Photo by Ian Sane Last week I had a question from a colleague about reproducibility in TensorFlow, specifically in the 1.14 era. He wanted to be able to run the same training code multiple times and get exactly the same results, which on the surface doesn't seem like an unreasonable expectation. Machine learning training is…
The Data Exchange Podcast: Paolo Cremonesi and Maurizio Ferrari Dacrema on the reproducibility, complexity, and inefficiency of neural methods for recommenders. Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS. This week’s guests are leading researchers in recommendation systems: Paolo Cremonesi is Professor of Computer Science and Maurizio Ferrari Dacrema is a Postdoc at Politecnico di Milano, where they are both part of
The biological brain neurons exhibit various critical phase transition patterns, among them is the long-range memory phenomenon. One common hypothesis is that t
Abstract page for arXiv paper 2106.13898: Closed-form Continuous-time Neural Models
Link prediction is one of the central problems in graph mining. However, recent studies highlight the importance of higher-order network analysis, where complex structures called motifs are the first-class citizens. We first show that existing link prediction schemes fail to effectively predict motifs. To alleviate this, we establish a general motif prediction problem and we propose several heuristics that assess the chances for a specified motif to appear. To make the scores realistic, our heuristics consi
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The artificial intelligence community just witnessed something extraordinary—and profoundly counterintuitive. A neural network with merely 7 million
Voice cloning technology relies on deep learning neural networks, particularly recurrent neural networks (RNNs) and convolutional neural networks
Rizan Bhandari is researcher and full-stack developer based in Kathmandu. He specializes in building modern web platforms and infrastructure.
WebNN, WebNN Neural Network API