Coffee Break & Poster Session 2

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