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DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 86 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 109 -
BitNet b1.58 2B4T Technical Report
Paper • 2504.12285 • Published • 74 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2006.11239
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Improved Denoising Diffusion Probabilistic Models
Paper • 2102.09672 • Published • 2 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 5 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4 -
Diffusion Models Beat GANs on Image Synthesis
Paper • 2105.05233 • Published • 2
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AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Paper • 2309.16414 • Published • 19 -
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model
Paper • 2309.13018 • Published • 9 -
Robust Speech Recognition via Large-Scale Weak Supervision
Paper • 2212.04356 • Published • 36 -
Language models in molecular discovery
Paper • 2309.16235 • Published • 10
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Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 17 -
Step-by-Step Diffusion: An Elementary Tutorial
Paper • 2406.08929 • Published • 3 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 5 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4
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Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 18 -
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Paper • 2311.15127 • Published • 14 -
Learning Transferable Visual Models From Natural Language Supervision
Paper • 2103.00020 • Published • 17 -
U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper • 1505.04597 • Published • 11
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Understanding Diffusion Models: A Unified Perspective
Paper • 2208.11970 • Published -
Tutorial on Diffusion Models for Imaging and Vision
Paper • 2403.18103 • Published • 2 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 5 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4
-
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 86 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 109 -
BitNet b1.58 2B4T Technical Report
Paper • 2504.12285 • Published • 74 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 25
-
Improved Denoising Diffusion Probabilistic Models
Paper • 2102.09672 • Published • 2 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 5 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4 -
Diffusion Models Beat GANs on Image Synthesis
Paper • 2105.05233 • Published • 2
-
Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 17 -
Step-by-Step Diffusion: An Elementary Tutorial
Paper • 2406.08929 • Published • 3 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 5 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4
-
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 18 -
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Paper • 2311.15127 • Published • 14 -
Learning Transferable Visual Models From Natural Language Supervision
Paper • 2103.00020 • Published • 17 -
U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper • 1505.04597 • Published • 11
-
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Paper • 2309.16414 • Published • 19 -
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model
Paper • 2309.13018 • Published • 9 -
Robust Speech Recognition via Large-Scale Weak Supervision
Paper • 2212.04356 • Published • 36 -
Language models in molecular discovery
Paper • 2309.16235 • Published • 10
-
Understanding Diffusion Models: A Unified Perspective
Paper • 2208.11970 • Published -
Tutorial on Diffusion Models for Imaging and Vision
Paper • 2403.18103 • Published • 2 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 5 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4