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Workshop
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Bounded logit attention: Learning to explain image classifiers Thomas Baumhauer · Djordje Slijepcevic · Matthias Zeppelzauer |
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Workshop
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COIN: Co-Cluster Infomax for Bipartite Graphs Baoyu Jing · Yuchen Yan · Yada Zhu · Hanghang Tong |
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Workshop
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Targeted Adversarial Self-Supervised Learning Minseon Kim · Hyeonjeong Ha · Sooel Son · Sung Ju Hwang |
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Poster
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Wed 14:00 |
Cross-modal Learning for Image-Guided Point Cloud Shape Completion Emanuele Aiello · Diego Valsesia · Enrico Magli |
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Workshop
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Meta-Learning Makes a Better Multimodal Few-shot Learner Ivona Najdenkoska · Xiantong Zhen · Marcel Worring |
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Workshop
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Uncertainty-Aware Meta-Learning for Multimodal Task Distributions Cesar Almecija · Apoorva Sharma · Young-Jin Park · Navid Azizan |
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Workshop
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Multimodal deep transfer learning for the analysis of optical coherence tomography scans and retinal fundus photographs Zoi Tsangalidou · Edwin Fong · Josefine Vilsbøll Sundgaard · Trine J Abrahamsen · Kajsa Kvist |
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Workshop
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APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations Elan Rosenfeld · Preetum Nakkiran · Hadi Pouransari · Oncel Tuzel · Fartash Faghri |
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Poster
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Decoupled Self-supervised Learning for Graphs Teng Xiao · Zhengyu Chen · Zhimeng Guo · Zeyang Zhuang · Suhang Wang |
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Workshop
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STab: Self-supervised Learning for Tabular Data Ehsan Hajiramezanali · Max Shen · Gabriele Scalia · Nathaniel Diamant |
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Workshop
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Toward Effective Deep Reinforcement Learning for 3D Robotic Manipulation: End-to-End Learning from Multimodal Raw Sensory Data Samyeul Noh · Hyun Myung |
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Workshop
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Anatomy-informed multimodal learning for myocardial infarction prediction Ivan-Daniel Sievering · Ortal Senouf · Thabo Mahendiran · David Nanchen · Stephane Fournier · Olivier Muller · Pascal Frossard · Emmanuel Abbe · Dorina Thanou |