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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

On the convergence of no-regret learning in selfish routing ICML 2014 On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures NeurIPS 2014 Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers COLT 2014 Open Problem: Efficient Online Sparse Regression COLT 2014 Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem COLT 2014 Open Problem: Online Local Learning COLT 2014 Open Problem: Shifting Experts on Easy Data COLT 2014 Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014 Optimal Neural Codes for Control and Estimation NeurIPS 2014 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014 Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers NeurIPS 2014 Optimal Teaching for Limited-Capacity Human Learners NeurIPS 2014 Optimistic Planning in Markov Decision Processes Using a Generative Model NeurIPS 2014 Optimizing Average Precision using Weakly Supervised Data CVPR 2014 Optimizing Energy Production Using Policy Search and Predictive State Representations NeurIPS 2014 Optimizing F-Measures by Cost-Sensitive Classification NeurIPS 2014 Orbit Regularization NeurIPS 2014 PAC-Bayesian Theory for Transductive Learning AISTATS 2014 Parallel Feature Selection Inspired by Group Testing NeurIPS 2014 Parallel Sampling of HDPs using Sub-Cluster Splits NeurIPS 2014 Parsing Occluded People CVPR 2014 Patch-based Evaluation of Image Segmentation CVPR 2014 Patch to the Future: Unsupervised Visual Prediction CVPR 2014 PCFG Induction for Unsupervised Parsing and Language Modelling EMNLP 2014 Pre- and Post-Contact Policy Decomposition for Planar Contact Manipulation Under Uncertainty RSS 2014