Kudithipudi, Dhireesha

4 publications

NeurIPSW 2024 Casper : Cascading Hypernetworks for Scalable Continual Learning Tej Pandit, Dhireesha Kudithipudi

TMLR 2024 Continual Learning: Applications and the Road Forward Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M van de Ven

CVPRW 2021 ALPS: Adaptive Quantization of Deep Neural Networks with GeneraLized PositS Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi

CVPRW 2020 Adaptive Posit: Parameter Aware Numerical Format for Deep Learning Inference on the Edge Hamed Fatemi Langroudi, Vedant Karia, John L. Gustafson, Dhireesha Kudithipudi