Asia
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Paishun Ting, Shiyu Chang, Lisa Amini
Zeroth-order (gradient-free) optimization is increasingly embraced for solving machine learning problems where explicit expressions of the gradients are difficult or infeasible to obtain.
MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
Built upon existing 3D scanning data, the resulting multi-modal 3D dataset encompasses 1.4M
Cross-Modal Learning with Adversarial Samples
CHAO LI, Shangqian Gao, Cheng Deng, De Xie, Wei Liu
A novel cross-modal adversarial sample learning algorithm is presented.
Learning elementary structures for 3D shape generation and matching
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir Kim, Bryan Russell, Mathieu Aubry
Weproposetorepresent shapesasthedeformation andcombination oflearnable elementary 3D structures, which are primitives resulting from training over a collection of shapes.
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
Bao Wang, Zuoqiang Shi, Stanley Osher
Neural Information Processing Systems http://nips.cc/
