Coffee Break & Poster Session 2
in
Workshop: Sets and Partitions
Abstract
Poster Session 2 Paper Titles & Authors:
Towards deep amortized clustering. Juho Lee, Yoonho Lee, Yee Whye Teh
Chirality Nets: Exploiting Structure in Human Pose Regression. Raymond Yeh, Yuan-Ting Hu, Alexander Schwing
Fair Hierarchical Clustering. Sara Ahmadian, Alessandro Epasto, Marina Knittel, Ravi Kumar, Mohammad Mahdian, Philip Pham
Limitations of Deep Learning on Point Clouds. Christian Bueno, Alan G. Hylton
How Powerful Are Randomly Initialized Pointcloud Set Functions? Aditya Sanghi, Pradeep Kumar Jayaraman
On the Possibility of Rewarding Structure Learning Agents: Mutual Information on Linguistic Random Sets. Ignacio Arroyo-Fernández, Mauricio Carrasco-Ruiz, José Anibal Arias-Aguilar
Modelling Convolution as a Finite Set of Operations Through Transformation Semigroup Theory. Andrew Hryniowski, Alexander Wong
HCA-DBSCAN: HyperCube Accelerated Density Based Spatial Clustering for Applications with Noise. Vinayak Mathur, Jinesh Mehta, Sanjay Singh
Finding densest subgraph in probabilistically evolving graphs. Sara Ahmadian, Shahrzad Haddadan
Representation Learning with Multisets. Vasco Portilheiro
PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces. Luna Zhang
Fair Correlation Clustering. Sara Ahmadian, Alessandro Epasto, Ravi Kumar, Mohammad Mahdian
Learning Maximally Predictive Prototypes in Multiple Instance Learning. Mert Yuksekgonul, Ozgur Emre Sivrikaya, Mustafa Gokce Baydogan
Deep Clustering using MMD Variational Autoencoder and Traditional Clustering Algorithms. Jhosimar Arias
Hypergraph Partitioning using Tensor Eigenvalue Decomposition. Deepak Maurya, Balaraman Ravindran, Shankar Narasimhan
Information Geometric Set Embeddings: From Sets to Distributions. Ke Sun, Frank Nielsen
Document Representations using Fine-Grained Topics. Justin Payan, Andrew McCallum