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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)

General Uncertainty Estimation with Delta Variances AAAI 2025 Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution ACL 2025 Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery ICCV 2025 Generate, Transduct, Adapt: Iterative Transduction with VLMs ICCV 2025 Generating 3D-Consistent Videos from Unposed Internet Photos CVPR 2025 Generating Complex Question Decompositions in the Face of Distribution Shifts NAACL 2025 Generating Diverse Hypotheses for Inductive Reasoning NAACL 2025 Generating Diverse Training Samples for Relation Extraction with Large Language Models ACL 2025 Generating Financial News Articles from Factors of Stock Price Rise / Decline by LLMs COLING 2025 Generating Fine Details of Entity Interactions EMNLP 2025 Generating Freeform Endoskeletal Robots ICLR 2025 Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques IJCAI 2025 Generating Multi-Image Synthetic Data for Text-to-Image Customization ICCV 2025 Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction ACL 2025 Generating Q&A Benchmarks for RAG Evaluation in Enterprise Settings ACL 2025 Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval AAAI 2025 Generating Synthetic Relational Tabular Data via Structural Causal Models ACL 2025 Generating Tables from the Parametric Knowledge of Language Models NAACL 2025 Generation-Augmented Retrieval: Rethinking the Role of Large Language Models in Zero-Shot Relation Extraction EMNLP 2025 Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints JMLR 2025 Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model ICCV 2025 Generative Adversarial Diffusion ICCV 2025 Generative Agents for Multimodal Controversy Detection IJCAI 2025 Generative Flow Networks for Lead Optimization in Drug Design (Student Abstract) AAAI 2025 Generative FrameNet: Scalable and Adaptive Frames for Interpretable Knowledge Storage and Retrieval for LLMs Powered by LLMs COLING 2025