" Lossless" compression of deep neural networks: a high-dimensional neural tangent kernel approach

Y Du, D Xie, S Pu, R Qiu, Z Liao - Advances in Neural …, 2022 - proceedings.neurips.cc
… , 54, 19] showing that for wide and deep NN models, very efficient sparse sub-networks can
be found that almost match the performance of the original dense nets with little or even no …

[HTML][HTML] Optimizing Memory Access Efficiency in CUDA Kernel via Data Layout Technique

N Seifi, A Al-Mamun - Journal of Computer and Communications, 2024 - scirp.org
… Despite these advancements, efficiently programming GPUs remains a daunting challenge,
… We specifically illustrate the importance of efficient matrix multiplication in these areas, …

Rethinking depthwise separable convolutions: How intra-kernel correlations lead to improved mobilenets

D Haase, M Amthor - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
… They are motivated by quantitative analyses of kernel … -kernel correlations, while our
BSConv formulation is based on intrakernel correlations and thus allows for a more efficient sep…

How land transfer affects agricultural land use efficiency: Evidence from China's agricultural sector

R Fei, Z Lin, J Chunga - Land Use Policy, 2021 - Elsevier
matching, caliper matching and kernel matching are used. In order to ensure the adequacy
of the matching … The results of overlap testing and matching quality testing are reported as …

Efficient dataset distillation using random feature approximation

N Loo, R Hasani, A Amini… - Advances in Neural …, 2022 - proceedings.neurips.cc
… We first replace the NTK used in the kernel regression of KIP with an NNGP kernel. While …
In the first setting, at test time, we used an NTK kernel instead of the NNGP kernel. In the …

Dataset condensation with distribution matching

B Zhao, H Bilen - Proceedings of the IEEE/CVF Winter …, 2023 - openaccess.thecvf.com
… condensed images by matching feature distributions of the … Thanks to its efficiency, we apply
our method to more … , and each block involves a 128-kernel convolution layer, instance nor…

Learning and aggregating deep local descriptors for instance-level recognition

G Tolias, T Jenicek, O Chum - … Conference, Glasgow, UK, August 23–28 …, 2020 - Springer
… We propose an efficient method to learn deep local … estimation with classical efficient match
kernel methods. The … image search approach based on match kernels. Compared to existing …

Correspondence networks with adaptive neighbourhood consensus

S Li, K Han, TW Costain… - Proceedings of the …, 2020 - openaccess.thecvf.com
… We also introduce a simple and efficient multi-scale self-similarity module … kernel, which
forms the building block for the adaptive neighbourhood consensus module for robust matching

Detailed analysis on sterculia foetida kernel oil as renewable fuel in compression ignition engine

N Bhanu Teja, Y Devarajan, R Mishra… - Biomass Conversion …, 2021 - Springer
… The Brake thermal efficiency of B10 was matching with diesel … The thermal efficiency of
biodiesel was lesser than standard … This study employ the oil derived from Sterculia foetida kernel

Agamotto: Accelerating kernel driver fuzzing with lightweight virtual machine checkpoints

D Song, F Hetzelt, J Kim, BB Kang, JP Seifert… - 29th USENIX Security …, 2020 - usenix.org
… A , which has the label that matches the longest prefix, {a1,a2}. Since the checkpoint tree
is a prefix tree, this longest prefix match can be performed efficiently without scanning all the …