| struc2vec: Learning Node Representations from Structural Identity LFR Ribeiro, P Savarese, DR Figueiredo SIGKDD, 2017 | 1646 | 2017 |
| Kernel and Rich Regimes in Overparametrized Models B Woodworth, S Gunasekar, JD Lee, E Moroshko, P Savarese, I Golan, ... COLT, 2020 | 498 | 2020 |
| How do Infinite Width Bounded Norm Networks look in Function Space? P Savarese, I Evron, D Soudry, N Srebro COLT, 2019 | 204 | 2019 |
| Convergence of Gradient Descent on Separable Data MS Nacson, J Lee, S Gunasekar, P Savarese, N Srebro, D Soudry AISTATS, 2019 | 204 | 2019 |
| Winning the Lottery with Continuous Sparsification P Savarese, H Silva, M Maire NeurIPS, 2020 | 171 | 2020 |
| Learning Implicitly Recurrent CNNs Through Parameter Sharing P Savarese, M Maire ICLR, 2019 | 101 | 2019 |
| Growing Efficient Deep Networks by Structured Continuous Sparsification X Yuan, P Savarese, M Maire ICLR, 2021 | 74 | 2021 |
| Information-Theoretic Segmentation by Inpainting Error Maximization P Savarese, SSY Kim, M Maire, G Shakhnarovich, D McAllester CVPR, 2021 | 35 | 2021 |
| On the Convergence of AdaBound and its Connection to SGD P Savarese arXiv, 2019 | 31 | 2019 |
| 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 | 29 | 2022 |
| Domain-Independent Dominance of Adaptive Methods P Savarese, D McAllester, S Babu, M Maire CVPR, 2021 | 28 | 2021 |
| Residual gates: A Simple Mechanism for Improved Network Optimization P Savarese, D Figueiredo Technical Report, 2017 | 20 | 2017 |
| Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources D Menezes, P Savarese, R Milidiu BRACIS, 2019 | 16 | 2019 |
| Learning Identity Mappings with Residual Gates P Savarese, LO Mazza, DR Figueiredo arXiv, 2016 | 13 | 2016 |
| 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 | 9 | 2024 |
| Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation X Yuan, P Savarese, M Maire NeurIPS, 2023 | 8 | 2023 |
| Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise P Savarese, X Yuan, Y Li, M Maire NeurIPS, 2022 | 8 | 2022 |
| Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators M Xiang, X Xie, P Savarese, X Yuan, M Maire, Y Li VTS, 2024 | 7 | 2024 |
| Online Meta-Learning via Learning with Layer-Distributed Memory S Babu, P Savarese, M Maire NeurIPS, 2021 | 7 | 2021 |
| From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets P Savarese, M Kakodkar, B Ribeiro AAAI, 2018 | 5 | 2018 |
Michael MaireUniversity of ChicagoVerified email at uchicago.edu
