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Poster
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Thu 14:00
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CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
Siddhant Kharbanda · Atmadeep Banerjee · Erik Schultheis · Rohit Babbar
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Panel
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Tue 10:15
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Panel 1B-3: Shield Decentralization for… & DHRL: A Graph-Based…
Seungjae Lee · Daniel Melcer
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Poster
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Thu 14:00
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NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
Qitian Wu · Wentao Zhao · Zenan Li · David P Wipf · Junchi Yan
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Affinity Workshop
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DeepWear: Towards an Automated Textiles Materials Classification using a Taxonomy-based ML Approach
Shu Zhong · Miriam Ribul · Youngjun Cho · Marianna Obrist
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Poster
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Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue · Chunhui Zhang · Chuxu Zhang · Hongfu Liu
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Workshop
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Scalable Vector Representation for Topological Data Analysis Based Classification
Tananun Songdechakraiwut · Bryan Krause · Matthew Banks · Kirill Nourski · Barry Van Veen
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Poster
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Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Yaming Yang · Ziyu Guan · Zhe Wang · Wei Zhao · Cai Xu · Weigang Lu · Jianbin Huang
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Affinity Workshop
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Graph Convolutional Neural Network-based Quality Assessment of Light Field Images
Sana Alamgeer
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Poster
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Wed 14:00
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Sketching based Representations for Robust Image Classification with Provable Guarantees
Nishanth Dikkala · Sankeerth Rao Karingula · Raghu Meka · Jelani Nelson · Rina Panigrahy · Xin Wang
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Poster
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Thu 9:00
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UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification
Yanbo Xu · Alind Khare · Glenn Matlin · Monish Ramadoss · Rishikesan Kamaleswaran · Chao Zhang · Alexey Tumanov
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Poster
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Tue 9:00
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Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats
Hongwei Jin · Zishun Yu · Xinhua Zhang
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Workshop
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Improving Conditional Score-Based Generation with Calibrated Classification and Joint Training
Paul K. Huang · Si-An Chen · Hsuan-Tien Lin
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