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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)

Estimation with Incomplete Data: The Linear Case IJCAI 2018 EvalD Reference-Less Discourse Evaluation for WMT18 EMNLP 2018 Evaluating Theory of Mind in Question Answering EMNLP 2018 Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing ACL 2018 Evaluation of Unsupervised Compositional Representations COLING 2018 EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras RSS 2018 Evidential Deep Learning to Quantify Classification Uncertainty NeurIPS 2018 Exact Learning of Lightweight Description Logic Ontologies JMLR 2018 Expanding Motor Skills using Relay Networks CoRL 2018 Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives IJCAI 2018 Experimental Design for Cost-Aware Learning of Causal Graphs NeurIPS 2018 Experimental Design under the Bradley-Terry Model IJCAI 2018 Explicit Retrofitting of Distributional Word Vectors ACL 2018 Exploiting Contextual Information via Dynamic Memory Network for Event Detection EMNLP 2018 Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018 Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks IJCAI 2018 Exploiting Speaker and Phonetic Diversity of Mismatched Language Resources for Unsupervised Subword Modeling Interspeech 2018 Exploiting Structure in Representation of Named Entities using Active Learning COLING 2018 Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search ICML 2018 Exploiting Transitivity for Learning Person Re-Identification Models on a Budget CVPR 2018 Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning CVPR 2018 Exploration by Distributional Reinforcement Learning IJCAI 2018 Exploration in Structured Reinforcement Learning NeurIPS 2018 Exploring gap filling as a cheaper alternative to reading comprehension questionnaires when evaluating machine translation for gisting EMNLP 2018 Exploring word embeddings and phonological similarity for the unsupervised correction of language learner errors COLING 2018