publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. ICLR
    Scaffolding a Student to Instill Knowledge Kag, Anil, Acar, Durmus Alp Emre, Gangrade, Aditya, and Saligrama, Venkatesh In International Conference on Learning Representations 2023 [HTML] [PDF] [Code]
  2. ICLR
    Efficient Edge Inference by Selective Query Kag, Anil, Fedorov, Igor, Gangrade, Aditya, Whatmough, Paul, and Saligrama, Venkatesh In International Conference on Learning Representations 2023 [HTML] [PDF] [Code]

2022

  1. ICML Workshop
    Achieving High TinyML Accuracy through Selective Cloud Interaction Kag, Anil, Fedorov, Igor, Gangrade, Aditya, Whatmough, Paul, and Saligrama, Venkatesh In Workshop on Dynamic Neural Networks at International Conference on Machine Learning 2022 [HTML] [PDF] [Video]
  2. CVPR
    Condensing CNNs with Partial Differential Equations Kag, Anil, and Saligrama, Venkatesh In IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022 [HTML] [PDF] [Code] [Video]

2021

  1. NeurIPS
    Online Selective Classification with Limited Feedback Gangrade, Aditya, Kag, Anil, Cutkosky, Ashok, and Saligrama, Venkatesh In Neural Information Processing System 2021 [HTML] [PDF] [Code] [Video]
  2. ICML
    Training Recurrent Neural Networks via Forward Propagation Through Time Kag, Anil, and Saligrama, Venkatesh In International Conference on Machine Learning 2021 [HTML] [PDF] [Code] [Video]
  3. CVPR
    Time Adaptive Recurrent Neural Network Kag, Anil, and Saligrama, Venkatesh In IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021 [HTML] [PDF] [Code] [Video]
  4. AISTATS
    Selective Classification via One-Sided Prediction Gangrade, Aditya, Kag, Anil, and Saligrama, Venkatesh In Artificial Intelligence and Statistics 2021 [HTML] [PDF] [Code] [Video]

2020

  1. ICLR
    RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? Kag, Anil, Zhang, Ziming, and Saligrama, Venkatesh In International Conference on Learning Representations 2020 [HTML] [PDF] [Video]

2019

  1. NSDI
    BLAS-on-Flash: An Efficient Alternative for Large Scale ML Training and Inference? Subramanya, Suhas Jayaram, Simhadri, Harsha Vardhan, Garg, Srajan, Kag, Anil, and Balasubramanian, Venkatesh In Proceedings of the 16th USENIX Conference on Networked Systems Design and Implementation 2019 [HTML] [PDF]

2018

  1. NIPS Workshop
    Learning Compact Networks via Adaptive Network Regularization Sankarapandian, Sivaramakrishnan, Kag, Anil, Manzelli, Rachel, and Kulis, Brian In NIPS workshop on Compact Deep Neural Networks with industrial applications 2018 [HTML] [PDF]
  2. WWW
    Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising Prabhu, Yashoteja, Kag, Anil, Harsola, Shrutendra, Agrawal, Rahul, and Varma, Manik In Proceedings of the 2018 World Wide Web Conference 2018 [HTML] [PDF]
  3. WSDM
    Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation Prabhu, Yashoteja, Kag, Anil, Gopinath, Shilpa, Dahiya, Kunal, Harsola, Shrutendra, Agrawal, Rahul, and Varma, Manik In WSDM 2018, February 5–9, 2018, Marina Del Rey, CA, USA 2018 [HTML] [PDF]