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Disentangled dimensionality reduction for noise-robust speaker diarisation

Oct 07, 2021
You Jin Kim, Hee-Soo Heo, Jee-weon Jung, Youngki Kwon, Bong-Jin Lee, Joon Son Chung

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TransBTSV2: Wider Instead of Deeper Transformer for Medical Image Segmentation

Jan 30, 2022
Jiangyun Li, Wenxuan Wang, Chen Chen, Tianxiang Zhang, Sen Zha, Hong Yu, Jing Wang

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Fair Group-Shared Representations with Normalizing Flows

Jan 17, 2022
Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer

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Visualizing the diversity of representations learned by Bayesian neural networks

Jan 26, 2022
Dennis Grinwald, Kirill Bykov, Shinichi Nakajima, Marina M. -C. Höhne

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MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm

Jan 12, 2022
Zhouzhen Xie, Yuying Song, Jingxuan Wu, Zecheng Li, Chunyi Song, Zhiwei Xu

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Recognizing Vector Graphics without Rasterization

Nov 05, 2021
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li

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A Partial Channel Reciprocity-based Codebook for Wideband FDD Massive MIMO

Jan 26, 2022
Haifan Yin, David Gesbert

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Detecting danger in gridworlds using Gromov's Link Condition

Jan 17, 2022
Thomas F Burns, Robert Tang

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Learning Debiased and Disentangled Representations for Semantic Segmentation

Oct 31, 2021
Sanghyeok Chu, Dongwan Kim, Bohyung Han

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Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning

Dec 16, 2021
Trevor Ablett, Bryan Chan, Jonathan Kelly

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