struc2vec: Learning Node Representations from Structural Identity LFR Ribeiro, P Savarese, DR Figueiredo SIGKDD, 2017 | 1369 | 2017 |
Kernel and Rich Regimes in Overparametrized Models B Woodworth, S Gunasekar, JD Lee, E Moroshko, P Savarese, I Golan, ... COLT, 2020 | 360 | 2020 |
Convergence of Gradient Descent on Separable Data MS Nacson, J Lee, S Gunasekar, P Savarese, N Srebro, D Soudry AISTATS, 2019 | 162 | 2019 |
How do Infinite Width Bounded Norm Networks look in Function Space? P Savarese, I Evron, D Soudry, N Srebro COLT, 2019 | 161 | 2019 |
Winning the Lottery with Continuous Sparsification P Savarese, H Silva, M Maire NeurIPS, 2020 | 131 | 2020 |
Learning Implicitly Recurrent CNNs Through Parameter Sharing P Savarese, M Maire ICLR, 2019 | 78 | 2019 |
Growing Efficient Deep Networks by Structured Continuous Sparsification X Yuan, P Savarese, M Maire ICLR, 2021 | 52 | 2021 |
Information-Theoretic Segmentation by Inpainting Error Maximization P Savarese, SSY Kim, M Maire, G Shakhnarovich, D McAllester CVPR, 2021 | 28 | 2021 |
On the Convergence of AdaBound and its Connection to SGD P Savarese arXiv preprint arXiv:1908.04457, 2019 | 25 | 2019 |
struc2vec: Learning node representations from structural identity DR Figueiredo, LFR Ribeiro, PHP Saverese CoRR, 2017 | 23 | 2017 |
Domain-Independent Dominance of Adaptive Methods P Savarese, D McAllester, S Babu, M Maire CVPR, 2021 | 21 | 2021 |
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources D Menezes, P Savarese, R Milidiu BRACIS, 2019 | 16 | 2019 |
On Convexity and Linear Mode Connectivity in Neural Networks D Yunis, KK Patel, P Savarese, K Livescu, M Walter, J Frankle, M Maire OPT, 2022 | 13 | 2022 |
Residual gates: A Simple Mechanism for Improved Network Optimization P Savarese, D Figueiredo | 11 | 2017 |
Learning Identity Mappings with Residual Gates P Savarese, LO Mazza, DR Figueiredo arXiv preprint arXiv:1611.01260, 2016 | 7 | 2016 |
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise P Savarese, X Yuan, Y Li, M Maire NeurIPS, 2022 | 4 | 2022 |
Online Meta-Learning via Learning with Layer-Distributed Memory S Babu, P Savarese, M Maire NeurIPS, 2021 | 4 | 2021 |
Accelerated training via incrementally growing neural networks using variance transfer and learning rate adaptation X Yuan, P Savarese, M Maire Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets P Savarese, M Kakodkar, B Ribeiro AAAI, 2018 | 3 | 2018 |
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 preprint arXiv:2311.14114, 2023 | 1 | 2023 |