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Aditya Krishna Menon

Data61/CSIRO and the Australian National University

Interval-censored Hawkes processes


Apr 16, 2021
Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Leanne Dong, Aditya Krishna Menon, Lexing Xie


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Distilling Double Descent


Feb 13, 2021
Andrew Cotter, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sashank J. Reddi, Yichen Zhou


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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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