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Aditya Krishna Menon

Data61/CSIRO and the Australian National University

Semantic Label Smoothing for Sequence to Sequence Problems

Oct 15, 2020
Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix Yu, Sanjiv Kumar


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SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy

Oct 06, 2020
Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon, Lexing Xie

* EMNLP 2020 
* 15 pages 

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Long-tail learning via logit adjustment

Jul 14, 2020
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar


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Why distillation helps: a statistical perspective

May 21, 2020
Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar


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Doubly-stochastic mining for heterogeneous retrieval

Apr 23, 2020
Ankit Singh Rawat, Aditya Krishna Menon, Andreas Veit, Felix Yu, Sashank J. Reddi, Sanjiv Kumar


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Federated Learning with Only Positive Labels

Apr 21, 2020
Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar


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Does label smoothing mitigate label noise?

Mar 05, 2020
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar


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Supervised Learning: No Loss No Cry

Feb 10, 2020
Richard Nock, Aditya Krishna Menon


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Online Hierarchical Clustering Approximations

Sep 20, 2019
Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen, Gui Citovsky, Qin Cao, Sanjiv Kumar

* 17 pages, 3 figures 

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Noise-tolerant fair classification

Jan 30, 2019
Alexandre Louis Lamy, Ziyuan Zhong, Aditya Krishna Menon, Nakul Verma


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Fairness risk measures

Jan 24, 2019
Robert C. Williamson, Aditya Krishna Menon


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Cold-start Playlist Recommendation with Multitask Learning

Jan 18, 2019
Dawei Chen, Cheng Soon Ong, Aditya Krishna Menon

* 15 pages 

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Comparative Document Summarisation via Classification

Dec 06, 2018
Umanga Bista, Alexander Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie

* Accepted for AAAI 2019 

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Complementary-Label Learning for Arbitrary Losses and Models

Oct 10, 2018
Takashi Ishida, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama


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Monge beats Bayes: Hardness Results for Adversarial Training

Sep 12, 2018
Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng-Soon Ong, Zhan Shi, Christian Walder


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Anomaly Detection using One-Class Neural Networks

Feb 18, 2018
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla

* Submitted, to KDD 2018 - London, United Kingdom. 19 - 23 August 2018 

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Revisiting revisits in trajectory recommendation

Aug 17, 2017
Aditya Krishna Menon, Dawei Chen, Lexing Xie, Cheng Soon Ong

* 6 pages 

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Robust, Deep and Inductive Anomaly Detection

Jul 30, 2017
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla

* Accepted ECML PKDD 2017 Skopje, Macedonia 18-22 September the European Conference On Machine Learning & Principles and Practice of Knowledge Discovery 

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f-GANs in an Information Geometric Nutshell

Jul 14, 2017
Richard Nock, Zac Cranko, Aditya Krishna Menon, Lizhen Qu, Robert C. Williamson


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The cost of fairness in classification

May 25, 2017
Aditya Krishna Menon, Robert C. Williamson


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A scaled Bregman theorem with applications

Jul 01, 2016
Richard Nock, Aditya Krishna Menon, Cheng Soon Ong


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Learning from Binary Labels with Instance-Dependent Corruption

May 04, 2016
Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan


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An Average Classification Algorithm

Dec 15, 2015
Brendan van Rooyen, Aditya Krishna Menon, Robert C. Williamson


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Learning with Symmetric Label Noise: The Importance of Being Unhinged

May 28, 2015
Brendan van Rooyen, Aditya Krishna Menon, Robert C. Williamson


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Textual Features for Programming by Example

Sep 17, 2012
Aditya Krishna Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson, Adam Tauman Kalai


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Dyadic Prediction Using a Latent Feature Log-Linear Model

Jun 10, 2010
Aditya Krishna Menon, Charles Elkan


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