Papers
Hierarchical Neural Architecture Search for Deep Stereo Matching
Xuelian Cheng, Yiran Zhong, Mehrtash Harandi et al.
Texture Interpolation for Probing Visual Perception
Jonathan Vacher, Aida Davila, Adam Kohn et al.
Towards Understanding Hierarchical Learning: Benefits of Neural Representations
Minshuo Chen, Yu Bai, Jason Lee et al.
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu, Matthias Fey, Marinka Zitnik et al.
Gradient Boosted Normalizing Flows
Robert Giaquinto, Arindam Banerjee
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
Wenzheng Feng, Jie Zhang, Yuxiao Dong et al.
Set2Graph: Learning Graphs From Sets
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi et al.
Learning Individually Inferred Communication for Multi-Agent Cooperation
Ziluo Ding, Tiejun Huang, Zongqing Lu
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems
Kaiqing Zhang, Bin Hu, Tamer Basar
Model Fusion via Optimal Transport
Sidak Pal Singh, Martin Jaggi
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization
Qing Feng, Ben Letham, Hongzi Mao et al.
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation
Bowen Li, Xiaojuan Qi, Philip Torr et al.
SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology
Mark Veillette, Siddharth Samsi, Chris Mattioli
Learning Latent Space Energy-Based Prior Model
Bo Pang, Tian Han, Erik Nijkamp et al.
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch, Ankush Gupta, Andrew Zisserman
Attribute Prototype Network for Zero-Shot Learning
Wenjia Xu, Yongqin Xian, Jiuniu Wang et al.
Minibatch Stochastic Approximate Proximal Point Methods
Hilal Asi, Karan Chadha, Gary Cheng et al.
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Hadi Salman, Mingjie Sun, Greg Yang et al.
Beyond Lazy Training for Over-parameterized Tensor Decomposition
Xiang Wang, Chenwei Wu, Jason Lee et al.
Goal-directed Generation of Discrete Structures with Conditional Generative Models
Amina Mollaysa, Brooks Paige, Alexandros Kalousis
Contextual Games: Multi-Agent Learning with Side Information
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause et al.
Robust Persistence Diagrams using Reproducing Kernels
Siddharth Vishwanath, Kenji Fukumizu, Satoshi Kuriki et al.
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate
Akifumi Okuno, Hidetoshi Shimodaira
One-sample Guided Object Representation Disassembling
Zunlei Feng, Yongming He, Xinchao Wang et al.
Differentiable Causal Discovery from Interventional Data
Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste et al.