Papers
572 papers found
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition
Qilong Wang, Peihua Li, Wangmeng Zuo et al.
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification
Ha Quang Minh, Marco San Biagio, Loris Bazzani et al.
FANNG: Fast Approximate Nearest Neighbour Graphs
Ben Harwood, Tom Drummond
Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA
Jialiang Zhang, Soroosh Khoram, Jing Li
Fast Monte-Carlo Localization on Aerial Vehicles Using Approximate Continuous Belief Representations
Aditya Dhawale, Kumar Shaurya Shankar, Nathan Michael
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks
Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno et al.
Continual Learning With Extended Kronecker-Factored Approximate Curvature
Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo et al.
No Shadow Left Behind: Removing Objects and Their Shadows Using Approximate Lighting and Geometry
Edward Zhang, Ricardo Martin-Brualla, Janne Kontkanen et al.
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature
Zedong Tang, Fenlong Jiang, Maoguo Gong et al.
Learning ABCs: Approximate Bijective Correspondence for Isolating Factors of Variation With Weak Supervision
Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam et al.
Learning Structured Gaussians To Approximate Deep Ensembles
Ivor J. A. Simpson, Sara Vicente, Neill D. F. Campbell
The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference
R. Kenny Jones, Aalia Habib, Rana Hanocka et al.
PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions
R. Kenny Jones, Homer Walke, Daniel Ritchie
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
Lin Tian, Hastings Greer, François-Xavier Vialard et al.
Approximate Attributions for Off-the-Shelf Siamese Transformers
Lucas Moeller, Dmitry Nikolaev, Sebastian Padó
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
Yasar U Alcalar, Mehmet Akcakaya
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration
Lin Tian, Thomas H Greer, Raul San Jose Estepar et al.
Neural Response Generation via GAN with an Approximate Embedding Layer
Zhen Xu, Bingquan Liu, Baoxun Wang et al.
Data Selection with Feature Decay Algorithms Using an Approximated Target Side
Alberto Poncelas, Gideon Maillette de Buy Wenniger, Andy Way
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning
Xiang Yu, Ngoc Thang Vu, Jonas Kuhn
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network
Xinyu Wang, Yong Jiang, Nguyen Bach et al.
“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models
Zihan Wang, Chengyu Dong, Jingbo Shang
Value-aware Approximate Attention
Ankit Gupta, Jonathan Berant