conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

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2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation CoNLL 2019 Learning by Cheating CoRL 2019 Learning Classifiers for Target Domain with Limited or No Labels ICML 2019 Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model ACL 2019 Learning deep representations by mutual information estimation and maximization ICLR 2019 Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization ICCV 2019 Learning From Synthetic Data for Crowd Counting in the Wild CVPR 2019 Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer IJCAI 2019 Learning How to Active Learn by Dreaming ACL 2019 Learning Latent Plans from Play CoRL 2019 Learning Local RGB-to-CAD Correspondences for Object Pose Estimation ICCV 2019 Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real CoRL 2019 Learning Multi-Task Communication with Message Passing for Sequence Learning AAAI 2019 Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks NeurIPS 2019 Learning Personalized Attribute Preference via Multi-Task AUC Optimization AAAI 2019 Learning Resolution-Invariant Deep Representations for Person Re-Identification AAAI 2019 Learning Robust Global Representations by Penalizing Local Predictive Power NeurIPS 2019 Learning RoI Transformer for Oriented Object Detection in Aerial Images CVPR 2019 Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning NeurIPS 2019 Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs EMNLP 2019 Learning Sound Events from Webly Labeled Data IJCAI 2019 Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning ICLR 2019 Learning to Design RNA ICLR 2019 Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis CoNLL 2019 Learning to Find Common Objects Across Few Image Collections ICCV 2019