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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Learning to Infer and Execute 3D Shape Programs ICLR 2019 Learning to Infer Program Sketches ICML 2019 Learning to Interpret Satellite Images using Wikipedia IJCAI 2019 Learning to Jointly Generate and Separate Reflections ICCV 2019 Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification EMNLP 2019 Learning to Learn By Self-Critique NeurIPS 2019 Learning to Learn From Noisy Labeled Data CVPR 2019 Learning to Learn Image Classifiers With Visual Analogy CVPR 2019 Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference ICLR 2019 Learning to Localize Objects with Noisy Labeled Instances AAAI 2019 Learning to Make Analogies by Contrasting Abstract Relational Structure ICLR 2019 Learning to Perform Local Rewriting for Combinatorial Optimization NeurIPS 2019 Learning to Plan with Logical Automata RSS 2019 Learning to Predict Novel Noun-Noun Compounds ACL 2019 LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING ICLR 2019 Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision CVPR 2019 Learning to Relate from Captions and Bounding Boxes ACL 2019 Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning CVPR 2019 Learning to Represent Bilingual Dictionaries CoNLL 2019 Learning to request guidance in emergent language EMNLP 2019 Learning to Sample Hard Instances for Graph Algorithms ACML 2019 Learning to Self-Train for Semi-Supervised Few-Shot Classification NeurIPS 2019 Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning Interspeech 2019 Learning to Teach in Cooperative Multiagent Reinforcement Learning AAAI 2019 Learning to Transfer Examples for Partial Domain Adaptation CVPR 2019