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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)

Connecting Supervised and Unsupervised Sentence Embeddings ACL 2018 Constant Regret, Generalized Mixability, and Mirror Descent NeurIPS 2018 Constrained Graph Variational Autoencoders for Molecule Design NeurIPS 2018 Constrained Interacting Submodular Groupings ICML 2018 Constructing Narrative Event Evolutionary Graph for Script Event Prediction IJCAI 2018 Constructing Unrestricted Adversarial Examples with Generative Models NeurIPS 2018 Contamination Attacks and Mitigation in Multi-Party Machine Learning NeurIPS 2018 Content preserving text generation with attribute controls NeurIPS 2018 Content Selection in Deep Learning Models of Summarization EMNLP 2018 Context-dependent upper-confidence bounds for directed exploration NeurIPS 2018 Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis MLHC 2018 Contextual bandits with surrogate losses: Margin bounds and efficient algorithms NeurIPS 2018 Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward NeurIPS 2018 Contextual Encoding for Translation Quality Estimation EMNLP 2018 Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations EMNLP 2018 Contextual Parameter Generation for Universal Neural Machine Translation EMNLP 2018 Contextual Pricing for Lipschitz Buyers NeurIPS 2018 Continual Reinforcement Learning with Complex Synapses ICML 2018 Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018 Continuous Learning in a Hierarchical Multiscale Neural Network ACL 2018 Continuous-Time Flows for Efficient Inference and Density Estimation ICML 2018 Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NeurIPS 2018 Contrastive Learning from Pairwise Measurements NeurIPS 2018 Controllable Abstractive Summarization ACL 2018 Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data ACL 2018