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Mu, Norman
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1

Can LLMs Follow Simple Rules?:

Mu, Norman ; Chen, Sarah ; Wang, Zifan...
http://arxiv.org/abs/2311.04235.  , 2023
Link: http://arxiv.org/abs/231..
 
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2

Mark My Words: Analyzing and Evaluating Language Model Wate..:

Piet, Julien ; Sitawarin, Chawin ; Fang, Vivian..
http://arxiv.org/abs/2312.00273.  , 2023
Link: http://arxiv.org/abs/231..
 
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3

SLIP: Self-supervision Meets Language-Image Pre-training:

Mu, Norman ; Kirillov, Alexander ; Wagner, David.
qt7b33366c.  , 2022
Link: https://escholarship.org..
 
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4

SLIP: Self-supervision meets Language-Image Pre-training:

Mu, Norman ; Kirillov, Alexander ; Wagner, David.
http://arxiv.org/abs/2112.12750.  , 2021
Link: http://arxiv.org/abs/211..
 
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5

The Many Faces of Robustness: A Critical Analysis of Out-of..:

Hendrycks, Dan ; Basart, Steven ; Mu, Norman...
http://arxiv.org/abs/2006.16241.  , 2020
Link: http://arxiv.org/abs/200..
 
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6

AugMix: A Simple Data Processing Method to Improve Robustne..:

Hendrycks, Dan ; Mu, Norman ; Cubuk, Ekin D...
http://arxiv.org/abs/1912.02781.  , 2019
Link: http://arxiv.org/abs/191..
 
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7

MNIST-C: A Robustness Benchmark for Computer Vision:

Mu, Norman ; Gilmer, Justin
doi:10.5281/zenodo.3237937.  , 2019
Link: https://zenodo.org/recor..
 
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8

MNIST-C: A Robustness Benchmark for Computer Vision:

Mu, Norman ; Gilmer, Justin
http://arxiv.org/abs/1906.02337.  , 2019
Link: http://arxiv.org/abs/190..
 
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9

MNIST-C: A Robustness Benchmark for Computer Vision:

Mu, Norman ; Gilmer, Justin
doi:10.5281/zenodo.3237937.  , 2019
Link: https://zenodo.org/recor..
 
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10

Parameter Re-Initialization through Cyclical Batch Size Sch..:

Mu, Norman ; Yao, Zhewei ; Gholami, Amir..
http://arxiv.org/abs/1812.01216.  , 2018
Link: http://arxiv.org/abs/181..
 
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11

rwightman/pytorch-image-models: ResNet-RS weights:

Ross Wightman ; Chris Ha ; Aman Arora...
https://github.com/rwightman/pytorch-image-models/tree/v0.1-rs-weights.  , 2021
Link: https://zenodo.org/recor..
 
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12

rwightman/pytorch-image-models: EfficientNet-V2 weights por..:

Ross Wightman ; Chris Ha ; Aman Arora...
https://github.com/rwightman/pytorch-image-models/tree/v0.1-effv2-weights.  , 2021
Link: https://zenodo.org/recor..
 
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13

rwightman/pytorch-image-models: Weights for CoaT (vision tr..:

Ross Wightman ; Chris Ha ; Aman Arora...
https://github.com/rwightman/pytorch-image-models/tree/v0.1-coat-weights.  , 2021
Link: https://zenodo.org/recor..
 
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14

rwightman/pytorch-image-models: v0.4.12. Vision Transformer..:

Ross Wightman ; Aman Arora ; Chris Ha...
https://github.com/rwightman/pytorch-image-models/tree/v0.4.12.  , 2021
Link: https://zenodo.org/recor..
 
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15

rwightman/pytorch-image-models: v0.4.9. EfficientNetV2. MLP..:

Ross Wightman ; Chris Ha ; Aman Arora...
https://github.com/rwightman/pytorch-image-models/tree/v0.4.9.  , 2021
Link: https://zenodo.org/recor..
 
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