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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)

Asking for Help with the Right Question by Predicting Human Visual Performance RSS 2016 A Speaker Diarization System for Studying Peer-Led Team Learning Groups Interspeech 2016 ASR for South Slavic Languages Developed in Almost Automated Way Interspeech 2016 Assigning Fine-grained PoS Tags based on High-precision Coarse-grained Tagging COLING 2016 Assortment Optimization Under the Mallows model NeurIPS 2016 A Step Beyond Local Observations with a Dialog Aware Bidirectional GRU Network for Spoken Language Understanding Interspeech 2016 A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet COLING 2016 Asymmetric Multi-task Learning Based on Task Relatedness and Loss ICML 2016 Asymptotic behavior of \ell_p-based Laplacian regularization in semi-supervised learning COLT 2016 A Task-Oriented Approach for Cost-Sensitive Recognition CVPR 2016 A Theory of Generative ConvNet ICML 2016 Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NeurIPS 2016 Audio Word2Vec: Unsupervised Learning of Audio Segment Representations Using Sequence-to-Sequence Autoencoder Interspeech 2016 Augmentable Gamma Belief Networks JMLR 2016 Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification ICML 2016 A Unified Architecture for Semantic Role Labeling and Relation Classification COLING 2016 A Unified View on Multi-class Support Vector Classification JMLR 2016 A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning JMLR 2016 A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks COLING 2016 Automatic Content-Aware Color and Tone Stylization CVPR 2016 Automatic Genre and Show Identification of Broadcast Media Interspeech 2016 Automatic Pronunciation Generation by Utilizing a Semi-Supervised Deep Neural Networks Interspeech 2016 Automatic Speech Recognition Using Probabilistic Transcriptions in Swahili, Amharic, and Dinka Interspeech 2016 Auxiliary Deep Generative Models ICML 2016 Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction NeurIPS 2016