ML Reproducibility Challenge 2020 Submissions

EmbedKGQA: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
Jishnu Jaykumar P, Ashish Sardana
- Published: 01 Apr 2021, Last Modified: 05 May 2023
- RC2020
- Readers: Everyone
How effective is TabStructNet in capturing the structure of a table-image into an XML? : A reproducibility report
Vedhas Pandit
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Re-Hamiltonian Generative Networks
Carles Balsells Rodas, Oleguer Canal, Federico Taschin
- Published: 01 Apr 2021, Last Modified: 05 May 2023
- RC2020
- Readers: Everyone
[Reproducibility Report] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
David Mingfei Liu, Hye Sun Yun, Grace Fan
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility Report: Towards Interpreting BERT for Reading Comprehension Based QA
Gunjan Chhablani, Parul Verma
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility study of the Value Equivalence Principle for Model Based Reinforcement Learning
Raj Ghugare, Shital Chiddarwar
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
RC2020 Report: Learning De-biased Representations with Biased Representations
Shubhayu Das, Rwiddhi Chakraborty
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility Report: Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
Mrinal Anand, Aditya Garg
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation
OWAIS IQBAL, Kiran Purohit, Ankan Mullick
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
[RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Haswanth Aekula, Sugam Garg, Animesh Gupta
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume - ML Reproducibility Challenge 2020
Sanjana Srinivas, Mahima Agumbe Suresh
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
[Re] Synbols : Probing Learning Algorithms with Synthetic Datasets
Emanuel Lemus-Monge, Jingyi Xiao, Saba Daftari
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Replicating Softmax Deep Double Deterministic Policy Gradients
Owen Lockwood, Mack Qian
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
A Reproduction of Ensemble Distribution Distillation
Toomas Liiv, Einar Lennelöv, Aron Noren
- Published: 01 Apr 2021, Last Modified: 05 May 2023
- RC2020
- Readers: Everyone
[Re] Temporal Spike Sequence Learning via Backpropagationfor Deep Spiking Neural Networks
Anil Ozdemir, Laura Rose Edmondson
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Replication: Fairness without demographics through Adversarially Reweighted Learning
Erik Jenner, Tom Lieberum, Frederik Paul Nolte, Nadja Rutsch
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility report: Deep Fair Clustering for Visual Learning
Eva Sevenster, Rodrigo Alejandro Chavez Mulsa, Joppe Valentijn Wouts, Mozes Van de Kar
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
[Re]: On the Relationship between Self-Attention and Convolutional Layers
Mukund Varma T, Nishant Satish Prabhu
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
On Coordinate Decoding for Keypoint Estimation Tasks
Anargyros Chatzitofis, Nikolaos Zioulis, Georgios Nikolaos Albanis, Dimitrios Zarpalas, Petros Daras
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
On end-to-end 6DOF object pose estimation and robustness to object scale
Georgios Nikolaos Albanis, Nikolaos Zioulis, Anargyros Chatzitofis, Anastasios Dimou, Dimitrios Zarpalas, Petros Daras
- Published: 01 Apr 2021, Last Modified: 05 May 2023
- RC2020
- Readers: Everyone
[Re:] Training Binary Neural Networks using the Bayesian Learning Rule
Prateek Garg, Lakshya Singhal, Ashish Sardana
- Published: 01 Apr 2021, Last Modified: 05 May 2023
- RC2020
- Readers: Everyone
Replication Study of “Generative Causal Explanations of Black-Box classifiers”
Ivo Verhoeven, Xinyi Chen, Qingzhi Hu, Mario Holubar
- Published: 01 Apr 2021, Last Modified: 05 May 2023
- RC2020
- Readers: Everyone
Reproducibility report for "Interpretable Complex-Valued Neural Networks for Privacy Protection"
Arsen Sheverdin, Noud Corten, Alko Knijff, Georg Lange
- Published: 01 Apr 2021, Last Modified: 05 May 2023
- RC2020
- Readers: Everyone
[Re] Explaining Groups of Points in Low-Dimensional Representations
Damiaan J W Reijnaers, Daniël B van de Pavert, Giguru Scheuer, Liang Huang
- Published: 01 Apr 2021, Last Modified: 05 May 2023
- RC2020
- Readers: Everyone
Fairness by Learning Orthogonal Disentangled Representations
Spyros Avlonitis, Alexander Papadatos, Danai Xezonaki
- 31 Jan 2021 (modified: 05 May 2023)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone