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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)

Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video CVPR 2016 SoundNet: Learning Sound Representations from Unlabeled Video NeurIPS 2016 Sparse Coding and Dictionary Learning With Linear Dynamical Systems CVPR 2016 Sparse Parameter Recovery from Aggregated Data ICML 2016 Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking AISTATS 2016 Sparse Support Recovery with Non-smooth Loss Functions NeurIPS 2016 SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition CVPR 2016 Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments Interspeech 2016 Speech Emotion Recognition Using Affective Saliency Interspeech 2016 Split LBI: An Iterative Regularization Path with Structural Sparsity NeurIPS 2016 Staple: Complementary Learners for Real-Time Tracking CVPR 2016 Starting Small - Learning with Adaptive Sample Sizes ICML 2016 Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NeurIPS 2016 Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles NeurIPS 2016 Structured Aspect Extraction COLING 2016 Structured Prediction Energy Networks ICML 2016 Subspace Learning with Partial Information JMLR 2016 Subspace LHUC for Fast Adaptation of Deep Neural Network Acoustic Models Interspeech 2016 Summary Transfer: Exemplar-Based Subset Selection for Video Summarization CVPR 2016 Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings ICML 2016 Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering Interspeech 2016 Supervised learning through the lens of compression NeurIPS 2016 Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes JMLR 2016 Swapout: Learning an ensemble of deep architectures NeurIPS 2016 Synergy of Monotonic Rules JMLR 2016