Program
Time |
Event |
(+)
|
14:00 - 14:05
|
Workshop Introduction from organizers |
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14:05 - 14:45
|
Invited Speaker (RRPR room) |
(+)
|
14:05 - 14:45 |
› Preserving source code in Software Heritage: a foundation for reproducibility - Roberto Di Cosmo | |
|
14:45 - 15:30
|
RR Framework (RRPR room) - Miguel Colom |
(+)
|
14:45 - 15:00 |
› ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility - Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Oliehoek Frans, Annibale Panichella, Przemysław Pawełczak, Stjepan Picek, Mathijs De Weerdt, Jan Van Gemer |
|
15:00 - 15:15 |
› Reproducibility: Evaluating the Evaluations - Daniel Lopresti, George Nagy |
|
15:15 - 15:30 |
› torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation - Yoshitomo Matsubara |
|
15:30 - 15:40
|
Virtual Coffee break |
|
15:40 - 16:20
|
There and back again, a replicability tale - Invited Speaker from authors: N. Bonneel, D. Coeurjolly, J. Digne and N. Mellado |
|
16:20 - 16:45
|
RR Results - Daniel Lopresti |
(+)
|
16:20 - 16:35 |
› Pith Estimation on Tree Log End Images - Rémi Decelle | |
|
16:35 - 16:45 |
› Structure and Concept of the Benchmark for Vesselness Filters with focus on Reproducibilty and Future Evaluations - Jonas Lamy | |
|
16:45 - 16:55
|
Virtual Coffee break |
|
16:55 - 17:40
|
RR Results: Special Track Deep Learning (RRPR room) - Adrien Krähenbühl |
(+)
|
16:55 - 17:10 |
› Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection - Devashish Lohan | |
|
17:10 - 17:25 |
› Tree Defect Segmentation using Geometric Features and CNN - Florian Delconte | |
|
17:25 - 17:40 |
› Creating Emotion Recognition Algorithms based on a Convolutional Neural Network for Sentiment Analysis - Vera Ivanyuk | |
|
17:40 - 17:55
|
Fast track of short papers (RRPR room) - Carlos Crispim-Junior |
(+)
|
17:40 - 17:43 |
› Reproducing the sparse Huffman Address Map compression for deep neural networks - Dario Malchiodi | |
|
17:43 - 17:46 |
› A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes - Bolelli, Stefano Allegretti, Costantino Grana |
|
17:46 - 17:49 |
› Implementation of Genetic Pseudo Rehearsal - Bhasker Sri Harsha Suri, Kalidas Yeturu |
|
17:49 - 17:52 |
› On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation - Martin Kolarik, Radim Burget, Carlos M. Travieso-Gonzalez, Jan Kocica |
|
17:52 - 17:55 |
› Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors - Yuki Inoue |
|
17:55 - 18:00
|
Workshop Conclusion |
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