conftrace_

data selection

221 papers

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Co-occurring keywords

domain adaptation (4595) neural machine translation (2310) large language model (13587) instruction tuning (838) language model (4599) transfer learning (5449) curriculum learning (633) active learning (1301) automatic speech recognition (1774) self-supervised learning (3777)

Papers

Domain-Aware Data Selection for Speech Classification via Meta-Reweighting INTERSPEECH 2024
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection ACL 2024
TSDS: Data Selection for Task-Specific Model Finetuning NIPS 2024
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024
Data Selection Curriculum for Abstractive Text Summarization EMNLP 2023
Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition INTERSPEECH 2023
Unsupervised Active Learning: Optimizing Labeling Cost-Effectiveness for Automatic Speech Recognition INTERSPEECH 2023
Fairness in Streaming Submodular Maximization over a Matroid Constraint ICML 2023
SEPT: Towards Scalable and Efficient Visual Pre-training AAAI 2023
TiDAL: Learning Training Dynamics for Active Learning ICCV 2023
MEAL: Stable and Active Learning for Few-Shot Prompting EMNLP 2023
Enhancing Arabic Machine Translation for E-commerce Product Information: Data Quality Challenges and Innovative Selection Approaches EMNLP 2023
LayoutDM: Transformer-Based Diffusion Model for Layout Generation CVPR 2023
Towards Free Data Selection with General-Purpose Models NIPS 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources NIPS 2023
Bayesian Data Selection JMLR 2023
Improving training datasets for resource-constrained speaker recognition neural networks INTERSPEECH 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks NIPS 2023
Skill-it! A data-driven skills framework for understanding and training language models NIPS 2023
D4: Improving LLM Pretraining via Document De-Duplication and Diversification NIPS 2023
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023
Large-Scale Training Data Search for Object Re-Identification CVPR 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023
Data Selection for Language Models via Importance Resampling NIPS 2023
eTranslation’s Submissions to the WMT22 General Machine Translation Task EMNLP 2022