-
shima__shima
- 13607
- 42
- 2
- 3
-
- いいね！3
Nando de Freitas 🏳️🌈
@NandoDF
#nips2016 memories: So much excitement, wonderful ideas, what a fantastic event. This is bigger than any of us.
2016-12-15 17:08:03
Nando de Freitas 🏳️🌈
@NandoDF
#nips2016 memories: Yet again, appalling gender and race diversity. WIML are doing a great job to help with this.
2016-12-15 17:09:19
Nando de Freitas 🏳️🌈
@NandoDF
#nips2016 memories: Catching up with wonderful colleagues who have been in this journey with me for 2 decades-We need a seniors only NIPS :)
2016-12-15 17:11:18
UCL Big Data
@uclbdi
@NandoDF It's been heartening to see your efforts to draw attention to diversity at #nips2016 - this chart shows one aspect of the challenge
2016-12-15 17:14:00
PJ Camillieri
@cam_pj
Impressed by this #nips2016 recap. Very thorough, lots to learn and dig. Thanks @stuhlmueller! blog.ought.com/nips-2016-875b… via @forereads #AI
2016-12-15 19:12:37
Sebastian Gehrmann
@sebgehr
A compilation of github repos for #nips2016 papers. Add your own if it is missing! reddit.com/r/MachineLearn…
2016-12-15 22:22:39
Steve
@steve_ash
Great summary of NIPS2016. Wish I could've gone. blog.ought.com/nips-2016-875b…
2016-12-15 23:34:07
Vin Vashishta
@v_vashishta
Some general takeaways from #NIPS2016 nuit-blanche.blogspot.com/2016/12/some-g… #MachineLearning
2016-12-16 00:00:03
John Wakefield
@johncwakefield
Nice summary of adversarial training (GANs) talks from #nips2016 by @fhuszar inference.vc/my-summary-of-…
2016-12-16 02:45:16
Jaime Biosca
@jbiosc
Awesome invited talk from the founder of Boston Dynamics, Marc Raibert, with a demo of SpotMini by Seth Davis #NIPS2016 pic.twitter.com/nDEPpG7RbN
2016-12-16 03:51:45
拡大
拡大
Jaime Biosca
@jbiosc
Tim Salimans on Weight Normalization: A Simple Reparameterization to Accelerate Training of DNNs github.com/openai/weightn… #nips2016 pic.twitter.com/jF1dYyyjah
2016-12-16 04:22:44
拡大