We've open sourced a @PyTorch implementation of our paper on disentangling discrete and continuous factors at https://t.co/gR3UzJtsJ2 pic.twitter.com/xWqtSDgApR
— Emilien Dupont (@emidup) May 31, 2018
We've open sourced a @PyTorch implementation of our paper on disentangling discrete and continuous factors at https://t.co/gR3UzJtsJ2 pic.twitter.com/xWqtSDgApR
— Emilien Dupont (@emidup) May 31, 2018
Super cool @PyTorch reimplementation (+ new stuff) of our @DeepMindAI differentiable stacks/queues/etc (NIPS'15) by @Yale undergrad(!) Will Merrill. Check it out!https://t.co/1jlHp6rnL3
— Edward Grefenstette (@egrefen) May 29, 2018
Our paper, Averaging Weights Leads to Wider Optima and Better Generalization, is appearing as an oral at #UAI2018! Joint with @Pavel_Izmailov, D. Podoprikhin, @tim_garipov, D. Vetrov. https://t.co/8k87b3Q3I2
— Andrew Gordon Wilson (@andrewgwils) May 16, 2018
+code!https://t.co/XDTpDLQ8lE