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Collections including paper arxiv:2404.07200
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May 1
May 1
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MLP Can Be A Good Transformer Learner
Paper • 2404.05657 • Published • 1 -
Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective
Paper • 2404.07200 • Published • 1 -
An inclusive review on deep learning techniques and their scope in handwriting recognition
Paper • 2404.08011 • Published • 1 -
Long-form music generation with latent diffusion
Paper • 2404.10301 • Published • 24
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Aug 9
Aug 9
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Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
Paper • 2403.14551 • Published • 2 -
Adapting LLaMA Decoder to Vision Transformer
Paper • 2404.06773 • Published • 17 -
Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective
Paper • 2404.07200 • Published • 1 -
An inclusive review on deep learning techniques and their scope in handwriting recognition
Paper • 2404.08011 • Published • 1
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May 5
May 5
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Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 16 -
JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention
Paper • 2310.00535 • Published • 2 -
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla
Paper • 2307.09458 • Published • 10 -
The Impact of Depth and Width on Transformer Language Model Generalization
Paper • 2310.19956 • Published • 9
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Jul 3
Jul 3
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U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper • 1505.04597 • Published • 6 -
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Paper • 2310.16186 • Published • 2 -
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 -
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2