Papers
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
Masha Itkina, Boris Ivanovic, Ransalu Senanayake et al.
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging
Chaoning Zhang, Philipp Benz, Adil Karjauv et al.
BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits
Mo Tiwari, Martin J Zhang, James Mayclin et al.
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Gregory Farquhar, Bei Peng et al.
Towards a Better Global Loss Landscape of GANs
Ruoyu Sun, Tiantian Fang, Alexander Schwing
Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu, Zheng Xiong, Meng Qu et al.
Model-based Adversarial Meta-Reinforcement Learning
Zichuan Lin, Garrett Thomas, Guangwen Yang et al.
Simple and Scalable Sparse k-means Clustering via Feature Ranking
Zhiyue Zhang, Kenneth Lange, Jason Xu
MetaSDF: Meta-Learning Signed Distance Functions
Vincent Sitzmann, Eric Chan, Richard Tucker et al.
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
Kyunghyun Lee, Byeong-Uk Lee, Ukcheol Shin et al.
Private Identity Testing for High-Dimensional Distributions
Clément L Canonne, Gautam Kamath, Audra McMillan et al.
Learning Multi-Agent Communication through Structured Attentive Reasoning
Murtaza Rangwala, Ryan Williams
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching
Di Hu, Rui Qian, Minyue Jiang et al.
Biological credit assignment through dynamic inversion of feedforward networks
Bill Podlaski, Christian K. Machens
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks
Jing Xu, Fangwei Zhong, Yizhou Wang
CoSE: Compositional Stroke Embeddings
Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi et al.
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
Yongqi Zhang, Quanming Yao, Lei Chen
Data Diversification: A Simple Strategy For Neural Machine Translation
Xuan-Phi Nguyen, Shafiq Joty, Kui Wu et al.
Optimal Best-arm Identification in Linear Bandits
Yassir Jedra, Alexandre Proutiere
What shapes feature representations? Exploring datasets, architectures, and training
Katherine Hermann, Andrew Lampinen
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Arnu Pretorius, Scott Cameron, Elan van Biljon et al.
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han, Junyu Gao, Yuan Yuan et al.
Self-supervised learning through the eyes of a child
Emin Orhan, Vaibhav Gupta, Brenden M Lake
Information theoretic limits of learning a sparse rule
Clément Luneau, jean barbier, Nicolas Macris