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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.
There may be a nice ambitious project trying to tackle this (peer community, citable preprints, open, inclusive, ...). Would you have 10 minutes spare to chat about it? Your feedback would be precious.
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