About DECILE and the Workshop
Today, Deep Learning is nearing human performance in a wide range of domains including computer vision and image understanding, natural language processing, speech recognition, machine translation, and many others. As a result, increasingly, deep learning is being used in industry to solve hard business challenges. But one of the biggest challenges faced in mainstream applications is efficiency and robustness. With the growth of computers and mobile devices, there is substantial growth in data. Machine learning tasks often involve using larger neural networks to achieve good accuracy which requires high-end GPUs, massive datasets which are expensive in terms of both time and cost (both compute cost and labeling cost). The mission statement of DECILE is to build tools and platforms for enabling Data Efficient Machine Learning. We develop tools which aim at, a) Reducing the labeling effort required to train deep models, b) Reduce the compute requirements (time, cost, and energy) of training deep models, and c) Make deep learning robust and fair.
Workshop Key Takeaways
Who should attend this Workshop?
This workshop invites participation from individuals working in the industry, academia, and students with experience and/or interest in Machine Learning, Deep Learning, and its efficient application for solving problems quickly. If you work in industry and want to learn how to construct efficient, resilient, and computationally efficient models with less training time and less expense, this is the workshop for you. This session is for academics who wish to learn how to design efficient, resilient, and computationally efficient models with limited GPU resources.
1 Hour 30 mins- Introduction to
30 Mins-Application of CORDS:AutoML
By: Akriti and Abhishek
30 Mins-Targeted Learning for Self-driving cars
By: Suraj Kothawade
30 Mins - Active Learning to Reduce Labelling Costs
By: Nathan Beck
30 Mins - Targeted learning for Medical Imaging
By: Ayush Maheshwari
30 mins- Application of SPEAR
By: Vineeth Dorna
30 mins- Vision and Future of DECILE
1 Hour- Discussion on Project Ideas and Hackathon