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Workshop
Bounded logit attention: Learning to explain image classifiers
Thomas Baumhauer · Djordje Slijepcevic · Matthias Zeppelzauer
Workshop
COIN: Co-Cluster Infomax for Bipartite Graphs
Baoyu Jing · Yuchen Yan · Yada Zhu · Hanghang Tong
Workshop
Targeted Adversarial Self-Supervised Learning
Minseon Kim · Hyeonjeong Ha · Sooel Son · Sung Ju Hwang
Poster
Wed 14:00 Cross-modal Learning for Image-Guided Point Cloud Shape Completion
Emanuele Aiello · Diego Valsesia · Enrico Magli
Workshop
Meta-Learning Makes a Better Multimodal Few-shot Learner
Ivona Najdenkoska · Xiantong Zhen · Marcel Worring
Workshop
Uncertainty-Aware Meta-Learning for Multimodal Task Distributions
Cesar Almecija · Apoorva Sharma · Young-Jin Park · Navid Azizan
Workshop
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
Workshop
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
Elan Rosenfeld · Preetum Nakkiran · Hadi Pouransari · Oncel Tuzel · Fartash Faghri
Workshop
STab: Self-supervised Learning for Tabular Data
Ehsan Hajiramezanali · Max Shen · Gabriele Scalia · Nathaniel Diamant
Poster
Decoupled Self-supervised Learning for Graphs
Teng Xiao · Zhengyu Chen · Zhimeng Guo · Zeyang Zhuang · Suhang Wang
Workshop
Toward Effective Deep Reinforcement Learning for 3D Robotic Manipulation: End-to-End Learning from Multimodal Raw Sensory Data
Samyeul Noh · Hyun Myung
Workshop
Mitigating input-causing confounding in multimodal learning via the backdoor adjustment
Taro Makino · Krzysztof Geras · Kyunghyun Cho