firstbacksecondback
37 Results
|
Workshop
|
Constructing gauge-invariant neural networks for scientific applications Emmanouil Theodosis · Demba Ba · Nima Dehmamy |
||
|
Workshop
|
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems Bingcong Li · Liang Zhang · Niao He |
||
|
Poster
|
Tue 2:30 |
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection Feiran Li · Qianqian Xu · Shilong Bao · Zhiyong Yang · Runmin Cong · Xiaochun Cao · Qingming Huang |
|
|
Poster
|
Wed 2:30 |
MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation Bowen Tao · Xin-Chun Li · De-Chuan Zhan |
|
|
Poster
|
Thu 4:30 |
PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models Deividas Eringis · john leth · Zheng-Hua Tan · Rafal Wisniewski · Mihaly Petreczky |
|
|
Poster
|
Thu 4:30 |
Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking Yongxin Li · Mengyuan Liu · You Wu · Xucheng Wang · Xiangyang Yang · Shuiwang Li |
|
|
Poster
|
Wed 2:30 |
SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning Matthias Weissenbacher · Rishabh Agarwal · Yoshinobu Kawahara |
|
|
Poster
|
Wed 4:30 |
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt · Sebastian Stober |
|
|
Poster
|
Wed 4:30 |
Effect-Invariant Mechanisms for Policy Generalization Sorawit Saengkyongam · Niklas Pfister · Predag Klasnja · Susan Murphy · Jonas Peters |
|
|
Poster
|
Wed 2:30 |
Community-Invariant Graph Contrastive Learning Shiyin Tan · Dongyuan Li · Renhe Jiang · Ying Zhang · Manabu Okumura |
|
|
Poster
|
Thu 2:30 |
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition Yuke Li · Guangyi Chen · Ben Abramowitz · Stefano Anzellotti · Donglai Wei |
|
|
Workshop
|
Constructing gauge-invariant neural networks for scientific applications Emmanouil Theodosis · Demba Ba · Nima Dehmamy |