Anil Kag

I am a Ph.D. candidate in the Electical and Computer Engineering Department at College of Engineering, Boston University. I am part of Prof. Venkatesh Saligrama’s lab. I’m currently working on constrained learning, and efficient deep neural architectures. Previously, I was a research fellow in the Machine Learning & Optimization Group at Microsoft Research, India, where I worked with Dr. Manik Varma on Extreme Classification. I was an undergraduate student at IIT Guwahati where I obtained my B. Tech. in Computer Science in 2014. I worked on Live Streaming via Peer to Peer Overlay Networks with Prof. Diganta Goswami for my undergraduate thesis. I’ve also worked as a Software Engineer for two years at Dynamics CRM, Microsoft India Development Center, Bangalore.

Announcement. I am looking for a full-time research position in the industry. Contact me if you think I will be a good fit for your team. I have attached my curriculum vitae, cover letter, and research statement.

anilkagak2 @ gmail

Boston, Massachusetts, USA

news

Jan 21, 2023 Scaffolding a Student to Instill Knowledge and Efficient Edge Inference by Selective Query have been accepted at ICLR 2023.
Jun 16, 2022 Achieving High TinyML Accuracy through Selective Cloud Interactions has been accepted at DyNN Workshop at ICML 2022.
Mar 4, 2022 Condensing CNNs with Partial Differential Equations has been accepted at CVPR 2022.
May 8, 2021 Training Recurrent Neural Networks via Forward Propagation Through Time has been accepted at ICML 2021.
Mar 4, 2021 Time Adaptive RNN: A Dynamical Systems View has been accepted at CVPR 2021.
Jan 28, 2021 Selective Classification via One-Sided Prediction has been accepted at AISTATS 2021.
Jun 1, 2020 Selected as a Hariri Graduate Student Fellow, Rafik Hariri Institute for Computing and Computational Scince & Engineering, Boston University.
Dec 19, 2019 RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? has been accepted at ICLR 2020.