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Collections including paper arxiv:2401.09417

Vision Foundation Models

aMUSEd: An Open MUSE Reproduction

Paper • 2401.01808 • Published Jan 3 • 27
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models

Paper • 2401.05252 • Published Jan 10 • 43
Scalable Pre-training of Large Autoregressive Image Models

Paper • 2401.08541 • Published Jan 16 • 35
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Paper • 2401.09417 • Published Jan 17 • 52

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 132
SparQ Attention: Bandwidth-Efficient LLM Inference

Paper • 2312.04985 • Published Dec 8, 2023 • 35
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models

Paper • 2401.04658 • Published Jan 9 • 24
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models

Paper • 2401.06951 • Published Jan 13 • 23

Trellis Networks for Sequence Modeling

Paper • 1810.06682 • Published Oct 15, 2018 • 1
Pruning Very Deep Neural Network Channels for Efficient Inference

Paper • 2211.08339 • Published Nov 14, 2022 • 1
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch

Paper • 2309.14157 • Published Sep 25, 2023 • 1
Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 132

The Chosen One: Consistent Characters in Text-to-Image Diffusion Models

Paper • 2311.10093 • Published Nov 16, 2023 • 55
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation

Paper • 2311.12229 • Published Nov 20, 2023 • 26
Diffusion Model Alignment Using Direct Preference Optimization

Paper • 2311.12908 • Published Nov 21, 2023 • 47
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models

Paper • 2312.00845 • Published Dec 1, 2023 • 36

LLM architecture

The Impact of Depth and Width on Transformer Language Model Generalization

Paper • 2310.19956 • Published Oct 30, 2023 • 9
Retentive Network: A Successor to Transformer for Large Language Models

Paper • 2307.08621 • Published Jul 17, 2023 • 167
RWKV: Reinventing RNNs for the Transformer Era

Paper • 2305.13048 • Published May 22, 2023 • 10
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 37

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