31 citations · 125 across the 24 of their papers we have counts for
6 papers · 1 filter
Associative Memories via Predictive Coding
Tommaso Salvatori, Yuhang Song, Yujian Hong +5
Associative memories in the brain receive and store patterns of activity registered by the sensory neurons, and are able to retrieve them when necessary. Due to their importance in…
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz +2
Predictive coding networks (PCNs) are an influential model for information processing in the brain. They have appealing theoretical interpretations and offer a single mechanism tha…
Reverse Differentiation via Predictive Coding
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz +2
Deep learning has redefined the field of artificial intelligence (AI) thanks to the rise of artificial neural networks, which are architectures inspired by their neurological count…
Detecting Beneficial Feature Interactions for Recommender Systems
Yixin Su, Rui Zhang, Sarah Erfani +1
Feature interactions are essential for achieving high accuracy in recommender systems. Many studies take into account the interaction between every pair of features. However, this…
Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce
Zehua Cheng, Zhenghua Xu
It is inevitable to train large deep learning models on a large-scale cluster equipped with accelerators system. Deep gradient compression would highly increase the bandwidth utili…
Diversity-Driven Extensible Hierarchical Reinforcement Learning
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz +2
Hierarchical reinforcement learning (HRL) has recently shown promising advances on speeding up learning, improving the exploration, and discovering intertask transferable skills. M…