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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)

Practical Contextual Bandits with Regression Oracles ICML 2018 Practical Methods for Graph Two-Sample Testing NeurIPS 2018 Pre- and In-Parsing Models for Neural Empty Category Detection ACL 2018 Precision and Recall for Time Series NeurIPS 2018 PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution EMNLP 2018 Predicting accuracy on large datasets from smaller pilot data ACL 2018 Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network IJCAI 2018 Predicting and interpreting embeddings for out of vocabulary words in downstream tasks EMNLP 2018 Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings ACL 2018 Predicting Human Trustfulness from Facebook Language NAACL 2018 Predicting misreadings from gaze in children with reading difficulties NAACL 2018 Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning EMNLP 2018 Prediction Models for Risk of Type-2 Diabetes Using Health Claims ACL 2018 Prediction of Turn-taking Using Multitask Learning with Prediction of Backchannels and Fillers Interspeech 2018 Prediction Rule Reshaping ICML 2018 Predictive Uncertainty Estimation via Prior Networks NeurIPS 2018 Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer NeurIPS 2018 Preference Based Adaptation for Learning Objectives NeurIPS 2018 Preference-Learning with Qualitative Agreement for Sentence Level Emotional Annotations Interspeech 2018 Preserving Semantic Relations for Zero-Shot Learning CVPR 2018 Pretraining Sentiment Classifiers with Unlabeled Dialog Data ACL 2018 Preventing Disparate Treatment in Sequential Decision Making IJCAI 2018 Probabilistic Matrix Factorization for Automated Machine Learning NeurIPS 2018 Probabilistic Model-Agnostic Meta-Learning NeurIPS 2018 Processing of missing data by neural networks NeurIPS 2018