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Workshop
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Sun 16:30
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Training Dynamics of Convolutional Neural Networks for Learning the Derivative Operator
Erik Wang · Yongji Wang · Ching-Yao Lai
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Poster
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Thu 16:30
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Graph Classification via Reference Distribution Learning: Theory and Practice
Zixiao Wang · Jicong Fan
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Poster
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Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
Wenlin Chen · Hong Ge
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Poster
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Thu 11:00
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Enhancing Chess Reinforcement Learning with Graph Representation
Tomas Rigaux · Hisashi Kashima
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Poster
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Fri 16:30
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A Topology-aware Graph Coarsening Framework for Continual Graph Learning
Xiaoxue Han · Zhuo Feng · Yue Ning
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Workshop
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Improving Deep Learning Speed and Performance through Synaptic Neural Balance
Antonios Alexos · ian domingo · Pierre Baldi
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Poster
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Thu 16:30
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Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
Hongyu Cheng · Sammy Khalife · Barbara Fiedorowicz · Amitabh Basu
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Affinity Event
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Heart Disease Prediction: A Comparative Study of Optimizers Performance in Deep Neural Networks.
chisom chibuike · Adeyinka Ogunsanya
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Poster
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Fri 16:30
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Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation
Kaibo Zhang · Yunjuan Wang · Raman Arora
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Poster
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Wed 11:00
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Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
Duo Zhou · Christopher Brix · Grani A. Hanasusanto · Huan Zhang
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Workshop
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Sat 9:20
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MotherNet: Fast Training and Inference via Hyper-Network Transformers
Andreas Mueller · Carlo Curino · Raghu Ramakrishnan
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Poster
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Federated Graph Learning for Cross-Domain Recommendation
Ziqi Yang · Zhaopeng Peng · Zihui Wang · Jianzhong Qi · Chaochao Chen · Weike Pan · Chenglu Wen · Cheng Wang · Xiaoliang Fan
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