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Contrastive Neural Processes for Self-Supervised Learning

Oct 31, 2021
Konstantinos Kallidromitis, Denis Gudovskiy, Kazuki Kozuka, Ohama Iku, Luca Rigazio

* 16 pages, 6 figures, ACML 2021 

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AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation

Mar 11, 2021
Denis Gudovskiy, Luca Rigazio, Shun Ishizaka, Kazuki Kozuka, Sotaro Tsukizawa

* Accepted to CVPR 2021. Preprint 

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DoorGym: A Scalable Door Opening Environment And Baseline Agent

Aug 07, 2019
Yusuke Urakami, Alec Hodgkinson, Casey Carlin, Randall Leu, Luca Rigazio, Pieter Abbeel

* Fixed authors' affiliation. Deleted the redundant expression on page 7 

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DNN Feature Map Compression using Learned Representation over GF(2)

Aug 15, 2018
Denis A. Gudovskiy, Alec Hodgkinson, Luca Rigazio

* CEFRL2018 

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TransFlow: Unsupervised Motion Flow by Joint Geometric and Pixel-level Estimation

Oct 30, 2017
Stefano Alletto, Davide Abati, Simone Calderara, Rita Cucchiara, Luca Rigazio

* We have found a bug in the flow evaluation code compromising the experimental evaluation and the results provided in the paper are no longer correct. We are currently working on a new experimental campaign but we estimate that results will be available in a few weeks and will drastically change the paper, hence the withdraw request 

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Path Integral Networks: End-to-End Differentiable Optimal Control

Jun 29, 2017
Masashi Okada, Luca Rigazio, Takenobu Aoshima

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ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks

Jun 07, 2017
Denis A. Gudovskiy, Luca Rigazio

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Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking

Jan 24, 2017
Minyoung Kim, Stefano Alletto, Luca Rigazio

* 1) accepted as a poster presentation at WiML (Women in Machine Learning) workshop 2016, colocated with NIPS 2016 in Barcelona, Spain, 2) accepted as a poster presentation at MLITS (Machine Learning for Intelligent Transportation Systems) Workshop held in conjunction with the NIPS 2016 in Barcelona, Spain 

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Towards Deep Neural Network Architectures Robust to Adversarial Examples

Apr 09, 2015
Shixiang Gu, Luca Rigazio

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Deep Clustered Convolutional Kernels

Mar 06, 2015
Minyoung Kim, Luca Rigazio

* JMLR: Workshop and Conference Proceedings 44 (2015) 160-172 
* draft 

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