Policies on LLMs Usage at ICLR 2026 have been released:
Policy 1⃣ Any use of an LLM must be disclosed
Policy 2⃣ ICLR authors and reviewers are ultimately responsible for their contributions
Full policy here 👉https://t.co/HcsxTDAVwl
I donated to @mozilla today to build the movement to reclaim the internet. Will you join me? Together we can ensure the internet remains open and accessible to all of us. https://t.co/ftx886v5He
Lecture 1⃣ on @MIT Introduction to #DeepLearning airing tomorrow (Fri March 10) at 10am ET! New lecture coming every week, same time.
Watch for #FREE here!👉https://t.co/2CBjPKqNhY
👀Sign up for updates 👉https://t.co/AlYKdlcPw2
YOLOv7 (accepted at CVPR2023) is 10x times faster than any Transformer-based models with the same accuracy for Object detection and Instance Segmentation on MSCOCO dataset. Make more optimal models rather than simply increasing them
https://t.co/t5EOx3IdQa
https://t.co/wGr41vzpa6
#CVPR2023 decisions are now available on OpenReview! This year, we received a record number of 9155 submissions (a 12% increase over CVPR 2022), and accepted 2360 papers, for a 25.78% acceptance rate.
ICLR 2023 provides travel support and volunteer opportunities for students who plans to attend the conference in person (or virtually) (https://t.co/86CM6VXGzy). If you are interested in applying, the deadline is Feb 20th.
⭐️ UPDATE: New 2022 Lectures ⭐️
Want to learn about #NeuralNetworks, CNNs, RNNs, GANs, VAEs, RL, & more? First 2022 #IntoToDeepLearning premiers this March 11 @ 10AM ET.
Many exciting new updates this year:
🤖 transformers
👀 attention
🚗 self-driving simulation
🤩 ...and more!
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
abs: https://t.co/vZz48wA5z2
project page: https://t.co/PtzdAq2nvN
Compared to DALL·E, Imagen/Parti , generates HR images with arbitrary sizes and support long-duration video generation
Wow! This is exciting! First ever course on Transformers by Stanford.
Really looking forward to the release of all lectures.
website: https://t.co/LR500LCdLL
youtube: https://t.co/Ygx90FEHj4