代码大模型 / AI 编程 - arXivDaily 专题

2106.09757 2021-06-21 cs.LG cs.AI physics.ao-ph 62%

CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1

Imme Ebert-Uphoff, Ryan Lagerquist, Kyle Hilburn, Yoonjin Lee, Katherine Haynes, Jason Stock, Christina Kumler, Jebb Q. Stewart

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

Comments 37 pages

2106.06243 2021-06-14 stat.ML cs.AI cs.LG 62%

Unsupervised Anomaly Detection Ensembles using Item Response Theory

Sevvandi Kandanaarachchi

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

Comments 25 pages

2105.06746 2021-05-17 cs.CV cs.AI cs.LG 62%

Facial Age Estimation using Convolutional Neural Networks

Adrian Kjærran, Christian Bakke Vennerød, Erling Stray Bugge

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

2005.13904 2021-05-03 cs.SE cs.LG 62%

Using Source Code Density to Improve the Accuracy of Automatic Commit Classification into Maintenance Activities

Sebastian Hönel, Morgan Ericsson, Welf Löwe, Anna Wingkvist

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

Comments 23 pages, to be published in The Journal of Systems and Software

2005.06334 2021-03-31 cs.MS cs.LG cs.PL stat.CO stat.ML 62%

The JuliaConnectoR: a functionally oriented interface for integrating Julia in R

Stefan Lenz, Maren Hackenberg, Harald Binder

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

Comments 23 pages, 3 figures, 4 tables

2103.05132 2021-03-19 cs.CL cs.AI 62%

AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin

Bonaventure F. P. Dossou, Mohammed Sabry

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

Journal ref Africa NLP, EACL 2021

2011.08596 2021-03-19 cs.LG cs.AI 62%

Learning outside the Black-Box: The pursuit of interpretable models

Jonathan Crabbé, Yao Zhang, William Zame, Mihaela van der Schaar

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

Comments presented in 34th Conference on Neural Information Processing Systems (NeurIPS 2020)

Journal ref Advances in Neural Information Processing Systems 33 (2020) 17838-17849

2103.08890 2021-03-17 cs.SE cs.LG 62%

LabelGit: A Dataset for Software Repositories Classification using Attributed Dependency Graphs

Cezar Sas, Andrea Capiluppi

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

Comments 5 pages, 2 figures, 1 table

2007.10146 2021-03-02 cs.SE cs.PL 62%

Jupyter Notebooks on GitHub: Characteristics and Code Clones

Malin Källén, Tobias Wrigstad

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

Journal ref The Art, Science, and Engineering of Programming, 2021, Vol. 5, Issue 3, Article 15

2101.00346 2021-01-05 cs.LG cs.SE 62%

Minimum Viable Model Estimates for Machine Learning Projects

John Hawkins

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

Comments 11 pages, 4 figures

Journal ref Proceedings of the 6th International Conference on Computer Science, Engineering And Applications (CSEA 2020), December 18 ~ 19, pp. 37-46, Volume 10, Number 18

2011.00998 2020-11-18 cs.SE cs.LG 62%

A Review On Software Defects Prediction Methods

Mitt Shah, Nandit Pujara

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

2010.04366 2020-10-12 cs.SI cs.AI cs.LG 62%

GitEvolve: Predicting the Evolution of GitHub Repositories

Honglu Zhou, Hareesh Ravi, Carlos M. Muniz, Vahid Azizi, Linda Ness, Gerard de Melo, Mubbasir Kapadia

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

1804.03235 2020-08-24 cs.LG cs.AI stat.ML 62%

Large scale distributed neural network training through online distillation

Rohan Anil, Gabriel Pereyra, Alexandre Passos, Robert Ormandi, George E. Dahl, Geoffrey E. Hinton

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

Comments Clarify that implementations should use available parallelism in pseudo-code

2008.07434 2020-08-18 cs.LG cs.AI 62%

Integrating Deep Reinforcement Learning Networks with Health System Simulations

Michael Allen, Thomas Monks

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

Comments 6 pages, 1 figure

2008.03802 2020-08-11 eess.AS cs.CL cs.LG cs.SD 62%

SpeedySpeech: Efficient Neural Speech Synthesis

Jan Vainer, Ondřej Dušek

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

Comments 5 pages, 3 figures, Interspeech 2020

2007.10668 2020-07-22 cs.AI cs.LG 62%

An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models

Catarina Moreira, Yu-Liang Chou, Mythreyi Velmurugan, Chun Ouyang, Renuka Sindhgatta, Peter Bruza

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

2007.05694 2020-07-14 cs.LG cs.AI cs.IT math.IT stat.ML 62%

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones

Ugurkan Ates

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

Comments Submitted to Association for the Advancement of Artificial Intelligence(AAAI) 2020 Fall Symposium Series

1912.03277 2020-06-16 cs.LG cs.AI stat.ML 62%

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

Divyat Mahajan, Chenhao Tan, Amit Sharma

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

Comments 2019 NeurIPS Workshop on Do the right thing: Machine learning and Causal Inference for improved decision making

2005.04833 2020-05-12 cs.IR cs.LG cs.SE cs.SI 62%

Keen2Act: Activity Recommendation in Online Social Collaborative Platforms

Roy Ka-Wei Lee, Thong Hoang, Richard J. Oentaryo, David Lo

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

Comments ACM Conference on User Modeling, Adaptation and Personalization

2005.03632 2020-05-11 cs.LG cs.AI cs.CV stat.ML 62%

Visualisation and knowledge discovery from interpretable models

Sreejita Ghosh, Peter Tino, Kerstin Bunte

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

Comments Accepted for proceedings of the International Joint Conference on Neural Networks (IJCNN) 2020

2004.02256 2020-04-07 cs.CL cs.AI cs.IR 62%

Natural language processing for word sense disambiguation and information extraction

K. R. Chowdhary

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

Comments 150 pages, PhD Thesis

2003.11643 2020-03-27 cs.CL cs.LG stat.ML 62%

Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms

Sairamvinay Vijayaraghavan, Debraj Basu

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

2001.01891 2020-01-08 cs.AI cs.LG 62%

IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules

Bishwamittra Ghosh, Kuldeep S. Meel

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

Comments 10 pages, published in the proceedings of AAAI/ACM Conference on AI, Ethics, and Society (AIES 2019)

Journal ref AIES-19: AAAI/ACM conference on Artificial Intelligence, Ethics, and SocietyAt: Honolulu, HI, United States, January 27-28, 2019

1903.00904 2019-11-15 cs.LG cs.AI stat.ML 62%

adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection

Xuhong Wang, Ying Du, Shijie Lin, Ping Cui, Yuntian Shen, Yupu Yang

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

Comments This paper has been accepted by Knowledge-based Systems

1910.07999 2019-10-29 cs.SI cs.AI cs.LG cs.MA 62%

DeepFork: Supervised Prediction of Information Diffusion in GitHub

Ramya Akula, Niloofar Yousefi, Ivan Garibay

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

Comments 12 Pages, 7 Figures, 2 Tables

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

1. 仓库级理解 3953 篇

CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1

Unsupervised Anomaly Detection Ensembles using Item Response Theory

Facial Age Estimation using Convolutional Neural Networks

Using Source Code Density to Improve the Accuracy of Automatic Commit Classification into Maintenance Activities

The JuliaConnectoR: a functionally oriented interface for integrating Julia in R

AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin

Learning outside the Black-Box: The pursuit of interpretable models

LabelGit: A Dataset for Software Repositories Classification using Attributed Dependency Graphs

Jupyter Notebooks on GitHub: Characteristics and Code Clones

Minimum Viable Model Estimates for Machine Learning Projects

A Review On Software Defects Prediction Methods

GitEvolve: Predicting the Evolution of GitHub Repositories

Large scale distributed neural network training through online distillation

Integrating Deep Reinforcement Learning Networks with Health System Simulations

SpeedySpeech: Efficient Neural Speech Synthesis

An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

Keen2Act: Activity Recommendation in Online Social Collaborative Platforms

Visualisation and knowledge discovery from interpretable models

Natural language processing for word sense disambiguation and information extraction

Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms

IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules

adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection

DeepFork: Supervised Prediction of Information Diffusion in GitHub

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