Fetching the paper…
Reading the bibliography…
Compression of a neural network can help in speeding up both the training and the inference of the network.
Matrix computations and signal processing
Van Loan, C · 1987
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L · 2009
Earlier work this paper cites.
Large scale distributed deep networks
Dean, J., Corrado, G. S., Monga, R., Chen, K., Devin, M., Le, Q. V., Mao, M. Z., Ranzato, M., Senior, A., Tucker, P., et al · 2012
Earlier work this paper cites.
Extended kalman filter frequency tracker for nonstationary harmonic signals
Hajimolahoseini, H., Taban, M. R., and Soltanian-Zadeh, H · 2012
Earlier work this paper cites.
Deep residual learning for image recognition, 2015
He, K., Zhang, X., Ren, S., and Sun, J · 2015
Earlier work this paper cites.
Distilling the knowledge in a neural network
Hinton, G., Vinyals, O., and Dean, J · 2015
Earlier work this paper cites.
Robust estimation and tracking of pitch period using an efficient bayesian filter
Hajimolahoseini, H., Amirfattahi, R., Gazor, S., and Soltanian-Zadeh, H · 2016
Earlier work this paper cites.
A survey of model compression and acceleration for deep neural networks
Cheng, Y., Wang, D., Zhou, P., and Zhang, T · 2017
Earlier work this paper cites.
Exploring the regularity of sparse structure in convolutional neural networks
Mao, H., Han, S., Pool, J., Li, W., Liu, X., Wang, Y., and Dally, W. J · 2017
Cited alongside, same era.
Astrid, M., Lee, S.-I., and Seo, B.-S · 2018
Cited alongside, same era.
Ecg delineation for qt interval analysis using an unsupervised learning method
Hajimolahoseini, H., Hashemi, J., and Redfearn, D · 2018
Cited alongside, same era.
Iterative low-rank approximation for CNN compression
Kholiavchenko, M · 2018
Cited alongside, same era.
Thinet: pruning cnn filters for a thinner net
Luo, J.-H., Zhang, H., Zhou, H.-Y., Xie, C.-W., Wu, J., and Lin, W · 2018
Cited alongside, same era.
Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution
Chen, Y., Fan, H., Xu, B., Yan, Z., Kalantidis, Y., Rohrbach, M., Yan, S., and Feng, J · 2019
Later among the works it cites.
A deep learning approach for diagnosing long qt syndrome without measuring qt interval
Hajimolahoseini, H., Redfearn, D., and Krahn, A · 2019
Later among the works it cites.
Fully quantized transformer for machine translation
Prato, G., Charlaix, E., and Rezagholizadeh, M · 2019
Later among the works it cites.
Compressing pre-trained language models using progressive low rank decomposition
Hajimolahoseini, H., Rezagholizadeh, M., Partovinia, V., Tahaei, M., Awad, O. M., and Liu, Y · 2021
Later among the works it cites.
A short study on compressing decoder-based language models
Li, T., Mesbahi, Y. E., Kobyzev, I., Rashid, A., Mahmud, A., Anchuri, N., Hajimolahoseini, H., Liu, Y., and Rezagholizadeh, M · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A systematic dnn weight pruning framework using alternating direction method of multipliers
Zhang, T., Ye, S., Zhang, K., Tang, J., Wen, W., Fardad, M., and Wang, Y · 2018
Cited alongside, same era.
Discrimination-aware channel pruning for deep neural networks
Zhuang, Z., Tan, M., Zhuang, B., Liu, J., Guo, Y., Wu, Q., Huang, J., and Zhu, J · 2018
Cited alongside, same era.
A simplified fully quantized transformer for end-to-end speech recognition
Bie, A., Venkitesh, B., Monteiro, J., Haidar, M., Rezagholizadeh, M., et al · 2019
Cited alongside, same era.
On the best rank-1 and rank-(r 1, r 2,…, rn) approximation of higher-order tensors
De Lathauwer, L., De Moor, B., and Vandewalle, J
Cited in the paper.
A multilinear singular value decomposition
De Lathauwer, L., De Moor, B., and Vandewalle, J
Cited in the paper.
Inflection point analysis: A machine learning approach for extraction of iegm active intervals during atrial fibrillation
Hajimolahoseini, H., Hashemi, J., Gazor, S., and Redfearn, D
Cited in the paper.
Strategies for applying low rank decomposition to transformer-based models
Hajimolahoseini, H., Ahmed, W., Rezagholizadeh, M., Partovinia, V., and Liu, Y
Cited in the paper.
Later among the works it cites.
Mate-kd: Masked adversarial text, a companion to knowledge distillation
Rashid, A., Lioutas, V., and Rezagholizadeh, M · 2021
Later among the works it cites.
Improving resnet-9 generalization trained on small datasets, 2023
Awad, O. M., Hajimolahoseini, H., Lim, M., Gosal, G., Ahmed, W., Liu, Y., and Deng, G · 2023
Closest in time.