Pedro Savarese
Pedro Savarese
Bestätigte E-Mail-Adresse bei ttic.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
struc2vec: Learning node representations from structural identity
LFR Ribeiro, P Savarese, DR Figueiredo
SIGKDD, 2017
5242017
Kernel and rich regimes in overparametrized models
B Woodworth, S Gunasekar, JD Lee, E Moroshko, P Savarese, I Golan, ...
Conference on Learning Theory, 2020
53*2020
Convergence of Gradient Descent on Separable Data
MS Nacson, J Lee, S Gunasekar, P Savarese, N Srebro, D Soudry
International Conference on Artificial Intelligence and Statistics, 2019
522019
How do infinite width bounded norm networks look in function space?
P Savarese, I Evron, D Soudry, N Srebro
Conference on Learning Theory, 2019
402019
Learning Implicitly Recurrent CNNs Through Parameter Sharing
P Savarese, M Maire
International Conference on Learning Representations, 2019
212019
Winning the Lottery with Continuous Sparsification
P Savarese, H Silva, M Maire
Advances in Neural Information Processing Systems, 2019
92019
On the Convergence of AdaBound and its Connection to SGD
P Savarese
arXiv preprint arXiv:1908.04457, 2019
52019
Domain-independent dominance of adaptive methods
P Savarese, D McAllester, S Babu, M Maire
arXiv preprint arXiv:1912.01823, 2019
32019
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources
D Menezes, P Savarese, R Milidiu
BRACIS, 2019
32019
Learning Identity Mappings with Residual Gates
P Savarese, LO Mazza, DR Figueiredo
arXiv preprint arXiv:1611.01260, 2016
32016
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets
P Savarese, M Kakodkar, B Ribeiro
AAAI, 2018
22018
Residual gates: A simple mechanism for improved network optimization
P Savarese, D Figueiredo
12017
Information-Theoretic Segmentation by Inpainting Error Maximization
P Savarese, SSY Kim, M Maire, G Shakhnarovich, D McAllester
arXiv preprint arXiv:2012.07287, 2020
2020
Growing Efficient Deep Networks by Structured Continuous Sparsification
X Yuan, P Savarese, M Maire
International Conference on Learning Representations, 2020
2020
Spiking Neural Networks without Terminals for Supervised Learning (Aprendizado Supervisionado para Redes Neurais Pulsadas sem Terminais)
P Savarese
Universidade Federal do Rio de Janeiro, 2014
2014
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–15