research
∙
05/25/2023
Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages
While impressive performance has been achieved on the task of Answer Sen...
share
research
∙
06/21/2022
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
This paper revisits datasets and evaluation criteria for Symbolic Regres...
research
∙
03/16/2022
SC2: Supervised Compression for Split Computing
Split computing distributes the execution of a neural network (e.g., for...
research
∙
01/15/2022
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
Large transformer models can highly improve Answer Sentence Selection (A...
research
∙
08/21/2021
Supervised Compression for Resource-constrained Edge Computing Systems
There has been much interest in deploying deep learning algorithms on lo...
research
∙
11/25/2020
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation
While knowledge distillation (transfer) has been attracting attentions f...
research
∙
07/31/2020
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks
The edge computing paradigm places compute-capable devices - edge server...
research
∙
07/27/2020
