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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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220
477
4,652
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2000
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Papers (including subtopics)

Less Is More: Learning Highlight Detection From Video Duration CVPR 2019 Let Me Know What to Ask: Interrogative-Word-Aware Question Generation EMNLP 2019 LeTS-Drive: Driving in a Crowd by Learning from Tree Search RSS 2019 Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms NAACL 2019 Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction EMNLP 2019 Leveraging Experience in Lazy Search RSS 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting CVPR 2019 Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding EMNLP 2019 Leveraging Human Guidance for Deep Reinforcement Learning Tasks IJCAI 2019 Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training EMNLP 2019 Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification NeurIPS 2019 Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction ICML 2019 Leveraging Observations in Bandits: Between Risks and Benefits AAAI 2019 Leveraging Pre-Trained Embeddings for Welsh Taggers ACL 2019 Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery EMNLP 2019 Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols AAAI 2019 Leveraging the Invariant Side of Generative Zero-Shot Learning CVPR 2019 LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification EMNLP 2019 Lexical Normalization of User-Generated Medical Text ACL 2019 Lexicon Guided Attentive Neural Network Model for Argument Mining ACL 2019 Lifelong GAN: Continual Learning for Conditional Image Generation ICCV 2019 Lifelong Optimization with Low Regret AISTATS 2019 Lightly-supervised Representation Learning with Global Interpretability NAACL 2019 LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning NeurIPS 2019