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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
9,258
2000
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Papers (including subtopics)

Multi-Attention Network for One Shot Learning CVPR 2017 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017 Multi-Grained Chinese Word Segmentation EMNLP 2017 Multi-Instance Learning with Key Instance Shift IJCAI 2017 Multi-instance multi-label active learning IJCAI 2017 Multilabel Classification with Group Testing and Codes ICML 2017 Multilingual Hierarchical Attention Networks for Document Classification IJCNLP 2017 Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks EACL 2017 Multilingual Training of Crosslingual Word Embeddings EACL 2017 Multimodal Storytelling via Generative Adversarial Imitation Learning IJCAI 2017 Multi-Modal Word Synset Induction IJCAI 2017 Multi-Objective Non-parametric Sequential Prediction NeurIPS 2017 Multiple Instance Detection Network With Online Instance Classifier Refinement CVPR 2017 Multiple Kernel Clustering Framework with Improved Kernels IJCAI 2017 Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization IJCAI 2017 Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos NeurIPS 2017 Multi-Positive and Unlabeled Learning IJCAI 2017 Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild CVPR 2017 Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction ACL 2017 Multi-Stream Deep Similarity Learning Networks for Visual Tracking IJCAI 2017 Multi-Target Ensemble Learning for Monaural Speech Separation Interspeech 2017 Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification EMNLP 2017 Multi-Task Clustering of Human Actions by Sharing Information CVPR 2017 Multi-Task Learning for Contextual Bandits NeurIPS 2017 Multitask Learning for Mental Health Conditions with Limited Social Media Data EACL 2017