代码大模型 / AI 编程 - arXivDaily 专题

1909.01500 2019-09-25 cs.LG cs.AI 62%

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

Adam Stooke, Pieter Abbeel

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments v2: Updated learning curves for SAC and TD3, improved by bootstrapping value-function when trajectory ends due to time limit, and switching to newer SAC version, now referenced

1908.06376 2019-08-20 cs.LG cs.AI cs.NE stat.ML 62%

VUSFA:Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigation

Shamane Siriwardhana, Rivindu Weerasakera, Denys J. C. Matthies, Suranga Nanayakkara

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

1905.12730 2019-08-08 cs.LG cs.CL cs.DS stat.ML 62%

Recursive Sketches for Modular Deep Learning

Badih Ghazi, Rina Panigrahy, Joshua R. Wang

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.LG

Comments Published in ICML 2019

1907.09285 2019-07-23 cs.AI cs.LG cs.NE 62%

ParaFIS:A new online fuzzy inference system based on parallel drift anticipation

Clement Leroy, Eric Anquetil, Nathalie Girard

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Journal ref FUZZ-IEEE, Jun 2019, New Orleans, United States

1905.08392 2019-05-22 cs.LG cs.CL stat.ML 62%

A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks

Md Iftekhar Tanveer, Md Kamrul Hasan, Daniel Gildea, M. Ehsan Hoque

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.LG

1904.00935 2019-04-02 cs.LG cs.SE stat.ML 62%

STYLE-ANALYZER: fixing code style inconsistencies with interpretable unsupervised algorithms

Vadim Markovtsev, Waren Long, Hugo Mougard, Konstantin Slavnov, Egor Bulychev

专题命中仓库级理解：repository(abstract)；分类 cs.SE、cs.LG

Comments 10 pages; Mining Software Repositories 2019

1811.04234 2019-03-27 cs.LG cs.AI stat.ML 62%

Towards Formula Translation using Recursive Neural Networks

Felix Petersen, Moritz Schubotz, Bela Gipp

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments 11 pages, Work-in-Progress paper in CICM-WS 2018 Workshop Papers at 11th Conference on Intelligent Computer Mathematics CICM 2018

Journal ref Conference on Intelligent Computer Mathematics (CICM) 2018, CEUR-WS Vol-2307, WiP3

1901.08456 2019-01-25 cs.CL cs.LG 62%

Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks

Paul Azunre, Craig Corcoran, Numa Dhamani, Jeffrey Gleason, Garrett Honke, David Sullivan, Rebecca Ruppel, Sandeep Verma, Jonathon Morgan

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.LG

1808.00068 2018-11-26 cs.LG cs.AI stat.ML 62%

A Fuzzy-Rough based Binary Shuffled Frog Leaping Algorithm for Feature Selection

Javad Rahimipour Anaraki, Saeed Samet, Mahdi Eftekhari, Chang Wook Ahn

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments 24 pages, 11 Tables, 1 figure

1804.08902 2018-11-15 cs.SE cs.CR cs.DS cs.LG 62%

Learning Software Constraints via Installation Attempts

Ran Ben Basat, Maayan Goldstein, Itai Segall

专题命中仓库级理解：repository(abstract)；分类 cs.SE、cs.LG

1811.00631 2018-11-05 stat.ML cs.AI cs.LG 62%

MDFS - MultiDimensional Feature Selection

Radosław Piliszek, Krzysztof Mnich, Szymon Migacz, Paweł Tabaszewski, Andrzej Sułecki, Aneta Polewko-Klim, Witold Rudnicki

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments 12 pages, 3 figures, 5 tables, license: CC-BY

1801.05236 2018-08-23 cs.SE cs.CY cs.LG stat.ML 62%

MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data

Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan Baker

专题命中仓库级理解：repository(abstract)；分类 cs.SE、cs.LG

1806.01742 2018-06-18 cs.SE cs.CL 62%

Adapting Neural Text Classification for Improved Software Categorization

Alexander LeClair, Zachary Eberhart, Collin McMillan

专题命中仓库级理解：repository(abstract)；分类 cs.SE、cs.CL

1803.11002 2018-04-04 cs.LG cs.AI stat.ML 62%

Modified SMOTE Using Mutual Information and Different Sorts of Entropies

Sima Sharifirad, Azra Nazari, Mehdi Ghatee

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments 10 Pages, 4 Tables, 8 Figures, Extracted from an MSc project with Department of Computer Science, Amirkabir University of Technology, Tehran, Iran

1709.05262 2018-02-19 cs.AI cs.LG stat.ML 62%

Supervising Unsupervised Learning

Vikas K. Garg, Adam Kalai

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments 11 two column pages. arXiv admin note: substantial text overlap with arXiv:1612.09030

1704.01523 2017-04-06 cs.CL cs.AI cs.NE stat.ML 62%

MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks

Ji Young Lee, Franck Dernoncourt, Peter Szolovits

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.AI

Comments Accepted at SemEval 2017. The first two authors contributed equally to this work

1701.08124 2017-02-01 cs.PL cs.SE 62%

Relationship Maintenance in Software Language Repositories

Ralf Lämmel

专题命中仓库级理解：repository(abstract)；分类 cs.SE、cs.PL

Comments The Art, Science, and Engineering of Programming, Vol. 1, Issue 1, Article 4

Journal ref The Art, Science, and Engineering of Programming, 2017, Vol. 1, Issue 1, Article 4

1509.09149 2015-10-01 cs.SE cs.AI 62%

Knowledge-based system for collaborative process specification

Frederick Benaben, Vatcharaphun Rajsiri, Jean-Pierre Lorré, Hervé Pingaud

专题命中仓库级理解：repository(abstract)；分类 cs.SE、cs.AI

Comments \<10.1016/j.compind.2009.10.012\&gt

Journal ref Computers and Industrial Engineering, Elsevier, 2010, 61 (2), pp.161-175

1506.00935 2015-06-08 cs.LG cs.AI cs.IT math.IT 62%

Discovering Valuable Items from Massive Data

Hastagiri P. Vanchinathan, Andreas Marfurt, Charles-Antoine Robelin, Donald Kossmann, Andreas Krause

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

1110.0624 2011-10-05 cs.LO cs.AI cs.PL 62%

Autonomous Agents Coordination: Action Languages meet CLP(FD) and Linda

Agostino Dovier, Andrea Formisano, Enrico Pontelli

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.PL

1102.2739 2011-02-15 cs.CV cs.AI cs.LG cs.NE 62%

A General Framework for Development of the Cortex-like Visual Object Recognition System: Waves of Spikes, Predictive Coding and Universal Dictionary of Features

Sergey S. Tarasenko

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

1008.1394 2010-08-10 cs.IR cs.CL cs.SE 62%

Towards Design and Implementation of a Language Technology based Information Processor for PDM Systems

Zeeshan Ahmed, Saman Majeed, Thomas Dandekar

专题命中仓库级理解：repository(abstract)；分类 cs.SE、cs.CL

Journal ref IST Transactions of Information Technology- Theory and Applications, Vol. 1, No. 1 (2),ISSN 1913-8822, pp. 1-7, 2010

2602.20478 2026-02-25 cs.SE 61%

Codified Context: Infrastructure for AI Agents in a Complex Codebase

编译上下文：复杂代码库中AI代理的基础设施

Aristidis Vasilopoulos

专题命中仓库级理解：repository(abstract,comments)；分类 cs.SE

AI总结本文提出了一种编译上下文基础设施，通过编码约定、领域专家代理和知识库，提升大规模多代理项目中的代码一致性与可靠性。

Comments 9 pages, 4 figures, companion repository: https://github.com/arisvas4/codified-context-infrastructure, code DOI: 10.5281/zenodo.18746623

2510.10671 2026-01-21 cs.CV cs.AI 61%

Image-to-Video Transfer Learning based on Image-Language Foundation Models: A Comprehensive Survey

基于图像-语言基础模型的图像到视频迁移学习：全面综述

Jinxuan Li, Chaolei Tan, Haoxuan Chen, Jianxin Ma, Jian-Fang Hu, Jianhuang Lai, Wei-Shi Zheng

机构 * School of Computer Science and Engineering, Sun Yat-sen University（计算机科学与工程学院，中山大学）

专题命中仓库级理解：repository(abstract,comments)；分类 cs.AI

AI总结本文综述了基于图像-语言基础模型的图像到视频迁移学习，系统分类了现有技术并分析了其在视频-文本任务中的应用与挑战。

Comments Updated version, github repository is available at https://github.com/YuriPreisdent/awesome-image-to-video-transfer

2509.16972 2025-10-21 cs.CV cs.AI 61%

The 1st Solution for 7th LSVOS RVOS Track: SaSaSa2VA

Quanzhu Niu, Dengxian Gong, Shihao Chen, Tao Zhang, Yikang Zhou, Haobo Yuan, Lu Qi, Xiangtai Li, Shunping Ji

机构 * Wuhan University（武汉大学）； University of California, Merced（加州大学默塞德分校）； Nanyang Technological University（南洋理工大学）

专题命中仓库级理解：repository(abstract,comments)；分类 cs.AI

Comments The 1st place report of 7th LSVOS challenge RVOS track in ICCV 2025. The code is released in Sa2VA repository: https://github.com/bytedance/Sa2VA

1903.08950 2025-02-20 cs.SD cs.LG eess.AS eess.SP stat.ML 61%

Improving Machine Hearing on Limited Data Sets

Pavol Harar, Roswitha Bammer, Anna Breger, Monika Dörfler, Zdenek Smekal

专题命中仓库级理解：repository(abstract,comments)；分类 cs.LG

Comments 13 pages, 3 figures, 2 tables. Repository for reproducibility: https://gitlab.com/hararticles/gs-ms-mt/. Keywords: audio, CNN, limited data, Mel scattering, mel-spectrogram, augmented target loss function. Rewritten and restructured after peer revision. Recomputed and added new experiments and visualizations. Changed the presentation of the results

Journal ref 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 1-6. IEEE, 2019

2205.03612 2024-10-14 eess.SP cs.LG 61%

BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck

Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen

专题命中仓库级理解：repository(abstract,comments)；分类 cs.LG

Comments This paper is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), code is available at GitHub repository (https://github.com/SJYuCNEL/brain-and-Information-Bottleneck/)

2212.04481 2024-05-02 cs.SI cs.IR cs.LG 61%

A Survey of Graph Neural Networks for Social Recommender Systems

Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar

专题命中仓库级理解：repository(abstract,comments)；分类 cs.LG

Comments Published in ACM CSUR April 2024. GitHub repository with the curated list of papers: https://github.com/claws-lab/awesome-GNN-social-recsys

Journal ref ACM Comput. Surv. (April 2024)

2301.01642 2024-01-30 stat.ML cs.LG q-bio.NC 61%

CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis

Kaizhong Zheng, Shujian Yu, Badong Chen

专题命中仓库级理解：repository(abstract,comments)；分类 cs.LG

Comments Manuscript ia accepted by Neural Networks, The source code and implementation details are freely available at GitHub repository (https://github.com/ZKZ-Brain/CI-GNN/). 45 pages, 14 figures

2306.14563 2023-06-27 stat.ML cs.LG 61%

Multi-output Ensembles for Multi-step Forecasting

Vitor Cerqueira, Luis Torgo

专题命中仓库级理解：repository(abstract,comments)；分类 cs.LG

Comments 19 pages, github repository available

1. 仓库级理解 3967 篇

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

VUSFA:Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigation

Recursive Sketches for Modular Deep Learning

ParaFIS:A new online fuzzy inference system based on parallel drift anticipation

A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks

STYLE-ANALYZER: fixing code style inconsistencies with interpretable unsupervised algorithms

Towards Formula Translation using Recursive Neural Networks

Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks

A Fuzzy-Rough based Binary Shuffled Frog Leaping Algorithm for Feature Selection

Learning Software Constraints via Installation Attempts

MDFS - MultiDimensional Feature Selection

MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data

Adapting Neural Text Classification for Improved Software Categorization

Modified SMOTE Using Mutual Information and Different Sorts of Entropies

Supervising Unsupervised Learning

MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks

Relationship Maintenance in Software Language Repositories

Knowledge-based system for collaborative process specification

Discovering Valuable Items from Massive Data

Autonomous Agents Coordination: Action Languages meet CLP(FD) and Linda

A General Framework for Development of the Cortex-like Visual Object Recognition System: Waves of Spikes, Predictive Coding and Universal Dictionary of Features

Towards Design and Implementation of a Language Technology based Information Processor for PDM Systems

Codified Context: Infrastructure for AI Agents in a Complex Codebase

Image-to-Video Transfer Learning based on Image-Language Foundation Models: A Comprehensive Survey

The 1st Solution for 7th LSVOS RVOS Track: SaSaSa2VA

Improving Machine Hearing on Limited Data Sets

BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck

A Survey of Graph Neural Networks for Social Recommender Systems

CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis

Multi-output Ensembles for Multi-step Forecasting