Gabriel Bender
Publications by Year
Research Areas
Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Distributed systems and fault tolerance, Machine Learning and Data Classification, Adversarial Robustness in Machine Learning
Most-Cited Works
- Understanding and Simplifying One-Shot Architecture Search(2018)
- → CondConv: Conditionally Parameterized Convolutions for Efficient\n Inference(2019)283 cited
- → BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models(2020)227 cited
- → Neural Predictor for Neural Architecture Search(2020)151 cited
- → iReduct(2011)147 cited
- → MobileDets: Searching for Object Detection Architectures for Mobile Accelerators(2021)141 cited
- → Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS(2020)112 cited
- → The Homeostasis Protocol(2015)58 cited