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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)

Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection ACL 2018 Disconnected Manifold Learning for Generative Adversarial Networks NeurIPS 2018 Discourse-Aware Neural Rewards for Coherent Text Generation NAACL 2018 Discourse Marker Detection for Hesitation Events on Mandarin Conversation Interspeech 2018 Discovering Interpretable Representations for Both Deep Generative and Discriminative Models ICML 2018 Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model NAACL 2018 Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss ACML 2018 Discriminative Learning of Latent Features for Zero-Shot Recognition CVPR 2018 Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation EMNLP 2018 Discriminative Learning of Prediction Intervals AISTATS 2018 Discriminative Training of Sum-Product Networks by Extended Baum-Welch PGM 2018 Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination SemEval 2018 Disentangled Sequential Autoencoder ICML 2018 Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment CVPR 2018 Disentangling by Factorising ICML 2018 Disentangling Factors of Variation by Mixing Them CVPR 2018 Disentangling Structure and Aesthetics for Style-Aware Image Completion CVPR 2018 Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning COLING 2018 Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging EMNLP 2018 Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing ACML 2018 Distributed k-Clustering for Data with Heavy Noise NeurIPS 2018 Distributed Fine-tuning of Language Models on Private Data ICLR 2018 Distributed Multi-Player Bandits - a Game of Thrones Approach NeurIPS 2018 Distributed Multitask Reinforcement Learning with Quadratic Convergence NeurIPS 2018 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018