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)

An Unsupervised Framework for Adaptive Context-aware Simplified-Traditional Chinese Character Conversion COLING 2024 An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning CVPR 2024 AnyDoor: Zero-shot Object-level Image Customization CVPR 2024 AnyStar: Domain Randomized Universal Star-Convex 3D Instance Segmentation WACV 2024 AnyTrans: Translate AnyText in the Image with Large Scale Models EMNLP 2024 Any-Way Meta Learning AAAI 2024 A One-Shot Learning Approach To Document Layout Segmentation of Ancient Arabic Manuscripts WACV 2024 A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models ICLR 2024 APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching NAACL 2024 A Persona-Based Corpus in the Diabetes Self-Care Domain - Applying a Human-Centered Approach to a Low-Resource Context COLING 2024 Applying Transfer Learning to German Metaphor Prediction COLING 2024 Approaching Human-Level Forecasting with Language Models NeurIPS 2024 APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs CoRL 2024 A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities AAAI 2024 A Probabilistic Framework for Modular Continual Learning ICLR 2024 A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning NeurIPS 2024 Arabic Speech Recognition of zero-resourced Languages: A case of Shehri (Jibbali) Language COLING 2024 A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024 Arcee’s MergeKit: A Toolkit for Merging Large Language Models EMNLP 2024 Are Emergent Abilities in Large Language Models just In-Context Learning? ACL 2024 A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder COLING 2024 A Reinforcement Learning Approach to Improve Low-Resource Machine Translation Leveraging Domain Monolingual Data COLING 2024 Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning COLING 2024 A RelEntLess Benchmark for Modelling Graded Relations between Named Entities EACL 2024 Are LLMs Good Annotators for Discourse-level Event Relation Extraction? EMNLP 2024