Top Tweets for #ICML22
#ICML22 Can we build autonomous agents to leverage prior experience and learn novel tasks from a handful of demonstrations as we humans? Please check our Prompt-DT, which leverages the sequential modeling ability of the Transformer architecture to achieve few-shot adaptation!
Our DeepVelo (https://t.co/u62EOQrruR ) is awarded as the best poster at #icml22 #combio workshop! congratulations to two of my amazing students Hassaan and @HAOTIANCUI1 !
Super interesting work by @goyalsachin007 and co-authors on adapting to distribution shifts during test time! Looking forward to @zicokolter's talk on this at the UpML workshop at #ICML22!
How do you find the "right" loss for test-time adaptation to distribution shifts? Turns out we can use convex conjugates!
New paper📢 with @Eric_jie_thu, Aditi Raghunathan, @zicokolter.
Test-Time Adaptation via Conjugate Pseudo-labels
https://t.co/X1f4p8mazi
@yangarbiter, @yaodong_yu, and I are all in person at #ICML and we're happy to present the "What You See Is What You Get" work (more in the quoted tweet) at the PODS workshop! Check out our poster at 11:50am - 12:30pm and 4:55pm - 5:40pm. #ICML22
A new preprint is out!
“What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning” w/ @yangarbiter, @yaodong_yu, Jarek Błasiok, & @PreetumNakkiran, in which we show that differential privacy can ensure predictable model behavior.
🦊 FastPBRL - a high-performing implementation of Population-Based Training for RL. It yields a ~20x speed-ups on a single GPU compared to the official implementation of DvD and CEM-RL⚡
(presented this week at #ICML22)
https://t.co/EXZJiFcU8V
Forma from our lab will present his poster on Saturday at the Continuous Time Perspectives in Machine Learning Workshop of #ICML22, Baltimore on #interpretable #timeseries model. https://t.co/7vnlS0MYvL
In all of the pandemic, my WiFi never let me down when giving a talk.
First time it happened it had to be at #ICML22.
My karma 😂.
It's Obliviaaate!
Are you trying to make a classifier forget a "concept" using probing-classifier-based methods and failing?
Check out our work (https://t.co/h5z0EBCGCK) at Poster Session 1 tomorrow (07/22, 1:30-2:50pm EST) in SCIS Workshop (https://t.co/T23uEf2Rmf) at #ICML22.
If anyone is attending Sparse Machine Learning Professional Meetup sponsored by Amazon, let’s catch up! I and @Ayuschat will be around. Wonderful opportunity to discuss interesting ideas.
At #icml22. Feels great to finally be back to an in-person conference edition! Talking about this paper tomorrow (Thursday) 11:40 at room 307, and presenting the poster tomorrow 6pm-8pm at Hall E #1218. Come say hi!
Excited about this paper with @charapod, @zstevenwu, and Juba Ziani. We study learning with strategic behavior, but with a twist – the decision rule is not exposed to strategic individuals, who instead attempt to learn about it from their peers. https://t.co/iTOI6pKTYE
Happy to not have an outstanding paper at #ICML22
@LotfiSanae every outstanding paper this conference seems to have attracted someone with a grudge 🤷♀️
Me @aryehazan and Uri Stemmer, are presenting at @icmlconf our study about the possibilities of obtaining generalization bounds for the adaptive setting even when the data points are correlated.
Just by our poster today at if you want to talk :)
https://t.co/Kt3SPlQuVs
#ICML22
"Outstanding reviewers" at #ICML22 got a complimentary registration and an invitation to chair a session. I like that reviewing gets appreciated and rewarded!
I am looking forward to chairing the session on Deep Learning/Optimisation today at 4:30 pm EDT! Cool papers there!
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