ayesha

“People who are crazy enough to think they can change the world, are the ones who do.” -Steve Jobs

[Perfect Game California @California_PG]

Two punchouts for Bonita lefty Daniel Nageer (2026). Went to heavy use of SL to finish things out. 75-78 t 79 on the SL w/ FB 87/88. Currently Uncommitted.
#PGHS
@Bonita_Baseball @PG_Uncommitted

[Tim Cook @tim_cook]

Apple Park is glowing! #AppleEvent

[Greg Joswiak @gregjoz]

My favorite time of the year is finally here! Tune in at 10am PT for an #AppleEvent you won’t want to miss. https://t.co/Yyg2uq2QmI

[Love Island USA @loveislandusa]

Serena and Kordell's love is burning bright! ❤️‍🔥 #LoveIslandUSA

[Dan Busbridge @danbusbridge]

Contrastive learning usually maximize the similarity of exactly 2 views. What happens for >2 views? 🤔

In our ICLR 2024 paper Poly-View Contrastive Learning (PVC) https://t.co/dBYeWv7Zkc, we find contrasting >2 views outperforms 2-view methods for the same compute 🧵

[Yizhe Zhang @YizheZhangNLP]

Thanks @_akhaliq for sharing our work. We evaluated SOTA VLMs on challenging Raven's Progressive Matrices. We found that VLMs still struggle to reach human-level performance, with perception being the main bottleneck.

https://t.co/xPnYSTTRMi

https://t.co/oakKJIgMPX

[Fartash Faghri @FartashFg]

Our team at #Apple is looking for interns to work on Large Language Models, especially on efficient continual training. Please email your CV, related papers/code, and your availability for a full-time internship to fartashATappleDOTcom.

[Tim Cook @tim_cook]

The new Apple Sports iPhone app makes following your favorite teams and leagues fast and simple. I can’t wait to use it during the 2024 @MLS Season, which kicks off tonight between Inter Miami CF and Real Salt Lake on #MLSSeasonPass!

[Bogdan Mazoure @bogdan_mazoure]

🚨 Missed the ICML deadline today? Consider submitting a short (4 pages) or long (9 pages) paper to our GenAI+Decision Making workshop at ICLR 2024: https://t.co/6VukYXf2Tv !

Deadline is extended to February 9, AOE.

[Vimal Thilak🦉🐒 @ $HOME @AggieInCA]

ICLR24 Spotlight: To train general-purpose SSL models, it's important to measure the quality of representations during training. But how can we do this w/o downstream labels?
We propose a new label-free metric to eval SSL models, called Linear Discrimination Analysis Rank(LiDAR)

[Alaa El-Nouby @alaa_nouby]

Excited to share AIM 🎯 - a set of large-scale vision models pre-trained solely using an autoregressive objective. We share the code & checkpoints of models up to 7B params, pre-trained for 1.2T patches (5B images) achieving 84% on ImageNet with a frozen trunk.

(1/n) 🧵

[Luma @LumaLabsAI]

🔥 Introducing Genie 1.0, our first step towards building multimodal AI. Genie is a text-to-3d model capable of creating any 3d object you can dream of in under 10 seconds with materials, quad mesh retopology, variable polycount, and in all standard formats! Try it on web and in Luma’s iOS app now → https://t.co/tYsIJ5RDk2

#generativeai #textto3d #multimodalai

[Bogdan Mazoure @bogdan_mazoure]

Have a research idea at the intersection of generative models and RL, IL or planning? Consider submitting a short (4 pages) or long (9 pages) paper to our GenAI+Decision Making workshop at ICLR 2024: https://t.co/6VukYXf2Tv

More information coming early January!

[Awni Hannun @awnihannun]

The crew at Hugging Face 🤗 made a bunch of pre-converted MLX models!

Llama, Phi-2, Mistral, Mixtral (and instruct and code variations where available)!

Easier than ever to get started running them locally.

Checkout the MLX Community https://t.co/dUgErUXnM3

[Anurag Ranjan @anuragranj]

Introducing 🫂HUGS: Human Gaussian Splats - capable of creating animatable (3DGS) avatars from a casual video (50-100 frames) in ~30 mins. Our avatars can easily be embedded into other (NeRF) scenes. (1/4)

Project: https://t.co/ws69aCAUtG
arXiv: https://t.co/yjsR9Vt8RY

[Raviteja Vemulapalli @raviteja_vemu]

Our recent work on zero-shot adaptation of ASR models to new topics using synthetic data generated with LLMs
40% RWER gain on some topics
#ICASSP2024

Paper: https://t.co/eZ3Tv5UQxr

With @jacksukk, Ting-Yao Hu, Hema Koppula, Rick Chang, Karren Yang, Gautam Varma, @OncelTuzel

[Pierre Ablin @PierreAblin]

Excited to be at Neurips!

I'll present "How to scale your EMA" (poster #1000) on Wed, 10:45-12:45 (https://t.co/JxtFXYYKk9)

and "Adaptive Training Distributions with Scalable Online Bilevel Optimization" at the DistShift workshop on Fri. (https://t.co/9xUnw6w027)

[Natalie Schluter @natschluter]

A little more on MLR: (1) Research horizon is 3-5 years, (2) lightweight publication approval process, (3) pretty flat organisation, (4) open to external collaboration and scientific discussion. Check out this list of MLR researchers on X! https://t.co/O8ZIhwxjDA 3/

[Ruiqi Gao @RuiqiGao]

Excited to see people coming for our #NeurIPS23 tutorial on “latent diffusion models” at Hall E2. This happening. Hope you’d enjoy it! ☺️

[Alaa El-Nouby @alaa_nouby]

📢 The @Apple MLR team in Paris is looking for a strong PhD intern

🔎 Topics: Representation learning at scale, Vision+Language, and multi-modal learning.

Please reach out if you're interested! You can apply here 👇
https://t.co/mnnTmAKWbw