Jonathan LYS

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upvoted an article 8 days ago

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Article

wHy DoNt YoU jUsT uSe ThE lLaMa ToKeNiZeR??

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9 days ago

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upvoted 2 papers 2 months ago

SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1 • 105

The Llama 3 Herd of Models

Paper • 2407.21783 • Published Jul 31 • 103

upvoted 2 papers 4 months ago

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31 • 63

Phased Consistency Model

Paper • 2405.18407 • Published May 28 • 46

upvoted a paper 5 months ago

LoRA Learns Less and Forgets Less

Paper • 2405.09673 • Published May 15 • 87

upvoted 6 papers 9 months ago

Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18 • 15

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Paper • 2401.09417 • Published Jan 17 • 58

Scalable Pre-training of Large Autoregressive Image Models

Paper • 2401.08541 • Published Jan 16 • 35

Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM

Paper • 2401.02994 • Published Jan 4 • 47

Denoising Vision Transformers

Paper • 2401.02957 • Published Jan 5 • 27

COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training

Paper • 2401.00849 • Published Jan 1 • 14

upvoted 2 papers 10 months ago

TinySAM: Pushing the Envelope for Efficient Segment Anything Model

Paper • 2312.13789 • Published Dec 21, 2023 • 13

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Paper • 2312.11514 • Published Dec 12, 2023 • 257

upvoted a paper 11 months ago

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks

Paper • 2310.19909 • Published Oct 30, 2023 • 20

upvoted a paper 12 months ago

Vision Transformers Need Registers

Paper • 2309.16588 • Published Sep 28, 2023 • 77