agarwal, Dilek Hakkani-Tur

Near-Exponential Savings for Population Mean Estimation with Active Learning

Julian Morimoto, JACOB GOLDIN, Daniel Ho

Heterogeneous Diffusion Structure Inference for Network Cascade

Siyu Huang, Abdul Basit Adeel, Yubai Yuan

MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation

Weisen Jiang, Sinno Pan

How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning

Max Weltevrede, Moritz Zanger, Matthijs Spaan et al.

A Closed-Form Solution for Fast and Reliable Adaptive Testing

Yan Zhuang, Chenye Ke, Zirui Liu et al.

Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion

Lei Cao, Hao Zhang, Chunyu Li et al.

Decomposing motor units through elimination for real-time intention driven assistive neurotechnology

Nicholas Tacca, Bryan Schlink, Jackson Levine et al.

FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration

Luxi Chen, Zihan Zhou, Min Zhao et al.

Understanding while Exploring: Semantics-driven Active Mapping

Liyan Chen, Huangying Zhan, Hairong Yin et al.

Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks

Matthew Dutson, Nathan Labiosa, Yin Li et al.

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Zinan Lin, Enshu Liu, Xuefei Ning et al.

STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model

Yuang Qi, Na Zhao, Qiyi Yao et al.

Differentiable Cyclic Causal Discovery Under Unmeasured Confounders

Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri

SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation

Yueyang Hu, Haiyong Jiang, Haoxuan Song et al.

Temporal-Difference Variational Continual Learning

Luckeciano Carvalho Melo, Alessandro Abate, Yarin Gal

Abstract Rendering: Certified Rendering Under 3D Semantic Uncertainty

Chenxi Ji, Yangge Li, Xiangru Zhong et al.

The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets

Yatin Dandi, Luca Pesce, Lenka Zdeborová et al.

Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning

Tien Manh Luong, Khai Nguyen, Dinh Phung et al.

ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality

Mingzhi Zhu, Ding Shang, Sai Qian Zhang

PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling

Guilin Li, Yun Zhang, Xiuyuan Chen et al.

Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving

Yuchen Zhang, Hanyue Du, Chun Cao et al.

No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition

Rong Qin, Xin Liu, Xingyu Liu et al.

A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks

Mucong Ding, Bang An, Tahseen Rabbani et al.

Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method

Han Xu, Yuyang Li, Yunfei Deng et al.

Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling

Zhaoyu Zhang, Yang Hua, Guanxiong Sun et al.

Retro-R1: LLM-based Agentic Retrosynthesis

Wei Liu, Jiangtao Feng, Hongli Yu et al.

Random Search Neural Networks for Efficient and Expressive Graph Learning

Michael Ito, Danai Koutra, Jenna Wiens

Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy

Qing Zhao, Weijian Deng, Pengxu Wei et al.

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

Yiheng Du, Aditi Krishnapriyan

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.

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.

Learning to Filter Outlier Edges in Global SfM

Nicole Damblon, Marc Pollefeys, Daniel Barath

WaLRUS: Wavelets for Long range Representation Using State Space Methods

Hossein Babaei, Mel White, Sina Alemohammad et al.

MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis

Yinghao Wu, Shihui Guo, Yipeng Qin

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

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

Maonan Wang, Yirong Chen, Aoyu Pang et al.

SLADE: Shielding against Dual Exploits in Large Vision-Language Models

Md Zarif Hossain, AHMED IMTEAJ

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.

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

Konstantin Makarychev, Ilias Papanikolaou, Liren Shan

A Unified Framework for Heterogeneous Semi-supervised Learning

Marzi Heidari, Abdullah Alchihabi, Hao Yan et al.

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

Yanjie Li, Wenxuan Zhang, Xinqi Lyu et al.

LILO: Learning to Reason at the Frontier of Learnability

Thomas Foster, Anya Sims, Johannes Forkel et al.

Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network

Haifeng Zhang, Qinghui He, Xiuli Bi et al.

Computable universal online learning

Dariusz Kalociński, Tomasz Steifer

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.

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.

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

Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling

Wentao Lu, Dong Nie, Pengcheng Xue et al.

Hiding Images in Diffusion Models by Editing Learned Score Functions

Haoyu Chen, Yunqiao Yang, Nan Zhong et al.

Monotone and Separable Set Functions: Characterizations and Neural Models

Soutrik Sarangi, Yonatan Sverdlov, Nadav Dym 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.

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

Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents

Qianlan Yang, XJ Wang, Danielle Perszyk et al.

A Physics-Informed Blur Learning Framework for Imaging Systems

liqun.chen, Yuxuan Li, Jun Dai 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.

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction

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

HUNet: Homotopy Unfolding Network for Image Compressive Sensing

Feiyang Shen, Hongping Gan

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.

Hierarchical Shortest-Path Graph Kernel Network

Jiaxin Wang, Wenxuan Tu, Jieren Cheng

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

Tong Yang, Bo Dai, Lin Xiao et al.

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

Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi et al.

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

Mengqi Guo, Bo Xu, Yanyan Li 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.

Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization

Bo Ling, Zhengyu Gan, Wanyuan Wang et al.

Robust Contextual Pricing

Anupam Gupta, Guru Guruganesh, Renato Leme 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.

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

Jiayi Guo, Zhao Junhao, Chaoqun Du et al.

Robust and Computation-Aware Gaussian Processes

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.

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

Hyunho Ha, Lei Xiao, Christian Richardt et al.

Smooth and Flexible Camera Movement Synthesis via Temporal Masked Generative Modeling

Chenghao Xu, guangtao lyu, Jiexi Yan et al.

Continuous Space-Time Video Resampling with Invertible Motion Steganography

Yuantong zhang, Zhenzhong Chen

Generative Hard Example Augmentation for Semantic Point Cloud Segmentation

Qi Zhang, Jibin Peng, Zhao Huang et al.

On Traceability in $\ell_p$ Stochastic Convex Optimization

Sasha Voitovych, Mahdi Haghifam, Idan Attias et al.

Focal Split: Untethered Snapshot Depth from Differential Defocus

Junjie Luo, John Mamish, Alan Fu 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.

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.

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

Gaku Morio, Harri Rowlands, Dominik Stammbach et al.

A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains

Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada

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.

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.

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data

Zi Liang, Qingqing Ye, Xuan Liu et al.

Memory-Efficient Training with In-Place FFT Implementation

XINYU DING, Bangtian Liu, Siyu Liao et al.

Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning

Huu Binh Ta, Duc Nguyen, Quyen Tran et al.

Population Normalization for Federated Learning

Zhuoyao Wang, Fan Yi, Peizhu Gong et al.

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

Gaia Di Lorenzo, Federico Tombari, Marc Pollefeys 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.

Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization

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

Safely Learning Controlled Stochastic Dynamics

Luc Brogat-Motte, Alessandro Rudi, Riccardo Bonalli

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.

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

Pay Attention to the Foreground in Object-Centric Learning

Pinzhuo Tian, Shengjie Yang, Hang Yu et al.

Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions

Wenyuan Zhao, Adithya Balachandran, Chao Tian 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.

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

Xixi Wan, AIHUA ZHENG, Bo Jiang 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.

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.

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.

Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation

Yanda Chen, Gongwei Chen, Miao Zhang et al.

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation

Zixi Wang, Yushe Cao, Yubo Huang et al.

Scaling and context steer LLMs along the same computational path as the human brain

Joséphine Raugel, Jérémy Rapin, Stéphane d'Ascoli et al.

ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation

Zidong Cao, Jinjing Zhu, Hao Ai et al.

Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions

Weixin An, Yuanyuan Liu, Fanhua Shang et al.

IEEE Computer Society

Toward Interpretable Evaluation Measures for Time Series Segmentation

Félix Chavelli, Paul Boniol, Michaël Thomazo

MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs

Jan Sobotka, Luca Baroni, Ján Antolík

LMO: Linear Mamba Operator for MRI Reconstruction

Wei Li, jiawei jiang, Jie Wu et al.

Deployment Efficient Reward-Free Exploration with Linear Function Approximation

Zihan Zhang, Yuxin Chen, Jason Lee et al.

Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI

Luca Andolfi, Eleonora Giunchiglia

Dimensional Collapse in VQVAEs: Evidence and Remedies

Jiayou Zhang, Yifan Shen, Guangyi Chen et al.

DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension

Xiaofu Chen, Yaxin Luo, Luo et al.

Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks

Florian Hölzl, Daniel Rueckert, Georgios Kaissis

Leveraging Conditional Dependence for Efficient World Model Denoising

Shaowei Zhang, Jiahan Cao, Dian Cheng et al.