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08/23/2023
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
Knowledge base question answering (KBQA) is a critical yet challenging t...
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08/15/2023
Multi-view 3D Face Reconstruction Based on Flame
At present, face 3D reconstruction has broad application prospects in va...
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08/09/2023
StableVQA: A Deep No-Reference Quality Assessment Model for Video Stability
Video shakiness is an unpleasant distortion of User Generated Content (U...
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06/02/2023
Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today
Recent investigations show that large language models (LLMs), specifical...
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04/30/2023
Domain Agnostic Fourier Neural Operators
Fourier neural operators (FNOs) can learn highly nonlinear mappings betw...
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04/06/2023
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering
Question Answering (QA) is the task of automatically answering questions...
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03/23/2023
CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network
In this paper, we propose a novel representation for grasping using cont...
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03/23/2023
CP^3: Channel Pruning Plug-in for Point-based Networks
Channel pruning can effectively reduce both computational cost and memor...
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03/09/2023
Gauges and Accelerated Optimization over Smooth and/or Strongly Convex Sets
We consider feasibility and constrained optimization problems defined ov...
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12/29/2022
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation
Neural operators, which emerge as implicit solution operators of hidden ...
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12/20/2022
Toward a Unified Framework for Unsupervised Complex Tabular Reasoning
Structured tabular data exist across nearly all fields. Reasoning task o...
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08/29/2022
CAEN: A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment
Traditional recommendation systems mainly focus on modeling user interes...
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07/12/2022
Effective Few-Shot Named Entity Linking by Meta-Learning
Entity linking aims to link ambiguous mentions to their corresponding en...
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06/21/2022
An Automatic and Efficient BERT Pruning for Edge AI Systems
With the yearning for deep learning democratization, there are increasin...
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06/09/2022
A No-reference Quality Assessment Metric for Point Cloud Based on Captured Video Sequences
Point cloud is one of the most widely used digital formats of 3D models,...
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03/15/2022
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization
The IMPRESSIONS section of a radiology report about an imaging study is ...
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10/21/2021
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization
Deep convolutional neural networks are shown to be overkill with high pa...
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09/30/2021
Scalable Rule-Based Representation Learning for Interpretable Classification
Rule-based models, e.g., decision trees, are widely used in scenarios de...
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07/01/2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
There have been long-standing controversies and inconsistencies over the...
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06/16/2021
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI
Recent research demonstrated the promise of using resistive random acces...
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06/07/2021
Robotic Electrospinning Actuated by Non-Circular Joint Continuum Manipulator for Endoluminal Therapy
Electrospinning has exhibited excellent benefits to treat the trauma for...
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04/13/2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning
Graph neural networks (GNN) have been proven to be mature enough for han...
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03/22/2021
Enhancing the Generalization Performance and Speed Up Training for DRL-based Mapless Navigation
Training an agent to navigate with DRL is data-hungry, which requires mi...
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02/19/2021
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?
In deep model compression, the recent finding "Lottery Ticket Hypothesis...
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02/08/2021
Design of Polar Code Lattices of Small Dimension
Polar code lattices are formed from binary polar codes using Constructio...
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11/04/2020
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search
The convolutional neural network has achieved great success in fulfillin...
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10/20/2020
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point Based Approach
Deep reinforcement learning (DRL) demonstrates great potential in maples...
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06/11/2020
FBG-Based Triaxial Force Sensor Integrated with an Eccentrically Configured Imaging Probe for Endoluminal Optical Biopsy
Accurate force sensing is important for endoluminal intervention in term...
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02/15/2020
Map-less Navigation: A Single DRL-based Controller for Robots with Varied Dimensions
Deep reinforcement learning (DRL) has shown great potential in training ...
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12/10/2019
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Models with transparent inner structure and high classification performa...
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11/04/2019
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices
Deep neural networks (DNNs) have been expanded into medical fields and t...
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09/29/2019
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs
Deep neural networks (DNNs), as the basis of object detection, will play...
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09/10/2019
UPC: Learning Universal Physical Camouflage Attacks on Object Detectors
In this paper, we study physical adversarial attacks on object detectors...
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08/09/2019
Distinguishing Individual Red Pandas from Their Faces
Individual identification is essential to animal behavior and ecology re...
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07/22/2019
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology
The Adiabatic Quantum-Flux-Parametron (AQFP) superconducting technology ...
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07/06/2019
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Structured weight pruning is a representative model compression techniqu...
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07/06/2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Structured weight pruning is a representative model compression techniqu...
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06/27/2019
An Algorithm for Transmitting VR Video Based on Adaptive Modulation
Virtual reality (VR) is making waves around the world recently. However,...
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02/15/2019
Delay Outage Probability of Multi-relay Selection for Mobile Relay Edge Computing Systems
In this paper, we deal with the problem of relay selection in mobile edg...
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11/29/2018
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
We propose an attention-injective deformable convolutional network calle...
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09/11/2018
Danger-aware Weighted Advantage Composition of Deep Reinforcement Learning for Robot Navigation
Self-navigation, referring to automatically reaching the goal while avoi...
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03/28/2018
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs
Both industry and academia have extensively investigated hardware accele...
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02/02/2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks
Bayesian Neural Networks (BNNs) have been proposed to address the proble...
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01/28/2018
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data
This paper presents the first deep reinforcement learning (DRL) framewor...
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12/13/2017
FFT-Based Deep Learning Deployment in Embedded Systems
Deep learning has delivered its powerfulness in many application domains...
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08/29/2017
