VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation

18 June 2024

Papers citing "VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation"

5 / 5 papers shown

Title
Attention to Detail: Fine-Scale Feature Preservation-Oriented Geometric Pre-training for AI-Driven Surrogate Modeling Yu-Hsuan Chen Jing Bi Cyril Ngo Ngoc Victor Oancea Jonathan Cagan L. Kara AI4CE 31 0 0 27 Apr 2025
Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks Kevin Ferguson Andrew Gillman James Hardin Levent Burak Kara AI4CE 28 1 0 07 Oct 2024
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model Zihan Zhong Zhiqiang Tang Tong He Haoyang Fang Chun Yuan 51 41 0 31 Jan 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,457 0 11 Nov 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 2021