Low-rank models in visual analysis : theories, algorithms, and applications

von Lin, Zhouchen
Veröffentlicht 2017

Rethinking Knowledge Graph Evaluation Under the Open-World Assumption

von Yang, Haotong
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 11 of 50 (2023)

IMPLICIT EULER SKIP CONNECTIONS: ENHANCING ADVERSARIAL ROBUSTNESS VIA NUMERICAL STABILITY

von Li, Mingjie
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 8 of 15 (2021)

Pattern recognition and computer vision : Second Chinese Conference, PRCV 2019, Xi'an, China, November 8-11, 2019 : proceedings

Reparameterized Sampling for Generative Adversarial Networks

von Wang, Yifei
Veröffentlicht in ECML PKDD (2021 : Online) Machine Learning and Knowledge Discovery in Databases ; Part 3: Research Track (2021)

Dissecting the Diffusion Process in Linear Graph Convolutional Networks

von Wang, Yifei
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

Towards Theoretically Inspired Neural Initialization Optimization

von Yang, Yibo
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 25 of 50 (2023)

PDO-ECONVS: PARTIAL DIFFERENTIAL OPERATOR BASED EQUIVARIANT CONVOLUTIONS

von Shen, Zhengyang
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 12 of 15 (2021)

BOOSTED HISTOGRAM TRANSFORUM FOR REGRESSION

von Cai, Yuchao
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 2 of 15 (2021)

GBHT: GRADIENT BOOSTING HISTOGRAM TRANSFORM FOR DENSITY ESTIMATION

von CUI, JINGYI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 3 of 16 (2022)

Gauge Equivariant Transformer

von He, Lingshen
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)

Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State

von Xiao, Mingqing
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)

Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots

von Liu, Yuanyuan
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 17 of 33 (2023)

PDO-S3DCNNs: Partial Differential Operator Based Steerable 3D CNNs

von Shen, Zhengyang
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 24 of 33 (2023)

Online Training Through Time for Spiking Neural Networks

von Xiao, Mingqing
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 27 of 50 (2023)

On Training Implicit Models

von Geng, Zhengyang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 29 of 36 (2022)

Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

von Yang, Yibo
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 49 of 50 (2023)

MAXIMUM-AND-CONCATENATION NETWORKS

von Xie, Xingyu
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

ISTA-NAS: EFFICIENT AND CONSISTENT NEURAL ARCHITECTURE SEARCH BY SPARSE CODING

von Yang, Yibo
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 13 of 27 (2021)

UNCERTAINTY PRINCIPLES OF ENCODING GANS

von FENG, RUILI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 5 of 16 (2022)