Today we kick off our coverage of the 2023 CVPR conference joined by Fatih Porikli, a Senior Director of Technology at Qualcomm. In our conversation with Fatih, we covered quite a bit of ground, touching on a total of 12 papers/demos, focusing on topics like data augmentation and optimized architectures for computer vision. We explore advances in optical flow estimation networks, cross-model, and stage knowledge distillation for efficient 3D object detection, and zero-shot learning via language models for fine-grained labeling. We also discuss generative AI advancements and computer vision optimization for running large models on edge devices. Finally, we discuss objective functions, architecture design choices for neural networks, and efficiency and accuracy improvements in AI models via the techniques introduced in the papers.
Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546
Optimization, Machine Learning and Intelligent Experimentation with Michael McCourt - #545
Jupyter and the Evolution of ML Tooling with Brian Granger - #544
Creating a Data-Driven Culture at ADP with Jack Berkowitz - #543
re:Invent Roundup 2021 with Bratin Saha - #542
Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541
Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540
Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh - #539
Models for Human-Robot Collaboration with Julie Shah - #538
Four Key Tools for Robust Enterprise NLP with Yunyao Li - #537
Machine Learning at GSK with Kim Branson - #536
The Benefit of Bottlenecks in Evolving Artificial Intelligence with David Ha - #535
Facebook Abandons Facial Recognition. Should Everyone Else Follow Suit? With Luke Stark - #534
Building Blocks of Machine Learning at LEGO with Francesc Joan Riera - #533
Exploring the FastAI Tooling Ecosystem with Hamel Husain - #532
Multi-task Learning for Melanoma Detection with Julianna Ianni - #531
House Hunters: Machine Learning at Redfin with Akshat Kaul - #530
Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529
Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528
Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527
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