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06/01/2023
Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding
Fine-tuned transformer models have shown superior performances in many n...
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05/13/2022
Leveraging Global Binary Masks for Structure Segmentation in Medical Images
Deep learning (DL) models for medical image segmentation are highly infl...
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02/08/2021
Learning Diagonal Gaussian Mixture Models and Incomplete Tensor Decompositions
This paper studies how to learn parameters in diagonal Gaussian mixture ...
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10/05/2020
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior
Traditional (unstructured) pruning methods for a Transformer model focus...
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01/27/2020
Towards a Human-like Open-Domain Chatbot
We present Meena, a multi-turn open-domain chatbot trained end-to-end on...
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12/16/2019
Hermitian Tensor Decompositions
Hermitian tensors are generalizations of Hermitian matrices, but they ha...
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03/29/2018
Best arm identification in multi-armed bandits with delayed feedback
We propose a generalization of the best arm identification problem in st...
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03/02/2017