Papers
UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree
Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging
Chaoning Zhang, Philipp Benz, Adil Karjauv et al.
Ultrahyperbolic Representation Learning
Marc Law, Jos Stam
Ultra-Low Precision 4-bit Training of Deep Neural Networks
Xiao Sun, Naigang Wang, Chia-Yu Chen et al.
Unbalanced Sobolev Descent
Youssef Mroueh, Mattia Rigotti
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
Ping Hu, Stan Sclaroff, Kate Saenko
Uncertainty-aware Self-training for Few-shot Text Classification
Subhabrata Mukherjee, Ahmed Awadallah
Uncertainty Aware Semi-Supervised Learning on Graph Data
Xujiang Zhao, Feng Chen, Shu Hu et al.
Uncertainty Quantification for Inferring Hawkes Networks
Haoyun Wang, Liyan Xie, Alex Cuozzo et al.
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
Bastian Rieck, Tristan Yates, Christian Bock et al.
Understanding and Exploring the Network with Stochastic Architectures
Zhijie Deng, Yinpeng Dong, Shifeng Zhang et al.
Understanding and Improving Fast Adversarial Training
Maksym Andriushchenko, Nicolas Flammarion
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
Robin Schirrmeister, Yuxuan Zhou, Tonio Ball et al.
Understanding Deep Architecture with Reasoning Layer
Xinshi Chen, Yufei Zhang, Christoph Reisinger et al.
Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition
Ben Adlam, Jeffrey Pennington
Understanding Global Feature Contributions With Additive Importance Measures
Ian Covert, Scott M Lundberg, Su-In Lee
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Xiangyi Chen, Steven Z. Wu, Mingyi Hong
Understanding spiking networks through convex optimization
Allan Mancoo, Sander Keemink, Christian K. Machens
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu et al.
Unfolding recurrence by Green’s functions for optimized reservoir computing
Sandra Nestler, Christian Keup, David Dahmen et al.
Unfolding the Alternating Optimization for Blind Super Resolution
zhengxiong luo, Yan Huang, Shang Li et al.
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks
Jinseok Kim, Kyungsu Kim, Jae-Joon Kim
Universal Domain Adaptation through Self Supervision
Kuniaki Saito, Donghyun Kim, Stan Sclaroff et al.
Universal Function Approximation on Graphs
Rickard Brüel Gabrielsson