Deep Learning
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee
Neural Information Processing Systems http://nips.cc/
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
Xinyang Chen, Sinan Wang, Bo Fu, Mingsheng Long, Jianmin Wang
Neural Information Processing Systems http://nips.cc/
Frequency-Domain Dynamic Pruning for Convolutional Neural Networks
Zhenhua Liu, Jizheng Xu, Xiulian Peng, Ruiqin Xiong
Neural Information Processing Systems http://nips.cc/
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy, Lance Kaplan, Melih Kandemir
While one side of the coin is a boost of interest and investment on deep learning research, theother isanemergent need foritsrobustness, sample efficiency,security,and interpretability.
Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks
Hosein Hasani, Mahdieh Soleymani, Hamid Aghajan
Neural Information Processing Systems http://nips.cc/
Insights on representational similarity in neural networks with canonical correlation
Ari Morcos, Maithra Raghu, Samy Bengio
Neural Information Processing Systems http://nips.cc/