Parth Asawa

@pgasawa

continual(ly) learning @coreauto, on leave PhD @Berkeley_EECS

Berkeley, CA

pgasawa.github.io

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Parth Asawa
@pgasawa
May 4
Today, we’re releasing Continual Learning Bench 1.0: the first, realistic benchmark for measuring how AI systems can improve in online settings. Benchmarks today assume models are stateless. Each example is independent, and once a system finishes a task, it moves on as if
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Parth Asawa
@pgasawa
Jun 30
I'll be at ICML July 7th-10th, hit me up if you want to chat about continual learning, AI policy, etc! I’m giving an invited talk on evaluating continual learning at the CATS workshop on July 10th at 8AM KST and @aczhu1326 and I are presenting a poster on Advisor Models on July
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Parth Asawa
@pgasawa
Jun 25
Super fun chatting with @vincentsunnchen about all things continual learning including evaluation, parametric methods, open science, and more!
vincent sunn chen
@vincentsunnchen
Jun 25
capability != learning new benchtalks with @pgasawa on continual learning, where we discuss teaching models to learn from experience, measuring learning ability, the bet on parametric models, and more 01:06 What is continual learning? 04:10 Why capability and learning are
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Parth Asawa
@pgasawa
Jun 25
Always fun to chat with @andykonwinski, see 41:33 for some of my brief takes on evaluating continual learning and academia / open science.
Laude Institute
@LaudeInstitute
Jun 25
At @CAISconf last month, @andykonwinski sat down with researchers on the conference floor -- @matei_zaharia @istoica05 @lateinteraction @dawnsongtweets @gneubig @pgasawa @JonSaadFalcon @heathercmiller @ryanmart3n @alexgshaw @profjoeyg @swyx and Ioannis Ioannidis -- to talk
Parth Asawa
@pgasawa
Jun 15
The AI community seems to increasingly be heading towards a polarized world when discussing safety and consolidated power. I see this discourse as a false dichotomy, so @profjoeyg and I wrote an essay on how we need to change the conversation (link below).
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