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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12

24

14

20

29

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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)

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation ACL 2020 Learning a Decision Module by Imitating Driver’s Control Behaviors CoRL 2020 Learning Agile Robotic Locomotion Skills by Imitating Animals RSS 2020 Learning and Evaluating Emotion Lexicons for 91 Languages ACL 2020 Learning Autoencoders with Relational Regularization ICML 2020 Learning Compositional Rules via Neural Program Synthesis NeurIPS 2020 Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning ICML 2020 Learning discrete distributions: user vs item-level privacy NeurIPS 2020 Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information ICML 2020 Learning Dynamic Belief Graphs to Generalize on Text-Based Games NeurIPS 2020 Learning Efficient Representations for Fake Speech Detection AAAI 2020 Learning Efficient Task-Specific Meta-Embeddings with Word Prisms COLING 2020 LEARNING EXECUTION THROUGH NEURAL CODE FUSION ICLR 2020 Learning Fast Adaptation on Cross-Accented Speech Recognition Interspeech 2020 Learning from Label Proportions with Consistency Regularization ACML 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Learning from Unlabelled Data for Clinical Semantic Textual Similarity EMNLP 2020 Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching AAAI 2020 Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations CoRL 2020 Learning Informative Representations of Biomedical Relations with Latent Variable Models EMNLP 2020 Learning Invariants through Soft Unification NeurIPS 2020 Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment ACL 2020 Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing AAAI 2020 Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models EMNLP 2020 Learning Object Manipulation Skills via Approximate State Estimation from Real Videos CoRL 2020