Michael Cogswell

According to our database, Michael Cogswell authored at least 27 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

BloomVQA: Assessing Hierarchical Multi-modal Comprehension.

Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran

CoRR, 2023

A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval.

Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran

CoRR, 2023

DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback.

Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran

CoRR, 2023

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models.

Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran

CoRR, 2023

Probing Conceptual Understanding of Large Visual-Language Models.

Madeline Chantry Schiappa, Michael Cogswell, Ajay Divakaran, Yogesh Singh Rawat

CoRR, 2023

2022

Unpacking Large Language Models with Conceptual Consistency.

Pritish Sahu, Michael Cogswell, Yunye Gong, Ajay Divakaran

CoRR, 2022

Trigger Hunting with a Topological Prior for Trojan Detection.

Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Improving Users' Mental Model with Attention-directed Counterfactual Edits.

Kamran Alipour, Arijit Ray, Xiao Lin, Michael Cogswell, Jürgen P. Schulze, Yi Yao, Giedrius T. Burachas

CoRR, 2021

Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness.

Arijit Ray, Michael Cogswell, Xiao Lin, Kamran Alipour, Ajay Divakaran, Yi Yao, Giedrius Burachas

CoRR, 2021

Comprehension Based Question Answering using Bloom's Taxonomy.

Pritish Sahu, Michael Cogswell, Ajay Divakaran, Sara Rutherford-Quach

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

2020

Disentangling neural network representations for improved generalization.

Michael Cogswell

PhD thesis, 2020

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization.

Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra

Int. J. Comput. Vis., 2020

Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data.

Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Emergence of Compositional Language with Deep Generational Transmission.

Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, Dhruv Batra

CoRR, 2019

2018

Diverse Beam Search for Improved Description of Complex Scenes.

Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models.

Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra

CoRR, 2016

Grad-CAM: Why did you say that?

Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra

CoRR, 2016

Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization.

Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra

CoRR, 2016

Reducing Overfitting in Deep Networks by Decorrelating Representations.

Michael Cogswell, Faruk Ahmed, Ross B. Girshick, Larry Zitnick, Dhruv Batra

Proceedings of the 4th International Conference on Learning Representations, 2016

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles.

Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks.

Stefan Lee, Senthil Purushwalkam, Michael Cogswell, David J. Crandall, Dhruv Batra

CoRR, 2015

2014

Combining the Best of Graphical Models and ConvNets for Semantic Segmentation.

Michael Cogswell, Xiao Lin, Senthil Purushwalkam, Dhruv Batra

CoRR, 2014

2012

Running students' software tests against each others' code: new life for an old "gimmick".

Stephen H. Edwards, Zalia Shams, Michael Cogswell, Robert C. Senkbeil

Proceedings of the 43rd ACM technical symposium on Computer science education, 2012

2002

A Structured Graphical Tool for Analyzing Boundary Scan Violations.

Michael Cogswell, Shazia Mardhani, Kevin Melocco, Hina Arora

Proceedings of the Proceedings IEEE International Test Conference 2002, 2002

2000

Test structure verification of logical BIST: problems and solutions.

Michael Cogswell, Don Pearl, James Sage, Alan Troidl

Proceedings of the Proceedings IEEE International Test Conference 2000, 2000

An Automatic Validation Methodology for Logic BIST in High Performance VLSI Design.

Michael Cogswell, Don Pearl, James Sage, Alan Troidl

Proceedings of the IEEE International Conference On Computer Design: VLSI In Computers & Processors, 2000

1994

PowerPC Visual Simulator: Peeking Under the Hood of the PowerPC Engine.

M. Armstead, Michael Cogswell, S. Halverson, T. Musta

Proceedings of the Proceedings 1994 IEEE International Conference on Computer Design: VLSI in Computer & Processors, 1994