Deep Learning
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers Hadi Salman, Greg Y ang
In this paper, we employ adversarial training to improve the performance of randomized smoothing.
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon
Neural Information Processing Systems http://nips.cc/
Deep Supervised Summarization: Algorithm and Application to Learning Instructions
Chengguang Xu, Ehsan Elhamifar
For example, a representative car image among images of cars, once considered in a dataset of face images will become nonrepresentative.
Improving Textual Network Learning with Variational Homophilic Embeddings
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Neural Information Processing Systems http://nips.cc/
Bidirectional Recurrent Neural Networks as Generative Models
Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha T. Karhunen
Neural Information Processing Systems http://nips.cc/
