Papers
Quantum Embedding of Knowledge for Reasoning
Dinesh Garg, Shajith Ikbal, Santosh K. Srivastava et al.
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
Yihe Dong, Samuel Hopkins, Jerry Li
Quantum Wasserstein Generative Adversarial Networks
Shouvanik Chakrabarti, Huang Yiming, Tongyang Li et al.
Quaternion Knowledge Graph Embeddings
SHUAI ZHANG, Yi Tay, Lina Yao et al.
R2D2: Reliable and Repeatable Detector and Descriptor
Jerome Revaud, Cesar De Souza, Martin Humenberger et al.
Random deep neural networks are biased towards simple functions
Giacomo De Palma, Bobak Kiani, Seth Lloyd
Random Path Selection for Continual Learning
Jathushan Rajasegaran, Munawar Hayat, Salman H Khan et al.
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves
Stefan Meintrup, Alexander Munteanu, Dennis Rohde
Random Projections with Asymmetric Quantization
Xiaoyun Li, Ping Li
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
Arindam Banerjee, Qilong Gu, Vidyashankar Sivakumar et al.
Random Tessellation Forests
Shufei Ge, Shijia Wang, Yee Whye Teh et al.
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala, Andre Wibisono
Rates of Convergence for Large-scale Nearest Neighbor Classification
Xingye Qiao, Jiexin Duan, Guang Cheng
Real-Time Reinforcement Learning
Simon Ramstedt, Chris Pal
Reconciling meta-learning and continual learning with online mixtures of tasks
Ghassen Jerfel, Erin Grant, Tom Griffiths et al.
Reconciling λ-Returns with Experience Replay
Brett Daley, Christopher Amato
Recovering Bandits
Ciara Pike-Burke, Steffen Grunewalder
Recurrent Kernel Networks
Dexiong Chen, Laurent Jacob, Julien Mairal
Recurrent Registration Neural Networks for Deformable Image Registration
Robin Sandkühler, Simon Andermatt, Grzegorz Bauman et al.
Recurrent Space-time Graph Neural Networks
Andrei Nicolicioiu, Iulia Duta, Marius Leordeanu
Reducing Noise in GAN Training with Variance Reduced Extragradient
Tatjana Chavdarova, Gauthier Gidel, François Fleuret et al.
Reducing the variance in online optimization by transporting past gradients
Sébastien Arnold, Pierre-Antoine Manzagol, Reza Babanezhad Harikandeh et al.
Re-examination of the Role of Latent Variables in Sequence Modeling
Guokun Lai, Zihang Dai, Yiming Yang et al.
Reflection Separation using a Pair of Unpolarized and Polarized Images
Youwei Lyu, Zhaopeng Cui, Si Li et al.
Region Mutual Information Loss for Semantic Segmentation
Shuai Zhao, Yang Wang, Zheng Yang et al.