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06/19/2023
BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models
Large language models (LLMs) have demonstrated remarkable prowess in lan...
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10/27/2021
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Adversarial patch attacks that craft the pixels in a confined region of ...
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09/26/2020
Rubik: A Hierarchical Architecture for Efficient Graph Learning
Graph convolutional network (GCN) emerges as a promising direction to le...
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02/03/2020
DWM: A Decomposable Winograd Method for Convolution Acceleration
Winograd's minimal filtering algorithm has been widely used in Convoluti...
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11/01/2019
Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers
Recent emerged quantization technique (i.e., using low bit-width fixed-p...
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05/28/2019
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks
Convolutional Neural Network (CNN) based Deep Learning (DL) has achieved...
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10/23/2017
BENCHIP: Benchmarking Intelligence Processors
The increasing attention on deep learning has tremendously spurred the d...
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06/11/2012
RepTFD: Replay Based Transient Fault Detection
The advances in IC process make future chip multiprocessors (CMPs) more ...
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07/11/2011
Efficient Deterministic Replay Using Complete Race Detection
Data races can significantly affect the executions of multi-threaded pro...
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06/03/2011