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04/27/2023
DataComp: In search of the next generation of multimodal datasets
Large multimodal datasets have been instrumental in recent breakthroughs...
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04/10/2023
On Robustness in Multimodal Learning
Multimodal learning is defined as learning over multiple heterogeneous i...
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01/19/2023
Self Supervision Does Not Help Natural Language Supervision at Scale
Self supervision and natural language supervision have emerged as two ex...
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05/03/2022
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Contrastively trained image-text models such as CLIP, ALIGN, and BASIC h...
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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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07/07/2021
Predicting with Confidence on Unseen Distributions
Recent work has shown that the performance of machine learning models ca...
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10/16/2020
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Combining satellite imagery with machine learning (SIML) has the potenti...
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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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03/04/2020
Neural Kernels Without Tangents
We investigate the connections between neural networks and simple buildi...
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01/21/2020
Serverless Straggler Mitigation using Local Error-Correcting Codes
Inexpensive cloud services, such as serverless computing, are often vuln...
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06/05/2019
A systematic framework for natural perturbations from videos
We introduce a systematic framework for quantifying the robustness of cl...
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02/09/2019
Cloud Programming Simplified: A Berkeley View on Serverless Computing
Serverless cloud computing handles virtually all the system administrati...
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10/23/2018
numpywren: serverless linear algebra
Linear algebra operations are widely used in scientific computing and ma...
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06/01/2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Machine learning is currently dominated by largely experimental work foc...
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10/25/2017
Ground Control to Major Tom: the importance of field surveys in remotely sensed data analysis
In this project, we build a modular, scalable system that can collect, s...
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08/03/2017
