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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Active Learning for Cost-Sensitive Classification JMLR 2019 Active Learning for Decision-Making from Imbalanced Observational Data ICML 2019 Active Learning for Deep Detection Neural Networks ICCV 2019 Active Learning for Domain Classification in a Commercial Spoken Personal Assistant Interspeech 2019 Active Learning for New Domains in Natural Language Understanding NAACL 2019 Active Learning for Probabilistic Structured Prediction of Cuts and Matchings ICML 2019 Active Learning Methods for Low Resource End-to-End Speech Recognition Interspeech 2019 Active Learning of Multi-Class Classification Models from Ordered Class Sets AAAI 2019 Active Learning via Membership Query Synthesis for Semi-Supervised Sentence Classification CoNLL 2019 Active Learning with Disagreement Graphs ICML 2019 Active Learning within Constrained Environments through Imitation of an Expert Questioner IJCAI 2019 Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019 Active Multi-Information Source Bayesian Quadrature UAI 2019 Active multiple matrix completion with adaptive confidence sets AISTATS 2019 Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem AAAI 2019 Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization AISTATS 2019 Active Ranking with Subset-wise Preferences AISTATS 2019 Active Reading Comprehension: A Dataset for Learning the Question-Answer Relationship Strategy ACL 2019 Active Regression via Linear-Sample Sparsification COLT 2019 Active Sampling for Open-Set Classification without Initial Annotation AAAI 2019 Activity Driven Weakly Supervised Object Detection CVPR 2019 AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing ACL 2019 Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation NAACL 2019 Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning Interspeech 2019 Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019