OmniBench: Towards The Future of Universal Omni-Language Models Paper • 2409.15272 • Published Sep 23, 2024 • 27
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series Paper • 2405.19327 • Published May 29, 2024 • 47
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry Paper • 2303.02552 • Published Mar 5, 2023
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages Paper • 2303.08934 • Published Mar 15, 2023
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision Paper • 2303.07476 • Published Mar 13, 2023
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors Paper • 2107.00821 • Published Jul 2, 2021
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem Paper • 2303.17708 • Published Mar 30, 2023
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software Paper • 2402.00699 • Published Feb 1, 2024 • 2
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning Paper • 2210.12873 • Published Oct 23, 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Paper • 2112.02721 • Published Dec 6, 2021