firstbacksecondback
59 Results
|
Poster
|
Thu 17:00 |
Generalization bounds via distillation Daniel Hsu · Ziwei Ji · Matus Telgarsky · Lan Wang |
|
|
Spotlight
|
Mon 12:05 |
Generalization bounds via distillation Daniel Hsu · Ziwei Ji · Matus Telgarsky · Lan Wang |
|
|
Poster
|
Tue 9:00 |
Distance-Based Regularisation of Deep Networks for Fine-Tuning Henry Gouk · Timothy Hospedales · massimiliano pontil |
|
|
Poster
|
Thu 17:00 |
Few-Shot Learning via Learning the Representation, Provably Simon Du · Wei Hu · Sham M Kakade · Jason Lee · Qi Lei |
|
|
Poster
|
Mon 9:00 |
A statistical theory of cold posteriors in deep neural networks Laurence Aitchison |
|
|
Spotlight
|
Thu 20:35 |
Sparse Quantized Spectral Clustering Zhenyu Liao · Romain Couillet · Michael W Mahoney |
|
|
Poster
|
Thu 1:00 |
Sparse Quantized Spectral Clustering Zhenyu Liao · Romain Couillet · Michael W Mahoney |
|
|
Poster
|
Wed 1:00 |
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time Yu Cheng · Honghao Lin |
|
|
Poster
|
Mon 9:00 |
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms Yong Liu · Jiankun Liu · Shuqiang Wang |
|
|
Poster
|
Thu 17:00 |
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao · Jie Ding · VAHID TAROKH |
|
|
Poster
|
Mon 17:00 |
On the geometry of generalization and memorization in deep neural networks Cory Stephenson · Suchismita Padhy · Abhinav Ganesh · Yue Hui · Hanlin Tang · SueYeon Chung |
|
|
Poster
|
Tue 17:00 |
Understanding the role of importance weighting for deep learning Da Xu · Yuting Ye · Chuanwei Ruan |