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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

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Regret Bounds for Non-decomposable Metrics with Missing Labels NeurIPS 2016 Regret of Queueing Bandits NeurIPS 2016 Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning NeurIPS 2016 Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition CVPR 2016 Relevant sparse codes with variational information bottleneck NeurIPS 2016 Representing and Learning Complex Object Interactions RSS 2016 Retrieving Categorical Emotions Using a Probabilistic Framework to Define Preference Learning Samples Interspeech 2016 Revisiting Semi-Supervised Learning with Graph Embeddings ICML 2016 Revisiting the Evaluation for Cross Document Event Coreference COLING 2016 REX: A Development Platform and Online Learning Approach for Runtime Emergent Software Systems OSDI 2016 Rich Component Analysis ICML 2016 RLScore: Regularized Least-Squares Learners JMLR 2016 Robust Multimodal Sequence-Based Loop Closure Detection via Structured Sparsity RSS 2016 Robust Tensor Factorization With Unknown Noise CVPR 2016 Robust Text Classification for Sparsely Labelled Data Using Multi-level Embeddings COLING 2016 Safe and Efficient Off-Policy Reinforcement Learning NeurIPS 2016 Safe Exploration in Finite Markov Decision Processes with Gaussian Processes NeurIPS 2016 Safe Policy Improvement by Minimizing Robust Baseline Regret NeurIPS 2016 Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing CVPR 2016 Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering CVPR 2016 Says Who…? Identification of Expert versus Layman Critics’ Reviews of Documentary Films COLING 2016 Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling JMLR 2016 Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016 Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters ICML 2016 Scalable MCMC for Mixed Membership Stochastic Blockmodels AISTATS 2016