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

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12

24

14

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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)

Enhancing Domain Adaptation through Prompt Gradient Alignment NeurIPS 2024 Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning IJCAI 2024 Enhancing Few-Shot Topic Classification with Verbalizers. a Study on Automatic Verbalizer and Ensemble Methods COLING 2024 Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models EMNLP 2024 Enhancing In-Context Learning via Implicit Demonstration Augmentation ACL 2024 Enhancing Instance-Level Image Classification with Set-Level Labels ICLR 2024 Enhancing Large Vision Language Models with Self-Training on Image Comprehension NeurIPS 2024 Enhancing Lexical Complexity Prediction through Few-shot Learning with Gpt-3 COLING 2024 Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data COLING 2024 Enhancing Low-Resource Relation Representations through Multi-View Decoupling AAAI 2024 Enhancing Multi-Label Classification via Dynamic Label-Order Learning AAAI 2024 Enhancing Neural Training via a Correlated Dynamics Model ICLR 2024 Enhancing Neural Transducer for Multilingual ASR with Synchronized Language Diarization Interspeech 2024 Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting ICLR 2024 Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition EMNLP 2024 Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus NeurIPS 2024 Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting ICLR 2024 Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic EMNLP 2024 Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems COLING 2024 Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract) AAAI 2024 Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling ICLR 2024 Enhancing Translation Ability of Large Language Models by Leveraging Task-Related Layers COLING 2024 Enhancing Translation Accuracy of Large Language Models through Continual Pre-Training on Parallel Data ACL 2024 Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection NeurIPS 2024 Enhancing Visual Continual Learning with Language-Guided Supervision CVPR 2024