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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)

Multi-Objective Generalized Linear Bandits IJCAI 2019 Multi-objective training of Generative Adversarial Networks with multiple discriminators ICML 2019 Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search AAAI 2019 Multiple-Attribute Text Rewriting ICLR 2019 Multiple Independent Subspace Clusterings AAAI 2019 Multiple Instance Learning for ECG Risk Stratification MLHC 2019 Multiple Noisy Label Distribution Propagation for Crowdsourcing IJCAI 2019 Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training EMNLP 2019 Multi-resolution Multi-task Gaussian Processes NeurIPS 2019 Multi-Resolution Weak Supervision for Sequential Data NeurIPS 2019 Multi-Source Cross-Lingual Model Transfer: Learning What to Share ACL 2019 Multi-source Domain Adaptation for Semantic Segmentation NeurIPS 2019 Multi-Source Weak Supervision for Saliency Detection CVPR 2019 Multistream Classification with Relative Density Ratio Estimation AAAI 2019 Multi-Task CTC Training with Auxiliary Feature Reconstruction for End-to-End Speech Recognition Interspeech 2019 Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2019 Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019 Multi-task Learning for Aggregated Data using Gaussian Processes NeurIPS 2019 Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing EMNLP 2019 Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base EMNLP 2019 Multi-Task Learning for Japanese Predicate Argument Structure Analysis NAACL 2019 Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis NAACL 2019 Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue EMNLP 2019 Multi-Task Learning with High-Order Statistics for x-Vector Based Text-Independent Speaker Verification Interspeech 2019 Multi-Task Learning with Language Modeling for Question Generation EMNLP 2019