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09/02/2023
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency
The task of shape abstraction with semantic part consistency is challeng...
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08/25/2023
Network Embedding Using Sparse Approximations of Random Walks
In this paper, we propose an efficient numerical implementation of Netwo...
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07/25/2023
A Pairwise Dataset for GUI Conversion and Retrieval between Android Phones and Tablets
With the popularity of smartphones and tablets, users have become accust...
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06/30/2023
TransDetector: A Transformer-Based Detector for Underwater Acoustic Differential OFDM Communications
Inter-carrier interference (ICI) and noise mitigation is crucial for pre...
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06/08/2023
Improving Negative-Prompt Inversion via Proximal Guidance
DDIM inversion has revealed the remarkable potential of real image editi...
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06/04/2023
Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning
A major enduring focus of clinical workflows is disease analytics and di...
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03/23/2023
Improving Generalization with Domain Convex Game
Domain generalization (DG) tends to alleviate the poor generalization ca...
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03/16/2023
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning
Prototype, as a representation of class embeddings, has been explored to...
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08/30/2022
You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms
Benefiting from the search efficiency, differentiable neural architectur...
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06/01/2022
Multi-scale frequency separation network for image deblurring
Image deblurring aims to restore the detailed texture information or str...
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03/27/2022
Causality Inspired Representation Learning for Domain Generalization
Domain generalization (DG) is essentially an out-of-distribution problem...
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03/21/2022
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
Combining information from multi-view images is crucial to improve the p...
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02/28/2022
A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks
Transformers have emerged to be successful in a number of natural langua...
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02/24/2022
Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling
Recent works reveal that re-calibrating the intermediate activation of a...
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01/19/2022
FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
Convolutional Neural Networks (CNNs) demonstrate great performance in va...
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01/19/2022
CyberRadar: A PUF-based Detecting and Mapping Framework for Physical Devices
The core issue of cyberspace detecting and mapping is to accurately iden...
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12/08/2021
Pareto Domain Adaptation
Domain adaptation (DA) attempts to transfer the knowledge from a labeled...
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12/06/2021
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs
In this paper, we focus on learning effective entity matching models ove...
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03/11/2021
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search
In this paper, we present a novel multi-objective hardware-aware neural ...
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11/25/2020
Bringing AI To Edge: From Deep Learning's Perspective
Edge computing and artificial intelligence (AI), especially deep learnin...
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10/29/2020
Identifying Transition States of Chemical Kinetic Systems using Network Embedding Techniques
Using random walk sampling methods for feature learning on networks, we ...
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07/17/2020
A fast approximate skeleton with guarantees for any cloud of points in a Euclidean space
The tree reconstruction problem is to find an embedded straight-line tre...
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03/28/2020
Energy-Aware Offloading in Time-Sensitive Networks with Mobile Edge Computing
Mobile Edge Computing (MEC) enables rich services in close proximity to ...
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08/17/2018
The Function Transformation Omics - Funomics
There are no two identical leaves in the world, so how to find effective...
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05/04/2016
