Karan Singhal

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All published works

Action	Title	Year	Authors
+ PDF Chat	OpenAI o1 System Card	2024	OpenAI NULL AUTHOR_ID Aaron Jaech Adam Tauman Kalai Adam Lerer Adam J. Richardson Ahmed El-Kishky A. M. Low Alec Helyar Aleksander Mądry
+ PDF Chat	GPT-4o System Card	2024	OpenAI NULL AUTHOR_ID A. M. Hurst Adam Lerer Adam P. Goucher Adam Perelman Aditya Ramesh Aidan Clark AJ Ostrow Akila Welihinda
+ PDF Chat	Federated Variational Inference: Towards Improved Personalization and Generalization	2024	Elahe Vedadi Joshua V. Dillon P. Mansfield Karan Singhal Arash Afkanpour Warren R. Morningstar
+ PDF Chat	A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models	2024	Stephen Pfohl Heather Cole-Lewis Rory Sayres Darlene Neal Mercy Asiedu Awa Dieng Nenad Tomašev Qazi Mamunur Rashid Shekoofeh Azizi Negar Rostamzadeh
+ PDF Chat	Augmentations vs Algorithms: What Works in Self-Supervised Learning	2024	Warren R. Morningstar A. Bijamov Chris Duvarney Luke Friedman Neha Kalibhat Luyang Liu P. Mansfield Renán A. Rojas-Gómez Karan Singhal Bradley Green
+	Towards Conversational Diagnostic AI	2024	Tao Tu Anil Palepu Mike Schaekermann Khaled Saab Jan Freyberg Ryutaro Tanno Amy Wang Brenna Li Mohamed Amin Nenad Tomašev
+	Towards Expert-Level Medical Question Answering with Large Language Models	2023	Karan Singhal Tao Tu Juraj Gottweis Rory Sayres Ellery Wulczyn Le Hou Kevin Clark Stephen Pfohl Heather Cole-Lewis Darlene Neal
+	Federated Variational Inference: Towards Improved Personalization and Generalization	2023	Elahe Vedadi Joshua V. Dillon P. Mansfield Karan Singhal Arash Afkanpour Warren R. Morningstar
+	Towards Generalist Biomedical AI	2023	Tao Tu Shekoofeh Azizi Danny Driess Mike Schaekermann Mohamed Amin Pi-Chuan Chang Andrew Carroll Chuck Lau Ryutaro Tanno Sofia Ira Ktena
+	Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout	2023	Pengfei Guo Warren R. Morningstar Raviteja Vemulapalli Karan Singhal Vishal M. Patel P. Mansfield
+	Random Field Augmentations for Self-Supervised Representation Learning	2023	P. Mansfield Arash Afkanpour Warren R. Morningstar Karan Singhal
+	Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation	2023	Ryutaro Tanno David G. T. Barrett Andrew Sellergren Sumedh Ghaisas Sumanth Dathathri Abigail See Johannes Welbl Karan Singhal Shekoofeh Azizi Tao Tu
+	Towards Accurate Differential Diagnosis with Large Language Models	2023	Daniel McDuff Mike Schaekermann Tao Tu Anil Palepu Amy Wang Jake Garrison Karan Singhal Yash Pal Sharma Shekoofeh Azizi Kavita Kulkarni
+	SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer	2023	Renán A. Rojas-Gómez Karan Singhal Ali Etemad A. Bijamov Warren R. Morningstar P. Mansfield
+	Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations	2023	Neha Kalibhat Warren R. Morningstar A. Bijamov Luyang Liu Karan Singhal P. Mansfield
+	Solving it correctly: Prevalence and persistence of gender gap in basic mathematics in rural India	2022	Upasak Das Karan Singhal
+	Mixed Federated Learning: Joint Decentralized and Centralized Learning	2022	Sean Augenstein Andrew Hard Ning Lin Karan Singhal Satyen Kale Kurt Partridge Rajiv Mathews
+	Plex: Towards Reliability using Pretrained Large Model Extensions	2022	Dustin Tran Jeremiah Liu Michael W. Dusenberry Du Phan Mark Collier Jie Ren Kehang Han Zi Wang Zelda Mariet Huiyi Hu
+	Federated Training of Dual Encoding Models on Small Non-IID Client Datasets	2022	Raviteja Vemulapalli Warren R. Morningstar P. Mansfield Hubert Eichner Karan Singhal Arash Afkanpour Bradley Green
+	Migrants in India during COVID-19: Better-Off but Far Off	2022	Karan Singhal Ankur Sarin Advaita Rajendra
+	Large Language Models Encode Clinical Knowledge	2022	Karan Singhal Shekoofeh Azizi Tao Tu S. Sara Mahdavi Jason Lee Hyung Won Chung Nathan Scales Ajay Kumar Tanwani Heather Cole-Lewis Stephen Pfohl
+	Solving it correctly Prevalence and Persistence of Gender Gap in Basic Mathematics in rural India	2021	Upasak Das Karan Singhal
+ PDF Chat	What Do We Mean by Generalization in Federated Learning?	2021	Honglin Yuan Warren R. Morningstar Ning Lin Karan Singhal
+	Federated Reconstruction: Partially Local Federated Learning	2021	Karan Singhal Hakim Sidahmed Zachary Garrett Shanshan Wu Keith Rush Sushant Prakash
+	A Field Guide to Federated Optimization	2021	Jianyu Wang Zachary Charles Zheng Xu Gauri Joshi H. Brendan McMahan Blaise Agüera y Arcas Maruan Al-Shedivat Galen Andrew Salman Avestimehr Katharine Daly
+	Learning Federated Representations and Recommendations with Limited Negatives	2021	Lin Ning Karan Singhal Ellie X. Zhou Sushant Prakash
+	What Do We Mean by Generalization in Federated Learning?	2021	Honglin Yuan Warren R. Morningstar Lin Ning Karan Singhal
+	Solving it correctly Prevalence and Persistence of Gender Gap in Basic Mathematics in rural India	2021	Upasak Das Karan Singhal
+	Federated Reconstruction: Partially Local Federated Learning	2021	Karan Singhal Hakim Sidahmed Zachary Garrett Shanshan Wu Keith Rush Sushant Prakash
+	Presence of Women in Economics Academia: Evidence from India	2020	Ambrish A. Dongre Karan Singhal Upasak Das
+	Presence of Women in Economics Academia: Evidence from India	2020	Ambrish A. Dongre Karan Singhal Upasak Das
+ PDF Chat	Learning Multilingual Word Embeddings Using Image-Text Data	2019	Karan Singhal Karthik Raman Balder ten Cate
+	Gender Differences in Mathematics Performance: Evidence from Rural India	2017	Upasak Das Karan Singhal

Common Coauthors

Coauthor	Papers Together
P. Mansfield	12
Warren R. Morningstar	10
Sushant Prakash	8
Shekoofeh Azizi	7
Alan Karthikesalingam	7
Upasak Das	6
Mike Schaekermann	6
Tao Tu	6
Joëlle Barral	6
Yossi Matias	6
Christopher Semturs	6
Greg S. Corrado	6
S. Sara Mahdavi	6
Vivek Natarajan	5
Yun Liu	5
Blaise Agüera y Arcas	4
Bradley Green	4
Arash Afkanpour	4
Juraj Gottweis	4
Nenad Tomašev	4
Hyung Won Chung	3
Ewa Dominowska	3
Mohamed Amin	3
Stephen Pfohl	3
A. Bijamov	3
Heather Cole-Lewis	3
Zachary Garrett	3
Katherine Chou	3
Ryutaro Tanno	3
Ambrish A. Dongre	2
Behrooz Ghorbani	2
Neha Kalibhat	2
Chelsea Voss	2
Neil Chowdhury	2
Hakim Sidahmed	2
Kathleen Wood	2
Jiayi Weng	2
Christopher Hesse	2
Mira Murati	2
Greg Brockman	2
OpenAI	2
Aidan Clark	2
Darlene Neal	2
Jakub Pachocki	2
Dimitris Tsipras	2
Adam Lerer	2
Ilya Sutskever	2
Barret Zoph	2
Joshua V. Dillon	2
Charles J. Hudson	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Federated Meta-Learning with Fast Convergence and Efficient Communication	2018	Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He	4
+	Federated Evaluation of On-device Personalization	2019	Chloé Kiddon Daniel Ramage Françoise Beaufays Hubert Eichner Kangkang Wang Rajiv Mathews	3
+	Adaptive Personalized Federated Learning	2020	Yuyang Deng Mohammad Mahdi Kamani Mehrdad Mahdavi	3
+	The Gender Gap in Math: Its Possible Origins in Neighborhood Effects	1994	Doris R. Entwisle Karl L. Alexander Linda Steffel Olson	3
+	SCAFFOLD: Stochastic Controlled Averaging for Federated Learning	2019	Sai Praneeth Karimireddy Satyen Kale Mehryar Mohri Sashank J. Reddi Sebastian U. Stich Ananda Theertha Suresh	3
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	3
+	Personalized Federated Learning: A Meta-Learning Approach	2020	Alireza Fallah Aryan Mokhtari Asuman Ozdaglar	3
+	Federated Learning of a Mixture of Global and Local Models	2020	Filip Hanzely Peter Richtárik	3
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	3
+	Reptile: a Scalable Metalearning Algorithm	2018	Alex Nichol John Schulman	3
+	Federated Optimization in Heterogeneous Networks	2018	Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	3
+	On First-Order Meta-Learning Algorithms.	2018	Alex Nichol Joshua Achiam John Schulman	3
+	Salvaging Federated Learning by Local Adaptation	2020	Changyuan Yu Eugene Bagdasaryan Vitaly Shmatikov	3
+	Improving Federated Learning Personalization via Model Agnostic Meta Learning	2019	Yihan Jiang Jakub Konečný Keith Rush Sreeram Kannan	3
+	Adaptive Federated Optimization	2021	Sashank J. Reddi Zachary Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konečný Sanjiv Kumar H. Brendan McMahan	2
+	Lower Bounds and Optimal Algorithms for Personalized Federated Learning	2020	Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik	2
+ PDF Chat	FedBN: Federated Learning on Non-IID Features via Local Batch Normalization	2021	Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou	2
+	Federated Accelerated Stochastic Gradient Descent	2020	Honglin Yuan Tengyu Ma	2
+	A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning	2020	Samuel Horváth Peter Richtárik	2
+	Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning	2020	Sai Praneeth Karimireddy Martin Jaggi Satyen Kale Mehryar Mohri Sashank J. Reddi Sebastian U. Stich Ananda Theertha Suresh	2
+	Personalized Cross-Silo Federated Learning on Non-IID Data	2020	Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu Jian Pei Yong Zhang	2
+	A Framework for Evaluating Gradient Leakage Attacks in Federated Learning	2020	Wenqi Wei Ling Liu Margaret L. Loper Ka Ho Chow Mehmet Emre Gürsoy Stacey Truex Yanzhao Wu	2
+	Sex and the Single Hemisphere: Specialization of the Right Hemisphere for Spatial Processing	1976	Sandra F. Witelson	2
+	Tighter Theory for Local SGD on Identical and Heterogeneous Data	2020	Ahmed Khaled Konstantin Mishchenko Peter Richtárik	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Linearly Converging Error Compensated SGD	2020	Eduard Gorbunov Dmitry Kovalev Dmitry I. Makarenko Peter Richtárik	2
+	An Efficient Framework for Clustered Federated Learning	2022	Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran	2
+	Ensemble Distillation for Robust Model Fusion in Federated Learning	2020	Tao Lin Lingjing Kong Sebastian U. Stich Martin Jaggi	2
+	FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning	2020	Hong-You Chen Wei‐Lun Chao	2
+	Three Approaches for Personalization with Applications to Federated Learning	2020	Yishay Mansour Mehryar Mohri Jae Hun Ro Ananda Theertha Suresh	2
+	FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.	2020	Xinwei Zhang Mingyi Hong Sairaj V. Dhople Wotao Yin Yang Liu	2
+	Think Locally, Act Globally: Federated Learning with Local and Global Representations	2020	Paul Pu Liang Terrance Liu Ziyin Liu Ruslan Salakhutdinov Louis‐Philippe Morency	2
+	Federated Learning with Personalization Layers	2019	Manoj Ghuhan Arivazhagan Vinay K. Aggarwal Aaditya Kumar Singh Sunav Choudhary	2
+	Sex Differences in Mathematical Ability: Fact or Artifact?	1980	Camilla Persson Benbow Julian C. Stanley	2
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	2
+	Adaptive Gradient-Based Meta-Learning Methods	2019	Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar	2
+	Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification	2019	Harry Chia-Hung Hsu Hang Qi Matthew A. Brown	2
+	Local SGD Converges Fast and Communicates Little	2018	Sebastian U. Stich	2
+	Federated Optimization in Heterogeneous Networks	2018	Li Tian Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	2
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	2
+	Federated Learning for Mobile Keyboard Prediction	2018	Andrew Hard Chloé Kiddon Daniel Ramage Françoise Beaufays Hubert Eichner K. Praveen Kumar Rao Rajiv Mathews Sean Augenstein	2
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	2
+	Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms	2018	Jianyu Wang Gauri Joshi	2
+	On Biased Compression for Distributed Learning.	2020	Aleksandr Beznosikov Samuel Horváth Peter Richtárik Mher Safaryan	2
+	LEAF: A Benchmark for Federated Settings	2018	Sebastian Caldas Peter Wu Li Tian Jakub Konečný H. Brendan McMahan Virginia Smith Ameet Talwalkar	2
+	Federated Residual Learning.	2020	Alekh Agarwal John Langford Chen-Yu Wei	2
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	2
+	Applied Federated Learning: Improving Google Keyboard Query Suggestions	2018	Timothy T. Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage Françoise Beaufays	2
+ PDF Chat	Meta Matrix Factorization for Federated Rating Predictions	2020	Yujie Lin Pengjie Ren Zhumin Chen Zhaochun Ren Dongxiao Yu Jun Ma Maarten de Rijke Xiuzhen Cheng	2
+	A Field Guide to Federated Optimization	2021	Jianyu Wang Zachary Charles Zheng Xu Gauri Joshi H. Brendan McMahan Blaise Agüera y Arcas Maruan Al-Shedivat Galen Andrew Salman Avestimehr Katharine Daly	2