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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)

Reinforcement and Imitation Learning for Diverse Visuomotor Skills RSS 2018 Reinforcement Learning for Solving the Vehicle Routing Problem NeurIPS 2018 Reinforcement Learning of Theorem Proving NeurIPS 2018 Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration ICLR 2018 Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach NeurIPS 2018 Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training ICML 2018 Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions ICLR 2018 Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning ACL 2018 Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty IJCAI 2018 Removing Hidden Confounding by Experimental Grounding NeurIPS 2018 Report of NEWS 2018 Named Entity Transliteration Shared Task ACL 2018 Representation Balancing MDPs for Off-policy Policy Evaluation NeurIPS 2018 Representation Learning for Treatment Effect Estimation from Observational Data NeurIPS 2018 Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels IJCAI 2018 Residualized Factor Adaptation for Community Social Media Prediction Tasks EMNLP 2018 Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance EMNLP 2018 Rethinking Feature Distribution for Loss Functions in Image Classification CVPR 2018 Retrieval of the Best Counterargument without Prior Topic Knowledge ACL 2018 Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization ACL 2018 Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation CVPR 2018 Revisiting Knowledge Transfer for Training Object Class Detectors CVPR 2018 Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection NeurIPS 2018 Reward Estimation for Variance Reduction in Deep Reinforcement Learning CoRL 2018 Reward learning from human preferences and demonstrations in Atari NeurIPS 2018 Reward Learning From Narrated Demonstrations CVPR 2018