Wenling Shang

According to our database, Wenling Shang authored at least 14 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Agent-Centric Representations for Multi-Agent Reinforcement Learning.

Wenling Shang, Lasse Espeholt, Anton Raichuk, Tim Salimans

CoRR, 2021

GEM: Group Enhanced Model for Learning Dynamical Control Systems.

Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto, Pieter Abbeel, Stas Tiomkin

CoRR, 2021

Reinforcement Learning with Latent Flow.

Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning.

Wenling Shang, Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher

CoRR, 2019

Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis.

Wenling Shang, Kihyuk Sohn

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Stochastic Activation Actor Critic Methods.

Wenling Shang, Douwe van der Wal, Herke van Hoof, Max Welling

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Unsupervised Domain Adaptation for Distance Metric Learning.

Kihyuk Sohn, Wenling Shang, Xiang Yu, Manmohan Chandraker

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Channel-Recurrent Autoencoding for Image Modeling.

Wenling Shang, Kihyuk Sohn, Yuandong Tian

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

Channel-Recurrent Variational Autoencoders.

Wenling Shang, Kihyuk Sohn, Zeynep Akata, Yuandong Tian

CoRR, 2017

ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games.

Yuandong Tian, Qucheng Gong, Wenling Shang, Yuxin Wu, C. Lawrence Zitnick

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units.

Wenling Shang, Justin Chiu, Kihyuk Sohn

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit.

Wenling Shang, Kihyuk Sohn, Honglak Lee, Anna C. Gilbert

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units.

Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Improved Multimodal Deep Learning with Variation of Information.

Kihyuk Sohn, Wenling Shang, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014