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09/06/2023
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
As the size of large language models (LLMs) continues to grow, model com...
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08/30/2023
FPTQ: Fine-grained Post-Training Quantization for Large Language Models
In the era of large-scale language models, the substantial parameter siz...
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02/01/2023
EfficientRep:An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design
We present a hardware-efficient architecture of convolutional neural net...
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01/13/2023
YOLOv6 v3.0: A Full-Scale Reloading
The YOLO community has been in high spirits since our first two releases...
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12/03/2022
Make RepVGG Greater Again: A Quantization-aware Approach
The tradeoff between performance and inference speed is critical for pra...
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10/01/2022
EAPruning: Evolutionary Pruning for Vision Transformers and CNNs
Structured pruning greatly eases the deployment of large neural networks...
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09/07/2022
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
For years, the YOLO series has been the de facto industry-level standard...
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05/27/2022
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images
We present a simple yet effective fully convolutional one-stage 3D objec...
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09/30/2021
DAAS: Differentiable Architecture and Augmentation Policy Search
Neural architecture search (NAS) has been an active direction of automat...
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09/29/2021
CCTrans: Simplifying and Improving Crowd Counting with Transformer
Most recent methods used for crowd counting are based on the convolution...
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04/28/2021
Twins: Revisiting Spatial Attention Design in Vision Transformers
Very recently, a variety of vision transformer architectures for dense p...
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02/22/2021
Do We Really Need Explicit Position Encodings for Vision Transformers?
Almost all visual transformers such as ViT or DeiT rely on predefined po...
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11/26/2020
Beyond Single Instance Multi-view Unsupervised Representation Learning
Recent unsupervised contrastive representation learning follows a Single...
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11/23/2020
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation
Single-path based differentiable neural architecture search has great st...
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09/08/2020
AutoKWS: Keyword Spotting with Differentiable Architecture Search
Smart audio devices are gated by an always-on lightweight keyword spotti...
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09/02/2020
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Despite the fast development of differentiable architecture search (DART...
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05/07/2020
Noisy Differentiable Architecture Search
Simplicity is the ultimate sophistication. Differentiable Architecture S...
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01/16/2020
MixPath: A Unified Approach for One-shot Neural Architecture Search
The expressiveness of search space is a key concern in neural architectu...
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12/30/2019
Neural Architecture Search on Acoustic Scene Classification
Convolutional neural networks are widely adopted in Acoustic Scene Class...
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11/27/2019
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
Differential Architecture Search (DARTS) is now a widely disseminated we...
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08/16/2019
ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search
One-shot neural architecture search features fast training of a supernet...
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08/04/2019
MoGA: Searching Beyond MobileNetV3
The evolution of MobileNets has laid a solid foundation for neural netwo...
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07/03/2019
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
The ability to rank models by its real strength is the key to Neural Arc...
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03/19/2019
A Matrix-in-matrix Neural Network for Image Super Resolution
In recent years, deep learning methods have achieved impressive results ...
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01/22/2019
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
Deep convolution neural networks demonstrate impressive results in super...
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01/04/2019
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search
Fabricating neural models for a wide range of mobile devices demands for...
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11/30/2018
Improved Crowding Distance for NSGA-II
Non-dominated sorting genetic algorithm II (NSGA-II) does well in dealin...
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07/02/2018
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
This paper proposes a first order gradient reinforcement learning algori...
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10/01/2017
