Celebrating VinAI’s Remarkable Success at NeurIPS 2023

Introduction

VinAI, once again, stands at the forefront of the artificial intelligence (AI) and machine learning community with an impressive display of talent and commitment. The prestigious NeurIPS 2023 has acknowledged the exceptional research process of VinAI by accepting five of their research papers for presentation.

This remarkable achievement highlights VinAI’s dedication to advancing the field of AI and machine learning. As we eagerly await the conference, which is scheduled to take place from December 10th to December 16th, 2023, at the New Orleans Ernest N. Morial Convention Center in the USA, let’s delve into the details of the accepted papers and celebrate VinAI’s continued success.

Accepted Papers

Here is a list of the five accepted papers from VinAI at NeurIPS 2023:

1. Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation

Authors: Quang Nguyen, Vu Tuan Truong, Anh Tran, Khoi Nguyen (VinAI)

2. Flat Seeking Bayesian Neural Networks

Authors: Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Phung, Trung Le (VinAI)

3. Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning

Authors: Cuong Pham, Cuong C. Nguyen, Trung Le (VinAI), Dinh Phung, Gustavo Carneiro, Thanh-Toan Do

4. Optimal Transport Model Distributional Robustness

Authors: Van-Anh Nguyen, Trung Le (VinAI), Anh Tuan Bui, Thanh-Toan Do, Dinh Phung

5. IBA: Towards Irreversible Backdoor Attacks in Federated Learning

Authors: Dung Nguyen, Tuan Nguyen, Anh Tran (VinAI), Khoa Doan, Kok-seng Wong

VinAI’s consistent success at NeurIPS 2023 exemplifies the exceptional talent and dedication that characterizes the organization. These accomplishments reinforce VinAI’s position as a leader in AI research, showcasing their commitment to pushing the boundaries of knowledge and innovation. The papers accepted at NeurIPS 2023 hold the promise of making significant contributions to the AI community and advancing the state of the art in machine learning.

VinAI’s research papers promise to deliver fresh insights and innovations that will shape the future of AI technology.