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ORCIDMichael Cogswell
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Books and Theses
- 2020
[b1]Michael Cogswell:
Disentangling neural network representations for improved generalization. Georgia Institute of Technology, Atlanta, GA, USA, 2020
Journal Articles
- 2020
- [j1]Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra:
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. Int. J. Comput. Vis. 128(2): 336-359 (2020)
Conference and Workshop Papers
- 2024
- [c16]Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran:
BloomVQA: Assessing Hierarchical Multi-modal Comprehension. ACL (Findings) 2024: 14905-14918 - [c15]Madeline Schiappa, Raiyaan Abdullah, Shehreen Azad, Jared Claypoole, Michael Cogswell, Ajay Divakaran, Yogesh S. Rawat:
Probing Conceptual Understanding of Large Visual-Language Models. CVPR Workshops 2024: 1797-1807 - [c14]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
DRESS : Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. CVPR 2024: 14239-14250 - [c13]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. NAACL-HLT 2024: 192-210 - 2022
- [c12]Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen:
Trigger Hunting with a Topological Prior for Trojan Detection. ICLR 2022 - 2021
- [c11]Pritish Sahu, Michael Cogswell, Ajay Divakaran, Sara Rutherford-Quach:
Comprehension Based Question Answering using Bloom's Taxonomy. RepL4NLP@ACL-IJCNLP 2021: 20-28 - 2020
- [c10]Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra:
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. NeurIPS 2020 - 2018
- [c9]Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra:
Diverse Beam Search for Improved Description of Complex Scenes. AAAI 2018: 7371-7379 - 2017
- [c8]Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra:
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. ICCV 2017: 618-626 - 2016
- [c7]Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra:
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. NIPS 2016: 2119-2127 - [c6]Michael Cogswell, Faruk Ahmed, Ross B. Girshick, Larry Zitnick, Dhruv Batra:
Reducing Overfitting in Deep Networks by Decorrelating Representations. ICLR (Poster) 2016 - 2012
- [c5]Stephen H. Edwards, Zalia Shams, Michael Cogswell, Robert C. Senkbeil:
Running students' software tests against each others' code: new life for an old "gimmick". SIGCSE 2012: 221-226 - 2002
- [c4]Michael Cogswell, Shazia Mardhani, Kevin Melocco, Hina Arora:
A Structured Graphical Tool for Analyzing Boundary Scan Violations. ITC 2002: 755-762 - 2000
- [c3]Michael Cogswell, Don Pearl, James Sage, Alan Troidl:
An Automatic Validation Methodology for Logic BIST in High Performance VLSI Design. ICCD 2000: 473-478 - [c2]Michael Cogswell, Don Pearl, James Sage, Alan Troidl:
Test structure verification of logical BIST: problems and solutions. ITC 2000: 123-130 - 1994
- [c1]M. Armstead, Michael Cogswell, S. Halverson, T. Musta:
PowerPC Visual Simulator: Peeking Under the Hood of the PowerPC Engine. ICCD 1994: 413-418
Informal and Other Publications
- 2023
- [i18]Madeline Chantry Schiappa, Michael Cogswell, Ajay Divakaran, Yogesh Singh Rawat:
Probing Conceptual Understanding of Large Visual-Language Models. CoRR abs/2304.03659 (2023) - [i17]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. CoRR abs/2309.04461 (2023) - [i16]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. CoRR abs/2311.10081 (2023) - [i15]Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran:
A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. CoRR abs/2312.00115 (2023) - [i14]Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran:
BloomVQA: Assessing Hierarchical Multi-modal Comprehension. CoRR abs/2312.12716 (2023) - 2022
- [i13]Pritish Sahu, Michael Cogswell, Yunye Gong, Ajay Divakaran:
Unpacking Large Language Models with Conceptual Consistency. CoRR abs/2209.15093 (2022) - 2021
- [i12]Arijit Ray, Michael Cogswell, Xiao Lin, Kamran Alipour, Ajay Divakaran, Yi Yao, Giedrius Burachas:
Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness. CoRR abs/2103.14712 (2021) - [i11]Pritish Sahu, Michael Cogswell, Sara Rutherford-Quach, Ajay Divakaran:
Comprehension Based Question Answering using Bloom's Taxonomy. CoRR abs/2106.04653 (2021) - [i10]Kamran Alipour, Arijit Ray, Xiao Lin, Michael Cogswell, Jürgen P. Schulze, Yi Yao, Giedrius T. Burachas:
Improving Users' Mental Model with Attention-directed Counterfactual Edits. CoRR abs/2110.06863 (2021) - [i9]Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen:
Trigger Hunting with a Topological Prior for Trojan Detection. CoRR abs/2110.08335 (2021) - 2020
- [i8]Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra:
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. CoRR abs/2007.12750 (2020) - 2019
- [i7]Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, Dhruv Batra:
Emergence of Compositional Language with Deep Generational Transmission. CoRR abs/1904.09067 (2019) - 2016
- [i6]Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra:
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. CoRR abs/1606.07839 (2016) - [i5]Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra:
Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. CoRR abs/1610.02391 (2016) - [i4]Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra:
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. CoRR abs/1610.02424 (2016) - [i3]Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra:
Grad-CAM: Why did you say that? CoRR abs/1611.07450 (2016) - 2015
- [i2]Stefan Lee, Senthil Purushwalkam, Michael Cogswell, David J. Crandall, Dhruv Batra:
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks. CoRR abs/1511.06314 (2015) - 2014
- [i1]Michael Cogswell, Xiao Lin, Senthil Purushwalkam, Dhruv Batra:
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation. CoRR abs/1412.4313 (2014)
Coauthor Index
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