46 citations · 84 across the 7 of their papers we have counts for
7 papers
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search
Bhavna Gopal, Arjun Sridhar, Tunhou Zhang +1
Search spaces hallmark the advancement of Neural Architecture Search (NAS). Large and complex search spaces with versatile building operators and structures provide more opportunit…
Rethinking Normalization Methods in Federated Learning
Zhixu Du, Jingwei Sun, Ang Li +4
Federated learning (FL) is a popular distributed learning framework that can reduce privacy risks by not explicitly sharing private data. In this work, we explicitly uncover extern…
MTG: A Benchmark Suite for Multilingual Text Generation
Yiran Chen, Zhenqiao Song, Xianze Wu +5
We introduce MTG, a new benchmark suite for training and evaluating multilingual text generation. It is the first-proposed multilingual multiway text generation dataset with the la…
Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation
Xuezhong Lin, Jingyu Pan, Jinming Xu +2
As technology scaling is approaching the physical limit, lithography hotspot detection has become an essential task in design for manufacturability. While the deployment of pattern…
Enhancing Scientific Papers Summarization with Citation Graph
Chenxin An, Ming Zhong, Yiran Chen +3
Previous work for text summarization in scientific domain mainly focused on the content of the input document, but seldom considering its citation network. However, scientific pape…
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination
Fuxun Yu, Zirui Xu, Tong Shen +12
Despite the superb performance of State-Of-The-Art (SOTA) DNNs, the increasing computational cost makes them very challenging to meet real-time latency and accuracy requirements. A…
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
Chuhan Min, Aosen Wang, Yiran Chen +2
Deep Convolutional Neural Networks~(CNNs) offer remarkable performance of classifications and regressions in many high-dimensional problems and have been widely utilized in real-wo…