PowerPC Visual Simulator: Peeking Under the Hood of the PowerPC Engine. - M. Armstead; Michael Cogswell; S. Halverson; T. Musta (ICCD, 1994)

An Automatic Validation Methodology for Logic BIST in High Performance VLSI Design. - Michael Cogswell; Don Pearl; James Sage; Alan Troidl (ICCD, 2000)

Test structure verification of logical BIST: problems and solutions. - Michael Cogswell; Don Pearl; James Sage; Alan Troidl (ITC, 2000)

A Structured Graphical Tool for Analyzing Boundary Scan Violations. - Michael Cogswell; Shazia Mardhani; Kevin Melocco; Hina Arora (ITC, 2002)

Running students' software tests against each others' code: new life for an old "gimmick". - Stephen H. Edwards; Zalia Shams; Michael Cogswell; Robert C. Senkbeil (SIGCSE, 2012)

Combining the Best of Graphical Models and ConvNets for Semantic Segmentation. - Michael Cogswell; Xiao Lin; Senthil Purushwalkam; Dhruv Batra (CoRR, 2014)

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)

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. - Stefan Lee; Senthil Purushwalkam; Michael Cogswell; Viresh Ranjan; David J. Crandall; Dhruv Batra (NIPS, 2016)

Reducing Overfitting in Deep Networks by Decorrelating Representations. - Michael Cogswell; Faruk Ahmed; Ross B. Girshick; Larry Zitnick; Dhruv Batra (ICLR (Poster), 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)

Grad-CAM: Why did you say that? - Ramprasaath R. Selvaraju; Abhishek Das; Ramakrishna Vedantam; Michael Cogswell; Devi Parikh; Dhruv Batra (CoRR, 2016)

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. - Ashwin K. Vijayakumar; Michael Cogswell; Ramprasaath R. Selvaraju; Qing Sun 001; Stefan Lee; David J. Crandall; Dhruv Batra (CoRR, 2016)

Diverse Beam Search for Improved Description of Complex Scenes. - Ashwin K. Vijayakumar; Michael Cogswell; Ramprasaath R. Selvaraju; Qing Sun 001; Stefan Lee; David J. Crandall; Dhruv Batra (AAAI, 2018)

Emergence of Compositional Language with Deep Generational Transmission. - Michael Cogswell; Jiasen Lu; Stefan Lee; Devi Parikh; Dhruv Batra (CoRR, 2019)

Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. - Michael Cogswell; Jiasen Lu; Rishabh Jain; Stefan Lee; Devi Parikh; Dhruv Batra (NeurIPS, 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)

Disentangling neural network representations for improved generalization. - Michael Cogswell (2020)

Comprehension Based Question Answering using Bloom's Taxonomy. - Pritish Sahu; Michael Cogswell; Ajay Divakaran; Sara Rutherford-Quach (RepL4NLP@ACL-IJCNLP, 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)

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)

Trigger Hunting with a Topological Prior for Trojan Detection. - Xiaoling Hu 002; Xiao Lin; Michael Cogswell; Yi Yao; Susmit Jha; Chao Chen 012 (ICLR, 2022)

Unpacking Large Language Models with Conceptual Consistency. - Pritish Sahu; Michael Cogswell; Yunye Gong; Ajay Divakaran (CoRR, 2022)

Probing Conceptual Understanding of Large Visual-Language Models. - Madeline Chantry Schiappa; Michael Cogswell; Ajay Divakaran; Yogesh Singh Rawat (CoRR, 2023)

BloomVQA: Assessing Hierarchical Multi-modal Comprehension. - Yunye Gong; Robik Shrestha; Jared Claypoole; Michael Cogswell; Arijit Ray; Christopher Kanan; Ajay Divakaran (ACL (Findings), 2024)

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 (CVPR, 2024)

Probing Conceptual Understanding of Large Visual-Language Models. - Madeline Schiappa; Raiyaan Abdullah; Shehreen Azad; Jared Claypoole; Michael Cogswell; Ajay Divakaran; Yogesh S. Rawat (CVPR Workshops, 2024)

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. - Yangyi Chen; Karan Sikka; Michael Cogswell; Heng Ji; Ajay Divakaran (NAACL-HLT, 2024)

A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. - Matthew Gwilliam; Michael Cogswell; Meng Ye 002; Karan Sikka; Abhinav Shrivastava; Ajay Divakaran (WACV, 2025)