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Improving reproducibility in machine learning research: a report from the NeurIPS 2019 reproducibility program

, , , , , , , and . Journal of Machine Learning Research, (2021)

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Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples., , , , , , , , , and 1 other author(s). ICLR, OpenReview.net, (2020)DIBS: Diversity inducing Information Bottleneck in Model Ensembles., , , , , and . CoRR, (2020)Traffic Analytics With Low-Frame-Rate Videos., , , , and . IEEE Trans. Circuits Syst. Video Techn., 28 (4): 878-891 (2018)Recall Traces: Backtracking Models for Efficient Reinforcement Learning., , , , , , and . CoRR, (2018)Learning where to Attend with Deep Architectures for Image Tracking, , , and . CoRR, (2011)Disentangling the independently controllable factors of variation by interacting with the world., , , , , , , , and . CoRR, (2018)Multiscale sequence modeling with a learned dictionary., , , and . CoRR, (2017)HoME: a Household Multimodal Environment., , , , , , , , and . ICLR (Workshop), OpenReview.net, (2018)A RAD approach to deep mixture models., , , and . DGS@ICLR, OpenReview.net, (2019)Recall Traces: Backtracking Models for Efficient Reinforcement Learning., , , , , , , and . ICLR (Poster), OpenReview.net, (2019)