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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)

Incremental Fine-grained Information Status Classification Using Attention-based LSTMs COLING 2016 Incrementally Learning a Dependency Parser to Support Language Documentation in Field Linguistics COLING 2016 Incremental Variational Sparse Gaussian Process Regression NeurIPS 2016 InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets NeurIPS 2016 Information Bottleneck Learning Using Privileged Information for Visual Recognition CVPR 2016 Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels JMLR 2016 Instance-Aware Semantic Segmentation via Multi-Task Network Cascades CVPR 2016 Integrated perception with recurrent multi-task neural networks NeurIPS 2016 Interactive Algorithms: from Pool to Stream COLT 2016 Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation JMLR 2016 Inter-Task System Fusion for Speaker Recognition Interspeech 2016 Introducing the Turbo-Twin-HMM for Audio-Visual Speech Enhancement Interspeech 2016 Investigation of Semi-Supervised Acoustic Model Training Based on the Committee of Heterogeneous Neural Networks Interspeech 2016 Is all that Glitters in Machine Translation Quality Estimation really Gold? COLING 2016 Is Deception Emotional? An Emotion-Driven Predictive Approach Interspeech 2016 Iterative PLDA Adaptation for Speaker Diarization Interspeech 2016 Iterative Refinement of the Approximate Posterior for Directed Belief Networks NeurIPS 2016 JCLAL: A Java Framework for Active Learning JMLR 2016 Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016 Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition NeurIPS 2016 Jointly Learning to Locate and Classify Words Using Convolutional Networks Interspeech 2016 Joint Structural Estimation of Multiple Graphical Models JMLR 2016 Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences CVPR 2016 Joint Unsupervised Learning of Deep Representations and Image Clusters CVPR 2016 Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning CVPR 2016