Ayan Majumdar

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All published works

Action	Title	Year	Authors
+ PDF Chat	Do Invariances in Deep Neural Networks Align with Human Perception?	2023	Vedant Nanda Ayan Majumdar Camila Kolling John P. Dickerson Krishna P. Gummadi Bradley C. Love Adrian Weller
+ PDF Chat	Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making	2022	Miriam Rateike Ayan Majumdar Olga Mineeva Krishna P. Gummadi Isabel Valera
+	Exploring Alignment of Representations with Human Perception	2021	Vedant Nanda Ayan Majumdar Camila Kolling John P. Dickerson Krishna P. Gummadi Bradley C. Love Adrian Weller
+	Do Invariances in Deep Neural Networks Align with Human Perception?	2021	Vedant Nanda Ayan Majumdar Camila Kolling John P. Dickerson Krishna P. Gummadi Bradley C. Love Adrian Weller

Common Coauthors

Coauthor	Papers Together
Krishna P. Gummadi	4
Bradley C. Love	3
John P. Dickerson	3
Adrian Weller	3
Vedant Nanda	3
Camila Kolling	3
Olga Mineeva	1
Miriam Rateike	1
Isabel Valera	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Understanding Deep Image Representations by Inverting Them	2014	Aravindh Mahendran Andrea Vedaldi	2
+ PDF Chat	Controversial stimuli: Pitting neural networks against each other as models of human cognition	2020	Tal Golan Prashant C. Raju Nikolaus Kriegeskorte	2
+ PDF Chat	Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings	2021	Brett D. Roads Bradley C. Love	2
+	Theoretically Principled Trade-off between Robustness and Accuracy	2019	Hongyang Zhang Yaodong Yu Jiantao Jiao Eric P. Xing Laurent El Ghaoui Michael I. Jordan	2
+	Adversarial Self-Supervised Contrastive Learning	2020	Minseon Kim Jihoon Tack Sung Ju Hwang	2
+	Ensemble Adversarial Training: Attacks and Defenses	2017	Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel	2
+	Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?	2019	Simran Kaur Jeremy M. Cohen Zachary C. Lipton	2
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	2
+	Towards Deep Neural Network Architectures Robust to Adversarial Examples	2014	Shixiang Gu Luca Rigazio	2
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	2
+	Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples	2018	Anish Athalye Nicholas Carlini David Wagner	1
+ PDF Chat	Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations	2018	Joshua C. Peterson Joshua T. Abbott Thomas L. Griffiths	1
+	Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)	2017	Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler Fernanda Viégas Rory Sayres	1
+	Insights on representational similarity in neural networks with canonical correlation	2018	Ari S. Morcos Maithra Raghu Samy Bengio	1
+	The Elephant in the Room.	2018	Amir Rosenfeld Richard S. Zemel John K. Tsotsos	1
+	Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation	2018	Liwei Wang Lunjia Hu Jiayuan Gu Yue Wu Zhiqiang Hu Kun He John E. Hopcroft	1
+	On Evaluating Adversarial Robustness	2019	Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Mądry Alexey Kurakin	1
+	Similarity of Neural Network Representations Revisited	2019	Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton	1
+	Certified Adversarial Robustness via Randomized Smoothing	2019	Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter	1
+	Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images	2014	Anh‐Tu Nguyen Jason Yosinski Jeff Clune	1
+	Recognition in Terra Incognita	2018	Sara Beery Grant Van Horn Pietro Perona	1
+	Do ImageNet Classifiers Generalize to ImageNet?	2019	Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar	1
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	1
+ PDF Chat	A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity	2019	Hoda Heidari Michele Loi Krishna P. Gummadi Andreas Krause	1
+ PDF Chat	Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks	2016	Nicolas Papernot Patrick McDaniel Xi Wu Somesh Jha Ananthram Swami	1
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	1
+	Image Synthesis with a Single (Robust) Classifier	2019	Shibani Santurkar Dimitris Tsipras Brandon Tran Andrew Ilyas Logan Engstrom Aleksander Mądry	1
+	Adversarial training for free	2019	Ali Shafahi Mahyar Najibi Mohammad Ghiasi Zheng Xu John P. Dickerson Christoph Studer Larry S. Davis Gavin Taylor Tom Goldstein	1
+	Enhancing Adversarial Defense by k-Winners-Take-All	2019	Chang Xiao Peilin Zhong Changxi Zheng	1
+	Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization	2019	Shiori Sagawa Pang Wei Koh Tatsunori Hashimoto Percy Liang	1
+	On Adaptive Attacks to Adversarial Example Defenses	2020	Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Mądry	1
+ PDF Chat	What's sex got to do with machine learning?	2020	Lily Hu Issa Kohler‐Hausmann	1
+ PDF Chat	Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning	2020	Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang	1
+	The Origins and Prevalence of Texture Bias in Convolutional Neural Networks	2019	Katherine L. Hermann Ting Chen Simon Kornblith	1
+	Do Adversarially Robust ImageNet Models Transfer Better	2020	Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Mądry	1
+	Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity	2020	Maria Attarian Brett D. Roads Michael C. Mozer	1
+ PDF Chat	Array programming with NumPy	2020	C. R. Harris K. Jarrod Millman Stéfan van der Walt Ralf Gommers Pauli Virtanen David Cournapeau Eric Wieser Julian Taylor Sebastian Berg Nathaniel J. Smith	1
+	Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination	2020	Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu	1
+ PDF Chat	Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research	2021	A. Feder Cooper Ellen Abrams Na Na	1
+	Adversarial Robustness as a Prior for Learned Representations	2019	Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Brandon Tran Aleksander Mądry	1
+	Individual Fairness in Hindsight	2018	Ruta Gupta Vijay Kamble	1
+ PDF Chat	Fairness Beyond Disparate Treatment & Disparate Impact	2017	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+	ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness	2018	Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix A. Wichmann Wieland Brendel	1
+	Understanding Neural Networks Through Deep Visualization	2015	Jason Yosinski Jeff Clune Anh Mai Nguyen Thomas J. Fuchs Hod Lipson	1
+ PDF Chat	Fair Contrastive Learning for Facial Attribute Classification	2022	Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang Dohyung Kim Hyeran Byun	1
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+	Convergent Learning: Do different neural networks learn the same representations?	2015	Yixuan Li Jason Yosinski Jeff Clune Hod Lipson John E. Hopcroft	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1