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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)

A Study on Leveraging Search and Self-Feedback for Agent Reasoning ACL 2025 A Survey of Generative Information Extraction COLING 2025 A Survey of RAG-Reasoning Systems in Large Language Models EMNLP 2025 A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 A Survey on Foundation Language Models for Single-cell Biology ACL 2025 A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers EMNLP 2025 A Survey on Patent Analysis: From NLP to Multimodal AI ACL 2025 A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities IJCAI 2025 A Survey on the Feedback Mechanism of LLM-based AI Agents IJCAI 2025 A Survey to Recent Progress Towards Understanding In-Context Learning NAACL 2025 A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection EMNLP 2025 Asymmetric Reinforcing Against Multi-Modal Representation Bias AAAI 2025 Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget UAI 2025 Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning ACML 2025 Asymptotic Extinction in Large Coordination Games AAAI 2025 Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis ICLR 2025 A Systematic Analysis of Base Model Choice for Reward Modeling EMNLP 2025 A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG NAACL 2025 A Systematic Survey of Automatic Prompt Optimization Techniques EMNLP 2025 A Tale of Evaluating Factual Consistency: Case Study on Long Document Summarization Evaluation ACL 2025 A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets CVPR 2025 A Template Is All You Meme NAACL 2025 A Text Embedding Model with Contrastive Example Mining for Point-of-Interest Geocoding COLING 2025 ATGen: A Framework for Active Text Generation ACL 2025 A Theoretical Framework for Evaluating Narrative Surprise in Large Language Models NAACL 2025