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Ping Jin

2 accepted papers

2022

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

NeurIPS 2022accept

Learning visual representations from natural language supervision has recently shown great promise in a number of pioneering works. In general, these language-augmented visual models demonstrate strong transferability to a variety of datasets/tasks. However, it remains challenging to evaluate the tr…

Cited by 159SourcePDFScholar
2019

Concrete: A Per-layer Configurable Framework for Evaluating DNN with Approximate Operators

ICASSP 2019accepted

Approximate computing has drawn considerable attention to both academia and industry in the area of DNN hardware. Despite substantial efforts to design approximate circuits and building blocks, the resilience of DNN layers and structures remains an untapped field to explore. This paper presents an e…

Cited by 0SourceScholar