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Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks


Mar 18, 2021
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler

* To appear in CVPR 2021 

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Fast Transformers with Clustered Attention


Jul 09, 2020
Apoorv Vyas, Angelos Katharopoulos, Fran├žois Fleuret


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Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention


Jun 30, 2020
Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, Fran├žois Fleuret

* ICML 2020, project at https://linear-transformers.com/ 

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Processing Megapixel Images with Deep Attention-Sampling Models


May 03, 2019
Angelos Katharopoulos, Fran├žois Fleuret

* To appear in ICML 2019 

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Not All Samples Are Created Equal: Deep Learning with Importance Sampling


Jun 09, 2018
Angelos Katharopoulos, Fran├žois Fleuret

* Accepted at ICML 2018 (short oral) 

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Biased Importance Sampling for Deep Neural Network Training


Sep 13, 2017
Angelos Katharopoulos, Fran├žois Fleuret


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Learning Local Feature Aggregation Functions with Backpropagation


Jun 26, 2017
Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos

* In Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017) 

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