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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)

Self-Supervised Vessel Segmentation via Adversarial Learning ICCV 2021 Self-Supervised Video Action Localization with Adversarial Temporal Transforms IJCAI 2021 Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency CVPR 2021 Self-Supervised Video Hashing via Bidirectional Transformers CVPR 2021 Self-Supervised Video Object Segmentation by Motion Grouping ICCV 2021 Self-Supervised Video Representation Learning by Context and Motion Decoupling CVPR 2021 Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw IJCAI 2021 Self-Supervised Video Representation Learning With Meta-Contrastive Network ICCV 2021 Self-Supervised Visibility Learning for Novel View Synthesis CVPR 2021 Self-Supervised Visual-LiDAR Odometry With Flip Consistency WACV 2021 Self-Supervised Visual Representations Learning by Contrastive Mask Prediction ICCV 2021 Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification CVPR 2021 Self Supervision for Attention Networks WACV 2021 Self Supervision to Distillation for Long-Tailed Visual Recognition ICCV 2021 Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data EMNLP 2021 Self-trained Pretrained Language Models for Evidence Detection EMNLP 2021 Self-training For Few-shot Transfer Across Extreme Task Differences ICLR 2021 Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios NAACL 2021 Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems EMNLP 2021 Self-training Improves Pre-training for Natural Language Understanding NAACL 2021 Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling EACL 2021 Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ACL 2021 Self-Training using Rules of Grammar for Few-Shot NLU EMNLP 2021 Self-training with Few-shot Rationalization EMNLP 2021 Self-Training with Weak Supervision NAACL 2021