Most Cited 2025 "personalization method" Papers
22,274 papers found • Page 111 of 112
Conference
InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping
Yunchao Zhang, Guandao Yang, Leonidas Guibas et al.
Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
Jourdain Lamperski, Haeseong Yang, Oleg Prokopyev
DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples
Zhengzhao Pan, Hua Chen, Xiaogang Zhang
Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms?
Yaolong Yu, Fan Yao, Sinno Jialin Pan
Enhancing Visual Localization with Cross-Domain Image Generation
Yuanze Wang, Yichao Yan, Shiming Song et al.
How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
Jun Chen, Hong Chen, Yonghua Yu et al.
Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection
Gengshuo Chang, Wei Zhang, Lehan Zhang
Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features
Feng Ji, Yanan Zhao, KAI ZHAO et al.
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
Zican Hu, Wei Liu, Xiaoye Qu et al.
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
Tianyu Zong, Bingkang Shi, Hongzhu Yi et al.
MTSAM: Multi-Task Fine-Tuning for Segment Anything Model
Xuehao Wang, Zhan ZHUANG, Feiyang YE et al.
BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition
Fei Long, Xiaoou Li, jiaming Lv et al.
Weighted Embeddings for Low-Dimensional Graph Representation
Thomas Bläsius, Jean-Pierre von der Heydt, Maximilian Katzmann et al.
Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness
Qi He, Peiran Yu, Ziyi Chen et al.
Causality Inspired Federated Learning for OOD Generalization
Jiayuan Zhang, Xuefeng Liu, Jianwei Niu et al.
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
Arthur Bizzi, Lucas Nissenbaum, João M. Pereira
Learnability of Parameter-Bounded Bayes Nets
Arnab Bhattacharyya, Davin Choo, Sutanu Gayen et al.
Efficient Heterogeneity-Aware Federated Active Data Selection
Yingpeng Tang, Chao Ren, Xiaoli Tang et al.
VideoGLUE: Video General Understanding Evaluation of Foundation Models
Boqing Gong, Yin Cui, Long Zhao et al.
Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion
Yuanwei Zhang, Fengmiao Bian, Xiaoqun Zhang et al.
Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity
Jian-Feng Cai, Zhuozhi XIAN, Jiaxi Ying
On the Generalization Ability of Next-Token-Prediction Pretraining
Zhihao Li, Xue JIANG, Liyuan Liu et al.
Joker: Joint Optimization Framework for Lightweight Kernel Machines
Junhong Zhang, Zhihui Lai
Quadratic Upper Bound for Boosting Robustness
Euijin You, Hyang-Won Lee
Teaching Models to Improve on Tape
Liat Bezalel, Eyal Orgad, Amir Globerson
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning
Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao et al.
A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
Shih-Hsin Wang, Yuhao Huang, Justin Baker et al.
A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time
Gabriel Bathie, Guillaume Lagarde
Deep-Union Completion
Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcón
Integral Performance Approximation for Continuous-Time Reinforcement Learning Control
Brent Wallace, Jennie Si
Empowering World Models with Reflection for Embodied Video Prediction
Xiaowei Chi, Chun-Kai Fan, Hengyuan Zhang et al.
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity
Hongyan Bao, Pengwen Chen, Ying Sun et al.
RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation
Jia Zhu, Hanghui Guo, Weijie Shi et al.
Can One Modality Model Synergize Training of Other Modality Models?
Jae-Jun Lee, Sung Whan Yoon
PRIME: Deep Imbalanced Regression with Proxies
Jongin Lim, Sucheol Lee, Daeho Um et al.
Divide and Conquer: Learning Label Distribution with Subtasks
Haitao Wu, Weiwei Li, Xiuyi Jia
Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation
Jian Bi, Qianliang Wu, Xiang Li et al.
List Update with Prediction
Yossi Azar, Shahar Lewkowicz, Varun Suriyanarayana
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady
Deep Electromagnetic Structure Design Under Limited Evaluation Budgets
Shijian Zheng, Fangxiao Jin, Shuhai Zhang et al.
Near Optimal Non-asymptotic Sample Complexity of 1-Identification
Zitian Li, Wang Chi Cheung
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data
Bailey Andrew, David R. Westhead, Luisa Cutillo
PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations
Qiang Liu, Huiqiao Fu, Kaiqiang Tang et al.
Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?
Kexin Huang, Junkang Wu, Ziqian Chen et al.
Causal Logistic Bandits with Counterfactual Fairness Constraints
Jiajun Chen, Jin Tian, Chris Quinn
Rethink GraphODE Generalization within Coupled Dynamical System
Guancheng Wan, Zijie Huang, Wanjia Zhao et al.
EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation
Jiawei Cao, Chaochen Gu, Hao Cheng et al.
Low-Rank Thinning
Annabelle Carrell, Albert Gong, Abhishek Shetty et al.
Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning
HyunKyu Lee, Sung Whan Yoon
Identifying Neural Dynamics Using Interventional State Space Models
Amin Nejatbakhsh, Yixin Wang
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance
Antonios Alexos, Ian Domingo, Pierre Baldi
Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
Minqin Zhu, Zexu Sun, Ruoxuan Xiong et al.
Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning
Yiran Wang, Chenshu Liu, Yunfan Li et al.
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation
Hengyuan Hu, Aniket Das, Dorsa Sadigh et al.
ENSUR: Equitable and Statistically Unbiased Recommendation
Nitin Bisht, Xiuwen Gong, Guandong Xu
Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank
Qiyu Zhong, Yi Shan, Haobo Wang et al.
Exponential-Family Harmoniums with Neural Sufficient Statistics
Azwar Abdulsalam, Joseph G. Makin
Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning
Daoming Zong, Chaoyue Ding, Kaitao Chen et al.
Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency
Zexu Sun, Qiyu Han, Hao Yang et al.
An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer
Lifu Liu, Shiyuan He, Jianhua Guo
An Online Learning Approach to Prompt-based Selection of Generative Models and LLMs
Xiaoyan Hu, Ho-fung Leung, Farzan Farnia
W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
Shang Wang
A Theory of Formalisms for Representing Knowledge
Heng Zhang, Guifei Jiang, Donghui Quan
AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation
Xiangyu Qu, Guojing Liu, Liang Li
What Is a Good Question? Assessing Question Quality via Meta-Fact Checking
Bo Zhang, Jianghua Zhu, Chaozhuo Li et al.
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion
Chuhong Yang, Bin Li, Nan Wu
Temporal Conjunctive Query Answering via Rewriting
Lukas Westhofen, Jean Christoph Jung, Daniel Neider
MorphoDiff: Cellular Morphology Painting with Diffusion Models
Zeinab Navidi, Jun Ma, Esteban Miglietta et al.
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
Yajing Wang, Zongwei Luo, Jingzhe Wang et al.
Functional Alignment Can Mislead: Examining Model Stitching
Damian Smith, Harvey Mannering, Antonia Marcu
FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Zhaoxuan Kan, Husheng Han, shangyi shi et al.
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Devdhar Patel, Hava Siegelmann
Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization
Matthew Burns, Qingyuan Hou, Michael Huang
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks
Wentao Wan, Zhuojie Yang, Yongcan Chen et al.
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
Khyathi Chandu, Linjie Li, Anas Awadalla et al.
Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction
Jiao Huang, Qianli Xing, Jinglong Ji et al.
CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning
Xuankun Rong, Jianshu Zhang, Kun He et al.
NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields
Hanqiao Ye, Yuzhou Liu, Yangdong Liu et al.
Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models
Yu Sheng, Linjing Li, Daniel Dajun Zeng
LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation
Li Ding, Hao Zhang, Wenrui Dai et al.
WILTing Trees: Interpreting the Distance Between MPNN Embeddings
Masahiro Negishi, Thomas Gärtner, Pascal Welke
Private Lossless Multiple Release
Joel Daniel Andersson, Lukas Retschmeier, Boel Nelson et al.
MotherNet: Fast Training and Inference via Hyper-Network Transformers
Andreas Mueller, Carlo Curino, Raghu Ramakrishnan
A Variable Occurrence-Centric Framework for Inconsistency Handling
Yakoub Salhi
Directed Graph Grammars for Sequence-based Learning
Michael Sun, Orion Foo, Gang Liu et al.
Shield Synthesis for LTL Modulo Theories
Andoni Rodríguez, Guy Amir, Davide Corsi et al.
Checking Consistency of CP-Theory Preferences in Polynomial Time
Erik Rauer, Samik Basu, Vasant Honavar
Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO*
Ayman Chaouki, Jesse Read, Albert Bifet
SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
Junyou Zhu, Langzhou He, Chao Gao et al.
Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms
Andrea Bertazzi, Tim Johnston, Gareth Roberts et al.
Best of Both Worlds: Regret Minimization versus Minimax Play
Adrian Müller, Jon Schneider, EFSTRATIOS PANTELEIMON SKOULAKIS et al.
A Logical Analysis of Hanabi
Elise Perrotin
Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs
Ryoma Onaka, Kengo Nakamura, Masaaki Nishino et al.
Probabilistic Strategy Logic with Degrees of Observability
Chunyan Mu, Nima Motamed, Natasha Alechina et al.
Consistent Query Answering over Existential Rules with Open and Closed Predicates
Lorenzo Marconi, Riccardo Rosati
Training High Performance Spiking Neural Network by Temporal Model Calibration
Jiaqi Yan, Changping Wang, De Ma et al.
Temporal Specification Optimisation for the Event Calculus
Periklis Mantenoglou, Alexander Artikis
Spectra of Cardinality Queries over Description Logic Knowledge Bases
Quentin Manière, Marcin Przybyłko
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
Kaiyan Zhang, Jiayuan Zhang, Haoxin Li et al.
Gradient Inversion of Multimodal Models
Omri Ben Hemo, Alon Zolfi, Oryan Yehezkel et al.
On Action Theories with Iterable First-Order Progression
Daxin Liu, Jens Claßen
Explicit Discovery of Nonlinear Symmetries from Dynamic Data
Lexiang Hu, Yikang Li, Zhouchen Lin
LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
Xiuyi Jia, Jinchi Li, Yunan Lu et al.
Fair Clustering via Alignment
Kunwoong Kim, Jihu Lee, Sangchul Park et al.
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
Jianyou Wang, Weili Cao, Kaicheng Wang et al.
A Modal Logic for Joint Abilities of Structured Strategies with Bounded Complexity
Ruiqi Jin, Yongmei Liu, Liping Xiong
APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty
Yue Jian, Xiangyu Luo, Zhifei Li et al.
Hybrid Reasoning About Relative Position and Orientation of Objects and Navigating Agents Using Answer Set Programming
Yusuf Izmirlioglu
New Compilation Languages Based on Restricted Weak Decomposability
Petr Illner
What Limits Bidirectional Model's Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning
Zuchao Li, Yonghua Hei, Qiwei Li et al.
On Learning Parallel Pancakes with Mostly Uniform Weights
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar et al.
Editing Memories Through Few Targeted Neurons
Wei Zhou, Wei Wei, Guibang Cao et al.
Learning Partial Graph Matching via Optimal Partial Transport
Gathika Ratnayaka, James Nichols, Qing Wang
A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
Yu Chen, Nathalia Céspedes, Payam Barnaghi
LTLf Synthesis Under Unreliable Input
Christian Hagemeier, Giuseppe de Giacomo, Moshe Y. Vardi
How to Evaluate and Mitigate IP Infringement in Visual Generative AI?
Zhenting Wang, Chen Chen, Vikash Sehwag et al.
CharacterBench: Benchmarking Character Customization of Large Language Models
Jinfeng Zhou, Yongkang Huang, Bosi Wen et al.
On the Logic of Theory Base Change: Reformulation of Belief Bases
Eduardo L. Fermé, Andreas Herzig, Maria Vanina Martinez
Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
Kaito Ariu, Alexandre Proutiere, Se-Young Yun
Better to Teach than to Give: Domain Generalized Semantic Segmentation via Agent Queries with Diffusion Model Guidance
Fan Li, Xuan Wang, Min Qi et al.
Solving Epistemic Logic Programs Using Generate-and-Test with Propagation
Jorge Fandinno, Lute Lillo
Sound Over-Approximation of Equational Reasoning with Variable-Preserving Rules Parameterized by Derivation Depth
Mateus de Oliveira Oliveira
Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space
Zixing Song, Ziqiao Meng, Jose Miguel Hernandez-Lobato
Three-Dimensional Trajectory Prediction with 3DMoTraj Dataset
Hao Zhou, Xu Yang, Mingyu Fan et al.
Continuously Updating Digital Twins using Large Language Models
Harry Amad, Nicolás Astorga, Mihaela van der Schaar
On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness
Junyi Chai, Taeuk Jang, Jing Gao et al.
HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
Yanbei Liu, Chongxu Wang, Zhitao Xiao et al.
How does Watermarking Affect Visual Language Models in Document Understanding?
Chunxue Xu, Yiwei Wang, Bryan Hooi et al.
A Generalization Theory for Zero-Shot Prediction
Ronak Mehta, Zaid Harchaoui
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
Zichen Wang, Chuanhao Li, Huazheng Wang
Controllable Data Generation with Hierarchical Neural Representations
Sheyang Tang, xiaoyu xu, Jiayan Qiu et al.
Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters
Lixin Yuan, Yirui Wu, WENXIAO ZHANG et al.
A Computationally Grounded Framework for Cognitive Attitudes
Tiago de Lima, Emiliano Lorini, Elise Perrotin et al.
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning
Liwen Zheng, Chaozhuo Li, Litian Zhang et al.
Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning
Long Ma, Fangwei Zhong, Yizhou Wang
Situation Calculus Temporally Lifted Abstractions for Generalized Planning
Giuseppe de Giacomo, Yves Lespérance, Matteo Mancanelli
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
Stelios Triantafyllou, Aleksa Sukovic, Yasaman Zolfimoselo et al.
Germane Conflicts: Desirable Properties for Localising Inconsistency
Glauber de Bona, Anthony Hunter
Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases
Gianluca Cima, Marco Console, Roberto Maria Delfino et al.
Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks
Stefano Bistarelli, Victor David, Pierre Monnin et al.
Minimal Change in Modal Logic S5
Carlos Aguilera-Ventura, Jonathan Ben-Naim, Andreas Herzig
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
Peihua Mai, Youlong Ding, Ziyan Lyu et al.
ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning
Sebastian Adam, Thomas Eiter
GMAP: Generalized Manipulation of Articulated Objects in Robotic Using Pre-trained Model
Hongliang Zeng, Ping Zhang, Fang Li et al.
BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays
Wentao Wang, Jiaqian Wang, Yuxin Deng et al.
One-Pass Feature Evolvable Learning with Theoretical Guarantees
Cun-Yuan Xing, Meng-Zhang Qian, Wu-Yang Chen et al.
A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features
Kosuke Sugiyama, Masato Uchida
ML$^2$-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning
Jianqing Liang, Zhiqiang Li, Xinkai Wei et al.
Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks
Xianxu Qiu, Haiming Huang, Weiwei Chen et al.
Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement Constraints
Dolev Mutzari, Yonatan Aumann, Sarit Kraus
Ensemble Learned Bloom Filters: Two Oracles are Better than One
Ming Lin, Lin CHEN
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds
Shuangqi Li, Hieu Le, Jingyi Xu et al.
Logic-Logit: A Logic-Based Approach to Choice Modeling
Shuhan Zhang, Wendi Ren, Shuang Li
Evaluating LLMs on Chinese Idiom Translation
Cai Yang, Yao Dou, David Heineman et al.
Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning
Peida Jia, Xuanheng Li, Tianqiang Zhu et al.
HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
Minjae Jeong, Yechan Hwang, Jaejin Lee et al.
Hybrid Regularization Improves Diffusion-based Inverse Problem Solving
Hongkun Dou, Zeyu Li, Jinyang Du et al.
GNN-Transformer Task Planning Enhanced with Semantic-Driven Data Augmentation
Soojin Jeong, Seongwan Byeon, Sangwoo Kim et al.
Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization
Xingyu Jiang, Ning Gao, Xiuhui Zhang et al.
Curvature Enhanced Data Augmentation for Regression
Ilya Kaufman, Omri Azencot
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning
Gongtao Zhou, Haoran Yu
Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets
Yudong Chen, Xuwei Xu, Frank de Hoog et al.
Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning
Ervine Zheng, Qi Yu
TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
Jaeho Kim, Seulki Lee
Extracting Rare Dependence Patterns via Adaptive Sample Reweighting
Yiqing Li, Yewei Xia, Xiaofei Wang et al.
Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation
Yang Yang, Haonan Xu
On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
Matthew Faw, Constantine Caramanis, Jessica Hoffmann
Learning to Collaborate with Unknown Agents in the Absence of Reward
Zuyuan Zhang, Hanhan Zhou, Mahdi Imani et al.
Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
Armin Kekić, Sergio Hernan Garrido Mejia, Bernhard Schölkopf
CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking
Qiuyun Zhang, Bin Guo, Lina Yao et al.
MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning
Muzhou Yu, Shuyun Lin, Hongwei Yan et al.
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
Walid Durani, Tobias Nitzl, Claudia Plant et al.
Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning
Zhihe Yang, Yunjian Xu, Yang Zhang
Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training
Boyu Liu, Haoyu Huang, Linlin Yang et al.
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs
Glory Rongyu CHEN, Li'an Zhuo, Linlin Yang et al.
SPD Attack - Prevention of AI Powered Image Editing by Image Immunization
Parth Badgujar, Shorya Singhal, Devansh Bhardwaj
An Open-Ended Learning Framework for Opponent Modeling
Yuheng Jing, Kai Li, Bingyun Liu et al.
CodeXEmbed: A Generalist Embedding Model Family for Multilingual and Multi-task Code Retrieval
Ye Liu, Rui Meng, Shafiq Joty et al.
Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning
Hao Wang, Li Xu, Yuntao Yu et al.
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
Xianhan Tan, Yu Qi, Yueming Wang
ELoRA: Low-Rank Adaptation for Equivariant GNNs
Chen Wang, Siyu Hu, Guangming Tan et al.
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
Huahui Yi, Wei Xu, Ziyuan Qin et al.
Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation
Jonghyuk Park, Alex Lascarides, Subramanian Ramamoorthy
PTTA: Purifying Malicious Samples for Test-Time Model Adaptation
Jing Ma, Hanlin Li, Xiang Xiang
Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning
Huaicheng Zhou, Zifeng Zhuang, Donglin Wang
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis
Meng Pang, Houwei Xu, Zheng Huang et al.
Difference-of-submodular Bregman Divergence
Masanari Kimura, Takahiro Kawashima, Tasuku Soma et al.
Fully Dynamic Embedding into $\ell_p$ Spaces
Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi et al.
CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling
Feifei Kou, Jiahao Wang, Lei Shi et al.
Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
Wenxin Tai, Ting Zhong, Goce Trajcevski et al.
Optimal and Efficient Binary Questioning for Accelerated Annotation
Franco Marchesoni-Acland, Jean-Michel Morel, Josselin Kherroubi et al.
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units
Guorui Liao, Chunyuan Zheng, Li Cheng et al.
Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction
Jiyi Li
Flow With What You Know
Scott Hawley
CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
Zelin Xu, Yupu Zhang, Tingsong Xiao et al.
Online Learning in Risk Sensitive constrained MDP
Arnob Ghosh, Mehrdad Moharrami
PiD: Generalized AI-Generated Images Detection with Pixelwise Decomposition Residuals
Xinghe Fu, Zhiyuan Yan, Zheng Yang et al.
Towards Compute-Optimal Many-Shot In-Context Learning
Shahriar Golchin, Yanfei Chen, Rujun Han et al.
Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling
Tianyu Liu, kai sun, Fuchun Sun et al.
Learning from Sample Stability for Deep Clustering
Zhixin Li, Yuheng Jia, Hui LIU et al.