Latest Research in AI\ML | Latest research papers in Data Science | Machine Learning | Data Magic
NeurIPS 2021: Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
[NeurIPS 2022] Learning to Discover and Detect Objects
NeurIPS 2021: An Infinite-Feature Extension for Bayesian ReLU Nets ...
Hierarchical Reinforcement Learning with Timed Subgoals (HiTS)
Risk-Driven Design of Perception Systems
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections (NeurIPS 2019)
NeurIPS 2021: Linear-Time Probabilistic Solutions of Boundary Value Problems
[NeurIPS*2021] Fast Axiomatic Attributions for Neural Networks
NeurIPS 2021: A Probabilistic Model for Joint Inference from Differential Equations and Data
VIME: Variational Information Maximizing Exploration
Implementation of Characterizing Possible Failure Modes of Physics-Informed Neural Networks
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
Advances in Neural Interfaces: From Signal Processing to Optogenetics
Variational Learning on Aggregate Outputs with Gaussian Processes (NeurIPS 2018)
Debiasing word embeddings in NLP Applications
Growing neural gas network - Albert Einstein's signature (1934)
Meta Learning Backpropagation And Improving It (NeurIPS 2021)
'ADMM-ADNN' Presentation at NIPS 2017 by Qi Wei & Kai Fan
Computer Science Research Pioneers: Neural Networks & Deep Learning