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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
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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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Workshop
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STab: Self-supervised Learning for Tabular Data
Ehsan Hajiramezanali · Max Shen · Gabriele Scalia · Nathaniel Diamant
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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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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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Mitigating input-causing confounding in multimodal learning via the backdoor adjustment
Taro Makino · Krzysztof Geras · Kyunghyun Cho
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