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08/02/2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
While language-guided image manipulation has made remarkable progress, t...
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06/26/2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
Deploying pre-trained transformer models like BERT on downstream tasks i...
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06/16/2023
Full Parameter Fine-tuning for Large Language Models with Limited Resources
Large Language Models (LLMs) have revolutionized Natural Language Proces...
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06/13/2023
Don't Leak Your Keys: Understanding, Measuring, and Exploiting the AppSecret Leaks in Mini-Programs
Mobile mini-programs in WeChat have gained significant popularity since ...
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06/13/2023
SoK: Decoding the Super App Enigma: The Security Mechanisms, Threats, and Trade-offs in OS-alike Apps
The super app paradigm, exemplified by platforms such as WeChat and AliP...
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06/05/2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Pronunciation assessment is a major challenge in the computer-aided pron...
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05/31/2023
Accurate and Structured Pruning for Efficient Automatic Speech Recognition
Automatic Speech Recognition (ASR) has seen remarkable advancements with...
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05/30/2023
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
Recent works have introduced Abstract Meaning Representation (AMR) for D...
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05/11/2023
EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention
Vision transformers have shown great success due to their high model cap...
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03/17/2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
Neural Architecture Search (NAS) has shown promising performance in the ...
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03/15/2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
The combination of Neural Architecture Search (NAS) and quantization has...
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02/27/2023
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
Monitoring and analyzing stereotypical behaviours is important for early...
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01/29/2023
Towards Inference Efficient Deep Ensemble Learning
Ensemble methods can deliver surprising performance gains but also bring...
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01/26/2023
SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation
Due to its high cost-effectiveness, sparsity has become the most importa...
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12/16/2022
Attentive Mask CLIP
Image token removal is an efficient augmentation strategy for reducing t...
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10/28/2022
DORE: Document Ordered Relation Extraction based on Generative Framework
In recent years, there is a surge of generation-based information extrac...
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10/12/2022
Reinforcement Learning with Automated Auxiliary Loss Search
A good state representation is crucial to solving complicated reinforcem...
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03/16/2022
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Despite the impressive progress of general face detection, the tuning of...
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11/16/2021
Towards Generating Real-World Time Series Data
Time series data generation has drawn increasing attention in recent yea...
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08/30/2021
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision
The energy consumption of deep learning models is increasing at a breath...
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08/06/2021
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
Architecture performance predictors have been widely used in neural arch...
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12/15/2020
SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network method
Recent years have witnessed the rapid growth of Small Private Online Cou...
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10/25/2019