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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Model-Based Diagnosis with Uncertain Observations AAAI 2020 Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal COLT 2020 Model-Based Reinforcement Learning with Value-Targeted Regression L4DC 2020 Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes ICML 2020 Modeling Ambiguity with Many Annotators and Self-Assessments of Annotator Certainty COLING 2020 Modeling Biological Immunity to Adversarial Examples CVPR 2020 Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows NeurIPS 2020 Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction IJCAI 2020 Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection AAAI 2020 Modeling Event Salience in Narratives via Barthes’ Cardinal Functions COLING 2020 Modeling Evolution of Message Interaction for Rumor Resolution COLING 2020 Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract) AAAI 2020 Modeling Label Semantics for Predicting Emotional Reactions ACL 2020 Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions COLING 2020 Modeling Morphological Typology for Unsupervised Learning of Language Morphology ACL 2020 Modeling Protagonist Emotions for Emotion-Aware Storytelling EMNLP 2020 Modeling Shared responses in Neuroimaging Studies through MultiView ICA NeurIPS 2020 Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives CoNLL 2020 Modeling the Background for Incremental Learning in Semantic Segmentation CVPR 2020 Modeling the Music Genre Perception across Language-Bound Cultures EMNLP 2020 Modeling Word Formation in English–German Neural Machine Translation ACL 2020 Modelling and Solving Online Optimisation Problems AAAI 2020 Modelling Diversity of Solutions AAAI 2020 Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words AAAI 2020 Model Selection for Production System via Automated Online Experiments NeurIPS 2020