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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach AAAI 2025 Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy CVPR 2025 OPTIMUS: Observing Persistent Transformations in Multi-Temporal Unlabeled Satellite-Data WACV 2025 OptiSeq: Ordering Examples On-The-Fly for In-Context Learning EMNLP 2025 Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025 Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection AAAI 2025 OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM ICCV 2025 Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness AISTATS 2025 Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs AISTATS 2025 Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping CVPR 2025 Ordinal Multiple-Instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer WACV 2025 ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities EMNLP 2025 ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization ICLR 2025 Orthogonal Finetuning Made Scalable EMNLP 2025 Orthogonal projection-based regularization for efficient model augmentation L4DC 2025 OseiBrefo-Liang at SemEval-2025 Task 8 : A Multi-Agent LLM code generation approach for answering Tabular Questions SemEval 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning IJCAI 2025 OSINT at GenAI Detection Task 1: Multilingual MGT Detection: Leveraging Cross-Lingual Adaptation for Robust LLMs Text Identification COLING 2025 OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP CVPR 2025 OTCXR: Rethinking Self-Supervised Alignment using Optimal Transport for Chest X-ray Analysis WACV 2025 OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection IJCAI 2025 OUNLP at TSAR 2025 Shared Task Multi-Round Text Simplifier via Code Generation EMNLP 2025 Outlier-Robust Linear System Identification Under Heavy-Tailed Noise L4DC 2025 Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025 Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025