Algorithms · Unsupervised Learning

TitleAuthors
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervisionTam Nguyen · Maximilian Dax · Chaithanya Kumar Mummadi · Nhung Ngo · Thi Hoai Phuong Nguyen · Zhongyu Lou · Thomas Brox
Emergence of Object Segmentation in Perturbed Generative ModelsAdam Bielski · Paolo Favaro
On Adversarial Mixup ResynthesisChristopher Beckham · Sina Honari · Alex Lamb · Vikas Verma · Farnoosh Ghadiri · R Devon Hjelm · Yoshua Bengio · Chris Pal
q-means: A quantum algorithm for unsupervised machine learningIordanis Kerenidis · Jonas Landman · Alessandro Luongo · Anupam Prakash
Scalable Gromov-Wasserstein Learning for Graph Partitioning and MatchingHongteng Xu · Dixin Luo · Lawrence Carin
Symmetry-Based Disentangled Representation Learning requires Interaction with EnvironmentsHugo Caselles-Dupré · Michael Garcia Ortiz · David Filliat
Coresets for Archetypal AnalysisSebastian Mair · Ulf Brefeld
Multivariate Triangular Quantile Maps for Novelty DetectionJingjing Wang · Sun Sun · Yaoliang Yu
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative NetworkSiqi Wang · Yijie Zeng · Xinwang Liu · En Zhu · Jianping Yin · Chuanfu Xu · Marius Kloft
High-Quality Self-Supervised Deep Image DenoisingSamuli Laine · Tero Karras · Jaakko Lehtinen · Timo Aila
Object landmark discovery through unsupervised adaptationEnrique Sanchez · Georgios Tzimiropoulos
PIDForest: Anomaly Detection via Partial IdentificationParikshit Gopalan · Vatsal Sharan · Udi Wieder
Robust Principal Component Analysis with Adaptive NeighborsRui Zhang · Hanghang Tong
Flexible Modeling of Diversity with Strongly Log-Concave DistributionsJoshua Robinson · Suvrit Sra · Stefanie Jegelka
Putting An End to End-to-End: Gradient-Isolated Learning of RepresentationsSindy Löwe · Peter O'Connor · Bastiaan Veeling
Hamiltonian Neural NetworksSamuel Greydanus · Misko Dzamba · Jason Yosinski
Using Self-Supervised Learning Can Improve Model Robustness and UncertaintyDan Hendrycks · Mantas Mazeika · Saurav Kadavath · Dawn Song
Learning about an exponential amount of conditional distributionsMohamed Belghazi · Maxime Oquab · David Lopez-Paz
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to MoleculesShengchao Liu · Mehmet F Demirel · Yingyu Liang
Outlier Detection and Robust PCA Using a Convex Measure of InnovationMostafa Rahmani · Ping Li