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)

Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules? EMNLP 2020 Do We Need to Create Big Datasets to Learn a Task? EMNLP 2020 Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation ICML 2020 DPGN: Distribution Propagation Graph Network for Few-Shot Learning CVPR 2020 Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion CVPR 2020 Dress like an Internet Celebrity: Fashion Retrieval in Videos IJCAI 2020 DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration MIDL 2020 DualTKB: A Dual Learning Bridge between Text and Knowledge Base EMNLP 2020 Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning EMNLP 2020 Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog ACL 2020 Dynamic Memory Induction Networks for Few-Shot Text Classification ACL 2020 Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection EMNLP 2020 Dysarthric Speech Recognition Based on Deep Metric Learning Interspeech 2020 Effective Few-Shot Classification with Transfer Learning COLING 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Efficient Intent Detection with Dual Sentence Encoders ACL 2020 Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NeurIPS 2020 Efficient Meta Lifelong-Learning with Limited Memory EMNLP 2020 Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages ACL 2020 Efficient, Noise-Tolerant, and Private Learning via Boosting COLT 2020 Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks NeurIPS 2020 Embodied Multimodal Multitask Learning IJCAI 2020 Emergent Communication Pretraining for Few-Shot Machine Translation COLING 2020 Emerging Cross-lingual Structure in Pretrained Language Models ACL 2020 Empirical Bayes Transductive Meta-Learning with Synthetic Gradients ICLR 2020