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06/12/2023
Underwater Acoustic Target Recognition based on Smoothness-inducing Regularization and Spectrogram-based Data Augmentation
Underwater acoustic target recognition is a challenging task owing to th...
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10/29/2022
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler
Pipelining between data loading and computation is a critical tensor pro...
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06/01/2022
Task-Specific Expert Pruning for Sparse Mixture-of-Experts
The sparse Mixture-of-Experts (MoE) model is powerful for large-scale pr...
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03/31/2022
LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints
Point cloud completion aims at completing geometric and topological shap...
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02/28/2022
Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
Transformers are becoming the mainstream solutions for various tasks lik...
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11/26/2021
QECV: Quantum Error Correction Verification
Quantum Error Correction (QEC) is essential for fault-tolerant quantum c...
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10/21/2021
Transformer Acceleration with Dynamic Sparse Attention
Transformers are the mainstream of NLP applications and are becoming inc...
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06/18/2021
Novelty Detection via Contrastive Learning with Negative Data Augmentation
Novelty detection is the process of determining whether a query example ...
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02/16/2021
A Survey of Machine Learning for Computer Architecture and Systems
It has been a long time that computer architecture and systems are optim...
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06/11/2020
GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs
As the emerging trend of the graph-based deep learning, Graph Neural Net...
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04/24/2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware
Neural network models are widely used in solving many challenging proble...
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11/28/2019
Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer
In this paper, we propose Poq, a runtime assertion scheme for debugging ...
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11/03/2019
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
Spiking neural network is an important family of models to emulate the b...
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01/24/2019
QGAN: Quantized Generative Adversarial Networks
The intensive computation and memory requirements of generative adversar...
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08/19/2018
Deep Multi-View Clustering via Multiple Embedding
Exploring the information among multiple views usually leads to more pro...
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09/15/2017
