3 citations · 8 across the 6 of their papers we have counts for
6 papers
Probability-Dependent Gradient Decay in Large Margin Softmax
Siyuan Zhang, Linbo Xie, Ying Chen
In the past few years, Softmax has become a common component in neural network frameworks. In this paper, a gradient decay hyperparameter is introduced in Softmax to control the pr…
Automatic Quantization for Physics-Based Simulation
Jiafeng Liu, Haoyang Shi, Siyuan Zhang +3
Quantization has proven effective in high-resolution and large-scale simulations, which benefit from bit-level memory saving. However, identifying a quantization scheme that meets…
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning
Siyuan Zhang, Nan Jiang
How to select between policies and value functions produced by different training algorithms in offline reinforcement learning (RL) -- which is crucial for hyperpa-rameter tuning -…
Microphone Array Generalization for Multichannel Narrowband Deep Speech Enhancement
Siyuan Zhang, Xiaofei Li
This paper addresses the problem of microphone array generalization for deep-learning-based end-to-end multichannel speech enhancement. We aim to train a unique deep neural network…
Joint Embedding in Named Entity Linking on Sentence Level
Wei Shi, Siyuan Zhang, Zhiwei Zhang +2
Named entity linking is to map an ambiguous mention in documents to an entity in a knowledge base. The named entity linking is challenging, given the fact that there are multiple c…
Distributed-Memory Tensor Completion for Generalized Loss Functions in Python using New Sparse Tensor Kernels
Navjot Singh, Zecheng Zhang, Xiaoxiao Wu +3
Tensor computations are increasingly prevalent numerical techniques in data science, but pose unique challenges for high-performance implementation. We provide novel algorithms and…