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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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2000
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Papers (including subtopics)

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020 MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision EMNLP 2020 MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models EMNLP 2020 Memory Augmented Neural Model for Incremental Session-based Recommendation IJCAI 2020 Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control NeurIPS 2020 Memoryless Sequences for General Losses JMLR 2020 Mentoring-Reverse Mentoring for Unsupervised Multi-Channel Speech Source Separation Interspeech 2020 Merging Weak and Active Supervision for Semantic Parsing AAAI 2020 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NeurIPS 2020 Message Passing Attention Networks for Document Understanding AAAI 2020 Message Passing for Hyper-Relational Knowledge Graphs EMNLP 2020 Meta-Amortized Variational Inference and Learning AAAI 2020 metaCAT: A Metadata-based Task-oriented Chatbot Annotation Tool AACL 2020 Meta-Consolidation for Continual Learning NeurIPS 2020 Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020 Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples ICLR 2020 Meta Dropout: Learning to Perturb Latent Features for Generalization ICLR 2020 Meta Ensemble for Japanese-Chinese Neural Machine Translation: Kyoto-U+ECNU Participation to WAT 2020 AACL 2020 Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining EMNLP 2020 MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment CVPR 2020 MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning ACML 2020 Meta-learning curiosity algorithms ICLR 2020 Meta-Learning for Generalized Zero-Shot Learning AAAI 2020 Meta-Learning for Speech Emotion Recognition Considering Ambiguity of Emotion Labels Interspeech 2020 Meta-Learning of Neural Architectures for Few-Shot Learning CVPR 2020