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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)

Is Q-Learning Provably Efficient? NeurIPS 2018 Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset NAACL 2018 Iterative Back-Translation for Neural Machine Translation ACL 2018 Iterative development of family history annotation guidelines using a synthetic corpus of clinical text EMNLP 2018 Iterative Learning of Speech Recognition Models for Air Traffic Control Interspeech 2018 Iterative Learning With Open-Set Noisy Labels CVPR 2018 Iterative Metric Learning for Imbalance Data Classification IJCAI 2018 Iterative Value-Aware Model Learning NeurIPS 2018 IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge Source SemEval 2018 I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification Interspeech 2018 IVQA: Inverse Visual Question Answering CVPR 2018 Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding NeurIPS 2018 Joint Bootstrapping Machines for High Confidence Relation Extraction NAACL 2018 Joint Embedding of Words and Labels for Text Classification ACL 2018 JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets ICML 2018 Joint Generative Moment-Matching Network for Learning Structural Latent Code IJCAI 2018 Joint Learning from Labeled and Unlabeled Data for Information Retrieval COLING 2018 Jointly Embedding Entities and Text with Distant Supervision ACL 2018 Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning EMNLP 2018 Joint Multilingual Supervision for Cross-lingual Entity Linking EMNLP 2018 Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings EMNLP 2018 Joint Optimization Framework for Learning With Noisy Labels CVPR 2018 Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension ACL 2018 JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features COLING 2018 Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER ACL 2018