Summary of Multimax: Sparse and Multi-modal Attention Learning, by Yuxuan Zhou et al.
MultiMax: Sparse and Multi-Modal Attention Learningby Yuxuan Zhou, Mario Fritz, Margret KeuperFirst submitted to arxiv…
Summary of Sparsity-agnostic Linear Bandits with Adaptive Adversaries, by Tianyuan Jin et al.
Sparsity-Agnostic Linear Bandits with Adaptive Adversariesby Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-BianchiFirst submitted to arxiv…
Summary of Scaling Up Deep Clustering Methods Beyond Imagenet-1k, by Nikolas Adaloglou and Felix Michels and Kaspar Senft and Diana Petrusheva and Markus Kollmann
Scaling Up Deep Clustering Methods Beyond ImageNet-1Kby Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva,…
Summary of Dda: Dimensionality Driven Augmentation Search For Contrastive Learning in Laparoscopic Surgery, by Yuning Zhou et al.
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgeryby Yuning Zhou, Henry Badgery,…
Summary of Demystifying Sgd with Doubly Stochastic Gradients, by Kyurae Kim et al.
Demystifying SGD with Doubly Stochastic Gradientsby Kyurae Kim, Joohwan Ko, Yi-An Ma, Jacob R. GardnerFirst…
Summary of Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel, by Shivam Gupta et al.
Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallelby Shivam Gupta, Linda Cai, Sitan ChenFirst…
Summary of State Space Models on Temporal Graphs: a First-principles Study, by Jintang Li et al.
State Space Models on Temporal Graphs: A First-Principles Studyby Jintang Li, Ruofan Wu, Xinzhou Jin,…
Summary of Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion For Medical Image Segmentation, by Tianyu Huang et al.
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image…
Summary of Navigating Conflicting Views: Harnessing Trust For Learning, by Jueqing Lu et al.
Navigating Conflicting Views: Harnessing Trust for Learningby Jueqing Lu, Wray Buntine, Yuanyuan Qi, Joanna Dipnall,…
Summary of Enhancing Fairness in Unsupervised Graph Anomaly Detection Through Disentanglement, by Wenjing Chang et al.
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglementby Wenjing Chang, Kay Liu, Philip S.…