Michael Carbin

Assistant Professor, Department of Electrical Engineering and Computer Science; Lead, Programming Systems Group

Michael Carbin is an assistant professor in MIT’s Department of Electrical Engineering and Computer Science and a principal investigator at the Computer Science and Artificial Intelligence Laboratory, where he leads the Programming Systems Group. His group investigates the semantics, design, and implementation of systems that operate in the presence of uncertainty in their environment (perception), implementation (neural networks or approximate transformations), or execution (unreliable hardware). Carbin has received a Sloan Research Fellowship, a Facebook Research Award, a Google Faculty Research Award and an NSF Career Award. He earned a BS in computer science at Stanford University and an MS and PhD in electrical engineering and computer science from MIT.

Publications

Media

Top Work

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Efficient AI

Publications with the MIT-IBM Watson AI Lab

Linear Mode Connectivity and The Lottery Ticket Hypothesis
Linear Mode Connectivity and The Lottery Ticket Hypothesis
 
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
 
The Lottery Ticket Hypothesis for the Pre-trained BERT Networks
The Lottery Ticket Hypothesis for the Pre-trained BERT Networks
 
Learning Rate Rewinding for elegant neural network pruning
Learning Rate Rewinding for elegant neural network pruning
 
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks