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08/12/2023
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use
We introduce VisIT-Bench (Visual InsTruction Benchmark), a benchmark for...
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09/08/2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Datasets scraped from the internet have been critical to the successes o...
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07/09/2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
For machine learning systems to be reliable, we must understand their pe...
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07/14/2020
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
Conventional CNNs for texture synthesis consist of a sequence of (de)-co...
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07/01/2020
Measuring Robustness to Natural Distribution Shifts in Image Classification
We study how robust current ImageNet models are to distribution shifts a...
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10/17/2019
Autoregressive Models: What Are They Good For?
Autoregressive (AR) models have become a popular tool for unsupervised l...
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05/20/2018
