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Kushal Kafle
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Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations


Jul 05, 2022
Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordonez

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OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses


Apr 11, 2022
Robik Shrestha, Kushal Kafle, Christopher Kanan

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Learning to Predict Visual Attributes in the Wild


Jun 17, 2021
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava

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* Accepted to CVPR 2021 
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An Investigation of Critical Issues in Bias Mitigation Techniques


Apr 01, 2021
Robik Shrestha, Kushal Kafle, Christopher Kanan

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On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law


May 19, 2020
Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel

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Do We Need Fully Connected Output Layers in Convolutional Networks?


Apr 29, 2020
Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan

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A negative case analysis of visual grounding methods for VQA


Apr 15, 2020
Robik Shrestha, Kushal Kafle, Christopher Kanan

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REMIND Your Neural Network to Prevent Catastrophic Forgetting


Oct 06, 2019
Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan

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