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Poster
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Tue 4:30
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Iterative Search Attribution for Deep Neural Networks
Zhiyu Zhu · Huaming Chen · Xinyi Wang · Jiayu Zhang · Zhibo Jin · Minhui Xue · Jun Shen
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Poster
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Tue 2:30
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EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
Shengyao Lu · Bang Liu · Keith Mills · Jiao He · Di Niu
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Poster
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Thu 4:30
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Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
Zeyang Zhang · Xin Wang · Yijian Qin · Hong Chen · Ziwei Zhang · Xu Chu · Wenwu Zhu
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Workshop
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BPNAS: Bayesian Progressive Neural Architecture Search
Hyunwoong Chang · Anirban Samaddar · Sandeep Madireddy
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Poster
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Wed 2:30
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tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
Junhua Zeng · Chao Li · Zhun Sun · Qibin Zhao · Guoxu Zhou
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Poster
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Tue 2:30
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Encodings for Prediction-based Neural Architecture Search
Yash Akhauri · Mohamed Abdelfattah
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Poster
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Wed 4:30
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Defining Neural Network Architecture through Polytope Structures of Datasets
Sangmin Lee · Abbas Mammadov · Jong Chul YE
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Poster
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Thu 2:30
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Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks
Amit Peleg · Matthias Hein
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Workshop
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Resource-constrained Neural Architecture Search on Language Models: A Case Study
Andreas Paraskeva · Joao Reis · Suzan Verberne · Jan Rijn
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Workshop
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Differentiable Short-Time Fourier Transform: A Time-Frequency Layer with Learnable Parameters
Maxime Leiber · Yosra MARNISSI · Axel Barrau
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Workshop
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What Makes a Machine Learning Task a Good Candidate for an Equivariant Network?
Scott Mahan · Davis Brown · Tim Doster · Henry Kvinge
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Poster
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Wed 2:30
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Integrated Hardware Architecture and Device Placement Search
Irene Wang · Jakub Tarnawski · Amar Phanishayee · Divya Mahajan
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