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09/20/2023
BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction
A recent sensor fusion in a Bird's Eye View (BEV) space has shown its ut...
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09/18/2023
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?
In continual learning (CL), an AI agent (e.g., autonomous vehicles or ro...
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09/04/2023
Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction
Existing frameworks for image stitching often provide visually reasonabl...
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09/04/2023
Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition
Trendy suggestions for learning-based elastic warps enable the deep imag...
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06/05/2023
Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context
Min-max routing problems aim to minimize the maximum tour length among a...
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06/05/2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
This paper proposes Meta-SAGE, a novel approach for improving the scalab...
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06/05/2023
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
We study the problem of optimizing biological sequences, e.g., proteins,...
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06/02/2023
Symmetric Exploration in Combinatorial Optimization is Free!
Recently, deep reinforcement learning (DRL) has shown promise in solving...
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04/04/2023
PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification
Modern data augmentation using a mixture-based technique can regularize ...
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12/12/2022
A Bargaining Game for Personalized, Energy Efficient Split Learning over Wireless Networks
Split learning (SL) is an emergent distributed learning framework which ...
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07/19/2022
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design
In this paper, a green, quantized FL framework, which represents data wi...
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07/02/2022
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics
Modern retrospective analytics systems leverage cascade architecture to ...
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06/14/2022
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation
Code generation is a longstanding challenge, aiming to generate a code s...
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05/26/2022
Collaborative Distillation Meta Learning for Simulation Intensive Hardware Design
This paper proposes a novel collaborative distillation meta learning (CD...
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03/29/2022
Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)
In this article, for the first time, we propose a transformer network-ba...
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11/15/2021
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks
Deploying federated learning (FL) over wireless networks with resource-c...
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10/26/2021
Learning Collaborative Policies to Solve NP-hard Routing Problems
Recently, deep reinforcement learning (DRL) frameworks have shown potent...
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08/10/2021
Learning Canonical 3D Object Representation for Fine-Grained Recognition
We propose a novel framework for fine-grained object recognition that le...
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02/18/2021
Latency Modeling of Hyperledger Fabric for Blockchain-enabled IoT Networks
Hyperledger Fabric (HLF), one of the most popular private blockchain pla...
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12/15/2020
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation
Existing techniques to adapt semantic segmentation networks across the s...
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06/04/2020
Is Blockchain Suitable for Data Freshness? – Age-of-Information Perspective
Recent advances in blockchain have led to a significant interest in deve...
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03/25/2020
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
Existing techniques to encode spatial invariance within deep convolution...
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07/03/2018
