 
                                Krunoslav Lehman Pavasovic
@krunolehman
PhD in Generative AI @Meta & @ENS_ULM. Previously at @Inria, @ETH, @UniOfOxford, @CERN.
ID: 1576609018054905856
02-10-2022 16:24:22
10 Tweet
74 Takipรงi
253 Takip Edilen
 
        Neat paper on classifier-free guidance by K. Pavasovic, J. Verbeek, Giulio Biroli & M. Mezard: arxiv.org/abs/2502.07849โฆ
 
         
        ๐จ Your RL only improves ๐ฝ๐ฎ๐๐@๐ญ, not ๐ฝ๐ฎ๐๐@๐ธ? ๐จ Thatโs not a bug โ itโs a ๐ณ๐ฒ๐ฎ๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ผ๐ฏ๐ท๐ฒ๐ฐ๐๐ถ๐๐ฒ youโre optimizing. You get what you optimize for. If you want better pass@k, you need to optimize for pass@k at training time. ๐งต How?
 
                        
                    
                    
                    
                 
         
        We present an Autoregressive U-Net that incorporates tokenization inside the model, pooling raw bytes into words then word-groups. AU-Net focuses most of its compute on building latent vectors that correspond to larger units of meaning. Joint work with Badr Youbi Idrissi 1/8
 
                        
                    
                    
                    
                 
         
                        ![Federico Baldassarre (@baldassarrefe) on Twitter photo DINOv2 meets text at #CVPR 2025! Why choose between high-quality DINO features and CLIP-style vision-language alignment? Pick both with dino.txt ๐ฆ๐
We align frozen DINOv2 features with text captions, obtaining both image-level and patch-level alignment at a minimal cost. [1/N] DINOv2 meets text at #CVPR 2025! Why choose between high-quality DINO features and CLIP-style vision-language alignment? Pick both with dino.txt ๐ฆ๐
We align frozen DINOv2 features with text captions, obtaining both image-level and patch-level alignment at a minimal cost. [1/N]](https://pbs.twimg.com/media/Gtbam9fW0AAC7_j.jpg)