Deep Learning
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Tengfei Ma, Jie Chen, Cao Xiao
Neural Information Processing Systems http://nips.cc/
Explicitly disentangling image content from translation and rotation with spatial-VAE
Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger
Neural Information Processing Systems http://nips.cc/
Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients?
In this article, we continue this line of investigation.
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN
Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
Neural Information Processing Systems http://nips.cc/
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Chen-Long Duan
Pre-training plays a vital role in various vision tasks, such as object recognition and detection.
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
The type of symmetry is typically fixed and has to be chosen in advance.