MLSP-P15.8

LiteEngine: Lightweight Low-precision Inference Engine for Efficient DNN Inference

Zhizhuo Liu, Min Liu, Yujie Zhang, Chaonong Xu, China University of Petroleum-Beijing, China
Session:
MLSP-P15: Quantum Machine Learning Algorithms and Applications Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 10
Presentation Time:
Tue, 5 May, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session MLSP-P15
MLSP-P15.1: MUCO: MULTI-VIEW PATTERN REPRESENTATION LEARNING FOR SUBGRAPH COUNTING
dongyang zhang, Institute of Information EngineeringCAS, China; Mingzhe Xing, Yinliang Yue, Zhongguancun Laboratory Beijing, China, China; Peng Fu, Weiping Wang, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China, China
MLSP-P15.2: A WAVELET-BASED GRAPH DYNAMICAL CONFIDENCE INFORMATION BOTTLENECK NETWORK FOR CLASS-IMBALANCED NODE CLASSIFICATION
Longqing Du, Zhijie Luo, YaoYao Shi, Guangquan Lu, Shichao Zhang, wenzhen Zhang, Guangxi Normal University, China
MLSP-P15.3: FAIRCG: MITIGATE COUNTERFACTUAL AND GROUP BIAS IN MACHINE LEARNING
Muxiang Zhang, Lingfeng Zhang, Min Zhang, East China Normal University, China
MLSP-P15.4: SCALE-AWARE SELF-SUPERVISED LEARNING FOR SEGMENTATION OF SMALL AND SPARSE STRUCTURES
Jorge Quesada, Ghassan AlRegib, Georgia Institute of Technology, United States of America
MLSP-P15.5: SCATTERFUSION: A HIERARCHICAL SCATTERING TRANSFORM FRAMEWORK FOR ENHANCED TIME SERIES FORECASTING
Wei Li, Shanghai University, China
MLSP-P15.6: GLUE: Gradient-free Learning to Unify Experts
Jong-Ik Park, Shreyas Chaudhari, Srinivasa Pranav, Carlee Joe-Wong, José M. F. Moura, Carnegie Mellon University, United States of America
MLSP-P15.7: EMPEROR: EFFICIENT MOMENT-PRESERVING REPRESENTATION OF DISTRIBUTIONS
Xinran Liu, Shansita Sharma, Soheil Kolouri, Vanderbilt University, United States of America
MLSP-P15.8: LiteEngine: Lightweight Low-precision Inference Engine for Efficient DNN Inference
Zhizhuo Liu, Min Liu, Yujie Zhang, Chaonong Xu, China University of Petroleum-Beijing, China
Contacts