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09/19/2023
Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training
In this work, we introduce the concept of complex text style transfer ta...
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08/26/2023
Packet Header Recognition Utilizing an All-Optical Reservoir Based on Reinforcement-Learning-Optimized Double-Ring Resonator
Optical packet header recognition is an important signal processing task...
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08/07/2023
LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning
The low-rank adaptation (LoRA) method can largely reduce the amount of t...
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08/04/2023
Eva: A General Vectorized Approximation Framework for Second-order Optimization
Second-order optimization algorithms exhibit excellent convergence prope...
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06/15/2023
Evaluation and Optimization of Gradient Compression for Distributed Deep Learning
To accelerate distributed training, many gradient compression methods ha...
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05/28/2023
Range-Based Equal Error Rate for Spoof Localization
Spoof localization, also called segment-level detection, is a crucial ta...
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05/27/2023
A Diffusion Model for Event Skeleton Generation
Event skeleton generation, aiming to induce an event schema skeleton gra...
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04/25/2023
Detection of Pavement Cracks by Deep Learning Models of Transformer and UNet
Fracture is one of the main failure modes of engineering structures such...
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04/14/2023
H2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces
Temporal heterogeneous information network (temporal HIN) embedding, aim...
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03/09/2023
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
It is widely agreed that reference-based super-resolution (RefSR) achiev...
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03/06/2023
Artificial Intelligence: 70 Years Down the Road
Artificial intelligence (AI) has a history of nearly a century from its ...
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02/24/2023
Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning
Communication scheduling has been shown to be effective in accelerating ...
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02/21/2023
Unpaired Translation from Semantic Label Maps to Images by Leveraging Domain-Specific Simulations
Photorealistic image generation from simulated label maps are necessitat...
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12/24/2022
A Large-scale Friend Suggestion Architecture
Online social as an extension of traditional life plays an important rol...
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12/24/2022
Unsupervised Instance and Subnetwork Selection for Network Data
Unlike tabular data, features in network data are interconnected within ...
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11/21/2022
Margin-closed vector autoregressive time series models
Conditions are obtained for a Gaussian vector autoregressive time series...
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11/08/2022
RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection
Reference-based image super-resolution (RefSR) is a promising SR branch ...
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10/16/2022
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective
We propose a new paradigm for zero-shot learners that is format agnostic...
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10/10/2022
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
As the categories of named entities rapidly increase in real-world appli...
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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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06/30/2022
Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning
The second-order optimization methods, notably the D-KFAC (Distributed K...
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06/09/2022
SsciBERT: A Pre-trained Language Model for Social Science Texts
The academic literature of social sciences is the literature that record...
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06/06/2022
WHU-Stereo: A Challenging Benchmark for Stereo Matching of High-Resolution Satellite Images
Stereo matching of high-resolution satellite images (HRSI) is still a fu...
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04/18/2022
Multi-task Deep Neural Networks for Massive MIMO CSI Feedback
Deep learning has been widely applied for the channel state information ...
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04/11/2022
The PartialSpoof Database and Countermeasures for the Detection of Short Generated Audio Segments Embedded in a Speech Utterance
Automatic speaker verification is susceptible to various manipulations a...
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04/10/2022
Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching
The expansion of renewable energy could help realizing the goals of peak...
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03/17/2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
Federated Learning (FL) is an emerging distributed learning paradigm und...
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03/17/2022
TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding
Speaker embedding is an important front-end module to explore discrimina...
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03/04/2022
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool System
Stable and accurate electroencephalogram (EEG) signal acquisition is fun...
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03/01/2022
T^3OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area
Smart Internet of Vehicles (IoVs) combined with Artificial Intelligence ...
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02/28/2022
Changeable Rate and Novel Quantization for CSI Feedback Based on Deep Learning
Deep learning (DL)-based channel state information (CSI) feedback improv...
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02/01/2022
A discussion of measuring the top-1 percent most-highly cited publications: Quality and impact of Chinese papers
The top 1 percent most highly cited articles are watched closely as the ...
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12/11/2021
A General Auxiliary Controller for Multi-agent Flocking
We aim to improve the performance of multi-agent flocking behavior by qu...
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11/25/2021
Learning from Temporal Gradient for Semi-supervised Action Recognition
Semi-supervised video action recognition tends to enable deep neural net...
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10/26/2021
CS-Rep: Making Speaker Verification Networks Embracing Re-parameterization
Automatic speaker verification (ASV) systems, which determine whether tw...
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08/24/2021
Maximum Likelihood Estimation for Multimodal Learning with Missing Modality
Multimodal learning has achieved great successes in many scenarios. Comp...
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08/12/2021
MT-ORL: Multi-Task Occlusion Relationship Learning
Retrieving occlusion relation among objects in a single image is challen...
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08/11/2021
Bayesian functional graphical models
We develop a Bayesian graphical modeling framework for functional data f...
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08/09/2021
A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles
Federated Deep Learning (FDL) is helping to realize distributed machine ...
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07/29/2021
Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection
In this paper, we provide a series of multi-tasking benchmarks for simul...
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07/20/2021
Edge of chaos as a guiding principle for modern neural network training
The success of deep neural networks in real-world problems has prompted ...
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07/14/2021
Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks
Distributed training with synchronous stochastic gradient descent (SGD) ...
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07/02/2021
How Incomplete is Contrastive Learning? An Inter-intra Variant Dual Representation Method for Self-supervised Video Recognition
Contrastive learning applied to self-supervised representation learning ...
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06/25/2021
Temporal Graph Signal Decomposition
Temporal graph signals are multivariate time series with individual comp...
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06/12/2021
A One-Shot Texture-Perceiving Generative Adversarial Network for Unsupervised Surface Inspection
Visual surface inspection is a challenging task owing to the highly dive...
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05/05/2021
Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection
Intelligent Transportation System (ITS) has become one of the essential ...
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04/28/2021
Causal Discovery of Flight Service Process Based on Event Sequence
The development of the civil aviation industry has continuously increase...
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04/06/2021
An Initial Investigation for Detecting Partially Spoofed Audio
All existing databases of spoofed speech contain attack data that is spo...
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04/03/2021
A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn
Pursuit-evasion games are ubiquitous in nature and in an artificial worl...
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03/27/2021
