ML Reproducibility Challenge Submissions

EmbedKGQA: Improving Multi-hop Question Answering overKnowledge Graphs using Knowledge Base Embeddings
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
How effective is TabStructNet in capturing the structure of a table-image into an XML? : A reproducibility report
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Re-Hamiltonian Generative Networks
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
[Reproducibility Report] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility Report: Towards Interpreting BERT for Reading Comprehension QA
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility study of the Value Equivalence principle for Model Based Reinforcement Learning
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
RC2020 Report: Learning De-biased Representations with Biased Representations
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility Report: Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility Report Contextualizing Hate Speech Classifiers with Post-hoc Explanation
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Anonymous
- 31 Jan 2021 (modified: 02 Mar 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
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
[Re] Synbols : Probing Learning Algorithms with Synthetic Datasets
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Replicating Softmax Deep Double Deterministic Policy Gradients
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
A Reproduction of Ensemble Distribution Distillation
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
[Re] Temporal Spike Sequence Learning via Backpropagationfor Deep Spiking Neural Networks
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Replication: Fairness without demographics through Adversarially Reweighted Learning
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility report: Deep Fair Clustering for Visual Learning
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
On the Relationship between Self-Attention and Convolutional Layers ML Reproducibility Challenge 2020
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
On Coordinate Decoding for Keypoint Estimation Tasks
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
On end-to-end 6DOF object pose estimation and robustness to object scale
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
[Re:] Training Binary Neural Networks using the Bayesian Learning Rule
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Replication Study of “Generative Causal Explanations of Black-Box classifiers”
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproducibility report for "Interpretable Complex-Valued Neural Networks for Privacy Protection"
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Reproduction: Explaining Groups of Points in Low-Dimensional Representations
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone
Fairness by Learning Orthogonal Disentangled Representations
Anonymous
- 31 Jan 2021 (modified: 02 Mar 2021)
- ML Reproducibility Challenge 2020 Blind Submission
- Readers: Everyone