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04/04/2023
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection
State-of-the-art 3D object detectors are usually trained on large-scale ...
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12/07/2022
Improved Speech Pre-Training with Supervision-Enhanced Acoustic Unit
Speech pre-training has shown great success in learning useful and gener...
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12/07/2022
Improved Self-Supervised Multilingual Speech Representation Learning Combined with Auxiliary Language Information
Multilingual end-to-end models have shown great improvement over monolin...
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07/16/2021
Predicting Daily Trading Volume via Various Hidden States
Predicting intraday trading volume plays an important role in trading al...
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11/18/2020
GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection
Production software oftentimes suffers from the issue of performance ine...
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11/13/2020
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models
With data durability, high access speed, low power efficiency and byte a...
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07/31/2020
Learning Forward Reuse Distance
Caching techniques are widely used in the era of cloud computing from ap...
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05/31/2020
DaSGD: Squeezing SGD Parallelization Performance in Distributed Training Using Delayed Averaging
The state-of-the-art deep learning algorithms rely on distributed traini...
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05/28/2019
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
Recent studies have highlighted that deep neural networks (DNNs) are vul...
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09/13/2018
