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23 Results

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Poster
Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks
Xingsi Dong · Zilong Ji · Tianhao Chu · Tiejun Huang · Wenhao Zhang · Si Wu
Poster
DropCov: A Simple yet Effective Method for Improving Deep Architectures
Qilong Wang · Mingze Gao · Zhaolin Zhang · Jiangtao Xie · Peihua Li · Qinghua Hu
Poster
Thu 14:00 Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
Minji Yoon · John Palowitch · Dustin Zelle · Ziniu Hu · Ruslan Salakhutdinov · Bryan Perozzi
Poster
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks
Tao Sun · Dongsheng Li · Bao Wang
Poster
Thu 9:00 Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Yunqing Zhao · Keshigeyan Chandrasegaran · Milad Abdollahzadeh · Ngai-Man (Man) Cheung
Poster
Tue 14:00 Graph Neural Networks with Adaptive Readouts
David Buterez · Jon Paul Janet · Steven J Kiddle · Dino Oglic · Pietro Liò
Workshop
Shift-Robust Node Classification via Graph Clustering Co-training
Qi Zhu · Chao Zhang · Chanyoung Park · Carl Yang · Jiawei Han
Workshop
Adaptive Selection of Atomic Fingerprints for High-Dimensional Neural Network Potentials
Johannes Sandberg · Emilie Devijver · Noel Jakse · Thomas Voigtmann
Poster
Thu 9:00 Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
Hengguan Huang · Xiangming Gu · Hao Wang · Chang Xiao · Hongfu Liu · Ye Wang
Poster
Thu 14:00 Revisiting Heterophily For Graph Neural Networks
Sitao Luan · Chenqing Hua · Qincheng Lu · Jiaqi Zhu · Mingde Zhao · Shuyuan Zhang · Xiao-Wen Chang · Doina Precup
Poster
Thu 9:00 Neural Attentive Circuits
Martin Weiss · Nasim Rahaman · Francesco Locatello · Chris Pal · Yoshua Bengio · Bernhard Schölkopf · Erran Li Li · Nicolas Ballas