research
∙
08/14/2023
Approximating Human-Like Few-shot Learning with GPT-based Compression
In this work, we conceptualize the learning process as information compr...
share
research
∙
03/16/2023
Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation
State-of-health (SOH) estimation is a key step in ensuring the safe and ...
research
∙
02/04/2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion
When upgrading neural models to a newer version, new errors that were no...
research
∙
09/12/2022
An Embedding-Based Grocery Search Model at Instacart
The key to e-commerce search is how to best utilize the large yet noisy ...
research
∙
05/07/2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
Behavior of deep neural networks can be inconsistent between different v...
research
∙
02/05/2020
Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents
Techniques for automatically extracting important content elements from ...
research
∙
04/14/2019
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering
Recently, a simple combination of passage retrieval using off-the-shelf ...
research
∙
02/05/2019