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07/03/2023
Vector Quantile Regression on Manifolds
Quantile regression (QR) is a statistical tool for distribution-free est...
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10/04/2022
Deep Reinforcement Learning for Scheduling and Power Allocation in a 5G Urban Mesh
We study the problem of routing and scheduling of real-time flows over a...
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08/17/2022
Transformer Vs. MLP-Mixer Exponential Expressive Gap For NLP Problems
Vision-Transformers are widely used in various vision tasks. Meanwhile, ...
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08/17/2022
Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound
Hyperparameter tuning is a common technique for improving the performanc...
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07/11/2022
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems
Deep neural networks are known to be susceptible to adversarial perturba...
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05/30/2022
Fast Nonlinear Vector Quantile Regression
Quantile regression (QR) is a powerful tool for estimating one or more c...
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02/10/2022
Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation
A central challenge in building robotic prostheses is the creation of a ...
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11/16/2021
Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples
Understating and controlling generative models' latent space is a comple...
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03/25/2021
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels
The success of learning with noisy labels (LNL) methods relies heavily o...
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12/16/2020
SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera
Energy-saving LIDAR camera for short distances estimates an object's dis...
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12/08/2020
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times
Mechanical image stabilization using actuated gimbals enables capturing ...
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08/24/2020
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Unsupervised learning has always been appealing to machine learning rese...
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06/01/2020
Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging
The process of fertilizing a human egg outside the body in order to help...
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04/19/2020
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures
Convolutional Neural Networks (CNNs) have become common in many fields i...
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03/04/2020
Colored Noise Injection for Training Adversarially Robust Neural Networks
Even though deep learning have shown unmatched performance on various ta...
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11/17/2019
Smoothed Inference for Adversarially-Trained Models
Deep neural networks are known to be vulnerable to inputs with malicious...
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11/17/2019
Loss Aware Post-training Quantization
Neural network quantization enables the deployment of large models on re...
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09/25/2019
CAT: Compression-Aware Training for bandwidth reduction
Convolutional neural networks (CNNs) have become the dominant neural net...
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06/14/2019
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment
We consider the problem of localizing relevant subsets of non-rigid geom...
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06/05/2019
Baby steps towards few-shot learning with multiple semantics
Learning from one or few visual examples is one of the key capabilities ...
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05/26/2019
Feature Map Transform Coding for Energy-Efficient CNN Inference
Convolutional neural networks (CNNs) achieve state-of-the-art accuracy i...
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04/22/2019
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks
Recently, deep learning has become a de facto standard in machine learni...
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02/26/2019
LaSO: Label-Set Operations networks for multi-label few-shot learning
Example synthesis is one of the leading methods to tackle the problem of...
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02/07/2019
Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level
Beauty is in the eye of the beholder. This maxim, emphasizing the subjec...
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11/27/2018
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware
Convolutional Neural Networks (CNN) has become more popular choice for v...
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09/28/2018
Functional Maps Representation on Product Manifolds
We consider the tasks of representing, analyzing and manipulating maps b...
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08/23/2018
High frame-rate cardiac ultrasound imaging with deep learning
Cardiac ultrasound imaging requires a high frame rate in order to captur...
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08/23/2018
High quality ultrasonic multi-line transmission through deep learning
Frame rate is a crucial consideration in cardiac ultrasound imaging and ...
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08/20/2018
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising
We propose a fully-convolutional neural-network architecture for image d...
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06/12/2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Learning to classify new categories based on just one or a few examples ...
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06/12/2018
RepMet: Representative-based metric learning for classification and one-shot object detection
Distance metric learning (DML) has been successfully applied to object c...
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04/29/2018
UNIQ: Uniform Noise Injection for non-uniform Quantization of neural networks
We present a novel method for training a neural network amenable to infe...
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04/29/2018
UNIQ: Uniform Noise Injection for the Quantization of Neural Networks
We present a novel method for training deep neural network amenable to i...
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01/20/2018
DeepISP: Learning End-to-End Image Processing Pipeline
We present DeepISP, a full end-to-end deep neural model of the camera im...
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10/17/2017
Towards CT-quality Ultrasound Imaging using Deep Learning
The cost-effectiveness and practical harmlessness of ultrasound imaging ...
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09/11/2017
Subspace Least Squares Multidimensional Scaling
Multidimensional Scaling (MDS) is one of the most popular methods for di...
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01/06/2017
Deep Class Aware Denoising
The increasing demand for high image quality in mobile devices brings fo...
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01/06/2017
Deep Convolutional Denoising of Low-Light Images
Poisson distribution is used for modeling noise in photon-limited imagin...
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05/30/2016
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems
Solving inverse problems with iterative algorithms is popular, especiall...
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04/30/2015
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Three important properties of a classification machinery are: (i) the sy...
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12/18/2014
On the Stability of Deep Networks
In this work we study the properties of deep neural networks (DNN) with ...
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12/19/2013
Sparse similarity-preserving hashing
In recent years, a lot of attention has been devoted to efficient neares...
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12/17/2010
