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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)

Object Localization based on Structural SVM using Privileged Information NeurIPS 2014 Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model CVPR 2014 On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification NeurIPS 2014 On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014 One-Shot-Learning Gesture Recognition using HOG-HOF Features JMLR 2014 On Estimating Causal Effects based on Supplemental Variables AISTATS 2014 On learning to localize objects with minimal supervision ICML 2014 Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NeurIPS 2014 Online Bayesian Passive-Aggressive Learning ICML 2014 Online Clustering of Bandits ICML 2014 Online combinatorial optimization with stochastic decision sets and adversarial losses NeurIPS 2014 Online Decision-Making in General Combinatorial Spaces NeurIPS 2014 Online Learning with Composite Loss Functions COLT 2014 Online Linear Optimization via Smoothing COLT 2014 Online matrix prediction for sparse loss matrices ACML 2014 Online Multi-Task Learning for Policy Gradient Methods ICML 2014 Online Non-Parametric Regression COLT 2014 Online Object Tracking, Learning and Parsing with And-Or Graphs CVPR 2014 Online Optimization for Max-Norm Regularization NeurIPS 2014 Online Passive Aggressive Active Learning and Its Applications ACML 2014 On Multilabel Classification and Ranking with Bandit Feedback JMLR 2014 On Multiplicative Multitask Feature Learning NeurIPS 2014 On Robustness and Regularization of Structural Support Vector Machines ICML 2014 On the Computational Efficiency of Training Neural Networks NeurIPS 2014 On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems COLT 2014