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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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Papers (including subtopics)

Prediction with Corrupted Expert Advice NeurIPS 2020 Predictive Coding for Locally-Linear Control ICML 2020 Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems AAAI 2020 Predictive inference is free with the jackknife+-after-bootstrap NeurIPS 2020 Predictive Information Accelerates Learning in RL NeurIPS 2020 Predictive Sampling with Forecasting Autoregressive Models ICML 2020 Predictive Student Modeling in Educational Games with Multi-Task Learning AAAI 2020 Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 2020 Preference-based Reinforcement Learning with Finite-Time Guarantees NeurIPS 2020 Preference learning along multiple criteria: A game-theoretic perspective NeurIPS 2020 Preselection Bandits ICML 2020 Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data AAAI 2020 Pre-tokenization of Multi-word Expressions in Cross-lingual Word Embeddings EMNLP 2020 Pre-trained Language Model Based Active Learning for Sentence Matching COLING 2020 Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning Interspeech 2020 Pretrained Transformers Improve Out-of-Distribution Robustness ACL 2020 Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning ACL 2020 Pre-training Mention Representations in Coreference Models EMNLP 2020 Pre-training via Leveraging Assisting Languages for Neural Machine Translation ACL 2020 Pre-training via Paraphrasing NeurIPS 2020 Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models ACL 2020 Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation ACL 2020 PRHLT-UPV at SemEval-2020 Task 12: BERT for Multilingual Offensive Language Detection SemEval 2020 Price of Fairness in Budget Division and Probabilistic Social Choice AAAI 2020 Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm NeurIPS 2020