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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)

Fast and Accurate Inference of Plackett–Luce Models NeurIPS 2015 Fast Bidirectional Probability Estimation in Markov Models NeurIPS 2015 Fast Convergence of Regularized Learning in Games NeurIPS 2015 Fast Exact Matrix Completion with Finite Samples COLT 2015 Feature-Independent Context Estimation for Automatic Image Annotation CVPR 2015 Fictitious Self-Play in Extensive-Form Games ICML 2015 Fighting Bandits with a New Kind of Smoothness NeurIPS 2015 Fine-Grained Recognition Without Part Annotations CVPR 2015 Fixation Bank: Learning to Reweight Fixation Candidates CVPR 2015 From Captions to Visual Concepts and Back CVPR 2015 From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement CVPR 2015 From Dependency to Causality: A Machine Learning Approach JMLR 2015 From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning ICCV 2015 From Image-Level to Pixel-Level Labeling With Convolutional Networks CVPR 2015 Functional Subspace Clustering with Application to Time Series ICML 2015 GAP Safe screening rules for sparse multi-task and multi-class models NeurIPS 2015 Generalization in Adaptive Data Analysis and Holdout Reuse NeurIPS 2015 GMMCP Tracker: Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking CVPR 2015 Guaranteed Outlier Removal for Rotation Search ICCV 2015 Harvesting Discriminative Meta Objects With Deep CNN Features for Scene Classification ICCV 2015 Hidden Technical Debt in Machine Learning Systems NeurIPS 2015 Hierarchical Label Queries with Data-Dependent Partitions COLT 2015 High Confidence Policy Improvement ICML 2015 High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality NeurIPS 2015 High-dimensional neural spike train analysis with generalized count linear dynamical systems NeurIPS 2015