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Uncovering the structure of clinical EEG signals with self-supervised learning
Objective. Supervised learning paradigms are often limited by the amount...
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Convolutional Kernel Networks for Graph-Structured Data
We introduce a family of multilayer graph kernels and establish new link...
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Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more
Cyanure is an open-source C++ software package with a Python interface. ...
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End-to-End Learning of Visual Representations from Uncurated Instructional Videos
Annotating videos is cumbersome, expensive and not scalable. Yet, many s...
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Kernel-Based Ensemble Learning in Python
We propose a new supervised learning algorithm, for classification and r...
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Automatic Curriculum Learning For Deep RL: A Short Survey
Automatic Curriculum Learning (ACL) has become a cornerstone of recent s...
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PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
Interpretable explanations for recommender systems and other machine lea...
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A sub-Riemannian 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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DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images
The domain adaptation of satellite images has recently gained an increas...
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Automated Machine Learning with Monte-Carlo 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 semi-supervised 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 data-driven generative models for the 3D face, and focus in ...
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Whittle index based Q-learning for restless bandits with average reward
A novel reinforcement learning algorithm is introduced for multiarmed re...
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High-Dimensional Control Using Generalized Auxiliary Tasks
A long-standing challenge in reinforcement learning is the design of fun...
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Multi-Domain Adversarial Learning
Multi-domain learning (MDL) aims at obtaining a model with minimal avera...
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Stochastic Optimization for Regularized Wasserstein Estimators
Optimal transport is a foundational problem in optimization, that allows...
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Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal 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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Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors
Meta-learning algorithms can accelerate the model-based reinforcement le...
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Selecting Relevant Features from a Universal Representation for Few-shot Classification
Popular approaches for few-shot classification consist of first learning...
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Upper and Lower Bounds on the Performance of Kernel PCA
Principal Component Analysis (PCA) is a popular method for dimension red...
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StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization
Domain adaptation for semantic segmentation has recently been actively s...
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Designing and Learning Trainable Priors with Non-Cooperative Games
We introduce a general framework for designing and learning neural netwo...
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Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
The most data-efficient algorithms for reinforcement learning in robotic...
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Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling
In this paper, we propose and study a Nyström based approach to efficien...
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VPN: Learning Video-Pose Embedding for Activities of Daily Living
In this paper, we focus on the spatio-temporal aspect of recognizing Act...
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Multi-modal Transformer for Video Retrieval
The task of retrieving video content relevant to natural language querie...
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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 Over-parameterized 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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Gaussian Graphical Model exploration and selection in high dimension low sample size setting
Gaussian Graphical Models (GGM) are often used to describe the condition...
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Deep Sets for Generalization in RL
This paper investigates the idea of encoding object-centered representat...
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Progressive growing of self-organized hierarchical representations for exploration
Designing agent that can autonomously discover and learn a diversity of ...
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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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The GeoLifeCLEF 2020 Dataset
Understanding the geographic distribution of species is a key concern in...
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Perspective-Aware CNN For Crowd Counting
Crowd counting is the task of estimating pedestrian numbers in crowd ima...
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Context-adaptive 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 Fine-Grained Actions to Sparse Instructions
Automatic generation of textual video descriptions that are time-aligned...
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Pseudo-Bayesian 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 large-scale skeleton datasets, 3D human actio...
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Online k-means 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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Automating Representation Discovery with MAP-Elites
The way solutions are represented, or encoded, is usually the result of ...
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Generalized Penalty for Circular Coordinate Representation
Topological Data Analysis (TDA) provides novel approaches that allow us ...
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3D Surface Reconstruction from Voxel-based 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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Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index
In this paper, we make an experimental comparison of semi-parametric (Co...
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Adversarially Guided Actor-Critic
Despite definite success in deep reinforcement learning problems, actor-...
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