
Cyanure: An OpenSource Toolbox for Empirical Risk Minimization for Python, C++, and soon more
Cyanure is an opensource C++ software package with a Python interface. ...
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EndtoEnd Learning of Visual Representations from Uncurated Instructional Videos
Annotating videos is cumbersome, expensive and not scalable. Yet, many s...
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KernelBased Ensemble Learning in Python
We propose a new supervised learning algorithm, for classification and r...
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PRINCE: Providerside Interpretability with Counterfactual Explanations in Recommender Systems
Interpretable explanations for recommender systems and other machine lea...
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A subRiemannian model of the visual cortex with frequency and phase
In this paper we present a novel model of the primary visual cortex (V1)...
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On Fast Leverage Score Sampling and Optimal Learning
Leverage score sampling provides an appealing way to perform approximate...
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Automated Machine Learning with MonteCarlo Tree Search (Extended Version)
The AutoML task consists of selecting the proper algorithm in a machine ...
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Explainable cardiac pathology classification on cine MRI with motion characterization by semisupervised learning of apparent flow
We propose a method to classify cardiac pathology based on a novel appro...
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A Generative 3D Facial Model by Adversarial Training
We consider datadriven generative models for the 3D face, and focus in ...
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HighDimensional Control Using Generalized Auxiliary Tasks
A longstanding challenge in reinforcement learning is the design of fun...
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MultiDomain Adversarial Learning
Multidomain learning (MDL) aims at obtaining a model with minimal avera...
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Language Grounding through Social Interactions and CuriosityDriven MultiGoal Learning
Autonomous reinforcement learning agents, like children, do not have acc...
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Elastic registration based on compliance analysis and biomechanical graph matching
An automatic elastic registration method suited for vascularized organs ...
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Multiobjective Modelbased Policy Search for Dataefficient Learning with Sparse Rewards
The most dataefficient algorithms for reinforcement learning in robotic...
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Gain with no Pain: Efficient KernelPCA by Nyström Sampling
In this paper, we propose and study a Nyström based approach to efficien...
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Recurrent Kernel Networks
Substring kernels are classical tools for representing biological sequen...
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On the Global Convergence of Gradient Descent for Overparameterized Models using Optimal Transport
Many tasks in machine learning and signal processing can be solved by mi...
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Stable safe screening and structured dictionaries for faster ℓ_1 regularization
In this paper, we propose a way to combine two acceleration techniques f...
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Efficient Topological Layer based on Persistent Landscapes
We propose a novel topological layer for general deep learning models ba...
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PerspectiveAware CNN For Crowd Counting
Crowd counting is the task of estimating pedestrian numbers in crowd ima...
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Contextadaptive neural network based prediction for image compression
This paper describes a set of neural network architectures, called Predi...
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Learning to Localize and Align FineGrained Actions to Sparse Instructions
Automatic generation of textual video descriptions that are timealigned...
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PseudoBayesian Learning with Kernel Fourier Transform as Prior
We revisit Rahimi and Recht (2007)'s kernel random Fourier features (RFF...
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SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
Due to the availability of largescale skeleton datasets, 3D human actio...
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Online kmeans Clustering
We study the problem of online clustering where a clustering algorithm h...
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Fast shared response model for fMRI data
The shared response model provides a simple but effective framework toan...
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3D Surface Reconstruction from Voxelbased Lidar Data
To achieve fully autonomous navigation, vehicles need to compute an accu...
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Learning a Behavioral Repertoire from Demonstrations
Imitation Learning (IL) is a machine learning approach to learn a policy...
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Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints
In the last years, the computer vision research community has studied on...
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Modeling SpatioTemporal Human Track Structure for Action Localization
This paper addresses spatiotemporal localization of human actions in vi...
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Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation
Convolutional neural networks are designed for dense data, but vision da...
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Massively scalable Sinkhorn distances via the Nyström method
The Sinkhorn distance, a variant of the Wasserstein distance with entrop...
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A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise
We consider variational inequalities coming from monotone operators, a s...
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Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
Gaussian processes (GP) are a popular Bayesian approach for the optimiza...
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On the Inductive Bias of Neural Tangent Kernels
Stateoftheart neural networks are heavily overparameterized, making ...
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Effective Rotationinvariant Point CNN with Spherical Harmonics kernels
We present a novel rotation invariant architecture operating directly on...
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CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators
The topic of provable deep neural network robustness has raised consider...
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Revisiting Non Local Sparse Models for Image Restoration
We propose a differentiable algorithm for image restoration inspired by ...
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Encoding highcardinality string categorical variables
Statistical analysis usually requires a vector representation of categor...
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3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction
We reconstruct 3D deformable object through time, in the context of a li...
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DensePose: Dense Human Pose Estimation In The Wild
In this work, we establish dense correspondences between RGB image and a...
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A Comprehensive Analysis of Deep Regression
Deep learning revolutionized data science, and recently, its popularity ...
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Learning with SGD and Random Features
Sketching and stochastic gradient methods are arguably the most common t...
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Optimizing deep video representation to match brain activity
The comparison of observed brain activity with the statistics generated ...
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MULAN: A Blind and OffGrid Method for Multichannel Echo Retrieval
This paper addresses the general problem of blind echo retrieval, i.e., ...
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Dichotomize and Generalize: PACBayesian Binary Activated Deep Neural Networks
We present a comprehensive study of multilayer neural networks with bina...
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Intrinsically Motivated Exploration for Automated Discovery of Patterns in Morphogenetic Systems
Exploration is a cornerstone both for machine learning algorithms and fo...
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Learning Semantic Correspondence Exploiting an Objectlevel Prior
We address the problem of semantic correspondence, that is, establishing...
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Implicit Bias of Gradient Descent for Wide Twolayer Neural Networks Trained with the Logistic Loss
Neural networks trained to minimize the logistic (a.k.a. crossentropy) ...
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Fast Decomposable Submodular Function Minimization using Constrained Total Variation
We consider the problem of minimizing the sum of submodular set function...
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Inria
It was created under the name Institut de recherche en informatique et en automatique in 1967 at Rocquencourt near Paris, part of Plan Calcul.