26 citations · 97 across the 29 of their papers we have counts for
11 papers · 1 filter
Qini-based Uplift Regression
Mouloud Belbahri, Alejandro Murua, Olivier Gandouet +1
Uplift models provide a solution to the problem of isolating the marketing effect of a campaign. For customer churn reduction, uplift models are used to identify the customers who…
Random Bias Initialization Improves Quantized Training
Xinlin Li, Vahid Partovi Nia
Binary neural networks improve computationally efficiency of deep models with a large margin. However, there is still a performance gap between a successful full-precision training…
Adaptive Binary-Ternary Quantization
Ryan Razani, Grégoire Morin, Vahid Partovi Nia +1
Neural network models are resource hungry. It is difficult to deploy such deep networks on devices with limited resources, like smart wearables, cellphones, drones, and autonomous…
How Does Batch Normalization Help Binary Training?
Eyyüb Sari, Mouloud Belbahri, Vahid Partovi Nia
Binary Neural Networks (BNNs) are difficult to train, and suffer from drop of accuracy. It appears in practice that BNNs fail to train in the absence of Batch Normalization (BatchN…
Differentiable Mask for Pruning Convolutional and Recurrent Networks
Ramchalam Kinattinkara Ramakrishnan, Eyyüb Sari, Vahid Partovi Nia
Pruning is one of the most effective model reduction techniques. Deep networks require massive computation and such models need to be compressed to bring them on edge devices. Most…
Parallel Coordinate Order for High-Dimensional Data
Shaima Tilouche, Vahid Partovi Nia, Samuel Bassetto
Visualization of high-dimensional data is counter-intuitive using conventional graphs. Parallel coordinates are proposed as an alternative to explore multivariate data more effecti…
Deep Demosaicing for Edge Implementation
Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Patrovi Nia
Most digital cameras use sensors coated with a Color Filter Array (CFA) to capture channel components at every pixel location, resulting in a mosaic image that does not contain pix…
Active Learning for High-Dimensional Binary Features
Ali Vahdat, Mouloud Belbahri, Vahid Partovi Nia
Erbium-doped fiber amplifier (EDFA) is an optical amplifier/repeater device used to boost the intensity of optical signals being carried through a fiber optic communication system.…
Uplift Regression: The R Package tools4uplift
Mouloud Belbahri, Alejandro Murua, Olivier Gandouet +1
Uplift modeling aims at predicting the causal effect of an action such as a medical treatment or a marketing campaign on a particular individual, by taking into consideration the r…
Activation Adaptation in Neural Networks
Farnoush Farhadi, Vahid Partovi Nia, Andrea Lodi
Many neural network architectures rely on the choice of the activation function for each hidden layer. Given the activation function, the neural network is trained over the bias an…
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks
Mouloud Belbahri, Eyyüb Sari, Sajad Darabi +1
Deep neural networks (DNNs) have demonstrated success for many supervised learning tasks, ranging from voice recognition, object detection, to image classification. However, their…