Ju-Yong Kim

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All published works

Action	Title	Year	Authors
+ PDF Chat	Individual Fairness Under Uncertainty	2023	Wenbin Zhang Zichong Wang Ju-Yong Kim Cheng Cheng Thomas Oommen Pradeep Ravikumar Jeremy Weiss
+	Individual Fairness under Uncertainty	2023	Wenbin Zhang Ju-Yong Kim Zichong Wang Pradeep Ravikumar Jeremy Weiss
+	WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion	2023	Soyong Shin Ju-Yong Kim Eni Halilaj Michael J. Black
+	Improving Compositional Generalization in Classification Tasks via Structure Annotations	2021	Ju-Yong Kim Pradeep Ravikumar Joshua Ainslie Santiago Ontañón
+	Improving Compositional Generalization in Classification Tasks via Structure Annotations	2021	Ju-Yong Kim Pradeep Ravikumar Joshua Ainslie Santiago Ontañón

Common Coauthors

Coauthor	Papers Together
Pradeep Ravikumar	4
Wenbin Zhang	2
Zichong Wang	2
Santiago Ontañón	2
Jeremy Weiss	2
Joshua Ainslie	2
Soyong Shin	1
Cheng Cheng	1
Michael J. Black	1
Eni Halilaj	1
Thomas Oommen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Compositionality Decomposed: How do Neural Networks Generalise?	2020	Dieuwke Hupkes Verna Dankers Mathijs Mul Elia Bruni	2
+	Self-Attention with Relative Position Representations	2018	Peter Shaw Jakob Uszkoreit Ashish Vaswani	2
+	Memorize or generalize? Searching for a compositional RNN in a haystack	2018	Adam Liska Germán Kruszewski Marco Baroni	2
+	Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures	2020	Daniel Furrer Marc van Zee Nathan Scales Nathanael Schärli	2
+	Compositional generalization in a deep seq2seq model by separating syntax and semantics	2019	Jacob Russin Jason Jo Randall C. O’Reilly Yoshua Bengio	2
+	Measuring Compositional Generalization: A Comprehensive Method on Realistic Data	2019	Daniel Keysers Nathanael Schärli Nathan Scales Hylke Buisman Daniel Furrer Sergii Kashubin Nikola Momchev Danila Sinopalnikov Łukasz Stafiniak Tibor Tihon	2
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	2
+	ETC: Encoding Long and Structured Inputs in Transformers	2020	Joshua Ainslie Santiago Ontañón Chris Alberti Vaclav Cvicek Zachary Fisher Philip Pham Anirudh Ravula Sumit Sanghai Qifan Wang Yang Li	2
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	2
+	Time-to-Event Prediction with Neural Networks and Cox Regression	2019	Håvard Kvamme Ørnulf Borgan Ida Scheel	1
+ PDF Chat	Operationalizing individual fairness with pairwise fair representations	2019	Preethi Lahoti Krishna P. Gummadi Gerhard Weikum	1
+	A Confidence-Based Approach for Balancing Fairness and Accuracy	2016	Benjamin Fish Jeremy Kun Ádám D. Lelkes	1
+ PDF Chat	iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making	2019	Preethi Lahoti Krishna P. Gummadi Gerhard Weikum	1
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+	Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments	2017	Alexandra Chouldechova	1
+	FAHT: An Adaptive Fairness-aware Decision Tree Classifier	2019	Wenbin Zhang Eirini Ntoutsi	1
+ PDF Chat	Rank-Based Multi-task Learning for Fair Regression	2019	Chen Zhao Feng Chen	1
+ PDF Chat	Fairness in Machine Learning	2020	Luca Oneto Silvia Chiappa	1
+	Good-Enough Compositional Data Augmentation	2020	Jacob Andreas	1
+	Two Simple Ways to Learn Individual Fairness Metrics from Data	2020	Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun	1
+ PDF Chat	Denoising Individual Bias for Fairer Binary Submatrix Detection	2020	Changlin Wan Wennan Chang Tong Zhao Sha Cao Chi Zhang	1
+ PDF Chat	Random survival forests	2008	Hemant Ishwaran Udaya B. Kogalur Eugene H. Blackstone Michael S. Lauer	1
+ PDF Chat	Interpretable Classification Models for Recidivism Prediction	2016	Jiaming Zeng Berk Ustun Cynthia Rudin	1
+	Ethical Machine Learning in Healthcare	2021	Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi	1
+ PDF Chat	A Survey on Bias and Fairness in Machine Learning	2021	Ninareh Mehrabi Fred Morstatter Nripsuta Ani Saxena Kristina Lerman Aram Galstyan	1
+ PDF Chat	Handling Censoring and Censored Data in Survival Analysis: A Standalone Systematic Literature Review	2021	Anthony Joe Turkson Francis Ayiah-Mensah Vivian Nimoh	1
+ PDF Chat	Longitudinal Fairness with Censorship	2022	Wenbin Zhang Jeremy C. Weiss	1
+ PDF Chat	FARF: A Fair and Adaptive Random Forests Classifier	2021	Wenbin Zhang Albert Bifet Xiangliang Zhang Jeremy C. Weiss Wolfgang Nejdl	1
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	1
+	Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks	2017	Brenden M. Lake Marco Baroni	1
+	Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking	2023	Zichong Wang Yang Zhou Meikang Qiu Israat Haque Laura Brown Yi He Jianwu Wang David Lo Wenbin Zhang	1
+ PDF Chat	Preventing Discriminatory Decision-making in Evolving Data Streams	2023	Zichong Wang Nripsuta Ani Saxena Tongjia Yu Sneha Karki Tyler Zetty Israat Haque Shan Zhou Dukka B. KC Ian Stockwell Xuyu Wang	1
+	Estimation of time‐dependent area under the ROC curve for long‐term risk prediction	2005	Lloyd E. Chambless Guoqing Diao	1
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	1
+ PDF Chat	Survival Analysis Part I: Basic concepts and first analyses	2003	Taane G. Clark Mike Bradburn Sharon Love Douglas G. Altman	1
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	1
+	Machine Learning for Survival Analysis: A Survey	2017	Ping Wang Yan Li Chandan K. Reddy	1
+ PDF Chat	DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network	2018	Jared Katzman Uri Shaham Alexander Cloninger Jonathan Bates Tingting Jiang Yuval Kluger	1
+	Universal Transformers	2018	Mostafa Dehghani Stephan Gouws Oriol Vinyals Jakob Uszkoreit Łukasz Kaiser	1
+	Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements	2019	Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Allison Woodruff Christine Luu Pierre Kreitmann Jonathan Bischof Ed H.	1
+	Good-Enough Compositional Data Augmentation	2019	Jacob Andreas	1