Industry
Learning Energy-based Model via Dual-MCMC Teaching
This paper studies the fundamental learning problem of the energy-based model (EBM).
Adversarial Training and Robustness for Multiple Perturbations
Neural Information Processing Systems http://nips.cc/
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis
Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin
Neural Information Processing Systems http://nips.cc/
SNIPER: Efficient Multi-Scale Training
Bharat Singh, Mahyar Najibi, Larry S. Davis
Neural Information Processing Systems http://nips.cc/
Heterogeneous Multi-output Gaussian Process Prediction
Pablo Moreno-Muñoz, Antonio Artés, Mauricio Álvarez
Neural Information Processing Systems http://nips.cc/
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data
Xenia Miscouridou, Francois Caron, Yee Whye Teh
Neural Information Processing Systems http://nips.cc/
ExplainableReinforcementLearningviaModel Transforms
Understanding emerging behaviors of reinforcement learning (RL) agents may be difficult since such agents are often trained in complex environments using highly complex decision making procedures.