Výsledky vyhledávání - "Computing methodologies Artificial intelligence"

Code to Comment "Translation": Data, Metrics, Baselining & Evaluation Autor Gros, David, Sezhiyan, Hariharan, Devanbu, Prem, Yu, Zhou

“…The relationship of comments to code, and in particular, the task of generating useful comments given the code, has long been of interest. The earliest…”
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DM-Tune: Quantizing Diffusion Models with Mixture-of-Gaussian Guided Noise Tuning Autor Haghi, Pouya, Falahati, Ali, Azad, Zahra, Wu, Chunshu, Song, Ruibing, Liu, Chuan, Li, Ang, Geng, Tong

“…Diffusion models have become essential generative tools for tasks such as image generation, video creation, and inpainting, but their high computational and…”
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On-Device Unsupervised Image Segmentation Autor Yang, Junhuan, Sheng, Yi, Zhang, Yuzhou, Jiang, Weiwen, Yang, Lei

“…Along with the breakthrough of convolutional neural networks, in particular encoder-decoder and U-Net, learning-based segmentation has emerged in many research…”
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DAWN: Accelerating Point Cloud Object Detection via Object-Aware Partitioning and 3D Similarity-Based Filtering Autor Tang, Dongdong, Mao, Yu, Wang, Weilan, Guan, Nan, Kuo, Tei-Wei, Xue, Chun Jason

“…As a fundamental perception task, 3D point cloud detection has become essential for applications in autonomous driving and robotics. However, point cloud…”
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Modeling Programmer Attention as Scanpath Prediction Autor Bansal, Aakash, Su, Chia-Yi, Karas, Zachary, Zhang, Yifan, Huang, Yu, Li, Toby Jia-Jun, McMillan, Collin

“…This paper launches a new effort at modeling programmer attention by predicting eye movement scanpaths. Programmer attention refers to what information people…”
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DCDiff: Enhancing JPEG Compression via Diffusion-based DC Coefficients Estimation Autor Zhang, Ziyuan, Qiu, Han, Zhang, Tianwei, Chen, Bin, Zhang, Chao

“…JPEG is the most widely-used image compression method on low-cost cameras which cannot support learning-based compressors. One promising approach to enhance…”
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AASD: Accelerate Inference by Aligning Speculative Decoding in Multimodal Large Language Models Autor Yang, Chaoqun, Chen, Ran, Zhang, Muyang, Pang, Weiguang, Chen, Yuzhi, Xu, Rongtao, Fu, Kexue, Wang, Changwei, Gao, Longxiang

“…Multimodal Large Language Models (MLLMs) have achieved notable success in visual instruction tuning, yet their inference is time-consuming due to the…”
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SNAPPIX: Efficient-Coding-Inspired In-Sensor Compression for Edge Vision Autor Lin, Weikai, Ma, Tianrui, Boloor, Adith, Feng, Yu, Xing, Ruofan, Zhang, Xuan, Zhu, Yuhao

“…Energy-efficient image acquisition on the edge is crucial for enabling remote sensing applications where the sensor node has weak compute capabilities and must…”
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PETRI: Reducing Bandwidth Requirement in Smart Surveillance by Edge-Cloud Collaborative Adaptive Frame Clustering and Pipelined Bidirectional Tracking Autor Liu, Ruoyang, Zhang, Lu, Wang, Jingyu, Yang, Huazhong, Liu, Yongpan

“…Neural networks running on cloud servers have been widely used in smart surveillance, but they require high bandwidth to upload videos. Edge-cloud…”
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TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers Autor Ho, Nguyen-Dong, Chang, Ik-Joon

“…Spiking-neural-networks (SNNs) are promising at edge devices since the event-driven operations of SNNs provides significantly lower power compared to…”
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Log Parsing: How Far Can ChatGPT Go? Autor Le, Van-Hoang, Zhang, Hongyu

“…Software logs play an essential role in ensuring the reliability and maintainability of large-scale software systems, as they are often the sole source of…”
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Unleashing the True Potential of Semantic-Based Log Parsing with Pre-Trained Language Models Autor Le, Van-Hoang, Xiao, Yi, Zhang, Hongyu

“…Software-intensive systems often produce console logs for troubleshooting purposes. Log parsing, which aims at parsing a log message into a specific log…”
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Code Difference Guided Adversarial Example Generation for Deep Code Models Autor Tian, Zhao, Chen, Junjie, Jin, Zhi

“…Adversarial examples are important to test and enhance the robustness of deep code models. As source code is discrete and has to strictly stick to complex…”
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Perspective Multi-Player Games Autor Kupferman, Orna, Shenwald, Noam

“…Perspective games model multi-agent systems in which agents can view only the parts of the system that they own. Unlike the observation-based model of partial…”
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Late Breaking Results: Less Sense Makes More Sense: In-Sensor Compressive Learning for Efficient Machine Vision Autor Liang, Yiwen, Cao, Weidong

“…Integrating deep learning and image sensors has significantly transformed machine vision applications. Yet, conventional highresolution image acquisition…”
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Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision Autor Zhu, Yuhao, Samajdar, Anand, Mattina, Matthew, Whatmough, Paul

“…Continuous computer vision (CV) tasks increasingly rely on convolutional neural networks (CNN). However, CNNs have massive compute demands that far exceed the…”
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Automatically Generating Content for Testing Autonomous Vehicles from User Descriptions Autor Steininger, Benedikt, Papamichail, Chrysanthi, Stark, David, Nickovic, Dejan, Gambi, Alessio

“…Testing autonomous vehicles (AV) software, which is currently done using simulations, requires the availability of various content, such as terrains and maps,…”
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Studying Programmers Without Programming: Investigating Expertise Using Resting State fMRI Autor Karas, Zachary, Gold, Benjamin, Zhou, Violet, Reardon, Noah, Polk, Thad, Chang, Catie, Huang, Yu

“…Expert programmers are more effective at coding activities, but the reasons for this remain elusive. Accordingly, recent research has used neuroimaging such as…”
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Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks Autor Mastropaolo, Antonio, Scalabrino, Simone, Cooper, Nathan, Nader Palacio, David, Poshyvanyk, Denys, Oliveto, Rocco, Bavota, Gabriele

“…Deep learning (DL) techniques are gaining more and more attention in the software engineering community. They have been used to support several code-related…”
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FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control Autor Ye, Yutong, Zhao, Wupan, Wei, Tongquan, Hu, Shiyan, Chen, Mingsong

“…Although Reinforcement Learning (RL) has been successfully applied in traffic control, it suffers from the problems of high average vehicle travel time and…”
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