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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-Learning With Rectification Strategy for Human Parsing CVPR 2020 SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction EMNLP 2020 Self-paced Consensus Clustering with Bipartite Graph IJCAI 2020 Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID NeurIPS 2020 Self-Paced Deep Reinforcement Learning NeurIPS 2020 Self-Paced Learning for Neural Machine Translation EMNLP 2020 Self-paced Multi-view Co-training JMLR 2020 Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data AAAI 2020 Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training ICML 2020 Self-Robust 3D Point Recognition via Gather-Vector Guidance CVPR 2020 Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis CVPR 2020 Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation CoRL 2020 Self-Supervised Adversarial Multi-Task Learning for Vocoder-Based Monaural Speech Enhancement Interspeech 2020 Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs NeurIPS 2020 Self-supervised context-aware COVID-19 document exploration through atlas grounding ACL 2020 Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation Interspeech 2020 Self-supervised Co-Training for Video Representation Learning NeurIPS 2020 Self-Supervised Deep Visual Odometry With Online Adaptation CVPR 2020 Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning CVPR 2020 Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation CVPR 2020 Self-Supervised Few-Shot Learning on Point Clouds NeurIPS 2020 Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification IJCAI 2020 Self-Supervised Graph Transformer on Large-Scale Molecular Data NeurIPS 2020 Self-Supervised Human Depth Estimation From Monocular Videos CVPR 2020 Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering EMNLP 2020