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

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'15

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'25

Papers (including subtopics)

Toward Job Recommendation for All IJCAI 2023 Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance EMNLP 2023 Towards Accelerated Model Training via Bayesian Data Selection NeurIPS 2023 Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review ACL 2023 Towards Addressing Label Skews in One-Shot Federated Learning ICLR 2023 Towards Agile Text Classifiers for Everyone EMNLP 2023 Towards Alleviating the Object Bias in Prompt Tuning-based Factual Knowledge Extraction ACL 2023 Towards Attack-tolerant Federated Learning via Critical Parameter Analysis ICCV 2023 Towards Automatic Grammatical Error Type Classification for Turkish EACL 2023 Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors WACV 2023 Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain Adaptation ICCV 2023 Towards Example-Based NMT with Multi-Levenshtein Transformers EMNLP 2023 Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient? WACV 2023 Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior NeurIPS 2023 Towards General Single-Utensil Food Acquisition with Human-Informed Actions CoRL 2023 Towards Geospatial Foundation Models via Continual Pretraining ICCV 2023 Towards Inadequately Pre-trained Models in Transfer Learning ICCV 2023 Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023 Towards Instance-adaptive Inference for Federated Learning ICCV 2023 Towards Interpretable Video Anomaly Detection WACV 2023 Towards LLM-driven Dialogue State Tracking EMNLP 2023 Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models EMNLP 2023 Towards Low-resource Language Generation with Limited Supervision EMNLP 2023 Towards Multi-task Learning of Speech and Speaker Recognition Interspeech 2023 Towards Omni-generalizable Neural Methods for Vehicle Routing Problems ICML 2023