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Picture for Thomas Lukasiewicz

Selective Pseudo-label Clustering


Jul 22, 2021
Louis Mahon, Thomas Lukasiewicz


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Rationale-Inspired Natural Language Explanations with Commonsense


Jun 25, 2021
Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian McAuley


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Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records


Jun 21, 2021
Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaine, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi


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RSG: A Simple but Effective Module for Learning Imbalanced Datasets


Jun 18, 2021
Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu

* To appear at CVPR 2021. We propose a flexible data generation/data augmentation module for long-tailed classification. Codes are available at: https://github.com/Jianf-Wang/RSG 

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Controlling Text Edition by Changing Answers of Specific Questions


May 23, 2021
Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz

* ACL 2021 findings 

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e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks


May 08, 2021
Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz


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Multi-Label Classification Neural Networks with Hard Logical Constraints


Mar 24, 2021
Eleonora Giunchiglia, Thomas Lukasiewicz

* arXiv admin note: text overlap with arXiv:2010.10151 

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Predictive Coding Can Do Exact Backpropagation on Any Neural Network


Mar 08, 2021
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu

* 15 pages, 9 figures 

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Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks


Mar 05, 2021
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu

* 18 pages, 3 figures 

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Risk factor identification for incident heart failure using neural network distillation and variable selection


Mar 01, 2021
Yikuan Li, Shishir Rao, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Dexter Canoy, Abdelaali Hassaine, Thomas Lukasiewicz, Kazem Rahimi


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An explainable Transformer-based deep learning model for the prediction of incident heart failure


Jan 27, 2021
Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaine, Dexter Canoy, John Cleland, Thomas Lukasiewicz, Gholamreza Salimi-Khorshidi, Kazem Rahimi


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Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration


Dec 18, 2020
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz

* Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021 

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Multi-type Disentanglement without Adversarial Training


Dec 16, 2020
Lei Sha, Thomas Lukasiewicz

* Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2021) 

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Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty


Nov 16, 2020
Wenting Xu, Chang Qi, Zhenghua Xu, Thomas Lukasiewicz


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SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images


Nov 15, 2020
Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu


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w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution


Nov 15, 2020
Bo Wang, Lei Wang, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu


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Efficient Medical Image Segmentation with Intermediate Supervision Mechanism


Nov 15, 2020
Di Yuan, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu, Guizhi Xu


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The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets


Nov 12, 2020
Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz

* Presented at AFCI workshop at NeurIPS 2020 conference 

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Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey


Nov 02, 2020
Dan Zhao, Guizhi Xu, Zhenghua XU, Thomas Lukasiewicz, Minmin Xue, Zhigang Fu


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Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation


Oct 23, 2020
Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz

* NeurIPS 2020 

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Coherent Hierarchical Multi-Label Classification Networks


Oct 20, 2020
Eleonora Giunchiglia, Thomas Lukasiewicz

* Neural Information Processing Systems 2020 

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Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution


Oct 06, 2020
Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz

* Accepted to the EMNLP 2020 conference 

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The Surprising Power of Graph Neural Networks with Random Node Initialization


Oct 02, 2020
Ralph Abboud, ─░smail ─░lkan Ceylan, Martin Grohe, Thomas Lukasiewicz


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The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets


Sep 23, 2020
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom


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Knowledge Graph Extraction from Videos


Jul 20, 2020
Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz

* 10 pages, 4 figures 

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BoxE: A Box Embedding Model for Knowledge Base Completion


Jul 13, 2020
Ralph Abboud, ─░smail ─░lkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori


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A Review of Winograd Schema Challenge Datasets and Approaches


Apr 23, 2020
Vid Kocijan, Thomas Lukasiewicz, Ernest Davis, Gary Marcus, Leora Morgenstern


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