ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.14155
  4. Cited By
Automatic Analysis of Available Source Code of Top Artificial
  Intelligence Conference Papers

Automatic Analysis of Available Source Code of Top Artificial Intelligence Conference Papers

28 September 2022
Jialiang Lin
Yingmin Wang
Yao Yu
Yu Zhou
Yidong Chen
X. Shi
ArXiv (abs)PDFHTML

Papers citing "Automatic Analysis of Available Source Code of Top Artificial Intelligence Conference Papers"

18 / 18 papers shown
Title
How many preprints have actually been printed and why: a case study of
  computer science preprints on arXiv
How many preprints have actually been printed and why: a case study of computer science preprints on arXiv
Jialiang Lin
Yao Yu
Yu Zhou
Zhiyang Zhou
Xiaodon Shi
AI4CE
38
48
0
03 Aug 2023
Detecting and analyzing missing citations to published scientific
  entities
Detecting and analyzing missing citations to published scientific entities
Jialiang Lin
Yao Yu
Jia-Qi Song
X. Shi
38
4
0
18 Oct 2022
Code Replicability in Computer Graphics
Code Replicability in Computer Graphics
Nicolas Bonneel
D. Coeurjolly
Julie Digne
Nicolas Mellado
AI4CE
40
25
0
01 May 2020
Deep Learning Based Text Classification: A Comprehensive Review
Deep Learning Based Text Classification: A Comprehensive Review
Shervin Minaee
Nal Kalchbrenner
Min Zhang
Narjes Nikzad
M. Asgari-Chenaghlu
Jianfeng Gao
AILawVLMAI4TS
106
1,105
0
06 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
538
42,591
0
03 Dec 2019
A Step Toward Quantifying Independently Reproducible Machine Learning
  Research
A Step Toward Quantifying Independently Reproducible Machine Learning Research
Edward Raff
56
131
0
14 Sep 2019
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and
  Classification
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification
Minghao Hu
Yuxing Peng
Zhen Huang
Dongsheng Li
Yiwei Lv
92
195
0
10 Jun 2019
How to Fine-Tune BERT for Text Classification?
How to Fine-Tune BERT for Text Classification?
Chi Sun
Xipeng Qiu
Yige Xu
Xuanjing Huang
87
1,526
0
14 May 2019
SciBERT: A Pretrained Language Model for Scientific Text
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy
Kyle Lo
Arman Cohan
164
2,985
0
26 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Graph Convolutional Networks for Text Classification
Graph Convolutional Networks for Text Classification
Liang Yao
Chengsheng Mao
Yuan Luo
GNN
92
1,828
0
15 Sep 2018
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
Kamil Bennani-Smires
C. Musat
Andreea Hossmann
Michael Baeriswyl
Martin Jaggi
55
213
0
13 Jan 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
732
132,363
0
12 Jun 2017
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Recurrent Neural Network for Text Classification with Multi-Task
  Learning
Recurrent Neural Network for Text Classification with Multi-Task Learning
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
111
1,288
0
17 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
280
14,712
0
20 Jun 2014
1