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aMUSEd: An Open MUSE Reproduction
Paper • 2401.01808 • Published • 27 -
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models
Paper • 2401.05252 • Published • 43 -
Scalable Pre-training of Large Autoregressive Image Models
Paper • 2401.08541 • Published • 35 -
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Paper • 2401.09417 • Published • 52
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Collections including paper arxiv:2401.09417
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 132 -
SparQ Attention: Bandwidth-Efficient LLM Inference
Paper • 2312.04985 • Published • 35 -
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
Paper • 2401.04658 • Published • 24 -
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
Paper • 2401.06951 • Published • 23
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Trellis Networks for Sequence Modeling
Paper • 1810.06682 • Published • 1 -
Pruning Very Deep Neural Network Channels for Efficient Inference
Paper • 2211.08339 • Published • 1 -
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch
Paper • 2309.14157 • Published • 1 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 132
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The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Paper • 2311.10093 • Published • 55 -
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
Paper • 2311.12229 • Published • 26 -
Diffusion Model Alignment Using Direct Preference Optimization
Paper • 2311.12908 • Published • 47 -
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
Paper • 2312.00845 • Published • 36
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The Impact of Depth and Width on Transformer Language Model Generalization
Paper • 2310.19956 • Published • 9 -
Retentive Network: A Successor to Transformer for Large Language Models
Paper • 2307.08621 • Published • 167 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 10 -
Attention Is All You Need
Paper • 1706.03762 • Published • 37