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08/22/2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging
Fast Adversarial Training (FAT) not only improves the model robustness b...
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07/24/2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
Practical object detection application can lose its effectiveness on ima...
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07/24/2023
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training
Developing a practically-robust automatic speech recognition (ASR) is ch...
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07/19/2023
CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility
With the rapid evolution of large language models (LLMs), there is a gro...
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04/14/2023
FairRec: Fairness Testing for Deep Recommender Systems
Deep learning-based recommender systems (DRSs) are increasingly and wide...
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03/30/2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
Recent studies have shown that higher accuracy on ImageNet usually leads...
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03/28/2023
TransAudio: Towards the Transferable Adversarial Audio Attack via Learning Contextualized Perturbations
In a transfer-based attack against Automatic Speech Recognition (ASR) sy...
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03/21/2023
Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems
With the development of deep learning technology, the facial manipulatio...
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02/14/2023
Anchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor Events
Delivering customer services through video communications has brought ne...
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01/23/2023
PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development
The field of Question Answering (QA) has made remarkable progress in rec...
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11/30/2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective
Out-Of-Distribution (OOD) detection has received broad attention over th...
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11/29/2022
Context-Aware Robust Fine-Tuning
Contrastive Language-Image Pre-trained (CLIP) models have zero-shot abil...
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10/28/2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese
Despite of the superb performance on a wide range of tasks, pre-trained ...
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10/09/2022
Boosting Out-of-distribution Detection with Typical Features
Out-of-distribution (OOD) detection is a critical task for ensuring the ...
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09/16/2022
Enhance the Visual Representation via Discrete Adversarial Training
Adversarial Training (AT), which is commonly accepted as one of the most...
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07/11/2022
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification
Imbalanced training data is a significant challenge for medical image cl...
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04/20/2022
Synthetic Target Domain Supervision for Open Retrieval QA
Neural passage retrieval is a new and promising approach in open retriev...
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09/10/2021
Counterfactual Adversarial Learning with Representation Interpolation
Deep learning models exhibit a preference for statistical fitting over l...
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06/25/2021
Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval
Cross-modal retrieval aims to enable flexible retrieval experience by co...
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02/23/2021
Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation
Despite that deep neural networks (DNNs) have achieved enormous success ...
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12/14/2020
The Open Brands Dataset: Unified brand detection and recognition at scale
Intellectual property protection(IPP) have received more and more attent...
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12/07/2020
The Fictitious Domain Method Based on Navier Slip Boundary Condition for Simulation of Flow-Particle Interaction
In this article, we develop a least–squares/fictitious domain method for...
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12/02/2020
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training
End-to-end question answering (QA) requires both information retrieval (...
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11/06/2020
Answer Span Correction in Machine Reading Comprehension
Answer validation in machine reading comprehension (MRC) consists of ver...
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10/12/2020
Multi-Stage Pre-training for Low-Resource Domain Adaptation
Transfer learning techniques are particularly useful in NLP tasks where ...
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09/07/2020
TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Group
Tax evasion is a serious economic problem for many countries, as it can ...
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12/16/2019
Lauca: Generating Application-Oriented Synthetic Workloads
The synthetic workload is essential and critical to the performance eval...
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11/08/2019
The TechQA Dataset
We introduce TechQA, a domain-adaptation question answering dataset for ...
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09/07/2019
Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms
With increasing popularity in online learning, a surge of E-learning pla...
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06/02/2019
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network
High accuracy video label prediction (classification) models are attribu...
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03/28/2019
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation
Liver lesion segmentation is a difficult yet critical task for medical i...
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01/23/2019
AADS: Augmented Autonomous Driving Simulation using Data-driven Algorithms
Simulation systems have become an essential component in the development...
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01/20/2019
Deep Features Analysis with Attention Networks
Deep neural network models have recently draw lots of attention, as it c...
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11/14/2018
Mathematical Modeling of Arterial Blood Pressure Using Photo-Plethysmography Signal in Breath-hold Maneuver
Recent research has shown that each apnea episode results in a significa...
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11/14/2018
Arterial Blood Pressure Feature Estimation Using Photoplethysmography
Continuous and noninvasive monitoring of blood pressure has numerous cli...
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07/17/2018
Regularized Zero-Forcing Precoding Aided Adaptive Coding and Modulation for Large-Scale Antenna Array Based Air-to-Air Communications
We propose a regularized zero-forcing transmit precoding (RZF-TPC) aided...
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06/15/2018
Differential Evolution Algorithm Aided Turbo Channel Estimation and Multi-User Detection for G.Fast Systems in the Presence of FEXT
The ever-increasing demand for broadband Internet access has motivated t...
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04/05/2018
Review of Deep Learning
In recent years, China, the United States and other countries, Google an...
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11/25/2017
Adaptive Coding and Modulation for Large-Scale Antenna Array Based Aeronautical Communications in the Presence of Co-channel Interference
In order to meet the demands of `Internet above the clouds', we propose ...
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11/22/2017
