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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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Papers (including subtopics)

Concept Extraction and Prerequisite Relation Learning from Educational Data AAAI 2019 Concept Pointer Network for Abstractive Summarization EMNLP 2019 Concrete Autoencoders: Differentiable Feature Selection and Reconstruction ICML 2019 Conditional Adversarial Generative Flow for Controllable Image Synthesis CVPR 2019 Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation ICCV 2019 Conditional Independence Testing using Generative Adversarial Networks NeurIPS 2019 Conditional Neural Movement Primitives RSS 2019 Conditioning by adaptive sampling for robust design ICML 2019 Confidence-based Graph Convolutional Networks for Semi-Supervised Learning AISTATS 2019 Confidence Regularized Self-Training ICCV 2019 Confidence Weighted Multitask Learning AAAI 2019 Confirming the Non-compositionality of Idioms for Sentiment Analysis ACL 2019 Conformalized Quantile Regression NeurIPS 2019 Conformal Prediction Under Covariate Shift NeurIPS 2019 Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding AAAI 2019 Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks AAAI 2019 Connecting the Dots: Learning Representations for Active Monocular Depth Estimation CVPR 2019 Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NeurIPS 2019 Consensus Adversarial Domain Adaptation AAAI 2019 Consistency-based Semi-supervised Learning for Object detection NeurIPS 2019 Consistency by Agreement in Zero-Shot Neural Machine Translation NAACL 2019 Constrained deep neural network architecture search for IoT devices accounting for hardware calibration NeurIPS 2019 Constraint-based Causal Structure Learning with Consistent Separating Sets NeurIPS 2019 Constraint-based Learning of Phonological Processes EMNLP 2019 Constraint Games for Stable and Optimal Allocation of Demands in SDN IJCAI 2019