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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)

Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings ACL 2019 Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression IJCAI 2019 Incremental Few-Shot Learning for Pedestrian Attribute Recognition IJCAI 2019 Incremental Learning from Scratch for Task-Oriented Dialogue Systems ACL 2019 Incremental Learning Using Conditional Adversarial Networks ICCV 2019 Incremental Object Learning From Contiguous Views CVPR 2019 Incremental processing of noisy user utterances in the spoken language understanding task EMNLP 2019 Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits NeurIPS 2019 Inducing Document Structure for Aspect-based Summarization ACL 2019 Induction Networks for Few-Shot Text Classification EMNLP 2019 Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME AAAI 2019 Inferring Concept Prerequisite Relations from Online Educational Resources AAAI 2019 Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning CoRL 2019 Infinite Mixture Prototypes for Few-shot Learning ICML 2019 Information Competing Process for Learning Diversified Representations NeurIPS 2019 Information-Theoretic Confidence Bounds for Reinforcement Learning NeurIPS 2019 Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019 Informative Object Annotations: Tell Me Something I Don't Know CVPR 2019 InGAN: Capturing and Retargeting the "DNA" of a Natural Image ICCV 2019 Inherent Tradeoffs in Learning Fair Representations NeurIPS 2019 Inherent Weight Normalization in Stochastic Neural Networks NeurIPS 2019 Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NAACL 2019 Inserting Videos Into Videos CVPR 2019 Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing EMNLP 2019 Instance-Level Facial Attributes Transfer with Geometry-Aware Flow AAAI 2019