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05/30/2023
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
Attention-based sequential recommendation methods have demonstrated prom...
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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...
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06/08/2022
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
The performance of time series forecasting has recently been greatly imp...
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12/25/2020
Taxonomy of multimodal self-supervised representation learning
Sensory input from multiple sources is crucial for robust and coherent h...
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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...
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10/22/2020
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations
Zero-shot classification is a generalization task where no instance from...
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10/20/2020
Cross-Modal Information Maximization for Medical Imaging: CMIM
In hospitals, data are siloed to specific information systems that make ...
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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...
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03/16/2020
Object-Centric Image Generation from Layouts
Despite recent impressive results on single-object and single-domain ima...
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12/20/2019
Locality and compositionality in zero-shot learning
In this work we study locality and compositionality in the context of le...
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12/15/2019
Joint Learning of Generative Translator and Classifier for Visually Similar Classes
In this paper, we propose a Generative Translation Classification Networ...
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06/06/2018
Learning to rank for censored survival data
Survival analysis is a type of semi-supervised ranking task where the ta...
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05/29/2017