21 citations · 24 across the 4 of their papers we have counts for
4 papers
Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection
Xin Huang, Ashish Khetan, Rene Bidart +1
Transformer-based language models such as BERT have achieved the state-of-the-art performance on various NLP tasks, but are computationally prohibitive. A recent line of works use…
Squeeze-and-Attention Networks for Semantic Segmentation
Zilong Zhong, Zhong Qiu Lin, Rene Bidart +6
The recent integration of attention mechanisms into segmentation networks improves their representational capabilities through a great emphasis on more informative features. Howeve…
Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift
Rene Bidart, Alexander Wong
In this study, we propose the Affine Variational Autoencoder (AVAE), a variant of Variational Autoencoder (VAE) designed to improve robustness by overcoming the inability of VAEs t…
TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading
Rene Bidart, Alexander Wong
While microscopic analysis of histopathological slides is generally considered as the gold standard method for performing cancer diagnosis and grading, the current method for analy…