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20212024
most citedImportance Estimation with Random Gradient for Neural Network Pruning

1 citations · 1 across the 8 of their papers we have counts for

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8 papers

cs.LG2024

Metric as Transform: Exploring beyond Affine Transform for Interpretable Neural Network

Suman Sapkota

Artificial Neural Networks of varying architectures are generally paired with affine transformation at the core. However, we find dot product neurons with global influence less int…

cs.LG2023

Dimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation

Suman Sapkota, Binod Bhattarai

The recent success of multiple neural architectures like CNNs, Transformers, and MLP-Mixers motivated us to look for similarities and differences between them. We found that these…

cs.LG2023★ 1 cited

Importance Estimation with Random Gradient for Neural Network Pruning

Suman Sapkota, Binod Bhattarai

Global Neuron Importance Estimation is used to prune neural networks for efficiency reasons. To determine the global importance of each neuron or convolutional kernel, most of the…

cs.CV2023

Neural Network Pruning for Real-time Polyp Segmentation

Suman Sapkota, Pranav Poudel, Sudarshan Regmi +2

Computer-assisted treatment has emerged as a viable application of medical imaging, owing to the efficacy of deep learning models. Real-time inference speed remains a key requireme…

cs.LG2022

Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics

Suman Sapkota, Binod Bhattarai

Network Morphism based Neural Architecture Search (NAS) is one of the most efficient methods, however, knowing where and when to add new neurons or remove dis-functional ones is ge…

cs.CV2021

Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network

Suman Sapkota, Manish Juneja, Laurynas Keleras +2

In this paper we present our solution to extract albedo of branded labels for e-commerce products. To this end, we generate a large-scale photo-realistic synthetic data set for alb…

cs.LG2021

Input Invex Neural Network

Suman Sapkota, Binod Bhattarai

Connected decision boundaries are useful in several tasks like image segmentation, clustering, alpha-shape or defining a region in nD-space. However, the machine learning literatur…

cs.CV2021

Label Geometry Aware Discriminator for Conditional Generative Networks

Suman Sapkota, Bidur Khanal, Binod Bhattarai +2

Multi-domain image-to-image translation with conditional Generative Adversarial Networks (GANs) can generate highly photo realistic images with desired target classes, yet these sy…