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

'20

'25

Papers (including subtopics)

On Unifying Misinformation Detection NAACL 2021 Oort: Efficient Federated Learning via Guided Participant Selection OSDI 2021 Open Aspect Target Sentiment Classification with Natural Language Prompts EMNLP 2021 Open Domain Generalization with Domain-Augmented Meta-Learning CVPR 2021 OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data EMNLP 2021 OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World CVPR 2021 Optimality and Stability in Federated Learning: A Game-theoretic Approach NeurIPS 2021 Optimal query complexity for private sequential learning against eavesdropping AISTATS 2021 Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning NAACL 2021 OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations CVPR 2021 Outside the Echo Chamber: Optimizing the Performative Risk ICML 2021 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NeurIPS 2021 PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees ICML 2021 PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation CVPR 2021 Parallel sentences mining with transfer learning in an unsupervised setting NAACL 2021 Parameter-Based Value Functions ICLR 2021 Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks ACL 2021 Parameter-Efficient Transfer Learning with Diff Pruning ACL 2021 Parameterized Knowledge Transfer for Personalized Federated Learning NeurIPS 2021 Parameter Prediction for Unseen Deep Architectures NeurIPS 2021 ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ACL 2021 Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems NeurIPS 2021 Partial Feature Selection and Alignment for Multi-Source Domain Adaptation CVPR 2021 PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization NeurIPS 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021