Papers
Hyperbolic Graph Convolutional Neural Networks
Ines Chami, Zhitao Ying, Christopher Ré et al.
How degenerate is the parametrization of neural networks with the ReLU activation function?
Dennis Maximilian Elbrächter, Julius Berner, Philipp Grohs
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves
Stefan Meintrup, Alexander Munteanu, Dennis Rohde
Flattening a Hierarchical Clustering through Active Learning
Fabio Vitale, Anand Rajagopalan, Claudio Gentile
Cormorant: Covariant Molecular Neural Networks
Brandon Anderson, Truong Son Hy, Risi Kondor
Learning Erdos-Renyi Random Graphs via Edge Detecting Queries
Zihan Li, Matthias Fresacher, Jonathan Scarlett
Learning Mean-Field Games
Xin Guo, Anran Hu, Renyuan Xu et al.
DTWNet: a Dynamic Time Warping Network
Xingyu Cai, Tingyang Xu, Jinfeng Yi et al.
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato, Melissa Tan, Ryan Faulkner et al.
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
Qing Qu, Xiao Li, Zhihui Zhu
Lower Bounds on Adversarial Robustness from Optimal Transport
Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal
Hyperspherical Prototype Networks
Pascal Mettes, Elise van der Pol, Cees Snoek
Zero-Shot Semantic Segmentation
Maxime Bucher, Tuan-Hung VU, Matthieu Cord et al.
A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport
Arun Jambulapati, Aaron Sidford, Kevin Tian
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine et al.
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging
Pooria Joulani, András György, Csaba Szepesvari
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue et al.
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He, Gao Huang, Yang Yuan
Exact Gaussian Processes on a Million Data Points
Ke Wang, Geoff Pleiss, Jacob Gardner et al.
Order Optimal One-Shot Distributed Learning
Arsalan Sharifnassab, Saber Salehkaleybar, S. Jamaloddin Golestani
Cross Attention Network for Few-shot Classification
Ruibing Hou, Hong Chang, Bingpeng MA et al.
Deep Equilibrium Models
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
Multi-resolution Multi-task Gaussian Processes
Oliver Hamelijnck, Theodoros Damoulas, Kangrui Wang et al.
XNAS: Neural Architecture Search with Expert Advice
Niv Nayman, Asaf Noy, Tal Ridnik et al.