Acq: Improving Generative Data-Free Quantization Via Attention Correction
نویسندگان
چکیده
منابع مشابه
Quantization via hopping amplitudes: Schrödinger equation and free QED
Schrödinger’s equation with scalar and vector potentials is shown to describe “nothing but” hopping of a quantum particle on a lattice; any spatial variation of the hopping amplitudes acts like an external electric and/or magnetic field. The main point of the argument is the superposition principle for state vectors; Lagrangians, path integrals, or classical Hamiltonians are not (!) required. A...
متن کاملPaying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Attention plays a critical role in human visual experience. Furthermore, it has recently been demonstrated that attention can also play an important role in the context of applying artificial neural networks to a variety of tasks from fields such as computer vision and NLP. In this work we show that, by properly defining attention for convolutional neural networks, we can actually use this type...
متن کاملQuantization dimension via quantization numbers
We give a characterization of the quantization dimension of Borel probability measures on R in terms of ε-quantization numbers. Using this concept, we show that the upper rate distortion dimension is not greater than the upper quantization dimension of order one. We also prove that the upper quantization dimension of a product measure is not greater than the sum of that of its marginals. Finall...
متن کاملLossless Data Compression Via Error Correction
This plenary talk gives an overview of recent joint work with G. Caire and S. Shamai on the use of linear error correcting codes for lossless data compression, joint source/channel coding and interactive data exchange.
متن کاملAttention-Aware Generative Adversarial Networks (ATA-GANs)
In this work, we present a novel approach for training Generative Adversarial Networks (GANs). Using the attention maps produced by a TeacherNetwork we are able to improve the quality of the generated images as well as perform weakly object localization on the generated images. To this end, we generate images of HEp-2 cells captured with Indirect Imunofluoresence (IIF) and study the ability of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Social Science Research Network
سال: 2023
ISSN: ['1556-5068']
DOI: https://doi.org/10.2139/ssrn.4332133