Alex Fang
Alex Fang
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DataComp: In search of the next generation of multimodal datasets
SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ...
arXiv preprint arXiv:2304.14108, 2023
Evaluating machine accuracy on imagenet
V Shankar, R Roelofs, H Mania, A Fang, B Recht, L Schmidt
International Conference on Machine Learning, 8634-8644, 2020
Neural kernels without tangents
V Shankar, A Fang, W Guo, S Fridovich-Keil, J Ragan-Kelley, L Schmidt, ...
International Conference on Machine Learning, 8614-8623, 2020
Data determines distributional robustness in contrastive language image pre-training (clip)
A Fang, G Ilharco, M Wortsman, Y Wan, V Shankar, A Dave, L Schmidt
International Conference on Machine Learning, 6216-6234, 2022
Multimodal c4: An open, billion-scale corpus of images interleaved with text
W Zhu, J Hessel, A Awadalla, SY Gadre, J Dodge, A Fang, Y Yu, ...
arXiv preprint arXiv:2304.06939, 2023
Data Filtering Networks
A Fang, AM Jose, A Jain, L Schmidt, A Toshev, V Shankar
arXiv preprint arXiv:2309.17425, 2023
Does progress on ImageNet transfer to real-world datasets?
A Fang, S Kornblith, L Schmidt
arXiv preprint arXiv:2301.04644, 2023
Neural Radiance Field Codebooks
M Wallingford, A Kusupati, A Fang, V Ramanujan, A Kembhavi, ...
arXiv preprint arXiv:2301.04101, 2023
Neural Priming for Sample-Efficient Adaptation
M Wallingford, V Ramanujan, A Fang, A Kusupati, R Mottaghi, ...
arXiv preprint arXiv:2306.10191, 2023
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