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06/01/2023
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Text-to-image diffusion models can create stunning images from natural l...
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09/18/2022
PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems
Processing-in-memory (PIM), an increasingly studied neuromorphic hardwar...
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02/10/2022
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
Neural network quantization is a promising compression technique to redu...
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07/06/2021
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference
A compact, accurate, and bitwidth-programmable in-memory computing (IMC)...
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03/05/2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Generative Adversarial Networks (GANs) have achieved huge success in gen...
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02/19/2021
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?
In deep model compression, the recent finding "Lottery Ticket Hypothesis...
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07/04/2020
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
Model quantization helps to reduce model size and latency of deep neural...
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12/21/2019
Towards Efficient Training for Neural Network Quantization
Quantization reduces computation costs of neural networks but suffers fr...
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12/20/2019
