Search Results - "Mastropietro, Olivier"

On Causal Inference for Data-free Structured Pruning by Ferianc, Martin, Sankaran, Anush, Mastropietro, Olivier, Saboori, Ehsan, Cappart, Quentin

“…Neural networks (NNs) are making a large impact both on research and industry. Nevertheless, as NNs' accuracy increases, it is followed by an expansion in…”
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Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime by Ashfaq, Saad, AskariHemmat, MohammadHossein, Sah, Sudhakar, Saboori, Ehsan, Mastropietro, Olivier, Hoffman, Alexander

“…Deep Learning has been one of the most disruptive technological advancements in recent times. The high performance of deep learning models comes at the expense…”
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QReg: On Regularization Effects of Quantization by AskariHemmat, MohammadHossein, Hemmat, Reyhane Askari, Hoffman, Alex, Lazarevich, Ivan, Saboori, Ehsan, Mastropietro, Olivier, Sah, Sudhakar, Savaria, Yvon, David, Jean-Pierre

“…In this paper we study the effects of quantization in DNN training. We hypothesize that weight quantization is a form of regularization and the amount of…”
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Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization by Sankaran, Anush, Mastropietro, Olivier, Saboori, Ehsan, Idris, Yasser, Sawyer, Davis, AskariHemmat, MohammadHossein, Hacene, Ghouthi Boukli

“…Designing deep learning-based solutions is becoming a race for training deeper models with a greater number of layers. While a large-size deeper model could…”
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Hierarchical Adversarially Learned Inference by Belghazi, Mohamed Ishmael, Rajeswar, Sai, Mastropietro, Olivier, Rostamzadeh, Negar, Mitrovic, Jovana, Courville, Aaron

“…We propose a novel hierarchical generative model with a simple Markovian structure and a corresponding inference model. Both the generative and inference model…”
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Adversarially Learned Inference by Dumoulin, Vincent, Belghazi, Ishmael, Poole, Ben, Mastropietro, Olivier, Lamb, Alex, Arjovsky, Martin, Courville, Aaron

“…We introduce the adversarially learned inference (ALI) model, which jointly learns a generation network and an inference network using an adversarial process…”
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