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)

Repurposing GANs for One-Shot Semantic Part Segmentation CVPR 2021 Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning ICLR 2021 Re-ranking for image retrieval and transductive few-shot classification NeurIPS 2021 Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks IJCAI 2021 Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion ACL 2021 Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective AAAI 2021 Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021 Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach EMNLP 2021 Rethinking Why Intermediate-Task Fine-Tuning Works EMNLP 2021 [RETRACTED] Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training ACL 2021 Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning EMNLP 2021 Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering EACL 2021 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning AISTATS 2021 Revisiting Pretraining with Adapters ACL 2021 Revisiting Self-training for Few-shot Learning of Language Model EMNLP 2021 Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs CVPR 2021 Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation NAACL 2021 Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning NeurIPS 2021 Reward Identification in Inverse Reinforcement Learning ICML 2021 R-GAP: Recursive Gradient Attack on Privacy ICLR 2021 Risk-Aware Transfer in Reinforcement Learning using Successor Features NeurIPS 2021 Risk Minimization for Zero-shot Sequence Labeling ACL 2021 Risk score learning for COVID-19 contact tracing apps MLHC 2021 RNNP: A Robust Few-Shot Learning Approach WACV 2021 Robust and differentially private mean estimation NeurIPS 2021