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

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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

'5

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Papers (including subtopics)

Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels CVPR 2023 Exploring the Impact of Back-End Network on Wav2vec 2.0 for Dialect Identification Interspeech 2023 Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation ACL 2023 Exploring the Impact of Model Scaling on Parameter-Efficient Tuning EMNLP 2023 Exploring the Impact of Pretrained Models and Web-Scraped Data for the 2022 NIST Language Recognition Evaluation Interspeech 2023 Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages EACL 2023 Exploring Transformers as Compact, Data-efficient Language Models CoNLL 2023 Exploring Zero and Few-shot Techniques for Intent Classification ACL 2023 ExPT: Synthetic Pretraining for Few-Shot Experimental Design NeurIPS 2023 Extensible and Efficient Proxy for Neural Architecture Search ICCV 2023 Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems Interspeech 2023 FairFed: Enabling Group Fairness in Federated Learning AAAI 2023 Fair Generative Models via Transfer Learning AAAI 2023 Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy IJCAI 2023 Fairness-guided Few-shot Prompting for Large Language Models NeurIPS 2023 Fair yet Asymptotically Equal Collaborative Learning ICML 2023 Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones CVPR 2023 FAME: Flexible, Scalable Analogy Mappings Engine EMNLP 2023 FAMO: Fast Adaptive Multitask Optimization NeurIPS 2023 Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance ICCV 2023 Faster federated optimization under second-order similarity ICLR 2023 Fast Federated Machine Unlearning with Nonlinear Functional Theory ICML 2023 Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023 Fast Trainable Projection for Robust Fine-tuning NeurIPS 2023 FateZero: Fusing Attentions for Zero-shot Text-based Video Editing ICCV 2023