Poster Session
in
Workshop: Sets and Partitions

Coffee Break & Poster Session 1

Yan Zhang ⋅ Jonathon Hare ⋅ Adam Prugel-Bennett ⋅ Po Leung ⋅ Patrick Flaherty ⋅ Pitchaya Wiratchotisatian ⋅ Alessandro Epasto ⋅ Silvio Lattanzi ⋅ Sergei Vassilvitskii ⋅ Morteza Zadimoghaddam ⋅ Theja Tulabandhula ⋅ Fabian Fuchs ⋅ Adam Kosiorek ⋅ Ingmar Posner ⋅ William Hang ⋅ Anna Goldie ⋅ Sujith Ravi ⋅ Azalia Mirhoseini ⋅ Yuwen Xiong ⋅ Mengye Ren ⋅ Renjie Liao ⋅ Raquel Urtasun ⋅ Haici Zhang ⋅ Michele Borassi ⋅ Shengda Luo ⋅ Andrew Trapp ⋅ Geoffroy Dubourg-Felonneau ⋅ Yasmeen Kussad ⋅ Christopher Bender ⋅ Manzil Zaheer ⋅ Junier Oliva ⋅ Michał Stypułkowski ⋅ Maciej Zieba ⋅ Austin Dill ⋅ Chun-Liang Li ⋅ Songwei Ge ⋅ Eunsu Kang ⋅ Oiwi Parker Jones ⋅ Kelvin Ka Wing Wong ⋅ Joshua Payne ⋅ Yang Li ⋅ Azade Nazi ⋅ Erkut Erdem ⋅ Aykut Erdem ⋅ Kevin O'Connor ⋅ Juan J Garcia ⋅ Maciej Zamorski ⋅ Jan Chorowski ⋅ Deeksha Sinha ⋅ Harry Clifford ⋅ John W Cassidy

2019 Poster Session
in
Workshop: Sets and Partitions

Abstract

Poster Session 1 Paper Titles & Authors:

Deep Set Prediction Networks. Yan Zhang, Jonathon Hare, Adam Prügel-Bennett

Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs. Joshua Payne

FSPool: Learning Set Representations with Featurewise Sort Pooling. Yan Zhang, Jonathon Hare, Adam Prügel-Bennett

Deep Learning Features Through Dictionary Learning with Improved Clustering for Image Classification. Shengda Luo, Alex Po Leung, Haici Zhang

Globally Optimal Model-based Clustering via Mixed Integer Nonlinear Programming. Patrick Flaherty, Pitchaya Wiratchotisatian, Andrew C. Trapp

Sliding Window Algorithms for k-Clustering Problems. Michele Borassi, Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitski, Morteza Zadimoghaddam

Optimized Recommendations When Customers Select Multiple Products. Prasoon Patidar, Deeksha Sinha, Theja Tulabandhula

Manipulating Person Videos with Natural Language. Levent Karacan, Mehmet Gunel, Aykut Erdem, Erkut Erdem

Permutation Invariance and Relational Reasoning in Multi-Object Tracking. Fabian B. Fuchs, Adam R. Kosiorek, Li Sun, Oiwi Parker Jones, Ingmar Posner.

Clustering by Learning to Optimize Normalized Cuts. Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini

Deformable Filter Convolution for Point Cloud Reasoning. Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun

Learning Embeddings from Cancer Mutation Sets for Classification Tasks. Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham, John Cassidy, Harry W Clifford

Exchangeable Generative Models with Flow Scans. Christopher M. Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Manzil Zaheer, Junier Oliva

Conditional Invertible Flow for Point Cloud Generation. Stypulkowski Michal, Zamorski Maciej, Zieba Maciej, Chorowski Jan

Getting Topology and Point Cloud Generation to Mesh. Austin Dill, Chun-Liang Li, Songwei Ge, Eunsu Kang

Distributed Balanced Partitioning and Applications in Large-scale Load Balancing. Aaron Archer, Kevin Aydin, MohammadHossein Bateni, Vahab Mirrokni, Aaron Schild, Ray Yang, Richard Zhuang

Chat is not available.