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08/21/2023
Privacy-Preserving Face Recognition Using Random Frequency Components
The ubiquitous use of face recognition has sparked increasing privacy co...
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04/03/2023
RPTQ: Reorder-based Post-training Quantization for Large Language Models
Large-scale language models (LLMs) have demonstrated outstanding perform...
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03/23/2023
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance
Post-training quantization (PTQ) is a popular method for compressing dee...
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02/24/2023
Towards Stable Test-Time Adaptation in Dynamic Wild World
Test-time adaptation (TTA) has shown to be effective at tackling distrib...
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08/11/2022
Quantized Adaptive Subgradient Algorithms and Their Applications
Data explosion and an increase in model size drive the remarkable advanc...
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07/15/2022
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain
Face recognition technology has been used in many fields due to its high...
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06/06/2022
Evaluation-oriented Knowledge Distillation for Deep Face Recognition
Knowledge distillation (KD) is a widely-used technique that utilizes lar...
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05/16/2022
Multi-scale Attention Flow for Probabilistic Time Series Forecasting
The probability prediction of multivariate time series is a notoriously ...
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04/06/2022
Efficient Test-Time Model Adaptation without Forgetting
Test-time adaptation (TTA) seeks to tackle potential distribution shifts...
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03/21/2022
Boost Test-Time Performance with Closed-Loop Inference
Conventional deep models predict a test sample with a single forward pro...
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01/24/2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery – A Focus on Affinity Prediction Problems with Noise Annotations
AI-aided drug discovery (AIDD) is gaining increasing popularity due to i...
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07/01/2021
AdaXpert: Adapting Neural Architecture for Growing Data
In real-world applications, data often come in a growing manner, where t...
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06/05/2021
Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations
Valuation problems, such as attribution-based feature interpretation, da...
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05/11/2021
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models
Accurate protein structure prediction from amino-acid sequences is criti...
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05/10/2021
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement
Proteins structure prediction has long been a grand challenge over the p...
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05/06/2021
Federated Face Recognition
Face recognition has been extensively studied in computer vision and art...
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03/31/2020
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
To satisfy the stringent requirements on computational resources in the ...
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03/29/2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Neural architecture search (NAS) has gained increasing attention in the ...
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11/21/2019
Few Shot Network Compression via Cross Distillation
Model compression has been widely adopted to obtain light-weighted deep ...
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11/22/2018
An Efficient Approach to Informative Feature Extraction from Multimodal Data
One primary focus in multimodal feature extraction is to find the repres...
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06/21/2018
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization
Large-scale distributed optimization is of great importance in various a...
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12/21/2015
