Savarese, Pedro

9 publications

NeurIPS 2023 Accelerated Training via Incrementally Growing Neural Networks Using Variance Transfer and Learning Rate Adaptation Xin Yuan, Pedro Savarese, Michael Maire

NeurIPS 2022 Not All Bits Have Equal Value: Heterogeneous Precisions via Trainable Noise Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire

CVPR 2021 Domain-Independent Dominance of Adaptive Methods Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire

CVPR 2021 Information-Theoretic Segmentation by Inpainting Error Maximization Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester

NeurIPS 2021 Online Meta-Learning via Learning with Layer-Distributed Memory Sudarshan Babu, Pedro Savarese, Michael Maire

COLT 2020 Kernel and Rich Regimes in Overparametrized Models Blake Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro

NeurIPS 2020 Winning the Lottery with Continuous Sparsification Pedro Savarese, Hugo Silva, Michael Maire

COLT 2019 How Do Infinite Width Bounded Norm Networks Look in Function Space? Pedro Savarese, Itay Evron, Daniel Soudry, Nathan Srebro

ICLR 2019 Learning Implicitly Recurrent CNNs Through Parameter Sharing Pedro Savarese, Michael Maire