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)

Low-resource Taxonomy Enrichment with Pretrained Language Models EMNLP 2021 LRSC: Learning Representations for Subspace Clustering AAAI 2021 LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning NeurIPS 2021 LTL2Action: Generalizing LTL Instructions for Multi-Task RL ICML 2021 Maastricht University’s Multilingual Speech Translation System for IWSLT 2021 ACL 2021 MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer EMNLP 2021 Making Pre-trained Language Models Better Few-shot Learners ACL 2021 Mandoline: Model Evaluation under Distribution Shift ICML 2021 Many-to-English Machine Translation Tools, Data, and Pretrained Models ACL 2021 MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction EMNLP 2021 MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021 Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP EACL 2021 Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling ICML 2021 Mathematical Reasoning via Self-supervised Skip-tree Training ICLR 2021 MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers SemEval 2021 Mean-Variance Analysis in Bayesian Optimization under Uncertainty AISTATS 2021 MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification IJCAI 2021 MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation MLHC 2021 Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences ICML 2021 Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization NAACL 2021 MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection CVPR 2021 MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning ICLR 2021 Membership Inference Attacks on Deep Regression Models for Neuroimaging MIDL 2021 Membership Privacy for Machine Learning Models Through Knowledge Transfer AAAI 2021 Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories EMNLP 2021