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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)

A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015 A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA NeurIPS 2015 A Randomized Ensemble Approach to Industrial CT Segmentation ICCV 2015 A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits ICML 2015 Articulated Motion Discovery Using Pairs of Trajectories CVPR 2015 A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection ICCV 2015 Associative Memory via a Sparse Recovery Model NeurIPS 2015 Attribute Efficient Linear Regression with Distribution-Dependent Sampling ICML 2015 A Unified Framework for Outlier-Robust PCA-like Algorithms ICML 2015 Automatically Discovering Local Visual Material Attributes CVPR 2015 BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions NeurIPS 2015 Bandit Convex Optimization: \sqrtT Regret in One Dimension COLT 2015 Bandits with Unobserved Confounders: A Causal Approach NeurIPS 2015 Basis refinement strategies for linear value function approximation in MDPs NeurIPS 2015 Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization JMLR 2015 Bayesian Active Model Selection with an Application to Automated Audiometry NeurIPS 2015 Bayesian Nonparametric Crowdsourcing JMLR 2015 b-bit Marginal Regression NeurIPS 2015 Becoming the Expert - Interactive Multi-Class Machine Teaching CVPR 2015 Best of Both Worlds: Human-Machine Collaboration for Object Annotation CVPR 2015 BinaryConnect: Training Deep Neural Networks with binary weights during propagations NeurIPS 2015 Biologically Inspired Dynamic Textures for Probing Motion Perception NeurIPS 2015 Bipartite Edge Prediction via Transductive Learning over Product Graphs ICML 2015 Bi-Shifting Auto-Encoder for Unsupervised Domain Adaptation ICCV 2015 Bounding the Cost of Search-Based Lifted Inference NeurIPS 2015