Search Results for author: Rui Hou

Found 11 papers, 5 papers with code

IDPG: An Instance-Dependent Prompt Generation Method

no code implementations NAACL 2022 Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma

Prompt tuning is a new, efficient NLP transfer learning paradigm that adds a task-specific prompt in each input instance during the model training stage.

Language Modelling Natural Language Understanding +1

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

1 code implementation ACL 2022 Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa

Recent parameter-efficient language model tuning (PELT) methods manage to match the performance of fine-tuning with much fewer trainable parameters and perform especially well when training data is limited.

Language Modelling Model Selection

Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep Learning

1 code implementation3 Aug 2020 Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo

Purpose: To design multi-disease classifiers for body CT scans for three different organ systems using automatically extracted labels from radiology text reports. Materials & Methods: This retrospective study included a total of 12, 092 patients (mean age 57 +- 18; 6, 172 women) for model development and testing (from 2012-2017).

Computed Tomography (CT) General Classification

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

1 code implementation ICLR 2020 Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon

Instead of using semantic labels and proxy losses in a multi-task approach, we propose a new architecture leveraging fixed pretrained semantic segmentation networks to guide self-supervised representation learning via pixel-adaptive convolutions.

Depth Prediction Monocular Depth Estimation +3

Real-Time Panoptic Segmentation from Dense Detections

no code implementations CVPR 2020 Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome Lynch, Adrien Gaidon

Panoptic segmentation is a complex full scene parsing task requiring simultaneous instance and semantic segmentation at high resolution.

object-detection Object Detection +2

Towards Automatic Detection of Misinformation in Online Medical Videos

no code implementations4 Sep 2019 Rui Hou, Verónica Pérez-Rosas, Stacy Loeb, Rada Mihalcea

Recent years have witnessed a significant increase in the online sharing of medical information, with videos representing a large fraction of such online sources.

Misinformation

An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos

no code implementations30 Nov 2017 Rui Hou, Chen Chen, Mubarak Shah

A video is first divided into equal length clips and next for each clip a set of tube proposals are generated based on 3D CNN features.

Action Detection Action Segmentation +3

Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos

1 code implementation ICCV 2017 Rui Hou, Chen Chen, Mubarak Shah

A video is first divided into equal length clips and for each clip a set of tube proposals are generated next based on 3D Convolutional Network (ConvNet) features.

Action Detection Image Classification +2

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