Xuefei Ning

[Xihui Liu @XihuiLiu]

Excited to share our recent work GenMAC: a multi-agent collaboration framework for compositional text-to-video generation.
Project page: https://t.co/O0r3KM9YX9
Paper: https://t.co/Mmuj2Cw10q https://t.co/J4mvcmNkPG
@KaiyiHUANG84276 @yukun6414 @FiNingm @lin_zinan

[Zinan Lin @lin_zinan]

[𝗜𝗻𝘁𝗲𝗿𝗻 𝗛𝗶𝗿𝗶𝗻𝗴]We are hiring a [𝐒𝐩𝐫𝐢𝐧𝐠 𝟐𝟎𝟐𝟓] [𝐟𝐮𝐥𝐥-𝐭𝐢𝐦𝐞] intern working on 𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻. If you are interested, please apply here https://t.co/FV2RwSri5B and send me an email: zinanlin at microsoft dot com

[Zinan Lin @lin_zinan]

🚀 Image AR models (𝗩𝗔𝗥 & 𝗟𝗹𝗮𝗺𝗮𝗚𝗲𝗻) can be distilled to 𝗢𝗡𝗘 step (up to 𝟮𝟭𝟴𝘅 𝗳𝗮𝘀𝘁𝗲𝗿) for the first time!

See 𝑫𝒊𝒔𝒕𝒊𝒍𝒍𝒆𝒅 𝑫𝒆𝒄𝒐𝒅𝒊𝒏𝒈 ↓

𝗪𝗲𝗯𝘀𝗶𝘁𝗲: https://t.co/m7AXsThqIr
𝗣𝗮𝗽𝗲𝗿: https://t.co/zzleBDdB3n
https://t.co/o2Fwk2l0Ze

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[AK @_akhaliq]

DiTFastAttn

Attention Compression for Diffusion Transformer Models

Diffusion Transformers (DiT) excel at image and video generation but face computational challenges due to self-attention's quadratic complexity. We propose DiTFastAttn, a novel post-training compression

[Zinan Lin @lin_zinan]

Thank @_akhaliq for featuring Skeleton-of-Thoughts! Check out the recorded demo: https://t.co/1vfFgaEoL4

It is just a start--more work to do towards a usable tool. But we genuinely believe in the potential of this data-driven direction to make LLMs more efficient and powerful!

[Zinan Lin @lin_zinan]

Thank @omarsar0 for featuring Skeleton-of-Thoughts! Check out the recorded demo: https://t.co/1vfFgaEoL4

It is just a start--more work to do towards a usable tool. But we genuinely believe in the potential of this data-driven direction to make LLMs more efficient and powerful!

[Zinan Lin @lin_zinan]

#ICML Accelerate 𝐒𝐭𝐚𝐛𝐥𝐞 𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧 by 𝟐𝐱 through a new perspective!

Visit poster #102 on Thursday, July 27th, at 10:30 am.

[𝐏𝐚𝐩𝐞𝐫] OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
https://t.co/21dYN19kpE

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[Song Han @songhan_mit]

Welcome to my new course on TinyML and Efficient Deep Learning, starting tomorrow: https://t.co/pVUkwoKU0B

[Colin White @crwhite_ml]

It was awesome giving at tutorial on neural architecture search at #AutoML_Conf with @debadeepta ! See our slides here:

[Xuefei Ning @FiNingm]

@ttq1008 天啦噜

[Xuefei Ning @FiNingm]

@bigeagle_xd 哈哈，学长当什么课的助教