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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)

FML: Face Model Learning From Videos CVPR 2019 Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification ACML 2019 Fooling Network Interpretation in Image Classification ICCV 2019 Fooling Neural Network Interpretations via Adversarial Model Manipulation NeurIPS 2019 Forecasting Intra-Hour Imbalances in Electric Power Systems AAAI 2019 Foreign-Language Knowledge Enhances Artificial-Language Segmentation Interspeech 2019 Forming Probably Stable Communities with Limited Interactions AAAI 2019 Forward and Backward Knowledge Transfer for Sentiment Classification ACML 2019 Forward-Backward Generative Adversarial Networks for Anomaly Detection ACML 2019 Foundations of Comparison-Based Hierarchical Clustering NeurIPS 2019 Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities AAAI 2019 Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation ICCV 2019 FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images ICCV 2019 From Recommendation Systems to Facility Location Games AAAI 2019 From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI NeurIPS 2019 From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots IJCAI 2019 From Zero-Shot Learning to Cold-Start Recommendation AAAI 2019 Frontier Search and Plan Reconstruction in Oversubscription Planning AAAI 2019 Fully Automatic Video Colorization With Self-Regularization and Diversity CVPR 2019 Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing AAAI 2019 Fully Parameterized Quantile Function for Distributional Reinforcement Learning NeurIPS 2019 Functional Adversarial Attacks NeurIPS 2019 Functional Transparency for Structured Data: a Game-Theoretic Approach ICML 2019 Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation MIDL 2019 Fusion Strategy for Prosodic and Lexical Representations of Word Importance Interspeech 2019