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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)

Learning Dynamic Belief Graphs to Generalize on Text-Based Games NeurIPS 2020 Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification AISTATS 2020 Learning Dynamic Relationships for 3D Human Motion Prediction CVPR 2020 Learning Efficient Dialogue Policy from Demonstrations through Shaping ACL 2020 Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020 Learning Efficient Representations for Fake Speech Detection AAAI 2020 Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations COLING 2020 Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020 Learning Fast Adaptation on Cross-Accented Speech Recognition Interspeech 2020 Learning Fast and Robust Target Models for Video Object Segmentation CVPR 2020 Learning Feature Sparse Principal Subspace NeurIPS 2020 Learning Flat Latent Manifolds with VAEs ICML 2020 Learning for Graph Matching and Related Combinatorial Optimization Problems IJCAI 2020 Learning for Safety-Critical Control with Control Barrier Functions L4DC 2020 Learning from Aggregate Observations NeurIPS 2020 Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality JMLR 2020 Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020 Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020 Learning from Failure: De-biasing Classifier from Biased Classifier NeurIPS 2020 Learning from Label Proportions: A Mutual Contamination Framework NeurIPS 2020 Learning from Label Proportions with Consistency Regularization ACML 2020 Learning From Multi-Dimensional Partial Labels IJCAI 2020 Learning From Noisy Anchors for One-Stage Object Detection CVPR 2020 Learning from Noisy Labels via Discrepant Collaborative Training WACV 2020 Learning from Positive and Unlabeled Data with Arbitrary Positive Shift NeurIPS 2020