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Day 1 of #ICLR2023. Kigali is Buzzing with Artificial Intelligence, Machine Learning and Data Science. This is a historic moment as one of the biggest ML conferences is held on the African continent for the first time. It's even better as there is a great local presense. 1/n
Our first #ICLR2023 keynote is Sofia Crespo (@soficrespo91) - "Her work brings into question the potential of AI in artistic practice and its ability to reshape our understandings of creativity."
sofiacrespo.com 2/n
sofiacrespo.com 2/n
I did mention local presence. We have many attendees, speakers at #ICLR2023 that represent @DeepIndaba @MasakhaneNLP @dsa_org @black_in_ai and beyond. Let's all learn from each other and keep building the momentum.
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I am excited to announce that I have successfully defended my PhD and have published my PhD thesis on “Learning with Differentiable Algorithms”. 🎉
arxiv.org/abs/2209.00616
In the thesis, I explore how we can make discrete structures like algorithms differentiable. [1/13]
arxiv.org/abs/2209.00616
In the thesis, I explore how we can make discrete structures like algorithms differentiable. [1/13]
By making algorithms differentiable, we can integrate them end-to-end into neural network machine learning architectures. For example, we can continuously relax sorting (github.com/Felix-Petersen…) for learning to rank. [2/13]
[Thread on reviewing for #MachineLearning confs, after receiving the reminder from @iclr_conf (#ICLR)]
Posting response to @iclr_conf's request for reviewing here in the hope (again) that we can change the reviewing structure of ML conferences to promote better science.
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Posting response to @iclr_conf's request for reviewing here in the hope (again) that we can change the reviewing structure of ML conferences to promote better science.
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Whether it is @NeurIPSConf (#neurips), @icmlconf (#icml), @iclr_conf (#ICLR), @RealAAAI (#aaai) or any other crowded ML conf, the reviewing structure that involves a fixed review window, multiple assigned papers, unlimited supplemental material, etc., promotes the following:
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a) Reviews are handed off to inexperienced reviewers, directly or indirectly, due to the time pressure involved.
b) It leaves reviewers with little time to digest the technical details, leading them to potentially miss subtle errors or undervalue the merits of the work.
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b) It leaves reviewers with little time to digest the technical details, leading them to potentially miss subtle errors or undervalue the merits of the work.
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