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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)

Active Speakers in Context CVPR 2020 Active Structure Learning of Causal DAGs via Directed Clique Trees NeurIPS 2020 Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction EMNLP 2020 ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data AAAI 2020 Active Vision for Early Recognition of Human Actions CVPR 2020 Active World Model Learning with Progress Curiosity ICML 2020 Actor Critic Deep Reinforcement Learning for Neural Malware Control AAAI 2020 AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss CVPR 2020 AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning AAAI 2020 Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor Identification ACL 2020 Adapting Stable Matchings to Evolving Preferences AAAI 2020 Adapting to Misspecification in Contextual Bandits NeurIPS 2020 Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning AAAI 2020 Adaptive Adversarial Multi-task Representation Learning ICML 2020 Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound WACV 2020 Adaptive Attentional Network for Few-Shot Knowledge Graph Completion EMNLP 2020 Adaptive Cross-Modal Embeddings for Image-Text Alignment AAAI 2020 Adaptive Estimator Selection for Off-Policy Evaluation ICML 2020 Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NeurIPS 2020 Adaptive Exploration in Linear Contextual Bandit AISTATS 2020 Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions AAAI 2020 Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection CVPR 2020 Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting NeurIPS 2020 Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation UAI 2020 Adaptively Multi-Objective Adversarial Training for Dialogue Generation IJCAI 2020