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07/11/2023
Objaverse-XL: A Universe of 10M+ 3D Objects
Natural language processing and 2D vision models have attained remarkabl...
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06/16/2023
Neural Priming for Sample-Efficient Adaptation
We propose Neural Priming, a technique for adapting large pretrained mod...
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01/10/2023
Neural Radiance Field Codebooks
Compositional representations of the world are a promising step towards ...
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05/26/2022
Matryoshka Representations for Adaptive Deployment
Learned representations are a central component in modern ML systems, se...
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03/30/2022
Task Adaptive Parameter Sharing for Multi-Task Learning
Adapting pre-trained models with broad capabilities has become standard ...
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06/02/2021
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
Learning binary representations of instances and classes is a classical ...
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07/06/2020
In the Wild: From ML Models to Pragmatic ML Systems
Enabling robust intelligence in the wild entails learning systems that o...
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04/14/2020