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Gabriele Berton

@gabriberton · Mountain View, CA · joined 13 Dec 2021

Training VLMs at @GoogleDeepMind - ex @Amazon @CarnegieMellon @PoliTOnews @IITalk - I post honest non-AI-generated paper reviews

17 401Followers
1 206Following
3 757Posts total
952KViews on collected posts

Ultimi post

@gulvarol starting now at the Video4Real workshop! Rooms 504-505 at @eccvconf #ECCV https://t.co/esLyIGO5Eb
1.4K views · 13 likes · 1 reposts · 1 replies Open on X →
Viorica Patraucean starting now at the Video4Real workshop! She's speaking about video understanding efforts at Google DeepMind Rooms 504-505 at @eccvconf #ECCV, the room is already packed! https://t.co/lTWJWw6mI8
1.6K views · 15 likes · 3 reposts · 1 replies Open on X →
@doughty_hazel starting now at the Video4Real workshop! Rooms 504-505 at @eccvconf #ECCV https://t.co/NoinRJfy1O
1.4K views · 17 likes · 3 reposts · 1 replies Open on X →
@gabriberton I think that's good? Ppl can go around in adhoc groups (and maybe make new friends) instead of desperately trying to get into the 'VIP' company events. 499 views · 2 likes · 0 reposts · 0 replies Open on X →
@gabriberton Is there any?? I didn’t find them anywhere. 573 views · 2 likes · 0 reposts · 0 replies Open on X →
@gabriberton recession indicator 712 views · 8 likes · 0 reposts · 0 replies Open on X →
How come there are so few social events at ECCV? 8.6K views · 49 likes · 0 reposts · 9 replies Open on X →
@gabriberton I don't think you always reduce GPU usage by half. In your situation, only the memory (of backward) used by Branch1 will be freed. The common network (before branching) will still occupy the same memory for both versions of the code. https://t.co/KXxL9cFk5V
3.2K views · 10 likes · 1 reposts · 1 replies Open on X →
Ok I'll use this - I'm looking for computer vision jobs/internships from November, anywhere in the world. I have industry experience (Amazon and more) and good publications (first authored 6 CVPR/ICCV). Background in VPR/IR but expanding my horizons. ~1000 stars on GitHub 13.2K views · 63 likes · 2 reposts · 1 replies Open on X →
Wow this is getting traction. I will post more tricks on how to write efficient code then 11.7K views · 56 likes · 0 reposts · 0 replies Open on X →
Limitations: this only works when you have more than one loss (with disentagled computational graphs). Bonus: the more losses you have, the more memory you'll save 37.8K views · 169 likes · 3 reposts · 8 replies Open on X →
This simple pytorch trick will cut in half your GPU memory use / double your batch size (for real). Instead of adding losses and then computing backward, it's better to compute the backward on each loss (which frees the computational graph). Results will be exactly identical http
871.3K views · 3.2K likes · 348 reposts · 48 replies Open on X →

Rispetto ad account della stessa dimensione

7 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane1 353questo account1 026mediana per 10K–100K
Copertura, %7.78%questo account3.75%mediana per 10K–100K
Interazione, %1.10%questo account1.68%mediana per 10K–100K
MetricaQuesto accountMediana per 10K–100KRapporto
Visualizzazioni mediane per post1 3531 0261.32×
Copertura (visualizzazioni ÷ follower)7.78%3.75%2.07×
Tasso di interazione1.10%1.68%0.66×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

871.3K31 May
37.8K
11.7K
13.2K
3.2K
8.6K7 Sep
712
573
499
1.4K9 Sep
1.6K
1.4K

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.42%31 May
0.48%
0.48%
0.50%
0.37%
0.67%7 Sep
1.12%
0.35%
0.40%
1.55%9 Sep
1.19%
1.10%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.68%.

What the audience does

Likes50.0%3 650 in total
Reposts4.9%361 in total
Replies1.0%70 in total
Bookmarks44.1%3 215 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Account simili