ML Reproducibility Challenge Submissions

[Re]: On the Relationship between Self-Attention and Convolutional Layers
Mukund Varma T, Nishant Satish Prabhu
- Jan 31, 2021 (edited Apr 30, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Sunnie S. Y. Kim, Sharon Zhang, Nicole Meister, Olga Russakovsky
- Jan 31, 2021 (edited Apr 28, 2021)
- RC2020
- Readers: Everyone
Reproducibility Report: Neural Networks Fail to Learn Periodic Functions and How to Fix It
Mayur Arvind, Mustansir Mama
- Jan 31, 2021 (edited Apr 16, 2021)
- RC2020
- Readers: Everyone
[Re] Can gradient clipping mitigate label noise?
David Mizrahi, Oğuz Kaan Yüksel, Aiday Marlen Kyzy
- Jan 31, 2021 (edited Apr 08, 2021)
- RC2020
- Readers: Everyone
[Re] Spatial-Adaptive Network for Single Image Denoising
Sami Menteş, Furkan Kınlı, Barış Özcan, Furkan Kıraç
- Jan 31, 2021 (edited Apr 08, 2021)
- RC2020
- Readers: Everyone
[Re] VCNet: A Robust Approach to Blind Image Inpainting
Furkan Kınlı, Barış Özcan, Furkan Kıraç
- Jan 31, 2021 (edited Apr 07, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility Challenge: Reformer
Artashes Arutiunian, Morgan McGuire, Hallvar Gisnås, Sheik Mohamed Imran, Dean Pleban, Priyank Negi, David AO Lozano
- Jan 31, 2021 (edited Apr 07, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
[Re] Explaining Groups of Points in Low-Dimensional Representations
Damiaan J W Reijnaers, Daniël B van de Pavert, Giguru Scheuer, Liang Huang
- Jan 31, 2021 (edited Apr 06, 2021)
- RC2020
- Readers: Everyone
[Reproducibility Report] Rigging the Lottery: Making All Tickets Winners
Varun Sundar, Rajat Vadiraj Dwaraknath
- Jan 22, 2021 (edited Apr 03, 2021)
- RC2020
- Readers: Everyone
[RE] ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Mingi Ryu
- Jan 31, 2021 (edited Apr 02, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
EmbedKGQA: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
Jishnu Jaykumar P, Ashish Sardana
- Jan 31, 2021 (edited Apr 01, 2021)
- RC2020
- Readers: Everyone
How effective is TabStructNet in capturing the structure of a table-image into an XML? : A reproducibility report
Vedhas Pandit
- Jan 31, 2021 (edited Apr 01, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Re-Hamiltonian Generative Networks
Carles Balsells Rodas, Oleguer Canal, Federico Taschin
- Jan 31, 2021 (edited Apr 01, 2021)
- RC2020
- Readers: Everyone
[Reproducibility Report] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
David Mingfei Liu, Hye Sun Yun, Grace Fan
- Jan 31, 2021 (edited Apr 01, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility Report: Towards Interpreting BERT for Reading Comprehension Based QA
Gunjan Chhablani, Parul Verma
- Jan 31, 2021 (edited Apr 01, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility study of the Value Equivalence Principle for Model Based Reinforcement Learning
Raj Ghugare
- Jan 31, 2021 (edited Apr 01, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
RC2020 Report: Learning De-biased Representations with Biased Representations
Shubhayu Das, Rwiddhi Chakraborty
- Jan 31, 2021 (edited Apr 01, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility Report: Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
Mrinal Anand, Aditya Garg
- Jan 31, 2021 (edited Apr 01, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation
OWAIS IQBAL, Kiran Purohit, Ankan Mullick
- Jan 31, 2021 (edited Apr 01, 2021)
- 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
- Jan 31, 2021 (edited Apr 01, 2021)
- 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
- Jan 31, 2021 (edited Apr 01, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
[Re] Synbols : Probing Learning Algorithms with Synthetic Datasets
Emanuel Lemus-Monge, Jingyi Xiao, Saba Daftari
- Jan 31, 2021 (edited Apr 01, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Replicating Softmax Deep Double Deterministic Policy Gradients
Owen Lockwood, Mack Qian
- Jan 31, 2021 (edited Apr 01, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
A Reproduction of Ensemble Distribution Distillation
Toomas Liiv, Einar Lennelöv, Aron Noren
- Jan 31, 2021 (edited Apr 01, 2021)
- RC2020
- Readers: Everyone
[Re] Temporal Spike Sequence Learning via Backpropagationfor Deep Spiking Neural Networks
Anil Ozdemir, Laura Rose Edmondson
- Jan 31, 2021 (edited Apr 01, 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone