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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 French Version of the OLDI Seed Corpus EMNLP 2025 Africa Health Check: Probing Cultural Bias in Medical LLMs EMNLP 2025 AFRIDOC-MT: Document-level MT Corpus for African Languages EMNLP 2025 AfroXLMR-Social: Adapting Pre-trained Language Models for African Languages Social Media Text EMNLP 2025 A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025 AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models ACL 2025 A Generalization Theory for Zero-Shot Prediction ICML 2025 A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization IJCAI 2025 A Generalized Theory of Mixup for Structure-Preserving Synthetic Data AISTATS 2025 A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning ACL 2025 A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract) AAAI 2025 Agent-as-Judge for Factual Summarization of Long Narratives EMNLP 2025 AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents ACL 2025 AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning EMNLP 2025 AgentDiagnose: An Open Toolkit for Diagnosing LLM Agent Trajectories EMNLP 2025 AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration ACL 2025 AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization EMNLP 2025 Agentic AI for Digital Twin AAAI 2025 Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems ACL 2025 Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support EMNLP 2025 AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction NAACL 2025 AgentPro: Enhancing LLM Agents with Automated Process Supervision EMNLP 2025 Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents ACL 2025 AgentRM: Enhancing Agent Generalization with Reward Modeling ACL 2025 Agents generalize to novel levels of abstraction by using adaptive linguistic strategies ACL 2025