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06/07/2023
Deep Learning with Partially Labeled Data for Radio Map Reconstruction
In this paper, we address the problem of Received Signal Strength map re...
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03/25/2022
Generalization bounds for learning under graph-dependence: A survey
Traditional statistical learning theory relies on the assumption that da...
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02/26/2022
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)
This paper is an extended version of [Burashnikova et al., 2021, arXiv: ...
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02/24/2022
Self-Training: A Survey
In recent years, semi-supervised algorithms have received a lot of inter...
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01/29/2022
Self Semi Supervised Neural Architecture Search for Semantic Segmentation
In this paper, we propose a Neural Architecture Search strategy based on...
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12/04/2021
Recommender systems: when memory matters
In this paper, we study the effect of long memory in the learnability of...
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11/30/2021
Bilingual Topic Models for Comparable Corpora
Probabilistic topic models like Latent Dirichlet Allocation (LDA) have b...
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11/29/2021
Self-Training of Halfspaces with Generalization Guarantees under Massart Mislabeling Noise Model
We investigate the generalization properties of a self-training algorith...
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11/19/2021
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling
Individual Treatment Effect (ITE) prediction is an important area of res...
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09/29/2021
Multi-class Probabilistic Bounds for Self-learning
Self-learning is a classical approach for learning with both labeled and...
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05/17/2021
Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search
In this paper, we present a Neural Network (NN) model based on Neural Ar...
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12/17/2020
Treatment Targeting by AUUC Maximization with Generalization Guarantees
We consider the task of optimizing treatment assignment based on individ...
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12/12/2020
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation
In this paper, we propose a theoretically founded sequential strategy fo...
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11/17/2019
Quels corpus d'entraînement pour l'expansion de requêtes par plongement de mots : application à la recherche de microblogs culturels
We describe here an experimental framework and the results obtained on m...
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11/12/2019
Semi-supervised Wrapper Feature Selection with Imperfect Labels
In this paper, we propose a new wrapper approach for semi-supervised fea...
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11/05/2019
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views
In this paper, we present a conditional GAN with two generators and a co...
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02/21/2019
Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems
In this paper, we propose a robust sequential learning strategy for trai...
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12/10/2018
Asynchronous Distributed Learning with Sparse Communications and Identification
In this paper, we present an asynchronous optimization algorithm for dis...
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08/17/2018
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
In this paper we propose a boosting based multiview learning algorithm, ...
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07/26/2018
Concurrent Learning of Semantic Relations
Discovering whether words are semantically related and identifying the s...
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05/25/2018
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization
We tackle the issue of classifier combinations when observations have mu...
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05/11/2018
Cross-lingual Document Retrieval using Regularized Wasserstein Distance
Many information retrieval algorithms rely on the notion of a good dista...
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07/24/2017
CAp 2017 challenge: Twitter Named Entity Recognition
The paper describes the CAp 2017 challenge. The challenge concerns the p...
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07/12/2017
Multitask Learning for Fine-Grained Twitter Sentiment Analysis
Traditional sentiment analysis approaches tackle problems like ternary (...
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05/22/2017
An Asynchronous Distributed Framework for Large-scale Learning Based on Parameter Exchanges
In many distributed learning problems, the heterogeneous loading of comp...
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05/03/2017
On the effectiveness of feature set augmentation using clusters of word embeddings
Word clusters have been empirically shown to offer important performance...
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04/29/2017
Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems
In this paper, we propose a novel ranking framework for collaborative fi...
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01/23/2017
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
We address the problem of multi-class classification in the case where t...
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07/02/2016
Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm
We propose Rademacher complexity bounds for multiclass classifiers train...
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06/23/2016
PAC-Bayesian Analysis for a two-step Hierarchical Multiview Learning Approach
We study a two-level multiview learning with more than two views under t...
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06/21/2016
An empirical study on large scale text classification with skip-gram embeddings
We investigate the integration of word embeddings as classification feat...
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06/14/2016
TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification
This paper describes the participation of the team "TwiSE" in the SemEva...
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06/01/2016
On a Topic Model for Sentences
Probabilistic topic models are generative models that describe the conte...
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03/30/2015