Alex Fang

According to our database1, Alex Fang authored at least 13 papers between 2020 and 2024.

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Bibliography

2024
DataComp-LM: In search of the next generation of training sets for language models.
CoRR, 2024

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning.
CoRR, 2024

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images.
CoRR, 2024

Language models scale reliably with over-training and on downstream tasks.
CoRR, 2024

Data Filtering Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Priming for Sample-Efficient Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


Does progress on ImageNet transfer to real-world datasets?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Radiance Field Codebooks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP).
Proceedings of the International Conference on Machine Learning, 2022

2020
Evaluating Machine Accuracy on ImageNet.
Proceedings of the 37th International Conference on Machine Learning, 2020

Neural Kernels Without Tangents.
Proceedings of the 37th International Conference on Machine Learning, 2020


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