Sang Michael Xie

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All published works

Action	Title	Year	Authors
+	Some notes on spaces realized as classifying spaces	2024	Yang Bai Xiugui Liu Sang Michael Xie
+ PDF Chat	A Survey on Data Selection for Language Models	2024	Alon Albalak Yanai Elazar Sang Michael Xie Shayne Longpre Nathan Lambert Xinyi Wang Niklas Muennighoff Bairu Hou Liangming Pan Haewon Jeong
+ PDF Chat	Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations	2024	Helen Qu Sang Michael Xie
+	Data Selection for Language Models via Importance Resampling	2023	Sang Michael Xie Shibani Santurkar Tengyu Ma Percy Liang
+	Reward Design with Language Models	2023	Minae Kwon Sang Michael Xie Kalesha Bullard Dorsa Sadigh
+	DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining	2023	Sang Michael Xie Hieu Pham Xuanyi Dong Nan Du Hanxiao Liu Yifeng Lu Percy Liang Quoc V. Le Tengyu Ma Adams Wei Yu
+	Automatic Model Selection with Large Language Models for Reasoning	2023	James Zhao Yuxi Xie Kenji Kawaguchi Junxian He Sang Michael Xie
+	Rational homotopy types of mapping spaces via cohomology algebras	2022	Sang Michael Xie Jian Liu Jianming Xiao Xiugui Liu
+	Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation	2022	Kendrick Shen R. Jones Ananya Kumar Sang Michael Xie Jeff Z. HaoChen Tengyu Ma Percy Liang
+	Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models	2022	Hong Liu Sang Michael Xie Zhiyuan Li Tengyu Ma
+	Holistic Evaluation of Language Models	2022	Percy Liang Rishi Bommasani Tong Lee Dimitris Tsipras Dilara Soylu Michihiro Yasunaga Yian Zhang Deepak Narayanan Yuhuai Wu Ananya Kumar
+	Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning	2021	Colin Wei Sang Michael Xie Tengyu Ma
+ PDF Chat	An Explanation of In-context Learning as Implicit Bayesian Inference	2021	Sang Michael Xie Aditi Raghunathan Percy Liang Tengyu Ma
+	Simplifying Models with Unlabeled Output Data	2021	Sang Michael Xie Tengyu Ma Percy Liang
+	Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning	2021	Colin Wei Sang Michael Xie Tengyu Ma
+	On the Opportunities and Risks of Foundation Models	2021	Rishi Bommasani Drew A. Hudson Ehsan Adeli Russ B. Altman Simran Arora Sydney von Arx Michael S. Bernstein Jeannette Bohg Antoine Bosselut Emma Brunskill
+	No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets	2021	Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang
+	Extending the WILDS Benchmark for Unsupervised Adaptation	2021	Shiori Sagawa Pang Wei Koh Tong Lee Irena Gao Sang Michael Xie Kendrick Shen Ananya Kumar Weihua Hu Michihiro Yasunaga Henrik Marklund
+	An Explanation of In-context Learning as Implicit Bayesian Inference	2021	Sang Michael Xie Aditi Raghunathan Percy Liang Tengyu Ma
+	WILDS: A Benchmark of in-the-Wild Distribution Shifts	2020	Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang Akshay Balsubramani Weihua Hu Michihiro Yasunaga Richard L. Phillips Irena Gao
+	In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness	2020	Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang
+	Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization	2020	Sang Michael Xie Tengyu Ma Percy Liang
+	Understanding and Mitigating the Tradeoff Between Robustness and Accuracy	2020	Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang
+	Rational homotopy type of mapping spaces via cohomology algebras	2020	Sang Michael Xie Jian Liu Xiugui Liu
+	In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness	2020	Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang
+	WILDS: A Benchmark of in-the-Wild Distribution Shifts	2020	Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang Akshay Balsubramani Weihua Hu Michihiro Yasunaga Richard L. Phillips Irena Gao
+	Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization	2020	Sang Michael Xie Tengyu Ma Percy Liang
+	When Covariate-shifted Data Augmentation Increases Test Error And How to Fix It	2019	Sang Michael Xie Aditi Raghunathan Fanny Yang John C. Duchi Percy Liang
+ PDF Chat	A Soft Range Limited K-Nearest Neighbours Algorithm for Indoor Localization Enhancement	2019	Minh Tu Hoang Yizhou Zhu Brosnan Yuen Tyler Reese Xiaodai Dong Tao Lü Robert Westendorp Sang Michael Xie
+	Reparameterizable Subset Sampling via Continuous Relaxations	2019	Sang Michael Xie Stefano Ermon
+	Reparameterizable Subset Sampling via Continuous Relaxations	2019	Sang Michael Xie Stefano Ermon
+	Adversarial Training Can Hurt Generalization	2019	Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang
+	Reparameterizable Subset Sampling via Continuous Relaxations	2019	Sang Michael Xie Stefano Ermon
+ PDF Chat	A Soft Range Limited K-Nearest Neighbors Algorithm for Indoor Localization Enhancement	2018	Minh Tu Hoang Yizhou Zhu Brosnan Yuen Tyler Reese Xiaodai Dong Tao Lü Robert Westendorp Sang Michael Xie
+	Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance	2018	Neal Jean Sang Michael Xie Stefano Ermon
+	Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance	2018	Neal Jean Sang Michael Xie Stefano Ermon
+ PDF Chat	Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping	2016	Sang Michael Xie Neal Jean Marshall Burke David B. Lobell Stefano Ermon
+	Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping	2015	Sang Michael Xie Neal Jean Marshall Burke David B. Lobell Stefano Ermon

Common Coauthors

Coauthor	Papers Together
Percy Liang	19
Tengyu Ma	14
Ananya Kumar	7
Aditi Raghunathan	6
Michihiro Yasunaga	5
Tong Lee	5
Stefano Ermon	5
Pang Wei Koh	4
Chelsea Finn	4
Jure Leskovec	4
Neal Jean	4
Tatsunori Hashimoto	4
Shiori Sagawa	4
Fereshte Khani	3
Sergey Levine	3
Xiugui Liu	3
John C. Duchi	3
Sara Beery	3
Étienne David	3
Irena Gao	3
Ian Stavness	3
Weihua Hu	3
Stefano Ermon	3
Henrik Marklund	3
Wei Guo	3
Fanny Yang	3
Omar Khattab	2
Faisal Ladhak	2
Esin Durmus	2
Tyler Reese	2
Yizhou Zhu	2
Thomas Icard	2
Brosnan Yuen	2
Rishi Bommasani	2
Keshav Santhanam	2
Neel Guha	2
Shibani Santurkar	2
Deepak Narayanan	2
Berton Earnshaw	2
Laurel Orr	2
Imran S. Haque	2
Tao Lű	2
Lucia Zheng	2
Xiaodai Dong	2
Marvin Zhang	2
Yuhuai Wu	2
Peter Henderson	2
Frieda Rong	2
Marshall Burke	2
Niladri S. Chatterji	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping	2016	Sang Michael Xie Neal Jean Marshall Burke David B. Lobell Stefano Ermon	6
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+	Understanding Self-Training for Gradual Domain Adaptation	2020	Ananya Kumar Tengyu Ma Percy Liang	4
+	Are Labels Required for Improving Adversarial Robustness	2019	Jean-Baptiste Alayrac Jonathan Uesato Po-Sen Huang Alhussein Fawzi Robert Stanforth Pushmeet Kohli	4
+ PDF Chat	Infinitesimal computations in topology	1977	Dennis Sullivan	3
+ 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	3
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	3
+	Invariant Risk Minimization	2019	Martín Arjovsky Léon Bottou Ishaan Gulrajani David López-Paz	3
+ PDF Chat	Snorkel	2017	Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Fries Sen Wu Christopher Ré	3
+ PDF Chat	Self-Training With Noisy Student Improves ImageNet Classification	2020	Qizhe Xie Minh-Thang Luong Eduard Hovy Quoc V. Le	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Frustratingly Easy Domain Adaptation	2009	Hal Daumé	3
+	The Power of Scale for Parameter-Efficient Prompt Tuning	2021	Brian Lester Rami Al‐Rfou Noah Constant	3
+ PDF Chat	Moment Matching for Multi-Source Domain Adaptation	2019	Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang	3
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	3
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	3
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	3
+	Prefix-Tuning: Optimizing Continuous Prompts for Generation	2021	Xiang Lisa Li Percy Liang	3
+	Few-Shot Learning via Learning the Representation, Provably	2020	Simon S. Du Wei Hu Sham M. Kakade Jason D. Lee Qi Lei	3
+	Using Pre-Training Can Improve Model Robustness and Uncertainty	2019	Dan Hendrycks Kimin Lee Mantas Mazeika	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+	CyCADA: Cycle-Consistent Adversarial Domain Adaptation	2017	Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell	3
+	Making Pre-trained Language Models Better Few-shot Learners	2021	Tianyu Gao Adam Fisch Danqi Chen	3
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	2
+	Maurer–Cartan moduli and models for function spaces	2013	Andrey Lazarev	2
+ PDF Chat	Adversarial Examples for Evaluating Reading Comprehension Systems	2017	Robin Jia Percy Liang	2
+ PDF Chat	Reducing Gender Bias in Abusive Language Detection	2018	Ji Ho Park Jamin Shin Pascale Fung	2
+	Learning to Explain: An Information-Theoretic Perspective on Model Interpretation	2018	Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan	2
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	2
+	CAD2RL: Real Single-Image Flight Without a Single Real Image	2017	Fereshteh Sadeghi Sergey Levine	2
+	Return of the Devil in the Details: Delving Deep into Convolutional Nets	2014	Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman	2
+	Deep Contextualized Word Representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	2
+	CNN Features off-the-shelf: an Astounding Baseline for Recognition	2014	Ali Sharif Razavian Hossein Azizpour Josephine Sullivan Stefan Carlsson	2
+ PDF Chat	Criteria for components of a function space to be homotopy equivalent	2008	Gregory Lupton Samuel Bruce Smith	2
+	SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing	2018	Taku Kudo John T. E. Richardson	2
+	A Theoretical Analysis of Contrastive Unsupervised Representation Learning	2019	Sanjeev Arora Hrishikesh Khandeparkar Mikhail Khodak Orestis Plevrakis Nikunj Saunshi	2
+	Algebraic models of non-connected spaces and homotopy theory of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" display="inline" overflow="scroll"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math>algebras	2013	Urtzi Buijs Aniceto Murillo	2
+	Visualizing and Understanding Convolutional Networks	2013	Matthew D. Zeiler Rob Fergus	2
+	The Measure and Mismeasure of Fairness	2018	Sam Corbett‐Davies Sharad Goel	2
+	Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime	2018	Dengxin Dai Luc Van Gool	2
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	2
+	The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables	2016	Chris J. Maddison Andriy Mnih Yee Whye Teh	2
+ PDF Chat	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning	2017	Justin Johnson Bharath Hariharan Laurens van der Maaten Li Fei-Fei C. Lawrence Zitnick Ross Girshick	2
+	Regularized Learning for Domain Adaptation under Label Shifts	2019	Kamyar Azizzadenesheli Anqi Liu Fanny Yang Animashree Anandkumar	2
+ PDF Chat	Rational homotopy of spaces of maps into spheres and complex projective spaces	1985	Jesper M. Møller Martin Raußen	2
+	Predictive Inequity in Object Detection	2019	Benjamin Wilson Judy Hoffman Jamie Morgenstern	2
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	2
+	Fully Convolutional Networks for Semantic Segmentation	2016	Jonathan Long Evan Shelhamer Trevor Darrell	2
+ PDF Chat	Deformation Quantization of Poisson Manifolds	2003	Maxim Kontsevich	2
+ PDF Chat	Rational homotopy of the space of sections of a nilpotent bundle	1982	André Haefliger	2