Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Today we kick off our annual AI Rewind series joined by friend of the show Pablo Samuel Castro, a Staff Research Software Developer at Google Brain. Pablo joined us earlier this year for a discussion about Music & AI, and his Geometric Perspective on Reinforcement Learning, as well our RL office hours during the inaugural TWIMLfest. In today’s conversation, we explore some of the latest and greatest RL advancements coming out of the major conferences this year, broken down into a few major themes, Metrics/Representations, Understanding and Evaluating Deep Reinforcement Learning, and RL in the Real World. This was a very fun conversation, and we encourage you to check out all the great papers and other resources available on the show notes page.

Avsnitt(779)

On George Floyd, Empathy, and the Road Ahead

On George Floyd, Empathy, and the Road Ahead

Visit twimlai.com/blacklivesmatter for resources to support organizations pushing for social equity like Black Lives Matter, and groups offering relief for those jailed for exercising their rights to ...

2 Juni 20206min

Engineering a Less Artificial Intelligence with Andreas Tolias - #379

Engineering a Less Artificial Intelligence with Andreas Tolias - #379

Today we’re joined by Andreas Tolias, Professor of Neuroscience at Baylor College of Medicine. We caught up with Andreas to discuss his recent perspective piece, “Engineering a Less Artificial Intell...

28 Maj 202046min

Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378

Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378

Today we’re joined by Joseph Gonzalez, Assistant Professor in the EECS department at UC Berkeley. In our conversation, we explore Joseph’s paper “Train Large, Then Compress: Rethinking Model Size fo...

25 Maj 202052min

The Physics of Data with Alpha Lee - #377

The Physics of Data with Alpha Lee - #377

Today we’re joined by Alpha Lee, Winton Advanced Fellow in the Department of Physics at the University of Cambridge. Our conversation centers around Alpha’s research which can be broken down into thre...

21 Maj 202033min

Is Linguistics Missing from NLP Research? w/ Emily M. Bender - #376 🦜

Is Linguistics Missing from NLP Research? w/ Emily M. Bender - #376 🦜

Today we’re joined by Emily M. Bender, Professor of Linguistics at the University of Washington. Our discussion covers a lot of ground, but centers on the question, "Is Linguistics Missing from NLP ...

18 Maj 202052min

Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks with Nataniel Ruiz - #375

Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks with Nataniel Ruiz - #375

Today we’re joined by Nataniel Ruiz, a PhD Student at Boston University. We caught up with Nataniel to discuss his paper “Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translat...

14 Maj 202042min

Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374

Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374

Today we’re joined by Sherri Rose, Associate Professor at Harvard Medical School. We cover a lot of ground in our conversation, including the intersection of her research with the current COVID-19 pan...

11 Maj 202044min

The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373

The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373

Today we’re joined by Lukas Biewald, founder and CEO of Weights & Biases, to discuss their new tool Artifacts, an end to end pipeline tracker. In our conversation, we explore Artifacts’ place in the b...

7 Maj 202054min

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