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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Papers (including subtopics)

Implicit kernel meta-learning using kernel integral forms UAI 2022 Improved Algorithms for Neural Active Learning NeurIPS 2022 Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams NeurIPS 2022 Improved Relation Networks for End-to-End Speaker Verification and Identification Interspeech 2022 Improving Both Domain Robustness and Domain Adaptability in Machine Translation COLING 2022 Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters ICLR 2022 Improving Few-Shot Domain Transfer for Named Entity Disambiguation with Pattern Exploitation EMNLP 2022 Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text NAACL 2022 Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity IJCAI 2022 Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging EMNLP 2022 Improving Intrinsic Exploration with Language Abstractions NeurIPS 2022 Improving Low-Resource Languages in Pre-Trained Multilingual Language Models EMNLP 2022 Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation ACL 2022 Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness NAACL 2022 Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model ACL 2022 Improving Multi-Task Generalization via Regularizing Spurious Correlation NeurIPS 2022 Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation AAAI 2022 Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors NeurIPS 2022 Improving Screening Processes via Calibrated Subset Selection ICML 2022 Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization NeurIPS 2022 Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change EMNLP 2022 Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation EMNLP 2022 Improving Video Model Transfer With Dynamic Representation Learning CVPR 2022 Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise ACL 2022 Improving Zero-Shot Event Extraction via Sentence Simplification EMNLP 2022