Country
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Devansh Arpit, Víctor Campos, Yoshua Bengio
Neural Information Processing Systems http://nips.cc/
Improving Diffusion-Based Image Synthesis with Context Prediction Ling Y ang
Diffusion models are a new class of generative models, and have dramatically promoted image generation with unprecedented quality and diversity.
On the Curved Geometry of Accelerated Optimization
Neural Information Processing Systems http://nips.cc/
Virtual Class Enhanced Discriminative Embedding Learning
Binghui Chen, Weihong Deng, Haifeng Shen
Neural Information Processing Systems http://nips.cc/
Predicting the Politics of an Image Using Webly Supervised Data
Christopher Thomas, Adriana Kovashka
Neural Information Processing Systems http://nips.cc/
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
Neural Information Processing Systems http://nips.cc/
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen, Chang Liu, Dawn Song
Program translation isanimportant tool tomigrate legacycode inone language into an ecosystem built in a different language. In this work, we are the first to employ deep neural networks toward tackling this problem.
Predictive Attractor Models
The task of sequential memory is considered challenging for models operating under biological constraints (i.e., local synaptic computations) for many reasons, including catastrophic forgetting,