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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)

Predicting Failures of Vision Systems CVPR 2014 Predicting Multiple Attributes via Relative Multi-task Learning CVPR 2014 Predicting Useful Neighborhoods for Lazy Local Learning NeurIPS 2014 Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014 Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NeurIPS 2014 Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows ICML 2014 Preserving Modes and Messages via Diverse Particle Selection ICML 2014 Pre-training of Recurrent Neural Networks via Linear Autoencoders NeurIPS 2014 Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014 Programming by Feedback ICML 2014 Provable Bounds for Learning Some Deep Representations ICML 2014 Quality-based Multimodal Classification using Tree-Structured Sparsity CVPR 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Randomized Experimental Design for Causal Graph Discovery NeurIPS 2014 Recognizing RGB Images by Learning from RGB-D Data CVPR 2014 Reducing Dueling Bandits to Cardinal Bandits ICML 2014 Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification ACML 2014 Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem ICML 2014 Repeated Contextual Auctions with Strategic Buyers NeurIPS 2014 Reputation-based Worker Filtering in Crowdsourcing NeurIPS 2014 Resourceful Contextual Bandits COLT 2014 Revisiting Stein's Paradox: Multi-Task Averaging JMLR 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014