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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)

Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot RSS 2008 Cascaded Classification Models: Combining Models for Holistic Scene Understanding NeurIPS 2008 Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons NeurIPS 2008 Classifying Dynamic Objects: An Unsupervised Learning Approach RSS 2008 Closed Sets for Labeled Data JMLR 2008 Clustered Multi-Task Learning: A Convex Formulation NeurIPS 2008 Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008 Domain Adaptation with Multiple Sources NeurIPS 2008 Dynamic visual attention: searching for coding length increments NeurIPS 2008 Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NeurIPS 2008 Empirical performance maximization for linear rank statistics NeurIPS 2008 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Exact Convex Confidence-Weighted Learning NeurIPS 2008 Fast Prediction on a Tree NeurIPS 2008 Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets NeurIPS 2008 Fitted Q-iteration by Advantage Weighted Regression NeurIPS 2008 From Online to Batch Learning with Cutoff-Averaging NeurIPS 2008 Generalization from Observed to Unobserved Features by Clustering JMLR 2008 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008 Generative versus discriminative training of RBMs for classification of fMRI images NeurIPS 2008 Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data NeurIPS 2008 High-dimensional support union recovery in multivariate regression NeurIPS 2008