Label Geometry Aware Discriminator for Conditional Generative Networks. - Suman Sapkota; Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Tae-Kyun Kim 001 (CoRR, 2021)

Input Invex Neural Network. - Suman Sapkota; Binod Bhattarai (CoRR, 2021)

Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network. - Suman Sapkota; Manish Juneja; Laurynas Keleras; Pranav Kotwal; Binod Bhattarai (CoRR, 2021)

Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks. - Suman Sapkota; Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Tae-Kyun Kim 001 (ICPR, 2022)

Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics. - Suman Sapkota; Binod Bhattarai (CoRR, 2022)

Metric Transform: Exploring beyond Affine Transform for Neural Networks. - Suman Sapkota; Binod Bhattarai (Tiny Papers @ ICLR, 2023)

Neural Network Pruning for Real-Time Polyp Segmentation. - Suman Sapkota; Pranav Poudel; Sudarshan Regmi; Bibek Panthi; Binod Bhattarai (MIUA, 2023)

Importance Estimation with Random Gradient for Neural Network Pruning. - Suman Sapkota; Binod Bhattarai (CoRR, 2023)

Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks. - Suman Sapkota; Binod Bhattarai (CoRR, 2023)

Metric as Transform: Exploring beyond Affine Transform for Interpretable Neural Network. - Suman Sapkota (CoRR, 2024)

Dimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation. - Suman Sapkota; Binod Bhattarai (CPAL, 2025)