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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)

Infinite Markov-Switching Maximum Entropy Discrimination Machines ICML 2013 Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013 Information Complexity in Bandit Subset Selection COLT 2013 Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 Is There a Procedural Logic to Architecture? CVPR 2013 It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NeurIPS 2013 It's Not Polite to Point: Describing People with Uncertain Attributes CVPR 2013 Joint Deep Learning for Pedestrian Detection ICCV 2013 Joint Harmonic Functions and Their Supervised Connections JMLR 2013 Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines CVPR 2013 Joint Transfer and Batch-mode Active Learning ICML 2013 Kernelized Bayesian Matrix Factorization ICML 2013 Kernel Null Space Methods for Novelty Detection CVPR 2013 Label-Embedding for Attribute-Based Classification CVPR 2013 Label Propagation from ImageNet to 3D Point Clouds CVPR 2013 Language-Motivated Approaches to Action Recognition JMLR 2013 Large-Scale Video Summarization Using Web-Image Priors CVPR 2013 Latent Maximum Margin Clustering NeurIPS 2013 Latent Multitask Learning for View-Invariant Action Recognition ICCV 2013 Latent Structured Active Learning NeurIPS 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013 Learning a set of directions COLT 2013