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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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Papers (including subtopics)

Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation Interspeech 2021 Segmenting Natural Language Sentences via Lexical Unit Analysis EMNLP 2021 Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision EMNLP 2021 Selecting Informative Contexts Improves Language Model Fine-tuning ACL 2021 Selective Classification via One-Sided Prediction AISTATS 2021 Self-Alignment Pretraining for Biomedical Entity Representations NAACL 2021 Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension EMNLP 2021 Self-Attention Based Text Knowledge Mining for Text Detection CVPR 2021 SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning CVPR 2021 Self-Contextualized Attention for Abusive Language Identification NAACL 2021 Self-correcting Q-learning AAAI 2021 Self-Damaging Contrastive Learning ICML 2021 Self-Distillation for Few-Shot Image Captioning WACV 2021 SelfDoc: Self-Supervised Document Representation Learning CVPR 2021 Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators CVPR 2021 Self-Guided and Cross-Guided Learning for Few-Shot Segmentation CVPR 2021 Self-Guided Contrastive Learning for BERT Sentence Representations ACL 2021 Self-Guided Curriculum Learning for Neural Machine Translation ACL 2021 Self-Improved Retrosynthetic Planning ICML 2021 Self-Improving Semantic Perception for Indoor Localisation CoRL 2021 Self-Knowledge Distillation With Progressive Refinement of Targets ICCV 2021 Self-Paced Context Evaluation for Contextual Reinforcement Learning ICML 2021 Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels NeurIPS 2021 Self-Paced Ensemble Learning for Speech and Audio Classification Interspeech 2021 Self-Point-Flow: Self-Supervised Scene Flow Estimation From Point Clouds With Optimal Transport and Random Walk CVPR 2021