Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections (NeurIPS 2019)
Recent advances in the information theory of deep neural networks
2019-05-16 - Carlos presents: Reducing Network Agnostaphobia (5/5)
2019-05-16 - Carlos presents: Reducing Network Agnostaphobia (2/5)
2019-05-16 - Carlos presents: Reducing Network Agnostaphobia (1/5)
2019-05-16 - Carlos presents: Reducing Network Agnostaphobia (4/5)
Risk-Driven Design of Perception Systems
"Advances and Opportunities: Machine Learning for Education" with Burr Settles
NVIDIA、NIPS 2017 に出展
Infinite-Horizon Gaussian Processes (NeurIPS/NIPS 3min video)
VIME: Variational Information Maximizing Exploration
A Bayesian Nonparametric View on Count-Min Sketch: NeurIPS 2018 Spotlight Video
[NeurIPS 2022] Learning to Discover and Detect Objects
Variational Learning on Aggregate Outputs with Gaussian Processes (NeurIPS 2018)
ImageNets for Reading
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
NeurIPS 2021: Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
CanonicalCapsules@NeurIPS21
A Guide to NeurIPS 2024 — 10 Research Areas & Spotlight Papers to Check Out
2019-05-09 - Naman presents: Selective classification for DNN (4/5)