Ankur Taly

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All published works

Action	Title	Year	Authors
+ PDF Chat	Sufficient Context: A New Lens on Retrieval Augmented Generation Systems	2024	Hailey Joren Jianyi Zhang Chun-Sung Ferng Da-Cheng Juan Ankur Taly Cyrus Rashtchian
+ PDF Chat	Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)	2024	Krishnaram Kenthapadi Mehrnoosh Sameki Ankur Taly
+ PDF Chat	Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting	2024	Zilong Wang Zifeng Wang Long Tan Le Huaixiu Zheng Swaroop Mishra Vinçent Pérot Yuwei Zhang Anush Mattapalli Ankur Taly Jingbo Shang
+ PDF Chat	Which Pretrain Samples to Rehearse when Finetuning Pretrained Models?	2024	Andrew Bai Chih‐Kuan Yeh Cho‐Jui Hsieh Ankur Taly
+	Identifying and Mitigating the Security Risks of Generative AI	2023	Clark Barrett Brad Boyd Elie Burzstein Nicholas Carlini Brad Chen Jihye Choi Amrita Roy Chowdhury Mihai Christodorescu Anupam Datta Soheil Feizi
+	Identifying and Mitigating the Security Risks of Generative AI	2023	Clark Barrett Brad Boyd Elie Bursztein Nicholas Carlini Brad Chen Jihye Choi Amrita Roy Chowdhury Mihai Christodorescu Anupam Datta Soheil Feizi
+ PDF Chat	Identifying and Mitigating the Security Risks of Generative AI	2023	Clark Barrett Brad Boyd Elie Bursztein Nicholas Carlini Brad Chen Jihye Choi Amrita Roy Chowdhury Mihai Christodorescu Anupam Datta Soheil Feizi
+ PDF Chat	First is Better Than Last for Training Data Influence	2022	Chih‐Kuan Yeh Ankur Taly Mukund Sundararajan Frederick Liu Pradeep Ravikumar
+	Interpretable Mixture of Experts	2022	Aya Abdelsalam Ismail Sercan Ö. Arık Jinsung Yoon Ankur Taly Soheil Feizi Tomas Pfister
+	First is Better Than Last for Language Data Influence	2022	Chih‐Kuan Yeh Ankur Taly Mukund Sundararajan Frederick Liu Pradeep Ravikumar
+	A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms	2021	Ana Lučić Madhulika Srikumar Umang Bhatt Alice Xiang Ankur Taly Q. Vera Liao Maarten de Rijke
+ PDF Chat	Local Explanations Via Necessity and Sufficiency: Unifying Theory and Practice	2021	David Watson Limor Gultchin Ankur Taly Luciano Floridi
+	Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice	2021	David Watson Limor Gultchin Ankur Taly Luciano Floridi
+	Explainable machine learning in deployment	2020	Umang Bhatt Alice Xiang Shubham Sharma Adrian Weller Ankur Taly Yunhan Jia Joydeep Ghosh Ruchir Puri José M. F. Moura Peter Eckersley
+ PDF Chat	The Explanation Game: Explaining Machine Learning Models Using Shapley Values	2020	Luke Merrick Ankur Taly
+ PDF Chat	Property Inference for Deep Neural Networks	2019	Divya Gopinath Hayes Converse Corina S. Păsăreanu Ankur Taly
+	The Explanation Game: Explaining Machine Learning Models Using Shapley Values	2019	Luke Merrick Ankur Taly
+	Explainable Machine Learning in Deployment	2019	Umang Bhatt Alice Xiang Shubham Sharma Adrian Weller Ankur Taly Yunhan Jia Joydeep Ghosh Ruchir Puri José M. F. Moura Peter Eckersley
+ PDF Chat	Using attribution to decode binding mechanism in neural network models for chemistry	2019	Kevin McCloskey Ankur Taly Federico Monti Michael P. Brenner Lucy J. Colwell
+	Finding Invariants in Deep Neural Networks.	2019	Divya Gopinath Ankur Taly Hayes Converse Corina S. Păsăreanu
+	Property Inference for Deep Neural Networks	2019	Divya Gopinath Hayes Converse Corina S. Păsăreanu Ankur Taly
+	Counterfactual Fairness in Text Classification through Robustness	2019	Sahaj Garg Vincent Perot Nicole Limtiaco Ankur Taly Ed H. Alex Beutel
+	The Explanation Game: Explaining Machine Learning Models Using Shapley Values	2019	Luke Merrick Ankur Taly
+	Explainable Machine Learning in Deployment	2019	Umang Bhatt Alice Xiang Shubham Sharma Adrian Weller Ankur Taly Yunhan Jia J. Ghosh Ruchir Puri José M. F. Moura Peter Eckersley
+	Property Inference for Deep Neural Networks	2019	Divya Gopinath Hayes Converse Corina S. Păsăreanu Ankur Taly
+	Counterfactual Fairness in Text Classification through Robustness	2018	Sahaj Garg Vincent Perot Nicole Limtiaco Ankur Taly Ed H. Alex Beutel
+	Did the Model Understand the Question	2018	Pramod Kaushik Mudrakarta Ankur Taly Mukund Sundararajan Kedar Dhamdhere
+	It was the training data pruning too!	2018	Pramod Kaushik Mudrakarta Ankur Taly Mukund Sundararajan Kedar Dhamdhere
+	A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values	2018	Mukund Sundararajan Ankur Taly
+ PDF Chat	Did the Model Understand the Question?	2018	Pramod Kaushik Mudrakarta Ankur Taly Mukund Sundararajan Kedar Dhamdhere
+	Counterfactual Fairness in Text Classification through Robustness	2018	Sahaj Garg Vinçent Pérot Nicole Limtiaco Ankur Taly Ed H. Alex Beutel
+	Did the Model Understand the Question?	2018	Pramod Kaushik Mudrakarta Ankur Taly Mukund Sundararajan Kedar Dhamdhere
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan
+	Abductive Matching in Question Answering	2017	Kedar Dhamdhere Kevin S. McCurley Mukund Sundararajan Ankur Taly
+	Distributed Authorization in Vanadium	2016	Andres Erbsen Asim Shankar Ankur Taly
+ PDF Chat	Privacy, Discovery, and Authentication for the Internet of Things	2016	David J. Wu Ankur Taly Asim Shankar Dan Boneh
+ PDF Chat	Distributed Authorization in Vanadium	2016	Ankur Taly Asim Shankar
+	Gradients of Counterfactuals	2016	Mukund Sundararajan Ankur Taly Qiqi Yan
+	Privacy, Discovery, and Authentication for the Internet of Things	2016	David J. Wu Ankur Taly Asim Shankar Dan Boneh
+	Distributed Authorization in Vanadium	2016	Andres Erbsen Asim Shankar Ankur Taly

Common Coauthors

Coauthor	Papers Together
Mukund Sundararajan	11
Asim Shankar	5
Kedar Dhamdhere	5
Alice Xiang	4
Corina S. Păsăreanu	4
Pramod Kaushik Mudrakarta	4
Divya Gopinath	4
Soheil Feizi	4
Hayes Converse	4
Umang Bhatt	4
Diyi Yang	3
Khawaja Shams	3
Dan Hendrycks	3
Zulfikar Ramzan	3
Somesh Jha	3
Qiqi Yan	3
Clark Barrett	3
John C. Mitchell	3
Ed H.	3
Alex Beutel	3
Peter Eckersley	3
Luke Merrick	3
Eric Mitchell	3
Brad Chen	3
Nicholas Carlini	3
Daniel Kang	3
Kathleen Fisher	3
Brad Boyd	3
Adrian Weller	3
Ruchir Puri	3
Chih‐Kuan Yeh	3
José M. F. Moura	3
Amrita Roy Chowdhury	3
Nicole Limtiaco	3
Mihai Christodorescu	3
Jihye Choi	3
Yunhan Jia	3
Sahaj Garg	3
Tatsunori Hashimoto	3
Anupam Datta	3
Andres Erbsen	2
Vincent Perot	2
David J. Wu	2
Dawn Song	2
Dan Boneh	2
Frederick Liu	2
Luciano Floridi	2
Pradeep Ravikumar	2
Vinçent Pérot	2
Elie Bursztein	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	9
+	Not Just a Black Box: Learning Important Features Through Propagating Activation Differences	2016	Avanti Shrikumar Peyton Greenside А.В. Щербина Anshul Kundaje	7
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	7
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	7
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	6
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	6
+	Towards A Rigorous Science of Interpretable Machine Learning	2017	Finale Doshi‐Velez Been Kim	6
+	Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers	2016	Alexander Binder Grégoire Montavon Sebastian Bach Klaus‐Robert Müller Wojciech Samek	5
+	How to Explain Individual Classification Decisions	2009	David Baehrens Timon Schroeter Stefan Harmeling Motoaki Kawanabe Katja Hansen Klaus‐Robert Müller	5
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	5
+ PDF Chat	Interpretable Explanations of Black Boxes by Meaningful Perturbation	2017	Ruth Fong Andrea Vedaldi	4
+ PDF Chat	Explaining Explanations in AI	2019	Brent Mittelstadt Chris Russell Sandra Wachter	4
+	Compositional Semantic Parsing on Semi-Structured Tables	2015	Panupong Pasupat Percy Liang	4
+	Learning a Natural Language Interface with Neural Programmer	2016	Arvind Neelakantan Quoc V. Le Martı́n Abadi Andrew McCallum Dario Amodei	4
+ PDF Chat	Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks	2017	Guy Katz Clark Barrett David L. Dill Kyle D. Julian Mykel J. Kochenderfer	3
+	Understanding Neural Networks Through Deep Visualization	2015	Jason Yosinski Jeff Clune Anh Mai Nguyen Thomas J. Fuchs Hod Lipson	3
+	Learning how to explain neural networks: PatternNet and PatternAttribution	2017	Pieter Jan Kindermans Kristof T. Schütt Maximilian Alber K. Müller Dumitru Erhan Been Kim Sven Dähne	3
+ PDF Chat	Building high-level features using large scale unsupervised learning	2013	Quoc V. Le	3
+ PDF Chat	A Survey of Methods for Explaining Black Box Models	2018	Riccardo Guidotti Anna Monreale Salvatore Ruggieri Franco Turini Fosca Giannotti Dino Pedreschi	3
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	3
+	Efficient Formal Safety Analysis of Neural Networks	2018	Shiqi Wang Kexin Pei Justin Whitehouse Junfeng Yang Suman Jana	3
+	Deep Neural Networks as 0-1 Mixed Integer Linear Programs: A Feasibility Study	2017	Matteo Fischetti Jason Jo	3
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	3
+ PDF Chat	Red Teaming Language Models with Language Models	2022	Ethan Perez Saffron Huang Francis Song Trevor Cai Roman Ring John Aslanides Amelia Glaese Nat McAleese Geoffrey Irving	3
+ PDF Chat	Actionable Recourse in Linear Classification	2019	Berk Ustun Alexander Spangher Yang Liu	3
+	How Important Is a Neuron	2018	Kedar Dhamdhere Mukund Sundararajan Qiqi Yan	3
+	Adversarial Machine Learning at Scale	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	3
+ PDF Chat	The mythos of model interpretability	2018	Zachary C. Lipton	3
+	Generating Natural Adversarial Examples	2017	Zhengli Zhao Dheeru Dua Sameer Singh	3
+ PDF Chat	Understanding deep image representations by inverting them	2015	Aravindh Mahendran Andrea Vedaldi	3
+	Explaining individual predictions when features are dependent: More accurate approximations to Shapley values	2019	Kjersti Aas Martin Jullum Anders Løland	3
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	3
+	Inverting Visual Representations with Convolutional Networks	2015	Alexey Dosovitskiy Thomas Brox	3
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	2
+	Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation	2019	Marco Ancona Cengiz Öztireli Markus Groß	2
+	GLTR: Statistical Detection and Visualization of Generated Text	2019	Sebastian Gehrmann Hendrik Strobelt Alexander M. Rush	2
+	"Why Should I Trust You?": Explaining the Predictions of Any Classifier	2016	Marco Túlio Ribeiro Sameer Singh Carlos Guestrin	2
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	2
+	Statistics and Causal Inference	1986	Paul W. Holland	2
+	Data Squashing: Constructing Summary Data Sets	2002	William DuMouchel	2
+	BERTScore: Evaluating Text Generation with BERT	2019	Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi	2
+	Going Deeper with Convolutions	2014	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+	An Analysis of Visual Question Answering Algorithms	2017	Kushal Kafle Christopher Kanan	2
+	Formal Security Analysis of Neural Networks using Symbolic Intervals	2018	Shiqi Wang Kexin Pei Justin Whitehouse Junfeng Yang Suman Jana	2
+	Model-Agnostic Interpretability of Machine Learning	2016	Marco Túlio Ribeiro Sameer Singh Carlos Guestrin	2
+ PDF Chat	Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy	1986	B. Efron R. Tibshirani	2
+	It was the training data pruning too!	2018	Pramod Kaushik Mudrakarta Ankur Taly Mukund Sundararajan Kedar Dhamdhere	2
+ PDF Chat	Top-Down Neural Attention by Excitation Backprop	2017	Jianming Zhang Sarah Adel Bargal Zhe Lin Jonathan Brandt Xiaohui Shen Stan Sclaroff	2
+	Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives	2018	Amit Dhurandhar Pin‐Yu Chen Ronny Luss Chun‐Chen Tu Paishun Ting Karthikeyan Shanmugam Payel Das	2
+	Towards Aggregating Weighted Feature Attributions	2019	Umang Bhatt Pradeep Ravikumar José M. F. Moura	2