Anthony Ndirango

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 6

Top Topics

Multitask Learning

Statistical Physics

Learning Curves

Top Venues

Publications

Nick Alonso, Tomas Figliolia, Anthony Ndirango, Beren Millidge
Toward Conversational Agents with Context and Time Sensitive Long-term Memory. CoRR (2024)
Landan Seguin, Anthony Ndirango, Neeli Mishra, SueYeon Chung, Tyler Lee
Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks. CoRR (2021)
Anthony Ndirango, Tyler Lee
Generalization in multitask deep neural classifiers: a statistical physics approach. NeurIPS (2019)
Tyler Lee, Ting Gong, Suchismita Padhy, Andrew Rouditchenko, Anthony Ndirango
Label-efficient audio classification through multitask learning and self-supervision. CoRR (2019)
Ting Gong, Tyler Lee, Cory Stephenson, Venkata Renduchintala, Suchismita Padhy, Anthony Ndirango, Gokce Keskin, Oguz H. Elibol
A Comparison of Loss Weighting Strategies for Multi task Learning in Deep Neural Networks. IEEE Access 7 (2019)
Tyler Lee, Anthony Ndirango
Generalization in multitask deep neural classifiers: a statistical physics approach. CoRR (2019)
Dharmendra S. Modha, Rajagopal Ananthanarayanan, Steven K. Esser, Anthony Ndirango, Anthony J. Sherbondy, Raghavendra Singh
Cognitive computing. Commun. ACM 54 (8) (2011)
Steven K. Esser, Anthony Ndirango, Dharmendra S. Modha
Binding sparse spatiotemporal patterns in spiking computation. IJCNN (2010)