Papers covering a few of my Deep Learning Projects.
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Updated
Dec 23, 2020
Papers covering a few of my Deep Learning Projects.
Implementation of Selected Published Papers from AI, RL, NLP Conferences and reputed Journals
Fork of Official Implementation of Meta-Learning to Improve Pre-Training, NeurIPS'21 Poster. (https://arxiv.org/abs/2111.01754)
This is data curation tool for the NeurIPS Proceddings. Based on year selection, papers could be downloaded into pdfs, abstarcts as needed.
Ablation Study of CapsuleNetwork on TimeSeries
The proceedings of top conference in 2019 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Unsupervised Topic Modelling project using Latent Dirichlet Allocation (LDA) on the NeurIPS papers. Built as part of the final project for McGill AI Society's Accelerated Introduction to Machine Learning Course (MAIS 202).
Solution for the Trojan Detection Challenge (TDC2022 - https://trojandetection.ai) as part of NeurIPS 2022
My submission for NeurIPS 2023 LLM Efficiency Challenge.
The code to evaluate on label2city task.
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Official Website for the Workshop on Advancing Neural Networks Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024, WANT@NeurIPS 2023)
(One of) the official code for our NeurIPS'22 paper Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
The proceedings of top conference in 2018 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Single-cell Analysis of Perturbational Effects using Machine Learning
Code that scraps the contents of the PDF papers submitted for NeurIPS 2020
A vue-based project page template for academic papers. (in development) Demo at https://junyaohu.github.io/academic-project-page-template-vue
Experiments accompanying A Theory of Unsupervised Translation Motivated by Understanding Animal Communication (NeurIPS 2023)
End-to-end demonstration of an autoencoder compression algorithm for plasma ion data from the MMS/FPI space instrument. Accompanies the publications da Silva et al., Frontiers in Astronomy and Space Sciences (2023) and da Silva et al., NeurIPS (2022)
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