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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)

Comparative Evaluation of Hand-Crafted and Learned Local Features CVPR 2017 Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing Interspeech 2017 Compatible Reward Inverse Reinforcement Learning NeurIPS 2017 Complex-Valued Restricted Boltzmann Machine for Direct Learning of Frequency Spectra Interspeech 2017 Compressed Nonparametric Language Modelling IJCAI 2017 Computing Bayes-Nash Equilibria in Combinatorial Auctions with Continuous Value and Action Spaces IJCAI 2017 Concatenative Resynthesis Using Twin Networks Interspeech 2017 Concrete Dropout NeurIPS 2017 Conditional Generative Adversarial Nets Classifier for Spoken Language Identification Interspeech 2017 Conditional Generative Adversarial Networks for Commonsense Machine Comprehension IJCAI 2017 Confidence Sets with Expected Sizes for Multiclass Classification JMLR 2017 Confident Multiple Choice Learning ICML 2017 Conic Scan-and-Cover algorithms for nonparametric topic modeling NeurIPS 2017 Consistency, Breakdown Robustness, and Algorithms for Robust Improper Maximum Likelihood Clustering JMLR 2017 Consistent Multitask Learning with Nonlinear Output Relations NeurIPS 2017 Consistent Robust Regression NeurIPS 2017 ConStance: Modeling Annotation Contexts to Improve Stance Classification EMNLP 2017 Context Attentive Bandits: Contextual Bandit with Restricted Context IJCAI 2017 Contextual Bandits with Latent Confounders: An NMF Approach AISTATS 2017 Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017 Continual Learning Through Synaptic Intelligence ICML 2017 Continual Learning with Deep Generative Replay NeurIPS 2017 Contrastive Learning for Image Captioning NeurIPS 2017 Controllable Invariance through Adversarial Feature Learning NeurIPS 2017 Controlling Human Perception of Basic User Traits EMNLP 2017