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

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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)

Improving AMR Parsing with Sequence-to-Sequence Pre-training EMNLP 2020 Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation Interspeech 2020 Improving Generalization in Meta Reinforcement Learning using Learned Objectives ICLR 2020 Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation AISTATS 2020 Improving Multilingual Models with Language-Clustered Vocabularies EMNLP 2020 Improving On-Device Speaker Verification Using Federated Learning with Privacy Interspeech 2020 Incremental Few-Shot Object Detection CVPR 2020 Independent Skill Transfer for Deep Reinforcement Learning IJCAI 2020 Induction of Subgoal Automata for Reinforcement Learning AAAI 2020 Inductive Matrix Completion Based on Graph Neural Networks ICLR 2020 Inductive Quantum Embedding NeurIPS 2020 Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA EMNLP 2020 Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation NeurIPS 2020 Inferring Nighttime Satellite Imagery from Human Mobility AAAI 2020 Inferring symmetry in natural language EMNLP 2020 Information Maximization for Few-Shot Learning NeurIPS 2020 Information-theoretic Task Selection for Meta-Reinforcement Learning NeurIPS 2020 Injecting Numerical Reasoning Skills into Language Models ACL 2020 In Neural Machine Translation, What Does Transfer Learning Transfer? ACL 2020 In-Situ Learning from a Domain Expert for Real World Socially Assistive Robot Deployment RSS 2020 InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020 Instance Credibility Inference for Few-Shot Learning CVPR 2020 Integrals over Gaussians under Linear Domain Constraints AISTATS 2020 Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents CoRL 2020 Intent Detection with WikiHow AACL 2020