The UCLA Samueli School of Engineering welcomes 16 new professors in the 2018-2019 school year. Of those 16 new professors, four of them are Computer Science faculty members. Their profiles are below. Quanquan Gu Assistant Professor, Computer Science Gu’s...
Computer Science Ph.D. students Abdullah-Al-Zubaer Imran and Ali Hatamizadeh won the Nvidia Best Paper Award at the Deep Learning in Medical Image Analysis (DLMIA) workshop of the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference held on...
Todd Millstein and his team have won first place for their tool LoopInvGen in the Invariant Synthesis track of the 5th Syntax Guided Synthesis Competition. The competition was part of the FLoC Olympic Games held at the 2018 Federated Logic Conference in Oxford, UK....
Computer Science Professor Jason Cong and coauthors Zhe Chen, Andrew Howe, and Hugh T. Blair has received the best paper award at the 2018 ACM/IEEE International Symposium on Low Power Electronics and Design. Their paper, CLINK: Compact LSTM Inference Kernel for...
This year, computer science professor Miryung Kim was awarded the Robert M. Stevenson Faculty-in-Residence (FIR) Award, created by UCLA Residential Life in order to recognize current FIRs who provide outstanding contributions to the residence hall communities. The...
ABSTRACT: The success of deep learning is due, to a large extent, to the remarkable effectiveness of gradient-based optimization methods applied to large neural networks. [...]
ABSTRACT: Knowledge distillation introduced in the deep learning context is a method to transfer knowledge from one architecture to another. In particular, when the architectures [...]
ABSTRACT: Recent investigations into deep neural networks that are infinitely wide have given rise to intriguing connections with kernel methods. Specifically, it was found that [...]
ABSTRACT: As machine learning is increasingly deployed, there is a need for reliable and robust methods that go beyond simple test accuracy. In this talk, [...]
ABSTRACT: As Machine Learning systems are increasingly becoming part of user-facing applications, their reliability and robustness are key to building and maintaining trust with users. [...]