Corporation de l'ecole Polytechnique de Montreal

research

∙ 11/11/2019

Real-Time Reinforcement Learning

Markov Decision Processes (MDPs), the mathematical framework underlying ...

Simon Ramstedt, et al. ∙

research

∙ 10/02/2019

Boosting Image Recognition with Non-differentiable Constraints

In this paper, we study the problem of image recognition with non-differ...

Xuan Li, et al. ∙

research

∙ 12/31/2021

Machine Learning Application Development: Practitioners' Insights

Nowadays, intelligent systems and services are getting increasingly popu...

Md Saidur Rahman, et al. ∙

research

∙ 12/19/2021

On Causal Inference for Data-free Structured Pruning

Neural networks (NNs) are making a large impact both on research and ind...

Martin Ferianc, et al. ∙

research

∙ 07/20/2021

Multi-agent Reinforcement Learning Improvement in a Dynamic Environment Using Knowledge Transfer

Cooperative multi-agent systems are being widely used in variety of area...

Mahnoosh Mahdavimoghaddam, et al. ∙

research

∙ 01/20/2020

Autocamera Calibration for traffic surveillance cameras with wide angle lenses

We propose a method for automatic calibration of a traffic surveillance ...

Aman Gajendra Jain, et al. ∙

research

∙ 10/04/2018

Recurrent Transition Networks for Character Locomotion

Manually authoring transition animations for a complete locomotion syste...

Félix G. Harvey, et al. ∙

research

∙ 06/23/2020

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization

Adversarial imitation learning alternates between learning a discriminat...

Paul Barde, et al. ∙

research

∙ 01/08/2019

FIGR: Few-shot Image Generation with Reptile

Generative Adversarial Networks (GAN) boast impressive capacity to gener...

Louis Clouâtre, et al. ∙

research

∙ 02/12/2020

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies

Branch and Bound (B B) is the exact tree search method typically used ...

Giulia Zarpellon, et al. ∙

research

∙ 03/04/2022

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

Combinatorial optimization is a well-established area in operations rese...

Maxime Gasse, et al. ∙

research

∙ 03/28/2019

Road User Detection in Videos

Successive frames of a video are highly redundant, and the most popular ...

Hughes Perreault, et al. ∙

research

∙ 03/09/2021

Analytically Tractable Inference in Deep Neural Networks

Since its inception, deep learning has been overwhelmingly reliant on ba...

Luong Ha Nguyen, et al. ∙

research

∙ 07/16/2019

Towards Understanding Generalization in Gradient-Based Meta-Learning

In this work we study generalization of neural networks in gradient-base...

Simon Guiroy, et al. ∙

research

∙ 07/30/2021

Data-driven modeling of time-domain induced polarization

We present a novel approach for data-driven modeling of the time-domain ...

Charles L. Bérubé, et al. ∙

research

∙ 08/27/2019

Interactive Machine Comprehension with Information Seeking Agents

Existing machine reading comprehension (MRC) models do not scale effecti...

Xingdi Yuan, et al. ∙

research

∙ 04/19/2020

Role-Wise Data Augmentation for Knowledge Distillation

Knowledge Distillation (KD) is a common method for transferring the “kno...

Jie Fu, et al. ∙

research

∙ 07/15/2019

Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation

Axis-aligned subspace clustering generally entails searching through eno...

Ruben Becker, et al. ∙

research

∙ 06/20/2018

Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition

Recently, the connectionist temporal classification (CTC) model coupled ...

Titouan Parcollet, et al. ∙

research

∙ 08/02/2019

U-Net Fixed-Point Quantization for Medical Image Segmentation

Model quantization is leveraged to reduce the memory consumption and the...

MohammadHossein AskariHemmat, et al. ∙

research

∙ 12/22/2014

Training deep neural networks with low precision multiplications

Multipliers are the most space and power-hungry arithmetic operators of ...

Matthieu Courbariaux, et al. ∙

research

∙ 11/02/2015

BinaryConnect: Training Deep Neural Networks with binary weights during propagations

Deep Neural Networks (DNN) have achieved state-of-the-art results in a w...

Matthieu Courbariaux, et al. ∙

research

∙ 05/27/2017

Deep Complex Networks

At present, the vast majority of building blocks, techniques, and archit...

Chiheb Trabelsi, et al. ∙

research

∙ 11/23/2015

Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation

Deep neural networks with alternating convolutional, max-pooling and dec...

Sina Honari, et al. ∙

research

∙ 09/05/2017

Improving Landmark Localization with Semi-Supervised Learning

We present two techniques to improve landmark localization from partiall...

Sina Honari, et al. ∙

research

∙ 02/27/2015

Describing Videos by Exploiting Temporal Structure

Recent progress in using recurrent neural networks (RNNs) for image desc...

Li Yao, et al. ∙

research

∙ 03/03/2015

Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research

In this work, we introduce a dataset of video annotated with high qualit...

Atousa Torabi, et al. ∙

research

∙ 05/31/2017

Adversarial Generation of Natural Language

Generative Adversarial Networks (GANs) have gathered a lot of attention ...

Sai Rajeswar, et al. ∙

research

∙ 11/12/2017

Evaluation of trackers for Pan-Tilt-Zoom Scenarios

Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in ...

Yucao Tang, et al. ∙

research

∙ 09/25/2016

Accurate and Efficient Hyperbolic Tangent Activation Function on FPGA using the DCT Interpolation Filter

Implementing an accurate and fast activation function with low cost is a...

Ahmed M. Abdelsalam, et al. ∙

research

∙ 09/24/2017

Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks

We propose a computational framework to learn stylisation patterns from ...

Daniel Berio, et al. ∙

research

∙ 05/29/2017

Deep Learning for Patient-Specific Kidney Graft Survival Analysis

An accurate model of patient-specific kidney graft survival distribution...

Margaux Luck, et al. ∙

research

∙ 02/22/2016

A Motion Planning Strategy for the Active Vision-Based Mapping of Ground-Level Structures

This paper presents a strategy to guide a mobile ground robot equipped w...

Manikandasriram Srinivasan Ramanagopal, et al. ∙

research

∙ 11/18/2015

A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation

We examine a new form of smooth approximation to the zero one loss in wh...

Md. Kamrul Hasan, et al. ∙

research

∙ 02/07/2017

Tracking using Numerous Anchor points

In this paper, an online adaptive model-free tracker is proposed to trac...

Tanushri Chakravorty, et al. ∙

research

∙ 03/17/2016

Do Deep Convolutional Nets Really Need to be Deep and Convolutional?

Yes, they do. This paper provides the first empirical demonstration that...

Gregor Urban, et al. ∙

research

∙ 11/08/2016

Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed Traffic

Recently, the Kernelized Correlation Filters tracker (KCF) achieved comp...

Yuebin Yang, et al. ∙

research

∙ 08/14/2016

The Importance of Skip Connections in Biomedical Image Segmentation

In this paper, we study the influence of both long and short skip connec...

Michal Drozdzal, et al. ∙

research

∙ 06/16/2016

Convolutional Residual Memory Networks

Very deep convolutional neural networks (CNNs) yield state of the art re...

Joel Moniz, et al. ∙

research

∙ 12/27/2015

Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression

We present techniques for improving performance driven facial animation,...

David Rim, et al. ∙

research

∙ 08/31/2015

Metastatic liver tumour segmentation from discriminant Grassmannian manifolds

The early detection, diagnosis and monitoring of liver cancer progressio...

Samuel Kadoury, et al. ∙

research

∙ 12/21/2010

Automatic Estimation of the Exposure to Lateral Collision in Signalized Intersections using Video Sensors

Intersections constitute one of the most dangerous elements in road syst...

Nicolas Saunier, et al. ∙

research

∙ 09/20/2013

Nonmyopic View Planning for Active Object Detection

One of the central problems in computer vision is the detection of seman...

Nikolay Atanasov, et al. ∙

research

∙ 05/14/2013

A Bag of Words Approach for Semantic Segmentation of Monitored Scenes

This paper proposes a semantic segmentation method for outdoor scenes ca...

Wassim Bouachir, et al. ∙

research

∙ 04/27/2012

Background subtraction based on Local Shape

We present a novel approach to background subtraction that is based on t...

Jean-Philippe Jodoin, et al. ∙

research

∙ 07/26/2017

Self-organized Hierarchical Softmax

We propose a new self-organizing hierarchical softmax formulation for ne...

Yikang Shen, et al. ∙

research

∙ 11/13/2017

Towards an interdisciplinary, socio-technical analysis of software ecosystem health

This extended abstract presents the research goals and preliminary resea...

Tom Mens, et al. ∙

research

∙ 09/26/2017

Is It Safe to Uplift This Patch? An Empirical Study on Mozilla Firefox

In rapid release development processes, patches that fix critical issues...

Marco Castelluccio, et al. ∙

research

∙ 11/24/2017

SHIP: A Scalable High-performance IPv6 Lookup Algorithm that Exploits Prefix Characteristics

Due to the emergence of new network applications, current IP lookup engi...

Thibaut Stimpfling, et al. ∙

research

∙ 01/10/2018

From Superpixel to Human Shape Modelling for Carried Object Detection

Detecting carried objects is one of the requirements for developing syst...

Farnoosh Ghadiri, et al. ∙

Corporation de l'ecole Polytechnique de Montreal

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