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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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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Papers (including subtopics)

Image-Text Pre-Training for Logo Recognition WACV 2023 Imitating Task and Motion Planning with Visuomotor Transformers CoRL 2023 Imitation Learning from Vague Feedback NeurIPS 2023 impact of sample selection on in-context learning for entity extraction from scientific writing EMNLP 2023 Importance-aware Co-teaching for Offline Model-based Optimization NeurIPS 2023 Im-Promptu: In-Context Composition from Image Prompts NeurIPS 2023 Improved Bounds for Multi-task Learning with Trace Norm Regularization COLT 2023 Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates NeurIPS 2023 Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy ICCV 2023 Improved multi-site Parkinson’s disease classification using neuroimaging data with counterfactual inference MIDL 2023 Improved Visual Fine-tuning with Natural Language Supervision ICCV 2023 Improving and Simplifying Template-Based Named Entity Recognition EACL 2023 Improving Automatic KCD Coding: Introducing the KoDAK and an Optimized Tokenization Method for Korean Clinical Documents ACL 2023 Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers EMNLP 2023 Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations ACL 2023 Improving Differentiable Neural Architecture Search by Encouraging Transferability ICLR 2023 Improving Domain Generalization for Prompt-Aware Essay Scoring via Disentangled Representation Learning ACL 2023 Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data AAAI 2023 Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data NeurIPS 2023 Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level CVPR 2023 Improving Knowledge Production Efficiency With Question Answering on Conversation ACL 2023 Improving Neural Machine Translation of Indigenous Languages with Multilingual Transfer Learning EACL 2023 Improving Object-centric Learning with Query Optimization ICLR 2023 Improving Simultaneous Machine Translation with Monolingual Data AAAI 2023 Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data Interspeech 2023