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09/13/2023
Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics
Although Deep Reinforcement Learning (DRL) has achieved notable success ...
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08/25/2023
Residual Denoising Diffusion Models
Current diffusion-based image restoration methods feed degraded input im...
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07/27/2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Prompt tuning and adapter tuning have shown great potential in transferr...
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06/28/2023
Knowledge-Enhanced Hierarchical Information Correlation Learning for Multi-Modal Rumor Detection
The explosive growth of rumors with text and images on social media plat...
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05/05/2023
Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge
Fine-tuning pre-trained language models (PLMs), e.g., SciBERT, generally...
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05/02/2023
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Program synthesis has been long studied with recent approaches focused o...
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04/19/2023
Post-Training Quantization for Object Detection
Efficient inference for object detection networks is a major challenge o...
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04/18/2023
NPS: A Framework for Accurate Program Sampling Using Graph Neural Network
With the end of Moore's Law, there is a growing demand for rapid archite...
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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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04/02/2023
Abnormal Event Detection via Hypergraph Contrastive Learning
Abnormal event detection, which refers to mining unusual interactions am...
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03/29/2023
Sounding Video Generator: A Unified Framework for Text-guided Sounding Video Generation
As a combination of visual and audio signals, video is inherently multi-...
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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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02/08/2023
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving
Recent years have witnessed huge successes in 3D object detection to rec...
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02/04/2023
NeuRI: Diversifying DNN Generation via Inductive Rule Inference
Deep Learning (DL) is prevalently used in various industries to improve ...
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01/24/2023
Is This Abstract Generated by AI? A Research for the Gap between AI-generated Scientific Text and Human-written Scientific Text
BACKGROUND: Recent neural language models have taken a significant step ...
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12/14/2022
PD-Quant: Post-Training Quantization based on Prediction Difference Metric
As a neural network compression technique, post-training quantization (P...
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09/14/2022
Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models
Neural text ranking models have witnessed significant advancement and ar...
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07/26/2022
Finding Deep-Learning Compilation Bugs with NNSmith
Deep-learning (DL) compilers such as TVM and TensorRT are increasingly u...
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06/13/2022
Improve Ranking Correlation of Super-net through Training Scheme from One-shot NAS to Few-shot NAS
The algorithms of one-shot neural architecture search(NAS) have been wid...
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06/10/2022
Label Noise-Resistant Mean Teaching for Weakly Supervised Fake News Detection
Fake news spreads at an unprecedented speed, reaches global audiences an...
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05/27/2022
Task-load-Aware Game-Theoretic Framework for Wireless Federated Learning
Federated learning (FL) has been proposed as a popular learning framewor...
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03/03/2022
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification
RGB-infrared person re-identification is an emerging cross-modality re-i...
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03/03/2022
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification
Generalizable person re-identification aims to learn a model with only s...
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11/27/2021
Calibrated Feature Decomposition for Generalizable Person Re-Identification
Existing disentangled-based methods for generalizable person re-identifi...
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11/19/2021
Enhanced countering adversarial attacks via input denoising and feature restoring
Despite the fact that deep neural networks (DNNs) have achieved prominen...
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09/17/2021
A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis
Chatbot is increasingly thriving in different domains, however, because ...
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08/26/2021
Fast and Flexible Human Pose Estimation with HyperPose
Estimating human pose is an important yet challenging task in multimedia...
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08/25/2021
Evaluating Effects of Background Stories on Graph Perception
A graph is an abstract model that represents relations among entities, f...
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07/31/2021
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification
Occluded person re-identification (ReID) aims to match person images wit...
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06/22/2021
Confidence-Aware Learning for Camouflaged Object Detection
Confidence-aware learning is proven as an effective solution to prevent ...
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05/07/2021
Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
Although existing person re-identification (Re-ID) methods have shown im...
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04/15/2021
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos
Video-based person re-identification aims to match pedestrians from vide...
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04/15/2021
Learning structure-aware semantic segmentation with image-level supervision
Compared with expensive pixel-wise annotations, image-level labels make ...
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03/04/2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Semi-supervised learning on graphs is an important problem in the machin...
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12/14/2020
Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff
Is chatbot able to completely replace the human agent? The short answer ...
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10/05/2020
Automatic label correction based on CCESD
In the computer-aided diagnosis of cervical precancerous lesions, it is ...
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09/09/2020
Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification
Video-based person re-identification aims to match a specific pedestrian...
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06/29/2020
Decorrelated Clustering with Data Selection Bias
Most of existing clustering algorithms are proposed without considering ...
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06/26/2020
Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications
We present a spectral co-design of a statistical multiple-input-multiple...
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05/06/2020
Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder
Regular expression is important for many natural language processing tas...
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04/10/2020
Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos
Person re-identification aims at identifying a certain pedestrian across...
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01/23/2019
Automated Essay Scoring based on Two-Stage Learning
Current state-of-art feature-engineered and end-to-end Automated Essay S...
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11/19/2018
CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification
Person re-identification aims to identify the same pedestrian across non...
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11/08/2018
A First Look at Deep Learning Apps on Smartphones
We are in the dawn of deep learning explosion for smartphones. To bridge...
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11/08/2018
When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning
Deep learning (DL) is a game-changing technique in mobile scenarios, as ...
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01/10/2017
