Search Results for author: He Xie

Found 6 papers, 1 papers with code

Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation

no code implementations ICCV 2023 Zijie Wu, Yaonan Wang, Mingtao Feng, He Xie, Ajmal Mian

In this paper, we propose a sketch and text guided probabilistic diffusion model for colored point cloud generation that conditions the denoising process jointly with a hand drawn sketch of the object and its textual description.

Denoising Image Generation +1

Measuring and Mitigating Local Instability in Deep Neural Networks

no code implementations18 May 2023 Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan

We formulate the model stability problem by studying how the predictions of a model change, even when it is retrained on the same data, as a consequence of stochasticity in the training process.

Natural Language Understanding

Towards Realistic Single-Task Continuous Learning Research for NER

1 code implementation Findings (EMNLP) 2021 Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta

There is an increasing interest in continuous learning (CL), as data privacy is becoming a priority for real-world machine learning applications.


Industry Scale Semi-Supervised Learning for Natural Language Understanding

no code implementations NAACL 2021 Luoxin Chen, Francisco Garcia, Varun Kumar, He Xie, Jianhua Lu

This paper presents a production Semi-Supervised Learning (SSL) pipeline based on the student-teacher framework, which leverages millions of unlabeled examples to improve Natural Language Understanding (NLU) tasks.

intent-classification Intent Classification +6

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