no code implementations • 20 Mar 2023 • Aman Shrivastava, P. Thomas Fletcher
In recent years, computational pathology has seen tremendous progress driven by deep learning methods in segmentation and classification tasks aiding prognostic and diagnostic settings.
1 code implementation • 3 Feb 2023 • Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
Recent NLP literature has seen growing interest in improving model interpretability.
1 code implementation • 14 Dec 2021 • Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez
We propose CLIP-Lite, an information efficient method for visual representation learning by feature alignment with textual annotations.
no code implementations • 29 Oct 2021 • Aman Shrivastava, Yanjun Qi, Vicente Ordonez
Our empirical results show that MIMKD outperforms competing approaches across a wide range of student-teacher pairs with different capacities, with different architectures, and when student networks are with extremely low capacity.
1 code implementation • 19 Mar 2021 • Yash Sharma, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown
We regularized the clustering mechanism by introducing a KL-divergence loss between the attention weights of patches in a cluster and the uniform distribution.
1 code implementation • 4 Sep 2019 • Aman Shrivastava, Will Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown
We propose a Self-Attentive Adversarial Stain Normalization (SAASN) approach for the normalization of multiple stain appearances to a common domain.
no code implementations • 8 Aug 2019 • Aman Shrivastava, Karan Kant, Saurav Sengupta, Sung-Jun Kang, Marium Khan, Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed
Physicians use biopsies to distinguish between different but histologically similar enteropathies.