Pedro Savarese

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Named Entity Recognition

Top Venues

Publications

Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li
Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. VTS (2024)
Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li
Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. CoRR (2024)
Xin Yuan, Pedro Savarese, Michael Maire
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation. CoRR (2023)
Cyrus Zhou, Vaughn Richard, Pedro Savarese, Zachary Hassman, Michael Maire, Michael DiBrino, Yanjing Li
SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks. CoRR (2023)
Xin Yuan, Pedro Savarese, Michael Maire
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation. NeurIPS (2023)
Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise. NeurIPS (2022)
Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
Information-Theoretic Segmentation by Inpainting Error Maximization. CVPR (2021)
Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire
Domain-Independent Dominance of Adaptive Methods. CVPR (2021)
Sudarshan Babu, Pedro Savarese, Michael Maire
Meta-Learning via Learning with Distributed Memory. NeurIPS (2021)
Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro
Kernel and Rich Regimes in Overparametrized Models. CoRR (2020)
Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
Information-Theoretic Segmentation by Inpainting Error Maximization. CoRR (2020)
Xin Yuan, Pedro Savarese, Michael Maire
Growing Efficient Deep Networks by Structured Continuous Sparsification. CoRR (2020)
Pedro Savarese, Hugo Silva, Michael Maire
Winning the Lottery with Continuous Sparsification. NeurIPS (2020)
Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro
Kernel and Rich Regimes in Overparametrized Models. COLT (2020)
Pedro Savarese, Itay Evron, Daniel Soudry, Nathan Srebro
How do infinite width bounded norm networks look in function space? CoRR (2019)
Pedro Savarese, Michael Maire
Learning Implicitly Recurrent CNNs Through Parameter Sharing. CoRR (2019)
Daniel Specht Menezes, Ruy Milidiú, Pedro Savarese
Building a Massive Corpus for Named Entity Recognition Using Free Open Data Sources. BRACIS (2019)
Pedro Savarese
On the Convergence of AdaBound and its Connection to SGD. CoRR (2019)
Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire
Domain-independent Dominance of Adaptive Methods. CoRR (2019)
Pedro Savarese, Hugo Silva, Michael Maire
Winning the Lottery with Continuous Sparsification. CoRR (2019)
Pedro Savarese, Itay Evron, Daniel Soudry, Nathan Srebro
How do infinite width bounded norm networks look in function space? COLT (2019)
Pedro Savarese, Michael Maire
Learning Implicitly Recurrent CNNs Through Parameter Sharing. ICLR (Poster) (2019)
Daniel Specht Menezes, Pedro Savarese, Ruy Luiz Milidiú
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources. CoRR (2019)