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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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08/24/2023
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models
Despite tremendous advancements in bird's-eye view (BEV) perception, exi...
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07/09/2023
CA-CentripetalNet: A novel anchor-free deep learning framework for hardhat wearing detection
Automatic hardhat wearing detection can strengthen the safety management...
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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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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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11/23/2021
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
Simulation has the potential to transform the development of robust algo...
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08/26/2021
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Computer vision tasks such as object detection and semantic/instance seg...
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05/20/2021
Efficient and Robust LiDAR-Based End-to-End Navigation
Deep learning has been used to demonstrate end-to-end neural network lea...
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08/11/2020
Hardware-Centric AutoML for Mixed-Precision Quantization
Model quantization is a widely used technique to compress and accelerate...
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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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06/18/2020
Differentiable Augmentation for Data-Efficient GAN Training
The performance of generative adversarial networks (GANs) heavily deteri...
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06/15/2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
We present APQ for efficient deep learning inference on resource-constra...
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05/28/2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Transformers are ubiquitous in Natural Language Processing (NLP) tasks, ...
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04/24/2020
Lite Transformer with Long-Short Range Attention
Transformer has become ubiquitous in natural language processing (e.g., ...
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03/19/2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
Conditional Generative Adversarial Networks (cGANs) have enabled control...
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07/08/2019
Point-Voxel CNN for Efficient 3D Deep Learning
We present Point-Voxel CNN (PVCNN) for efficient, fast 3D deep learning....
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06/21/2019
Deep Leakage from Gradients
Exchanging gradients is a widely used method in modern multi-node machin...
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04/24/2019
Design Automation for Efficient Deep Learning Computing
Efficient deep learning computing requires algorithm and hardware co-des...
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03/12/2019
Unsupervised Discovery of Parts, Structure, and Dynamics
Humans easily recognize object parts and their hierarchical structure by...
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11/21/2018
HAQ: Hardware-Aware Automated Quantization
Model quantization is a widely used technique to compress and accelerate...
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09/13/2018
Physical Primitive Decomposition
Objects are made of parts, each with distinct geometry, physics, functio...
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12/31/2017
Machine Learning for Building Energy and Indoor Environment: A Perspective
Machine learning is a promising technique for many practical application...
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10/06/2017