On the Value of Infinite Gradients in Variational Autoencoder Models

von Dai, Bin
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

THE USUAL SUSPECTS? REASSESSING BLAME FOR VAE POSTERIOR COLLAPSE

von Dai, Bin
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 3 of 15 (2021)

Transformers from an Optimization Perspective

von Yang, Yongyi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 48 of 50 (2023)

Further Analysis of Outlier Detection with Deep Generative Models

von Wang, Ziyu
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 11 of 27 (2021)

A Biased Graph Neural Network Sampler with Near-Optimal Regret

von Zhang, Qingru
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 11 of 36 (2022)

Learning Manifold Dimensions with Conditional Variational Autoencoders

von Zheng, Yijia
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 45 of 50 (2023)

Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks

von Ahn, Hongjoon
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 50 of 50 (2023)

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

von Zhang, Hengrui
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 1 of 36 (2022)

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification

von Wu, Qitian
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 36 of 50 (2023)

GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction

von Li, Longyuan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 32 of 36 (2022)

GRAPH NEURAL NETWORKS INSPIRED BY CLASSICAL ITERATIVE ALGORITHMS

von YANG, YONGYI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 15 of 16 (2022)

Self-supervised Amodal Video Object Segmentation

von Yao, Jian
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 9 of 50 (2023)

Learning Enhanced Representation for Tabular Data via Neighborhood Propagation

von Du, Kounianhua
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 22 of 50 (2023)