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Highlight of #NeurIPS2018 was feeling of belonging for first time in years..last I felt that way was 2012. Countless women and men said that I spoke on their behalf when they could not. Hope this is the return of civility to our #MachineLearning conferences
To elaborate, #DeepLearning has certainly been impactful, but along with it came few powerful voices that silenced everyone else. As a graphical model researcher in 2013 i was told by a powerful researcher that it is revenge of #deepnets now. Hope this pettiness ends
The endless debates of mine vs yours (e.g symbolic vs deep learning) is not productive in any way. if u notice, the diversity in those debate is non existent. Only powerful men can openly debate on Twitter. Everyone else feels threatened and silenced. @InclusionInML
And let us make our review process healthy. If you want to improve @InclusionInML pledge to fight against our broken review system. If your fellow reviewer is flawed and lazy, complain to AC and PC. Don't give up those important fights
And let us stop leaderboard chasing of flawed benchmarks. Don't blindly chase a trend just because it came from a famous lab. Be critical and let us start doing so openly. Be honest. Carry out extensive baseline experiments. Publish negative results
More importantly, go back to fundamentals. Low hanging fruits of #DeepLearning are getting exhausted. You will need creativity + hard work. You will need techniques outside #DeepLearning to make a unique impact. Invest in that learning and focus on long term.
Thank you for your voice @AnimaAnandkumar! You are amazing.
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