Pedro Savarese

25 papers A* 8Misc 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Principled Approximation Methods for Efficient and Scalable Deep Learning. CoRR Pedro Savarese
2024	J	`jnl`	Approaching Deep Learning through the Spectral Dynamics of Weights. CoRR David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew R. Walter
2024	Misc	`conf`	Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. VTS Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li
2024	J	`jnl`	Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. CoRR Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li
2023	A*	`conf`	Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation. NeurIPS Xin Yuan, Pedro Savarese, Michael Maire
2023	J	`jnl`	Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation. CoRR Xin Yuan, Pedro Savarese, Michael Maire
2023	J	`jnl`	SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks. CoRR Cyrus Zhou, Vaughn Richard, Pedro Savarese, Zachary Hassman, Michael Maire, Michael DiBrino, Yanjing Li
2022	A*	`conf`	Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise. NeurIPS Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire
2021	A*	`conf`	Domain-Independent Dominance of Adaptive Methods. CVPR Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire
2021	A*	`conf`	Information-Theoretic Segmentation by Inpainting Error Maximization. CVPR Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
2021	A*	`conf`	Meta-Learning via Learning with Distributed Memory. NeurIPS Sudarshan Babu, Pedro Savarese, Michael Maire
2020	J	`jnl`	Growing Efficient Deep Networks by Structured Continuous Sparsification. CoRR Xin Yuan, Pedro Savarese, Michael Maire
2020	J	`jnl`	Information-Theoretic Segmentation by Inpainting Error Maximization. CoRR Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
2020	A*	`conf`	Kernel and Rich Regimes in Overparametrized Models. COLT Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro
2020	J	`jnl`	Kernel and Rich Regimes in Overparametrized Models. CoRR Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro
2020	A*	`conf`	Winning the Lottery with Continuous Sparsification. NeurIPS Pedro Savarese, Hugo Silva, Michael Maire
2019	—	`conf`	Building a Massive Corpus for Named Entity Recognition Using Free Open Data Sources. BRACIS Daniel Specht Menezes, Ruy Milidiú, Pedro Savarese
2019	J	`jnl`	Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources. CoRR Daniel Specht Menezes, Pedro Savarese, Ruy Luiz Milidiú
2019	J	`jnl`	Domain-independent Dominance of Adaptive Methods. CoRR Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire
2019	A*	`conf`	How do infinite width bounded norm networks look in function space? COLT Pedro Savarese, Itay Evron, Daniel Soudry, Nathan Srebro
2019	J	`jnl`	How do infinite width bounded norm networks look in function space? CoRR Pedro Savarese, Itay Evron, Daniel Soudry, Nathan Srebro
2019	—	`conf`	Learning Implicitly Recurrent CNNs Through Parameter Sharing. ICLR (Poster) Pedro Savarese, Michael Maire
2019	J	`jnl`	Learning Implicitly Recurrent CNNs Through Parameter Sharing. CoRR Pedro Savarese, Michael Maire
2019	J	`jnl`	On the Convergence of AdaBound and its Connection to SGD. CoRR Pedro Savarese
2019	J	`jnl`	Winning the Lottery with Continuous Sparsification. CoRR Pedro Savarese, Hugo Silva, Michael Maire