Следене
Pedro Savarese
Pedro Savarese
Потвърден имейл адрес: ttic.edu - Начална страница
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Позовавания
Позовавания
Година
struc2vec: Learning Node Representations from Structural Identity
LFR Ribeiro, P Savarese, DR Figueiredo
SIGKDD, 2017
14812017
Kernel and Rich Regimes in Overparametrized Models
B Woodworth, S Gunasekar, JD Lee, E Moroshko, P Savarese, I Golan, ...
COLT, 2020
4132020
Convergence of Gradient Descent on Separable Data
MS Nacson, J Lee, S Gunasekar, P Savarese, N Srebro, D Soudry
AISTATS, 2019
1832019
How do Infinite Width Bounded Norm Networks look in Function Space?
P Savarese, I Evron, D Soudry, N Srebro
COLT, 2019
1792019
Winning the Lottery with Continuous Sparsification
P Savarese, H Silva, M Maire
NeurIPS, 2020
1452020
Learning Implicitly Recurrent CNNs Through Parameter Sharing
P Savarese, M Maire
ICLR, 2019
822019
Growing Efficient Deep Networks by Structured Continuous Sparsification
X Yuan, P Savarese, M Maire
ICLR, 2021
662021
Information-Theoretic Segmentation by Inpainting Error Maximization
P Savarese, SSY Kim, M Maire, G Shakhnarovich, D McAllester
CVPR, 2021
312021
On the Convergence of AdaBound and its Connection to SGD
P Savarese
arXiv, 2019
272019
Domain-Independent Dominance of Adaptive Methods
P Savarese, D McAllester, S Babu, M Maire
CVPR, 2021
262021
On Convexity and Linear Mode Connectivity in Neural Networks
D Yunis, KK Patel, P Savarese, K Livescu, M Walter, J Frankle, M Maire
NeurIPS-OPT, 2022
212022
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources
D Menezes, P Savarese, R Milidiu
BRACIS, 2019
162019
Residual gates: A Simple Mechanism for Improved Network Optimization
P Savarese, D Figueiredo
Technical Report, 2017
132017
Learning Identity Mappings with Residual Gates
P Savarese, LO Mazza, DR Figueiredo
arXiv, 2016
82016
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation
X Yuan, P Savarese, M Maire
NeurIPS, 2023
62023
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise
P Savarese, X Yuan, Y Li, M Maire
NeurIPS, 2022
62022
Online Meta-Learning via Learning with Layer-Distributed Memory
S Babu, P Savarese, M Maire
NeurIPS, 2021
52021
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets
P Savarese, M Kakodkar, B Ribeiro
AAAI, 2018
32018
SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks
C Zhou, V Richard, P Savarese, Z Hassman, M Maire, M DiBrino, Y Li
arXiv, 2023
22023
Approaching Deep Learning through the Spectral Dynamics of Weights
D Yunis, KK Patel, S Wheeler, P Savarese, G Vardi, K Livescu, M Maire, ...
arXiv, 2024
12024
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