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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
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2000
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Papers (including subtopics)

Mean Field Multi-Agent Reinforcement Learning ICML 2018 Measuring abstract reasoning in neural networks ICML 2018 Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task EMNLP 2018 Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks ICLR 2018 Memory Based Online Learning of Deep Representations From Video Streams CVPR 2018 Memory-based Parameter Adaptation ICLR 2018 Memory Matching Networks for One-Shot Image Recognition CVPR 2018 Memory Replay GANs: Learning to Generate New Categories without Forgetting NeurIPS 2018 Mental Health Computing via Harvesting Social Media Data IJCAI 2018 MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels ICML 2018 MeSH-based dataset for measuring the relevance of text retrieval ACL 2018 Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation IJCAI 2018 MetaGAN: An Adversarial Approach to Few-Shot Learning NeurIPS 2018 Meta-Learning for Semi-Supervised Few-Shot Classification ICLR 2018 Meta-Level Control of Anytime Algorithms with Online Performance Prediction IJCAI 2018 MetaReg: Towards Domain Generalization using Meta-Regularization NeurIPS 2018 Meta-Reinforcement Learning of Structured Exploration Strategies NeurIPS 2018 MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare NeurIPS 2018 Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions EMNLP 2018 Min-Entropy Latent Model for Weakly Supervised Object Detection CVPR 2018 Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates ICML 2018 Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity ICLR 2018 Minimizing Adaptive Regret with One Gradient per Iteration IJCAI 2018 Mining Multimodal Repositories for Speech Affecting Diseases Interspeech 2018 Mining on Manifolds: Metric Learning Without Labels CVPR 2018