Summary of Lotus: Improving Transformer Efficiency with Sparsity Pruning and Data Lottery Tickets, by Ojasw Upadhyay
LOTUS: Improving Transformer Efficiency with Sparsity Pruning and Data Lottery Ticketsby Ojasw UpadhyayFirst submitted to…
LOTUS: Improving Transformer Efficiency with Sparsity Pruning and Data Lottery Ticketsby Ojasw UpadhyayFirst submitted to…
Harmonic Machine Learning Models are Robustby Nicholas S. Kersting, Yi Li, Aman Mohanty, Oyindamola Obisesan,…
ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learningby Peter Myung-Won Pak, Francis…
Vision Transformer-based Adversarial Domain Adaptationby Yahan Li, Yuan WuFirst submitted to arxiv on: 24 Apr…
Efficient Transformer Encoders for Mask2Former-style modelsby Manyi Yao, Abhishek Aich, Yumin Suh, Amit Roy-Chowdhury, Christian…
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Predictionby Paulo Henrique dos…
Supervised Contrastive Vision Transformer for Breast Histopathological Image Classificationby Mohammad Shiri, Monalika Padma Reddy, Jiangwen…
Single-image driven 3d viewpoint training data augmentation for effective wine label recognitionby Yueh-Cheng Huang, Hsin-Yi…
Instance-Aware Group Quantization for Vision Transformersby Jaehyeon Moon, Dohyung Kim, Junyong Cheon, Bumsub HamFirst submitted…
ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimationby Suraj Patni, Aradhye Agarwal, Chetan…