172 citations · 341 across the 17 of their papers we have counts for
4 papers · 1 filter
How to Backpropagate through Hungarian in Your DETR?
Lingji Chen, Alok Sharma, Chinmay Shirore +2
The DEtection TRansformer (DETR) approach, which uses a transformer encoder-decoder architecture and a set-based global loss, has become a building block in many transformer based…
SEAL : Interactive Tool for Systematic Error Analysis and Labeling
Nazneen Rajani, Weixin Liang, Lingjiao Chen +2
With the advent of Transformers, large language models (LLMs) have saturated well-known NLP benchmarks and leaderboards with high aggregate performance. However, many times these m…
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu +3
Commercial ML APIs offered by providers such as Google, Amazon and Microsoft have dramatically simplified ML adoption in many applications. Numerous companies and academics pay to…
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Lingjiao Chen, Matei Zaharia, James Zou
Deployed machine learning (ML) models often encounter new user data that differs from their training data. Therefore, estimating how well a given model might perform on the new dat…