Alex Fang
13 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
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Conferences
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Keywords
contrastive learning
(2)
zero-shot learning
(2)
distribution shift
(2)
multimodal learning
(2)
transfer learning
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data filtering
(2)
image classification
(2)
image generation
(1)
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generative model
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corpus construction
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distributional robustness
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feature space
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model adaptation
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domain adaptation
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benchmark evaluation
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Papers
Language models scale reliably with over-training and on downstream tasks
ICLR 2025
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
NIPS 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
Data Filtering Networks
ICLR 2024
URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
RSS 2024
Neural Radiance Field Codebooks
ICLR 2023
Does progress on ImageNet transfer to real-world datasets?
NIPS 2023
DataComp: In search of the next generation of multimodal datasets
NIPS 2023
Neural Priming for Sample-Efficient Adaptation
NIPS 2023
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text
NIPS 2023
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
ICML 2022
Evaluating Machine Accuracy on ImageNet
ICML 2020
Neural Kernels Without Tangents
ICML 2020