Michael Cogswell
Michael Cogswell
Verified email at sri.com - Homepage
Title
Cited by
Cited by
Year
Grad-cam: Visual explanations from deep networks via gradient-based localization
RR Selvaraju, M Cogswell, A Das, R Vedantam, D Parikh, D Batra
Proceedings of the IEEE international conference on computer vision, 618-626, 2017
67772017
Reducing overfitting in deep networks by decorrelating representations
M Cogswell, F Ahmed, R Girshick, L Zitnick, D Batra
arXiv preprint arXiv:1511.06068, 2015
3102015
Diverse beam search: Decoding diverse solutions from neural sequence models
AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ...
arXiv preprint arXiv:1610.02424, 2016
2492016
Why M heads are better than one: Training a diverse ensemble of deep networks
S Lee, S Purushwalkam, M Cogswell, D Crandall, D Batra
arXiv preprint arXiv:1511.06314, 2015
1612015
Stochastic multiple choice learning for training diverse deep ensembles
S Lee, SPS Prakash, M Cogswell, V Ranjan, D Crandall, D Batra
Advances in Neural Information Processing Systems, 2119-2127, 2016
1302016
Diverse beam search for improved description of complex scenes
AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ...
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
1032018
Running students' software tests against each others' code: new life for an old" gimmick"
SH Edwards, Z Shams, M Cogswell, RC Senkbeil
Proceedings of the 43rd ACM technical symposium on Computer Science …, 2012
382012
Emergence of compositional language with deep generational transmission
M Cogswell, J Lu, S Lee, D Parikh, D Batra
arXiv preprint arXiv:1904.09067, 2019
322019
Combining the best of graphical models and convnets for semantic segmentation
M Cogswell, X Lin, S Purushwalkam, D Batra
arXiv preprint arXiv:1412.4313, 2014
192014
Dialog without dialog data: Learning visual dialog agents from vqa data
M Cogswell, J Lu, R Jain, S Lee, D Parikh, D Batra
arXiv preprint arXiv:2007.12750, 2020
22020
Abhishek Das
A Das, S Kottur, JMF Moura, S Lee, D Batra, V Dialog, K Gupta, A Singh, ...
22011
Comprehension Based Question Answering using Bloom's Taxonomy
P Sahu, M Cogswell, S Rutherford-Quach, A Divakaran
arXiv preprint arXiv:2106.04653, 2021
12021
Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness
A Ray, M Cogswell, X Lin, K Alipour, A Divakaran, Y Yao, G Burachas
arXiv preprint arXiv:2103.14712, 2021
12021
Understanding Representations and Reducing their Redundancy in Deep Networks
MA Cogswell
Virginia Tech, 2016
12016
Semantic segmentation with deep learning
M Cogswell, D Batra
Scene Understanding Workshop (SUNw) on CVPR, 2014
12014
Trigger Hunting with a Topological Prior for Trojan Detection
X Hu, X Lin, M Cogswell, Y Yao, S Jha, C Chen
arXiv preprint arXiv:2110.08335, 2021
2021
Improving Users’ Mental Model with Attention‐directed Counterfactual Edits
K Alipour, A Ray, X Lin, M Cogswell, JP Schulze, Y Yao, GT Burachas
Applied AI Letters, e47, 2021
2021
Generating and Evaluating Explanations of Attended and Error‐Inducing Input Regions for VQA Models
A Ray, M Cogswell, X Lin, K Alipour, A Divakaran, Y Yao, G Burachas
Applied AI Letters, 2021
2021
Disentangling neural network representations for improved generalization
MA Cogswell
Georgia Institute of Technology, 2020
2020
Reducing Overfitting in Deep Networks by Decorrelating Representations Download PDF
M Cogswell, F Ahmed, R Girshick, L Zitnick, D Batra
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