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)

Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks EMNLP 2021 DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction EMNLP 2021 Direct Multimodal Few-Shot Learning of Speech and Images Interspeech 2021 Discovering Dialogue Slots with Weak Supervision ACL 2021 Discovering Generalizable Skills via Automated Generation of Diverse Tasks RSS 2021 Discovering Representation Sprachbund For Multilingual Pre-Training EMNLP 2021 Discovery of Options via Meta-Learned Subgoals NeurIPS 2021 Distance-Based Regularisation of Deep Networks for Fine-Tuning ICLR 2021 Distantly Supervised Relation Extraction in Federated Settings EMNLP 2021 Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors NAACL 2021 Distant Transfer Learning via Deep Random Walk AAAI 2021 Distilling Image Classifiers in Object Detectors NeurIPS 2021 Distilling Linguistic Context for Language Model Compression EMNLP 2021 Distilling Localization for Self-Supervised Representation Learning AAAI 2021 Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media NeurIPS 2021 Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation EMNLP 2021 Distinct Label Representations for Few-Shot Text Classification ACL 2021 Distributed Machine Learning with Sparse Heterogeneous Data NeurIPS 2021 Distributed Nyström Kernel Learning with Communications ICML 2021 Ditto: Fair and Robust Federated Learning Through Personalization ICML 2021 Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP EMNLP 2021 Diverse Message Passing for Attribute with Heterophily NeurIPS 2021 Diverse Pretrained Context Encodings Improve Document Translation ACL 2021 Document-Grounded Goal-Oriented Dialogue Systems on Pre-Trained Language Model with Diverse Input Representation ACL 2021 Document-Level Event Argument Extraction by Conditional Generation NAACL 2021