Papers
Learning Multi-Agent Communication through Structured Attentive Reasoning
Murtaza Rangwala, Ryan Williams
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks
Jing Xu, Fangwei Zhong, Yizhou Wang
Learning Mutational Semantics
Brian Hie, Ellen Zhong, Bryan Bryson et al.
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
Nanbo Li, Cian Eastwood, Robert Fisher
Learning of Discrete Graphical Models with Neural Networks
Abhijith Jayakumar, Andrey Lokhov, Sidhant Misra et al.
Learning Optimal Representations with the Decodable Information Bottleneck
Yann Dubois, Douwe Kiela, David J Schwab et al.
Learning outside the Black-Box: The pursuit of interpretable models
Jonathan Crabbe, Yao Zhang, William Zame et al.
Learning Parities with Neural Networks
Amit Daniely, Eran Malach
Learning Physical Constraints with Neural Projections
Shuqi Yang, Xingzhe He, Bo Zhu
Learning Physical Graph Representations from Visual Scenes
Daniel Bear, Chaofei Fan, Damian Mrowca et al.
Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado, Yi Li, Nuno Nvasconcelos
Learning Restricted Boltzmann Machines with Sparse Latent Variables
Guy Bresler, Rares-Darius Buhai
Learning Retrospective Knowledge with Reverse Reinforcement Learning
Shangtong Zhang, Vivek Veeriah, Shimon Whiteson
Learning Rich Rankings
Arjun Seshadri, Stephen Ragain, Johan Ugander
Learning Robust Decision Policies from Observational Data
Muhammad Osama, Dave Zachariah, Peter Stoica
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang, Rodrigo Fonseca, Yuandong Tian
Learning Semantic-aware Normalization for Generative Adversarial Networks
Heliang Zheng, Jianlong Fu, Yanhong Zeng et al.
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
Jonathan Kelner, Frederic Koehler, Raghu Meka et al.
Learning sparse codes from compressed representations with biologically plausible local wiring constraints
Kion Fallah, Adam Willats, Ninghao Liu et al.
Learning Sparse Prototypes for Text Generation
Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig
Learning Strategic Network Emergence Games
Rakshit Trivedi, Hongyuan Zha
Learning Strategy-Aware Linear Classifiers
Yiling Chen, Yang Liu, Chara Podimata
Learning Structured Distributions From Untrusted Batches: Faster and Simpler
Sitan Chen, Jerry Li, Ankur Moitra
Learning the Geometry of Wave-Based Imaging
Konik Kothari, Maarten de Hoop, Ivan Dokmanić
Learning the Linear Quadratic Regulator from Nonlinear Observations
Zakaria Mhammedi, Dylan J Foster, Max Simchowitz et al.