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09/21/2023
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
We present LongLoRA, an efficient fine-tuning approach that extends the ...
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06/01/2023
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Large language models (LLMs) have shown excellent performance on various...
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03/30/2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
High-resolution images enable neural networks to learn richer visual rep...
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01/20/2023
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
Transformer, as an alternative to CNN, has been proven effective in many...
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10/19/2022
End-to-End Entity Detection with Proposer and Regressor
Named entity recognition is a traditional task in natural language proce...
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10/19/2022
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition
Named entity recognition is a fundamental task in natural language proce...
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05/26/2022
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Multi-sensor fusion is essential for an accurate and reliable autonomous...
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04/25/2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
3D neural networks are widely used in real-world applications (e.g., AR/...
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04/25/2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Deep neural networks (DNNs) have achieved unprecedented success in the f...
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04/21/2022
TorchSparse: Efficient Point Cloud Inference Engine
Deep learning on point clouds has received increased attention thanks to...
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10/14/2021
PointAcc: Efficient Point Cloud Accelerator
Deep learning on point clouds plays a vital role in a wide range of appl...
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07/31/2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Self-driving cars need to understand 3D scenes efficiently and accuratel...
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07/08/2019
