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

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

'10

'15

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'25

Papers (including subtopics)

A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning NAACL 2021 A Prototype-Oriented Framework for Unsupervised Domain Adaptation NeurIPS 2021 A Provably Efficient Sample Collection Strategy for Reinforcement Learning NeurIPS 2021 APS: Active Pretraining with Successor Features ICML 2021 A Relation-Oriented Clustering Method for Open Relation Extraction EMNLP 2021 A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021 argmax centroid NeurIPS 2021 A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021 A Secure and Efficient Federated Learning Framework for NLP EMNLP 2021 A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading EMNLP 2021 A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021 A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations EMNLP 2021 Ask2Transformers: Zero-Shot Domain labelling with Pretrained Language Models EACL 2021 ASMR: Learning Attribute-Based Person Search With Adaptive Semantic Margin Regularizer ICCV 2021 Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework AAAI 2021 A Stochastic Newton Algorithm for Distributed Convex Optimization NeurIPS 2021 A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting AAAI 2021 A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios NAACL 2021 Asymmetric Metric Learning for Knowledge Transfer CVPR 2021 Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge ICML 2021 A teacher-student framework to distill future trajectories ICLR 2021 A Theoretical Analysis of Fine-tuning with Linear Teachers NeurIPS 2021 A Theory of Multiple-Source Adaptation with Limited Target Labeled Data AISTATS 2021 Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots EMNLP 2021 Attentional Constellation Nets for Few-Shot Learning ICLR 2021