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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)

Hierarchical Decision Making In Electricity Grid Management ICML 2016 Hierarchically Gated Deep Networks for Semantic Segmentation CVPR 2016 Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition NeurIPS 2016 Hierarchical Relative Entropy Policy Search JMLR 2016 Higher-Order Factorization Machines NeurIPS 2016 How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models Interspeech 2016 Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks JMLR 2016 Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease NeurIPS 2016 Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization MLHC 2016 Identification and Overidentification of Linear Structural Equation Models NeurIPS 2016 Identifying Good Training Data for Self-Supervised Free Space Estimation CVPR 2016 iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning CVPR 2016 Imitation learning for language generation from unaligned data COLING 2016 Importance Weighting Without Importance Weights: An Efficient Algorithm for Combinatorial Semi-Bandits JMLR 2016 Improved Learning Complexity in Combinatorial Pure Exploration Bandits AISTATS 2016 Improved Techniques for Training GANs NeurIPS 2016 Improving Deep Neural Networks Based Speaker Verification Using Unlabeled Data Interspeech 2016 Improving Generalisation to New Speakers in Spoken Dialogue State Tracking Interspeech 2016 Improving historical spelling normalization with bi-directional LSTMs and multi-task learning COLING 2016 Improving Large Vocabulary Accented Mandarin Speech Recognition with Attribute-Based I-Vectors Interspeech 2016 Improving PAC Exploration Using the Median Of Means NeurIPS 2016 Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016 Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery Interspeech 2016 Improving Word Alignment of Rare Words with Word Embeddings COLING 2016 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition NeurIPS 2016