Tristan Sylvain | DeepAI

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∙ 05/30/2023

Robust Reinforcement Learning Objectives for Sequential Recommender Systems

Attention-based sequential recommendation methods have demonstrated prom...

0 Melissa Mozifian, et al. ∙

∙ 09/07/2022

Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

Recent neuroimaging studies that focus on predicting brain disorders via...

2 Alex Fedorov, et al. ∙

∙ 06/08/2022

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

The performance of time series forecasting has recently been greatly imp...

0 Amin Shabani, et al. ∙

∙ 12/25/2020

Taxonomy of multimodal self-supervised representation learning

Sensory input from multiple sources is crucial for robust and coherent h...

12 Alex Fedorov, et al. ∙

∙ 12/25/2020

On self-supervised multi-modal representation learning: An application to Alzheimer's disease

Introspection of deep supervised predictive models trained on functional...

20 Alex Fedorov, et al. ∙

∙ 10/22/2020

Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations

Zero-shot classification is a generalization task where no instance from...

0 Tristan Sylvain, et al. ∙

∙ 10/20/2020

Cross-Modal Information Maximization for Medical Imaging: CMIM

In hospitals, data are siloed to specific information systems that make ...

0 Tristan Sylvain, et al. ∙

∙ 06/23/2020

Image-to-image Mapping with Many Domains by Sparse Attribute Transfer

Unsupervised image-to-image translation consists of learning a pair of m...

5 Matthew Amodio, et al. ∙

∙ 03/16/2020

Object-Centric Image Generation from Layouts

Despite recent impressive results on single-object and single-domain ima...

7 Tristan Sylvain, et al. ∙

∙ 12/20/2019

Locality and compositionality in zero-shot learning

In this work we study locality and compositionality in the context of le...

0 Tristan Sylvain, et al. ∙

∙ 12/15/2019

Joint Learning of Generative Translator and Classifier for Visually Similar Classes

In this paper, we propose a Generative Translation Classification Networ...

20 ByungIn Yoo, et al. ∙

∙ 06/06/2018

Learning to rank for censored survival data

Survival analysis is a type of semi-supervised ranking task where the ta...

0 Margaux Luck, et al. ∙

∙ 05/29/2017

Deep Learning for Patient-Specific Kidney Graft Survival Analysis

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

0 Margaux Luck, et al. ∙

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