I may never understand what harness means - it's used in so many contexts
What happens if we don't add any moments matching objective? e.g. at train time just fit a diffusion model that predicts the target given any pair of timesteps (t, t')? Why is moment matching critical here? Also…
Fascinating article. I wonder what made her do the steps in finding what's "different" with her, and most of all, why the need to fix it arose. Is it to "fit in", understandably? It somehow felt alien to me, and this…
Yes it makes sense a bit. Many popular convents operate on 3x3 kernels. But the number of channel increases per layer. This, coupled with the fact that the receptive field increases per layer and allows convnets to…
Convolutions are bad at long range spatial dependencies? What makes you say that - any chance you have a reference?
I haven't seen RL with decision trees! it sounds really interesting. Any classic results worth looking into?
Toll noticable only back in those days or even in the future?
Was it more productive, objectively speaking, than being consistent and not dealing with the constant drainage due to severely lacking sleep?
Can you give some example usecases of your application? I wonder how it scales to complex (in terms of structure) information processing, e.g. digesting scientific topics
So therapy is not effective as per the paper. This seems like an astounding conclusion. Has anyone read the paper in detail and has a deeper opinion?
How does this differ from RNNs and their gating mechanism?
From the glance of it, the paper looks very polished. Combine this with the fact that arxiv is invite-only, your prediction might not come about
How big and random were these "few extras"?
I've got good results with white noise, not sure if that's something that would work for you. And of course I didn't suggest that this eliminates other distractions.
Why not put these earbuds in the office?
"Ar5iv" does a pretty good job from my experience
A bit surprising to hear that you weren't swimming in offers to hire you all the time. Any idea why that was? Maybe you're somewhat picky about the job and responsibilities that come with it?
Slightly related but sparsity-inducing activation function Relu is often used in neural networks
I don't remember the exact tweet, but here's one discussion [1]. I guess something changed in the mean time. [1]_https://www.reddit.com/r/Amd/comments/140uct5/geohot_giving_...
Didn't they abandon development of AMD related software?
Why did you start the blog? Was the reason to stand out or something else?
To me the acceleration of the touchpad of macbooks feels unnatural, even after prolonged used. And this is coming from a linux user on an XPS. It's so rare to find this opinion being shared though.
Maybe OP doesn't travel a lot. Or is a taxi driver :)
That's an interesting morning routine. Why do you do so (do you work in 'measurement' industry?)?
Sorry to hear that. I guess you experienced major setbacks in your life this year?
I may never understand what harness means - it's used in so many contexts
What happens if we don't add any moments matching objective? e.g. at train time just fit a diffusion model that predicts the target given any pair of timesteps (t, t')? Why is moment matching critical here? Also…
Fascinating article. I wonder what made her do the steps in finding what's "different" with her, and most of all, why the need to fix it arose. Is it to "fit in", understandably? It somehow felt alien to me, and this…
Yes it makes sense a bit. Many popular convents operate on 3x3 kernels. But the number of channel increases per layer. This, coupled with the fact that the receptive field increases per layer and allows convnets to…
Convolutions are bad at long range spatial dependencies? What makes you say that - any chance you have a reference?
I haven't seen RL with decision trees! it sounds really interesting. Any classic results worth looking into?
Toll noticable only back in those days or even in the future?
Was it more productive, objectively speaking, than being consistent and not dealing with the constant drainage due to severely lacking sleep?
Can you give some example usecases of your application? I wonder how it scales to complex (in terms of structure) information processing, e.g. digesting scientific topics
So therapy is not effective as per the paper. This seems like an astounding conclusion. Has anyone read the paper in detail and has a deeper opinion?
How does this differ from RNNs and their gating mechanism?
From the glance of it, the paper looks very polished. Combine this with the fact that arxiv is invite-only, your prediction might not come about
How big and random were these "few extras"?
I've got good results with white noise, not sure if that's something that would work for you. And of course I didn't suggest that this eliminates other distractions.
Why not put these earbuds in the office?
"Ar5iv" does a pretty good job from my experience
A bit surprising to hear that you weren't swimming in offers to hire you all the time. Any idea why that was? Maybe you're somewhat picky about the job and responsibilities that come with it?
Slightly related but sparsity-inducing activation function Relu is often used in neural networks
I don't remember the exact tweet, but here's one discussion [1]. I guess something changed in the mean time. [1]_https://www.reddit.com/r/Amd/comments/140uct5/geohot_giving_...
Didn't they abandon development of AMD related software?
Why did you start the blog? Was the reason to stand out or something else?
To me the acceleration of the touchpad of macbooks feels unnatural, even after prolonged used. And this is coming from a linux user on an XPS. It's so rare to find this opinion being shared though.
Maybe OP doesn't travel a lot. Or is a taxi driver :)
That's an interesting morning routine. Why do you do so (do you work in 'measurement' industry?)?
Sorry to hear that. I guess you experienced major setbacks in your life this year?