Scaling Up Exact Neural Network Compression by ReLU Stability

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Scaling Up Exact Neural Network Compression by ReLU Stability

Neural Information Processing Systems (NeurIPS), 2021

15 February 2021

Srikumar Ramalingam

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Papers citing "Scaling Up Exact Neural Network Compression by ReLU Stability"

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Title
Tightening convex relaxations of trained neural networks: a unified approach for convex and S-shaped activations Pablo Carrasco Gonzalo Muñoz 202 3 0 30 Oct 2024
Optimization Over Trained Neural Networks: Taking a Relaxing Walk Jiatai Tong Junyang Cai Thiago Serra 285 13 0 07 Jan 2024
Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks Fabian Badilla Marcos Goycoolea Gonzalo Muñoz Thiago Serra 246 7 0 27 Dec 2023
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature ConnectivityNeural Information Processing Systems (NeurIPS), 2023 Zhanpeng Zhou Yongyi Yang Xiaojiang Yang Junchi Yan Wei Hu 230 45 0 17 Jul 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 512 43 0 29 Apr 2023
Structured Pruning for Deep Convolutional Neural Networks: A surveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yang He Lingao Xiao 3DPC 312 243 0 01 Mar 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear RegionsIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2023 Junyang Cai Khai-Nguyen Nguyen Nishant Shrestha Aidan Good Ruisen Tu Xin Yu Shandian Zhe Thiago Serra MLT 244 10 0 19 Jan 2023
Pruning's Effect on Generalization Through the Lens of Training and RegularizationNeural Information Processing Systems (NeurIPS), 2022 Tian Jin Michael Carbin Daniel M. Roy Jonathan Frankle Gintare Karolina Dziugaite 196 33 0 25 Oct 2022
Towards Global Neural Network Abstractions with Locally-Exact ReconstructionNeural Networks (NN), 2022 Edoardo Manino I. Bessa Lucas C. Cordeiro 189 1 0 21 Oct 2022
Quiver neural networks I. Ganev Robin Walters 114 4 0 26 Jul 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning AlgorithmNeural Information Processing Systems (NeurIPS), 2022 Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 246 12 0 07 Jun 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural NetworksInternational Conference on Machine Learning (ICML), 2022 Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 305 57 0 09 Mar 2022
Training Thinner and Deeper Neural Networks: Jumpstart RegularizationIntegration of AI and OR Techniques in Constraint Programming (CP-AI-OR), 2022 Carles Roger Riera Molina Camilo Rey Thiago Serra Eloi Puertas O. Pujol 207 5 0 30 Jan 2022
Parameter identifiability of a deep feedforward ReLU neural networkMachine-mediated learning (ML), 2021 Joachim Bona-Pellissier François Bachoc François Malgouyres 213 20 0 24 Dec 2021
Universal approximation and model compression for radial neural networks I. Ganev Twan van Laarhoven Robin Walters 264 10 0 06 Jul 2021
Principled Deep Neural Network Training through Linear Programming D. Bienstock Gonzalo Muñoz Sebastian Pokutta 197 25 0 07 Oct 2018