Papers
Identifying and Controlling Important Neurons in Neural Machine Translation
Anthony Bau, Yonatan Belinkov, Hassan Sajjad et al.
Initialized Equilibrium Propagation for Backprop-Free Training
Peter O'Connor, Efstratios Gavves, Max Welling
Variational Smoothing in Recurrent Neural Network Language Models
Lingpeng Kong, Gabor Melis, Wang Ling et al.
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon et al.
Reward Constrained Policy Optimization
Chen Tessler, Daniel J. Mankowitz, Shie Mannor
Quaternion Recurrent Neural Networks
Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid et al.
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha et al.
StrokeNet: A Neural Painting Environment
Ningyuan Zheng, Yifan Jiang, Dingjiang Huang
Large-Scale Study of Curiosity-Driven Learning
Yuri Burda, Harri Edwards, Deepak Pathak et al.
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers
Alexander Shekhovtsov, Boris Flach
Function Space Particle Optimization for Bayesian Neural Networks
Ziyu Wang, Tongzheng Ren, Jun Zhu et al.
Hierarchical Visuomotor Control of Humanoids
Josh Merel, Arun Ahuja, Vu Pham et al.
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
Peng Cao*, Yilun Xu*, Yuqing Kong et al.
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
Jose Oramas, Kaili Wang, Tinne Tuytelaars
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos
Elke Kirschbaum, Manuel Haußmann, Steffen Wolf et al.
Hindsight policy gradients
Paulo Rauber, Avinash Ummadisingu, Filipe Mutz et al.
Visual Reasoning by Progressive Module Networks
Seung Wook Kim, Makarand Tapaswi, Sanja Fidler
Attentive Neural Processes
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz et al.
Robust Conditional Generative Adversarial Networks
Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing, Theophane Weber, Yori Zwols et al.
ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS
Chao GAO, jiyi LIU, Yuan YAO et al.
Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction
Tiansi Dong, Chrisitan Bauckhage, Hailong Jin et al.
Execution-Guided Neural Program Synthesis
Xinyun Chen, Chang Liu, Dawn Song
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Ofir Nachum, Shixiang Gu, Honglak Lee et al.