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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)

Learning to Guide Random Search ICLR 2020 Learning to Have an Ear for Face Super-Resolution CVPR 2020 Learning to Incorporate Structure Knowledge for Image Inpainting AAAI 2020 Learning to Interactively Learn and Assist AAAI 2020 Learning to Learn Kernels with Variational Random Features ICML 2020 Learning to Learn Morphological Inflection for Resource-Poor Languages AAAI 2020 Learning to Learn Single Domain Generalization CVPR 2020 Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation EMNLP 2020 Learning to Learn with Feedback and Local Plasticity NeurIPS 2020 Learning to Manipulate Deformable Objects without Demonstrations RSS 2020 Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing AAAI 2020 Learning to Model Opponent Learning (Student Abstract) AAAI 2020 Learning to Mutate with Hypergradient Guided Population NeurIPS 2020 Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees AAAI 2020 Learning to Orient Surfaces by Self-supervised Spherical CNNs NeurIPS 2020 Learning to Plan via Deep Optimistic Value Exploration L4DC 2020 Learning to Play Sequential Games versus Unknown Opponents NeurIPS 2020 Learning to Pronounce Chinese Without a Pronunciation Dictionary EMNLP 2020 Learning to Prove Theorems by Learning to Generate Theorems NeurIPS 2020 Learning to Rank Learning Curves ICML 2020 Learning to Recognize Per-Rater’s Emotion Perception Using Co-Rater Training Strategy with Soft and Hard Labels Interspeech 2020 Learning to Restore Low-Light Images via Decomposition-and-Enhancement CVPR 2020 Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering ICLR 2020 Learning to Score Behaviors for Guided Policy Optimization ICML 2020 Learning to Segment Actions from Observation and Narration ACL 2020