Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406

Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406

Today we’re joined by Sameer Singh, an assistant professor in the department of computer science at UC Irvine. Sameer’s work centers on large-scale and interpretable machine learning applied to information extraction and natural language processing. We caught up with Sameer right after he was awarded the best paper award at ACL 2020 for his work on Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. In our conversation, we explore CheckLists, the task-agnostic methodology for testing NLP models introduced in the paper. We also discuss how well we understand the cause of pitfalls or failure modes in deep learning models, Sameer’s thoughts on embodied AI, and his work on the now famous LIME paper, which he co-authored alongside Carlos Guestrin. The complete show notes for this episode can be found at twimlai.com/go/406.

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Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135

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Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134

Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134

In this episode of our Differential Privacy series, I'm joined by Nicolas Papernot, Google PhD Fellow in Security and graduate student in the department of computer science at Penn State University. N...

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Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133

Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133

In this episode of our Differential Privacy series, I'm joined by Zahi Karam, Director of Data Science at Bluecore, whose retail marketing platform specializes in personalized email marketing. I sat d...

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Differential Privacy Theory & Practice with Aaron Roth - TWiML Talk #132

Differential Privacy Theory & Practice with Aaron Roth - TWiML Talk #132

In the first episode of our Differential Privacy series, I'm joined by Aaron Roth, associate professor of computer science and information science at the University of Pennsylvania. Aaron is first and...

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Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131

Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131

In this episode, i’m joined by Marco Cuturi, professor of statistics at Université Paris-Saclay. Marco and I spent some time discussing his work on Optimal Transport Theory at NIPS last year. In our d...

26 Huhti 201832min

Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130

Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130

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Autonomous Aerial Guidance, Navigation and Control Systems with Christopher Lum - TWiML Talk #129

Autonomous Aerial Guidance, Navigation and Control Systems with Christopher Lum - TWiML Talk #129

Ok, In this episode, I'm joined by Christopher Lum, Research Assistant Professor in the University of Washington’s Department of Aeronautics and Astronautics. Chris also co-heads the University’s Auto...

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Infrastructure for Autonomous Vehicles with Missy Cummings - TWiML Talk #128

Infrastructure for Autonomous Vehicles with Missy Cummings - TWiML Talk #128

In this episode, I’m joined by Missy Cummings, head of Duke University’s Humans and Autonomy Lab and professor in the department of mechanical engineering. In addition to being an accomplished researc...

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