Papers
41,667 papers found
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen, Ankit Shah, Jindong Wang et al.
A Unified Weight Learning Paradigm for Multi-view Learning
Lai Tian, Feiping Nie, Xuelong Li
A Unified Meta-Learning Framework for Dynamic Transfer Learning
Jun Wu, Jingrui He
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee, Michael Laskin, Aravind Srinivas et al.
Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters
Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Yutao Mou, Pei Wang, Keqing He et al.
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment
Lin Zhang, Yong Luo, Yan Bai et al.
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Yanbing Zhou, Xiangmou Qu, Chenlong You et al.
Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning
Chun-Guang Li, Zhouchen Lin, Honggang Zhang et al.
New Bounds for Learning Intervals with Implications for Semi-Supervised Learning
David P. Helmbold, Philip M. Long
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
Wei-Fang Sun, Cheng-Kuang Lee, Simon See et al.
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Scott Fujimoto, Wei-Di Chang, Edward Smith et al.
Learning “O” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER
Ruotian Ma, Xuanting Chen, Zhang Lin et al.
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis
Zhuang Chen, Tieyun Qian
RCL: Reliable Continual Learning for Unified Failure Detection
Fei Zhu, Zhen Cheng, Xu-Yao Zhang et al.
Regularized Primitive Graph Learning for Unified Vector Mapping
Lei Wang, Min Dai, Jianan He et al.
Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection
Heechul Lim, Min-Soo Kim, Hyun-Boo Lee et al.
Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension
Lin Li, Wei Chen, Jiahui Li et al.
EchoGen: Cycle-Consistent Learning for Unified Layout-Image Generation and Understanding
Kai Zou, Hongbo Liu, Dian Zheng et al.
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
Zhiqiang Liu, Yin Hua, Mingyang Chen et al.
FUSE: Fine-Grained and Semantic-Aware Learning for Unified Image Understanding and Generation
Peng Zhang, Wanggui He, Mushui Liu et al.
A Unified Approach for Learning the Parameters of Sum-Product Networks
Han Zhao, Pascal Poupart, Geoffrey J. Gordon
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
Paul Haider, Benjamin Ellenberger, Laura Kriener et al.
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
Bozhen Hu, Cheng Tan, Yongjie Xu et al.
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification
Zixuan Yuan, Hao Liu, Haoyi Zhou et al.