Here’s a link to yesterday’s research meeting, which was a “trip report” on this year’s ICLR conference.
Thanks for the stream. Great review @lucasosouza.
Here are links to the papers:
Model Zoology and Neural Taskonomy for Better Characterizing Mouse Visual Cortex (pdf)
Bridging intelligent robotics and cognitive science (pdf)
Fantastic Generalization Measures and Where to Find Them
BackPACK: Packing more into Backprop
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
Enhancing Adversarial Defense by k-Winners-Take-All
Dynamic Model Pruning with Feedback
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Thanks @Falco and @Paul_Lamb. Here is the link for the presentation as well: https://docs.google.com/presentation/d/1c9zb38lraOsyI-cHMl-ggQCndWRsUBiHk9BQNyx99r0/edit?usp=sharing