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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

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

Handling Noise in Boolean Matrix Factorization IJCAI 2017 Hard Mixtures of Experts for Large Scale Weakly Supervised Vision CVPR 2017 Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach EMNLP 2017 HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment SemEval 2017 Hidden Layers in Perceptual Learning CVPR 2017 Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery Interspeech 2017 Hierarchical Attentive Recurrent Tracking NeurIPS 2017 Hierarchical Feature Selection with Recursive Regularization IJCAI 2017 Hierarchical LSTMs with Joint Learning for Estimating Customer Satisfaction from Contact Center Calls Interspeech 2017 Hierarchically-Attentive RNN for Album Summarization and Storytelling EMNLP 2017 Hierarchical Reinforcement Learning with Parameters CoRL 2017 High-risk learning: acquiring new word vectors from tiny data EMNLP 2017 Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples NeurIPS 2017 How Robots Learn to Classify New Objects Trained from Small Data Sets CoRL 2017 How Unlabeled Web Videos Help Complex Event Detection? IJCAI 2017 Human Centered NLP with User-Factor Adaptation EMNLP 2017 Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning ACL 2017 Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection EACL 2017 iCaRL: Incremental Classifier and Representation Learning CVPR 2017 Identifying beneficial task relations for multi-task learning in deep neural networks EACL 2017 Identifying Best Interventions through Online Importance Sampling ICML 2017 Identifying civilians killed by police with distantly supervised entity-event extraction EMNLP 2017 Identifying Human Mobility via Trajectory Embeddings IJCAI 2017 Identifying Humor in Reviews using Background Text Sources EMNLP 2017 Identifying Outlier Arms in Multi-Armed Bandit NeurIPS 2017