Robust Visual Reasoning with Adriana Kovashka - #463

Robust Visual Reasoning with Adriana Kovashka - #463

Today we’re joined by Adriana Kovashka, an Assistant Professor at the University of Pittsburgh. In our conversation with Adriana, we explore her visual commonsense research, and how it intersects with her background in media studies. We discuss the idea of shortcuts, or faults in visual question answering data sets that appear in many SOTA results, as well as the concept of masking, a technique developed to assist in context prediction. Adriana then describes how these techniques fit into her broader goal of trying to understand the rhetoric of visual advertisements. Finally, Adriana shares a bit about her work on robust visual reasoning, the parallels between this research and other work happening around explainability, and the vision for her work going forward. The complete show notes for this episode can be found at twimlai.com/go/463.

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Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124

Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124

In this episode I’m joined by Jeff Dean, Google Senior Fellow and head of the company’s deep learning research team Google Brain, who I had a chance to sit down with last week at the Googleplex in Mou...

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Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123

Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123

In this episode I’m joined by Lyne Tchapmi, PhD student in the Stanford Computational Vision and Geometry Lab, to discuss her paper, “SEGCloud: Semantic Segmentation of 3D Point Clouds.” SEGCloud is a...

29 Maalis 201836min

Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - TWiML Talk #122

Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - TWiML Talk #122

In this episode, I'm joined by Google Research Scientist Ryan Poplin, who recently co-authored the paper “Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.” ...

26 Maalis 201842min

Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121

Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121

In this episode, i'm joined by Clare Gollnick, CTO of Terbium Labs, to discuss her thoughts on the “reproducibility crisis” currently haunting the scientific landscape. For a little background, a “Nat...

22 Maalis 201838min

Surveying the Connected Car Landscape with GK Senthil - TWiML Talk #120

Surveying the Connected Car Landscape with GK Senthil - TWiML Talk #120

In this episode, I’m joined by GK Senthil, director & chief product owner for innovation at Toyota Connected. GK and I spoke about some of the potential opportunities and challenges for smart cars. We...

19 Maalis 201830min

Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

In this episode, I’m joined by Ian Goodfellow, Staff Research Scientist at Google Brain and Sandy Huang, Phd Student in the EECS department at UC Berkeley, to discuss their work on the paper Adversari...

15 Maalis 201847min

Towards Abstract Robotic Understanding with Raja Chatila - TWiML Talk #118

Towards Abstract Robotic Understanding with Raja Chatila - TWiML Talk #118

In this episode, we're joined by Raja Chatila, director of Intelligent Systems and Robotics at Pierre and Marie Curie University in Paris, and executive committee chair of the IEEE global initiative o...

12 Maalis 201847min

Discovering Exoplanets w/ Deep Learning with Chris Shallue - TWiML Talk #117

Discovering Exoplanets w/ Deep Learning with Chris Shallue - TWiML Talk #117

Earlier this week, I had a chance to speak with Chris Shallue, Senior Software Engineer on the Google Brain Team, about his project and paper on “Exploring Exoplanets with Deep Learning.” This is a gr...

8 Maalis 201845min

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