accepted.bib

@inproceedings{ahmed2022re,
  title           = {[{RE}] Nondeterminism and Instability in Neural Network
                  Optimization},
  author          = {Waqas Ahmed and Sheeba Samuel},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=BNefkaG73At}
}

@inproceedings{ankit2022counterfactual,
  title           = {Counterfactual Generative Networks},
  author          = {Ankit Ankit and Baradwaj Varadharajan and Sameer Ambekar
                  and Mark Alence},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=BSHg22G7n0F}
}

@inproceedings{ashok2022re,
  title           = {[Re] Does Self-Supervision Always Improve Few-Shot Learning?},
  author          = {Arjun Ashok and Haswanth Aekula},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=ScfP3G73CY}
}

@inproceedings{athanasiadis2022weaklysupervised,
  title           = {Weakly-Supervised Semantic Segmentation via Transformer
                  Explainability},
  author          = {Ioannis Athanasiadis and Georgios Moschovis and Alexander
                  Tuoma},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=rcEDhGX3AY}
}

@inproceedings{bagad2022reproducibility,
  title           = {Reproducibility Study of {\textquotedblleft}Counterfactual
                  Generative Networks{\textquotedblright}},
  author          = {Piyush Bagad and Jesse Maas and Paul Hilders and Danilo de
                  Goede},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=HNlzT3G720t}
}

@inproceedings{boer2022reproducibility,
  title           = {Reproducibility study of ''Data-Driven Methods for
                  Balancing Fairness and Efficiency in Ride-Pooling''},
  author          = {Sarah De Boer and Radu Alexandru Cosma and Lukas Knobel and
                  Yeskendir Koishekenov and Benjamin Shaffrey},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=BE3Ms3GXhCF}
}

@inproceedings{brivio2022reproducibility,
  title           = {Reproducibility report: Hate Speech Detection based on
                  Sentiment Knowledge Sharing},
  author          = {Matteo Brivio and Cagri Coltekin},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=SSSGs3M7nRY}
}

@inproceedings{burger2022reproducibility,
  title           = {Reproducibility Study - {SCOUTER}: Slot Attention-based
                  Classifier for Explainable Image Recognition},
  author          = {Maarten Burger and Kaya ter Burg and Sam Titarsolej and
                  Selina Jasmin Khan},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=HZNlq3fmhRF}
}

@inproceedings{buvanesh2022re,
  title           = {[Re] AdaBelief Optimizer: Adapting Stepsizes by the Belief
                  in Observed Gradients},
  author          = {Anirudh Buvanesh and Madhur Panwar},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=B9gDnMmn0t}
}

@inproceedings{dasu2022reproduction,
  title           = {[Re] GANSpace: Discovering Interpretable GAN Controls},
  author          = {Vishnu Asutosh Dasu and Midhush Manohar T.K.},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=BtZVD2f7n0F}
}

@inproceedings{drabent2022replication,
  title           = {Replication study of ''Privacy-preserving Collaborative
                  Learning with Automatic Transformation Search''},
  author          = {Karolina Drabent and Konrad Bereda and Stefan Wijnja and
                  Thijs Sluijter},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=SY84JTG73CK}
}

@inproceedings{eaton2022reproduction,
  title           = {Reproduction and Extension of ''Queens are Powerful too:
                  Mitigating Gender Bias in Dialogue Generation''},
  author          = {Erica Eaton and Pirouz Naghavi},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=StblE2MQ3AY}
}

@inproceedings{eijkelboom2022reproduction,
  title           = {Reproduction Study of Variational Fair Clustering},
  author          = {Floor Eijkelboom and Mark Fokkema and Anna Lau and Luuk
                  Verheijen},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=rq8fRhMm20F}
}

@inproceedings{ezard2022comprehensive,
  title           = {Comprehensive Attention Self-Distillation
                  forWeakly-Supervised Object Detection - A Reproducibility
                  Study},
  author          = {Bradley Ezard},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=rclU3fmhRK}
}

@inproceedings{geijn2022reproducibility,
  title           = {Reproducibility study for ''Explaining in Style: Training a
                  {GAN} to explain a classifier in StyleSpace''},
  author          = {Chase Myers van de Geijn and Victor Kyriacou and Irene
                  Papadopoulou and Vasiliki Vasileiou},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=SK8gAhfX2AK}
}

@inproceedings{hardy2022re,
  title           = {[{RE}] An Implementation of Fair Robust Learning},
  author          = {Ian Hardy},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=Sczshz7h0K}
}

@inproceedings{hoppe2022re,
  title           = {[Re] Understanding Self-Supervised Learning Dynamics
                  without Contrastive Pairs },
  author          = {Tobias H{\"o}ppe and Agnieszka Miszkurka and Dennis Bogatov
                  Wilkman},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=r4xe3nMQ3AY}
}

@inproceedings{jiles2022re,
  title           = {[Re] Domain Generalization using Causal Matching},
  author          = {RICHARD D JILES},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=r43elaGmhCY}
}

@inproceedings{kirca2022reproducibility,
  title           = {Reproducibility Study of {\textquoteright}Exacerbating
                  Algorithmic Bias through Fairness Attacks{\textquoteright}},
  author          = {Isa-Ali Kirca and Dani{\"e}l Hamerslag and Afra Baas and
                  Juno Prent},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=rKbgh3fXnRK}
}

@inproceedings{kolkman2022strategic,
  title           = {Strategic classification made practical: reproduction},
  author          = {Guilly Kolkman and Maks kulicki and Jan Athmer and Alex
                  Labro},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=rNgg03fXnRY}
}

@inproceedings{korporaal2022replication,
  title           = {Replication study of ''Explaining in Style: Training a
                  {GAN} to explain a classifier in StyleSpace''},
  author          = {Daan Korporaal and Evaline Bosch and Rutger Ettes and Gijs
                  Van Meer},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=BtIz0nz7hRY}
}

@inproceedings{lombardo2022on,
  title           = {On the reproducibility of ''Exacerbating Algorithmic Bias
                  through Fairness Attacks''},
  author          = {Andrea Lombardo and Matteo Tafuro and Tin Had{\v{z}}i
                  Veljkovi{\'c} and Lasse Becker-Czarnetzki},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=H4lzChGmhCK}
}

@inproceedings{luisa2022thompson,
  title           = {Thompson Sampling for Bandits with Clustered Arms},
  author          = {Andra{\v{z}} De Luisa},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=r5LS3fmh0t}
}

@inproceedings{mast2022replication,
  title           = {Replication Study of ''Fairness and Bias in Online
                  Selection''},
  author          = {Diego van der Mast and Jaap Stefels and Jacky Chu and
                  Soufiane Ben Haddou},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=SNeep2MXn0K}
}

@inproceedings{matsumoto2022re,
  title           = {[Re] Projection-based Algorithm for Updating the
                  Truncated{SVD} of Evolving Matrices},
  author          = {Shion Matsumoto and Rohan Sinha Varma and Andy Chen},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=HN2xWpMQ30K}
}

@inproceedings{mehta2022re,
  title           = {[{RE}] Background-Aware Pooling and Noise-Aware Loss for
                  Weakly-Supervised Semantic Segmentation},
  author          = {Aryan Mehta and Karan Uppal and Kaushal Jadhav and Monish
                  Natarajan and Mradul Agrawal and Debashish Chakravarty},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=rUQllTGQhAY}
}

@inproceedings{mikler2022comparing,
  title           = {Comparing Rewinding and Fine-tuning in Neural Network
                  Pruning},
  author          = {Szymon Jakub Mikler},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=HxWEL2zQ3AK}
}

@inproceedings{nalmpantis2022re,
  title           = {[Re] Exacerbating Algorithmic Bias through Fairness
                  Attacks},
  author          = {Angelos Nalmpantis and Apostolos Panagiotopoulos and John
                  Gkountouras and Konstantinos Papakostas},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=rYLMJ6zX3RF}
}

@inproceedings{neplenbroek2022replication,
  title           = {Replication study of ''Data-Driven Methods for Balancing
                  Fairness and Efficiency in Ride-Pooling''},
  author          = {Vera Neplenbroek and Sabijn Perdijk and Victor Prins},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=BEhgn2zm3CK}
}

@inproceedings{nilsson2022replicating,
  title           = {Replicating and Improving {GAN}2Shape Through Novel Shape
                  Priors and Training Steps},
  author          = {Alfred Nilsson and Alessio Galatolo},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=B8mxkTzX2RY}
}

@inproceedings{panigrahi2022re,
  title           = {[Re]: Value Alignment Verification},
  author          = {Siba Smarak Panigrahi and Sohan Patnaik},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=BFLM3nMmhCt}
}

@inproceedings{petcu2022replication,
  title           = {Replication Study of ''Fairness and Bias in Online
                  Selection''},
  author          = {Roxana Maria Petcu and Pim Praat and Manolis Rerres and
                  Jeroen Gerardus Samuel Wijnen},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=S9gs3MmhAY}
}

@inproceedings{peters2022reproducing,
  title           = {Reproducing ''Fair Selective Classification via
                  Sufficiency''},
  author          = {Nils Peters},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=r9Leh2M7hCt}
}

@inproceedings{ranjan2022re,
  title           = {[Re] Differentiable Spatial Planning using Transformers},
  author          = {Rohit Ranjan and Himadri Bhakta and Animesh Jha and Parv
                  Maheshwari},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=HFUI1pfQnCF}
}

@inproceedings{rucks2022re,
  title           = {[Re] Solving Phase Retrieval With a Learned Reference},
  author          = {Nick Rucks and Tobias Uelwer and Stefan Harmeling},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=rlWzUnM72RF}
}

@inproceedings{sen2022reproducibility,
  title           = {Reproducibility Report: Contrastive Learning of
                  Socially-aware Motion Representations},
  author          = {Roopsa Sen and Sidharth Sinha and Parv Maheshwari and
                  Animesh Jha},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=SIQEl6f7h0Y}
}

@inproceedings{shukla2022from,
  title           = {From Goals, Waypoints \& Paths To Long Term Human
                  Trajectory Forecasting},
  author          = {Abhishek Shukla and Sourya Roy and Yogesh Chawla and Avi
                  Amalanshu and Shubhendu Pandey and Rudransh Agrawal and Aditya
                  Uppal and Viswesh N and Pradipto Mondal and Anubhab Dasgupta
                  and Debhashish Chakravarty},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=HV2zgpM7n0F}
}

@inproceedings{stropnik2022re,
  title           = {[Re] Graph Edit Networks},
  author          = {Vid Stropnik and Maru{\v{s}}a Ora{\v{z}}em},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=H5lOnzXhAY}
}

@inproceedings{tersek2022re,
  title           = {[Re] Learning to count everything},
  author          = {Matija Ter{\v{s}}ek and Domen Vre{\v{s}} and Ma{\v{s}}a
                  Kljun},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=HKbgd3zmh0t}
}

@inproceedings{togt2022badder,
  title           = {Badder Seeds: Reproducing the Evaluation of Lexical
                  Methods for Bias Measurement},
  author          = {Jille Van der Togt and Lea Tiyavorabun and Matteo Rosati
                  and Giulio Starace},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=HcIxA3Mm2CF}
}

@inproceedings{trojer2022transparent,
  title           = {Transparent Object Tracking Benchmark},
  author          = {{\v{Z}}iga Trojer},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=HxZZV3MQ20Y}
}

@inproceedings{vleuten2022re,
  title           = {[Re] Explaining in Style: Training a {GAN} to explain a
                  classifier in StyleSpace},
  author          = {Noah Van der Vleuten and Tadija Radusinovi{\'c} and Rick
                  Akkerman and Meilina Reksoprodjo},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=SYUxyazQh0Y}
}

@inproceedings{wang2022replication,
  title           = {Replication Study of {DECAF}: Generating Fair Synthetic
                  Data Using Causally-Aware Generative Networks},
  author          = {Shuai Wang and Paul Verhagen and Jennifer Zhuge and Velizar
                  Shulev},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=SVx46hzmhRK}
}

@inproceedings{warmerdam2022re,
  title           = {[Re] Privacy-preserving collaborative learning with
                  automatic transformation search},
  author          = {Alfonso Taboada Warmerdam and Lucas Meijer and Ole Nissen
                  and Lodewijk Loerakker},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=S9Iepnz7hRY}
}

@inproceedings{wilschut2022reproducibility,
  title           = {Reproducibility study of {\textquotedblleft}Robust
                  Counterfactual Explanations on Graph Neural
                  Networks{\textquotedblright}},
  author          = {Romana Isabelle Wilschut and Thomas Paul Alexandre Wiggers
                  and Roman Sebastiaan Oort and Thomas Arthur Van Orden},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=HWNgihGX20Y}
}

@inproceedings{dzubur2022re,
title={[Re] A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space},
author={Benjamin D{\v{z}}ubur},
booktitle={ML Reproducibility Challenge 2021 (Fall Edition)},
year={2022},
url={https://openreview.net/forum?id=rxWeB3zQ2CY}
}

@inproceedings{yilmaz2022re,
  title           = {[Re] Lifting 2D Style{GAN} for 3D-Aware Face Generation},
  author          = {Do{\u{g}}a Y{\i}lmaz and Furkan K{\i}nl{\i} and
                  Bar{\i}{\c{s}} {\"O}zcan and Furkan K{\i}ra{\c{c}}},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=BcNonfQ3RY}
}

@inproceedings{zrimsek2022learning,
  title           = {Learning Unknown from Correlations: Graph Neural Network
                  for Inter-novel-protein Interaction Prediction},
  author          = {Ur{\v{s}}a Zrim{\v{s}}ek},
  booktitle       = {ML Reproducibility Challenge 2021 (Fall Edition)},
  year            = 2022,
  url             = {https://openreview.net/forum?id=Hc8GOhfmhRF}
}