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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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

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Papers (including subtopics)

Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context COLING 2024 Exploring Self-supervised Logic-enhanced Training for Large Language Models NAACL 2024 Exploring Text Classification for Enhancing Digital Game-Based Language Learning for Irish COLING 2024 Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning ACL 2024 Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers across Diseases COLING 2024 Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy EMNLP 2024 Exploring the Relationship between In-Context Learning and Instruction Tuning EMNLP 2024 Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties EACL 2024 Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation COLING 2024 Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models MIDL 2024 Exponential Quantum Communication Advantage in Distributed Inference and Learning NeurIPS 2024 Extending the BabyLM Initiative : Promoting Diversity in Datasets and Metrics through High-Quality Linguistic Corpora CoNLL 2024 Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NeurIPS 2024 Extracting Training Data from Molecular Pre-trained Models NeurIPS 2024 EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection NeurIPS 2024 Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NeurIPS 2024 FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis COLING 2024 Fair Active Learning in Low-Data Regimes UAI 2024 Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity CVPR 2024 Fair Federated Learning with Biased Vision-Language Models ACL 2024 FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models NeurIPS 2024 Fairness-Aware Meta-Learning via Nash Bargaining NeurIPS 2024 FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis ICLR 2024 Fake It Till Make It: Federated Learning with Consensus-Oriented Generation ICLR 2024