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@Article {Sinha:2021,
author = {Koustuv Sinha and Jesse Dodge and Sasha Luccioni and Jessica Zosa Forde and Robert Stojnic and Joelle Pineau},
title = {{ML Reproducibility Challenge 2020}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#1}},
doi = {10.5281/zenodo.4833117},
url = {https://zenodo.org/record/4833117/files/article.pdf},
code_url = {},
code_doi = {},
code_swh = {},
data_url = {},
data_doi = {},
review_url = {},
type = {Editorial},
language = {},
domain = {},
keywords = {machine learning, neurips, reproducibility challenge}
}
@Article {Albanis:2021,
author = {Georgios Albanis and Nikolaos Zioulis and Anargyros Chatzitofis and Anastasios Dimou and Dimitrios Zarpalas and Petros Daras},
title = {{[Re] On end-to-end 6{DoF} object pose estimation and robustness to object scale}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#2}},
doi = {10.5281/zenodo.4833219},
url = {https://zenodo.org/record/4833219/files/article.pdf},
code_url = {https://github.com/tzole1155/EndToEndObjectPose},
code_doi = {},
code_swh = {swh:1:dir:5e754c06b0dac970857b31733766fb9a268edee6},
data_url = {https://vcl3d.github.io/UAVA/},
data_doi = {10.5281/zenodo.3994337},
review_url = {https://openreview.net/forum?id=PCpGvUrwfQB},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x , python, pytorch, object pose estimation}
}
@Article {Arvind:2021,
author = {Mayur Arvind and Mustansir Mama},
title = {{[Re] Neural Networks Fail to Learn Periodic Functions and How to Fix It}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#3}},
doi = {10.5281/zenodo.4833389},
url = {https://zenodo.org/record/4833389/files/article.pdf},
code_url = {https://github.com/mayurak47/Reproducibility_Challenge},
code_doi = {10.5281/zenodo.4696245},
code_swh = {swh:1:dir:8887a5d45dac9427457c6b5869728e1ba3cfd37c},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=ysFCiXtCOj},
type = {Replication},
language = {python},
domain = {ML Reproducibility Challenge 2020},
keywords = {periodic functions, activation, python}
}
@Article {Teule:2021,
author = {Tobias Teule and Nienke Reints and Chris Al Gerges and Pauline Baanders},
title = {{[Re] Deep Fair Clustering for Visual Learning}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#4}},
doi = {10.5281/zenodo.4833547},
url = {https://zenodo.org/record/4833547/files/article.pdf},
code_url = {https://github.com/topteulen/UVA-FACT},
code_doi = {},
code_swh = {swh:1:dir:7058002f161d29f18e52a18ebe326b7911b1b616;},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=DXVAJGohUKs},
type = {Replication},
language = {python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x,python, Deep clustering}
}
@Article {Garg:2021,
author = {Prateek Garg and Lakshya Singhal and Ashish Sardana},
title = {{[Re] Training Binary Neural Networks using the Bayesian Learning Rule}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#5}},
doi = {10.5281/zenodo.4833681},
url = {https://zenodo.org/record/4833681/files/article.pdf},
code_url = {https://github.com/prateekstark/training-binary-neural-network},
code_doi = {10.5281/zenodo.4716863},
code_swh = {swh:1:dir:904c01b8e4ac0d4acd1f5fe667511d5a9234d8da},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=bhiGno-Cxq},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, machine learning, deep learning, binary neural network, python, pytorch}
}
@Article {Habacker:2021,
author = {Rahel Habacker and Andrew Harrison and Mathias Parisot and Ard Snijders},
title = {{[Re] Reproducing Learning to Deceive With Attention-Based Explanations}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#6}},
doi = {10.5281/zenodo.4834146},
url = {https://zenodo.org/record/4834146/files/article.pdf},
code_url = {https://github.com/MatPrst/deceptive-attention-reproduced},
code_doi = {10.5281/zenodo.4692668},
code_swh = {},
data_url = {https://github.com/MatPrst/deceptive-attention-reproduced/tree/main/deceptive-attention/src/classification/data},
data_doi = {10.5281/zenodo.4686793},
review_url = {https://openreview.net/forum?id=-rn9m0Gt6AQ},
type = {Replication},
language = {Python 3},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x, Python}
}
@Article {Holdijk:2021,
author = {Lars Holdijk and Maarten Boon and Stijn Henckens and Lysander de Jong},
title = {{[Re] Parameterized Explainer for Graph Neural Network}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#7}},
doi = {10.5281/zenodo.4834242},
url = {https://zenodo.org/record/4834242/files/article.pdf},
code_url = {https://github.com/LarsHoldijk/RE-ParameterizedExplainerForGraphNeuralNetworks},
code_doi = {},
code_swh = {swh:1:dir:541677177d4dbb9dc5b612dfc41373fad40b08f0},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=8JHrucviUf},
type = {Replication},
language = {English},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x}
}
@Article {Kim:2021,
author = {Sunnie S. Y. Kim and Sharon Zhang and Nicole Meister and Olga Russakovsky},
title = {{[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#8}},
doi = {10.5281/zenodo.4834352},
url = {https://zenodo.org/record/4834352/files/article.pdf},
code_url = {https://github.com/princetonvisualai/ContextualBias},
code_doi = {},
code_swh = {swh:1:dir:bc41dd1d3cbd9c97754c3da0ee20ba2273b742fd},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=PRXM8-O9PKd},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x}
}
@Article {Li:2021,
author = {Ci Li and Ruibo Tu and Hui Zhang},
title = {{[Re] Reimplementation of FixMatch and Investigation on Noisy (Pseudo) Labels and Confirmation Errors of FixMatch}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#9}},
doi = {10.5281/zenodo.4834442},
url = {https://zenodo.org/record/4834442/files/article.pdf},
code_url = {https://github.com/Celiali/FixMatch.git},
code_doi = {},
code_swh = {swh:1:dir:6c3389cac6218bdd28599fea638c6c5def256081},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=3VXeifKSaTE},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x}
}
@Article {Liiv:2021,
author = {Toomas Liiv and Einar Lennelöv and Aron Norén},
title = {{[Re] A Reproduction of Ensemble Distribution Distillation}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#10}},
doi = {10.5281/zenodo.4834516},
url = {https://zenodo.org/record/4834516/files/article.pdf},
code_url = {https://github.com/lennelov/endd-reproduce},
code_doi = {},
code_swh = {swh:1:dir:2c366708175b2ed7c83ce6b33a80dd43c8aad915},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=p1BXNUcTFsN},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x, uncertainty estimation, ensemble distribution distillation, tensorflow}
}
@Article {Stephen:2021,
author = {Kevin Stephen and Varun Menon},
title = {{[Re] Learning Memory Guided Normality for Anomaly Detection}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#11}},
doi = {10.5281/zenodo.4834610},
url = {https://zenodo.org/record/4834610/files/article.pdf},
code_url = {https:/github.com/alchemi5t/MNADrc},
code_doi = {10.5281/zenodo.4681515},
code_swh = {1:dir:120b52bc3dfe115b3329698a39ea71c7cd5862d1},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=vvLWTXkJ2Zv},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x}
}
@Article {Mentes:2021,
author = {Sami Menteş and Furkan Kınlı and Barış Özcan and Furkan Kıraç},
title = {{[Re] Spatial-Adaptive Network for Single Image Denoising}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#12}},
doi = {10.5281/zenodo.4834672},
url = {https://zenodo.org/record/4834672/files/article.pdf},
code_url = {https://github.com/sami-automatic/SADNet_Replication},
code_doi = {},
code_swh = {swh:1:dir:1c60d43a0fe927c1f1287adefd252804c2f273b9},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=yiAI9QN9nYt¬eId=SMFjCY6qG8},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {image denoising, image restoration, image processing}
}
@Article {Mizrahi:2021,
author = {David Mizrahi and Oğuz Kaan Yüksel and Aiday Marlen Kyzy},
title = {{[Re] Can gradient clipping mitigate label noise?}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#13}},
doi = {10.5281/zenodo.4834744},
url = {https://zenodo.org/record/4834744/files/article.pdf},
code_url = {https://github.com/dmizr/phuber},
code_doi = {},
code_swh = {swh:1:dir:3363073199859b8bec0c4362e47aa1e786985793},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=TM_SgwWJA23},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, machine learning, deep learning, label noise, python, pytorch}
}
@Article {Kireev:2021,
author = {Klim Kireev and Amirkeivan Mohtashami and Ehsan Pajouheshgar},
title = {{[Re] Warm-Starting Neural Network Training}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#14}},
doi = {10.5281/zenodo.4834856},
url = {https://zenodo.org/record/4834856/files/article.pdf},
code_url = {https://github.com/CS-433/cs-433-project-2-fesenjoon},
code_doi = {},
code_swh = {swh:1:dir:a7205bcd48196c1391d8c56414a1e20c39b52aa7},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=N43DVxrjCw},
type = {Replication},
language = {python},
domain = {ML Reproducibility Challenge 2020},
keywords = {warm-starting, generalization, deep learning}
}
@Article {P:2021,
author = {Jishnu Jaykumar P and Ashish Sardana},
title = {{[Re] Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#15}},
doi = {10.5281/zenodo.4834942},
url = {https://zenodo.org/record/4834942/files/article.pdf},
code_url = {https://github.com/jishnujayakumar/MLRC2020-EmbedKGQA},
code_doi = {},
code_swh = {swh:1:dir:c95bc4fec7023c258c7190975279b5baf6ef6725},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=VFAwCMdWY7},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {knowledge graph, embeddings, multi-hop, question-answering, deep learning}
}
@Article {Reijnaers:2021,
author = {Damiaan J. W. Reijnaers and Daniël B. van de Pavert and Giguru Scheuer and Liang Huang},
title = {{[Re] Explaining Groups of Points in Low-Dimensional Representations}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#16}},
doi = {10.5281/zenodo.4835056},
url = {https://zenodo.org/record/4835056/files/article.pdf},
code_url = {https://github.com/damiaanr/fact-ai},
code_doi = {10.5281/zenodo.4686025},
code_swh = {swh:1:dir:df71f3541f882bfb2474dc177b8eaba31f905d9d},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=hq3TxQK5cox},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x, python, counterfactual explanations, transitive global translations, dimensionality reduction, explainable artificial intelligence}
}
@Article {Deprez:2021,
author = {Hidde Lekanne gezegd Deprez and Geerten Rijsdijk and Bart de Rooij and Wouter Zwerink},
title = {{[Re] Reproducing 'Identifying through flows for recovering latent representations'}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#17}},
doi = {10.5281/zenodo.4839595},
url = {https://zenodo.org/record/4839595/files/article.pdf},
code_url = {https://github.com/HiddeLekanne/Reproducibility-Challenge-iFlow},
code_doi = {10.5281/zenodo.4704869},
code_swh = {swh:1:dir:a08aac73d57611c3d2abc0a55437d7bae40d02f7},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=8jmIpypMzE},
type = {Replication},
language = {Python 3},
domain = {ML Reproducibility Challenge 2020},
keywords = {identifiability, iFlow, iVAE, Normalizing Flows, Python 3},
note = "new version with corrected page/article number. original DOI was 10.5281/zenodo.4835150"
}
@Article {Balsells Rodas:2021,
author = {Balsells Rodas, Carles and Canal Anton, Oleguer and Taschin, Federico},
title = {{[Re] Hamiltonian Generative Networks}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#18}},
doi = {10.5281/zenodo.4835278},
url = {https://zenodo.org/record/4835278/files/article.pdf},
code_url = {https://github.com/CampusAI/Hamiltonian-Generative-Networks},
code_doi = {10.5281/zenodo.4673473},
code_swh = {swh:1:dir:7c7cee4b1c4dc7dfa46b4b4bf5c3b8b20deb5b26},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=Zszk4rXgesL},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {Hamiltonian, generative network, variational, python, pytorch}
}
@Article {Schneider:2021,
author = {Maja Schneider and Marco Körner},
title = {{[Re] Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#19}},
doi = {10.5281/zenodo.4835356},
url = {https://zenodo.org/record/4835356/files/article.pdf},
code_url = {https://github.com/maja601/pytorch-psetae},
code_doi = {},
code_swh = {swh:1:dir:631305811058b775406ae624095e3ec66ace6437},
data_url = {http://www.eurocrops.tum.de/},
data_doi = {},
review_url = {},
type = {Replication},
language = {python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x, python, transformer, self-attention, time series, crop classification, earth observation}
}
@Article {Sheverdin:2021,
author = {Arsen Sheverdin and Alko Knijff and Noud Corten and Georg Lange},
title = {{[Re] Reproducibility report of "Interpretable Complex-Valued Neural Networks for Privacy Protection"}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#20}},
doi = {10.5281/zenodo.4835431},
url = {https://zenodo.org/record/4835431/files/article.pdf},
code_url = {https://github.com/GANA-FACT-AI/gana-fact-ai},
code_doi = {},
code_swh = {swh:1:dir:16f75580c3619b9e0b00b6dceef8e5bf2f5a47c4},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=P30M7d9DyXw},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x, machine, learning, deep, complex, valued, neural, network, python, pytorch}
}
@Article {Sundar:2021,
author = {Varun Sundar and Rajat Vadiraj Dwaraknath},
title = {{[Re] Rigging the Lottery: Making All Tickets Winners}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#21}},
doi = {10.5281/zenodo.4835564},
url = {https://zenodo.org/record/4835564/files/article.pdf},
code_url = {https://github.com/varun19299/rigl-reproducibility},
code_doi = {},
code_swh = {swh:1:dir:0707870fafa16ef60dc64071e1aed482e373e75f},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=riCIeP6LzEE},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x, python, pytorch, sparse-networks}
}
@Article {Bouwman:2021,
author = {Pieter Bouwman and Yun Li and Rogier van der Weerd and Frank Verhoef},
title = {{[Re] Reproducibility study - Does enforcing diversity in hidden states of LSTM-Attention models improve transparency?}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#22}},
doi = {10.5281/zenodo.4835592},
url = {https://zenodo.org/record/4835592/files/article.pdf},
code_url = {https://github.com/MotherOfUnicorns/FACT_AI_project},
code_doi = {},
code_swh = {swh:1:dir:19a8073757cc142f8f50eb44014aca87cad0b8bf},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=lE0wqKGROKa},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {Attention, NLP, Transparency, Explainability, Faithfulness, Plausibility, Reproducibility, LSTM, ReScience}
}
@Article {Verhoeven:2021,
author = {Ivo Verhoeven and Xinyi Chen and Qingzhi Hu and Mario Holubar},
title = {{[Re] Replication Study of 'Generative causal explanations of black-box classifiers'}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#23}},
doi = {10.5281/zenodo.4835600},
url = {https://zenodo.org/record/4835600/files/article.pdf},
code_url = {https://github.com/shin-ee-chen/UvA_FACT_2021},
code_doi = {},
code_swh = {swh:1:dir:9d960937f2b11bb67b53bbe4eaa940c14cadf9d1},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=Vqtf4kZg2j},
type = {Replication},
language = {python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x, python, causal explanations, variational autoencoders, explainable artificial intelligence, post-hoc explanation}
}
@Article {Verma:2021,
author = {Rajeev Verma and Jim J. O. Wagemans and Paras Dahal and Auke Elfrink},
title = {{[Re] Explaining Groups of Points in Low-Dimensional Representations}},
journal = {ReScience C},
year = {2021},
month = {5},
volume = {7},
number = {2},
pages = {{#24}},
doi = {10.5281/zenodo.4835602},
url = {https://zenodo.org/record/4835602/files/article.pdf},
code_url = {https://github.com/elfrink1/FACT},
code_doi = {},
code_swh = {swh:1:dir:445130f59283e6dce7df5eb72dd346a5c57c9230},
data_url = {},
data_doi = {},
review_url = {https://openreview.net/forum?id=cqAHExg2f},
type = {Replication},
language = {Python},
domain = {ML Reproducibility Challenge 2020},
keywords = {rescience c, rescience x}
}