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07/20/2023
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
Mixed-Precision Quantization (MQ) can achieve a competitive accuracy-com...
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05/22/2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
Text classification tasks often encounter few shot scenarios with limite...
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01/24/2023
Progressive Meta-Pooling Learning for Lightweight Image Classification Model
Practical networks for edge devices adopt shallow depth and small convol...
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01/24/2023
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies
Neural architecture search (NAS) has made tremendous progress in the aut...
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12/28/2022
OVO: One-shot Vision Transformer Search with Online distillation
Pure transformers have shown great potential for vision tasks recently. ...
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09/16/2022
ConvFormer: Closing the Gap Between CNN and Vision Transformers
Vision transformers have shown excellent performance in computer vision ...
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08/23/2022
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
This paper reviews the Challenge on Super-Resolution of Compressed Image...
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06/27/2022
Prior-Guided One-shot Neural Architecture Search
Neural architecture search methods seek optimal candidates with efficien...
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04/14/2022
Learning Convolutional Neural Networks in the Frequency Domain
Convolutional neural network (CNN) has achieved impressive success in co...
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03/08/2022
UENAS: A Unified Evolution-based NAS Framework
Neural architecture search (NAS) has gained significant attention for au...
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05/29/2020
Fixed-size Objects Encoding for Visual Relationship Detection
In this paper, we propose a fixed-size object encoding method (FOE-VRD) ...
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08/28/2019
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control
The development of intelligent traffic light control systems is essentia...
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11/16/2018
