Multiobjective Optimization
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Pareto Multi-Task Learning
NeurIPS 2019
• Xi-L/ParetoMTL
• 
Recently, a novel method is proposed to find one single Pareto optimal solution with good trade-off among different tasks by casting multi-task learning as multiobjective optimization.
Pareto Multi-Task Learning
NeurIPS 2019
• Xi-L/ParetoMTL
•
Recently, a novel method is proposed to find one single Pareto optimal solution with good trade-off among different tasks by casting multi-task learning as multiobjective optimization.
Multiobjective Optimization Training of PLDA for Speaker Verification
Most current state-of-the-art text-independent speaker verification systems take probabilistic linear discriminant analysis (PLDA) as their backend classifiers.
MULTIOBJECTIVE OPTIMIZATION TEXT-INDEPENDENT SPEAKER VERIFICATION
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining
A suitable approximate multiplier is then selected for each computing element from a library of approximate multipliers in such a way that (i) one approximate multiplier serves several layers, and (ii) the overall classification error and energy consumption are minimized.