NeurIPS 2020: Probabilistic Linear Solvers for Machine Learning
AI in 2020
NeurIPS 2020 Tutorial on Offline RL: Part 1
[SAIF 2020] Day 1: Energy-Based Models for Self-Supervised Learning - Yann LeCun | Samsung
[ECCV 2020 Tutorial] AutoML for Efficient 3D Deep Learning
[NeurIPS 2020 - Spotlight] Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses
[News] The NeurIPS Broader Impact Statement
A Study on Encodings for Neural Architecture Search (10 min video)
KR 2020 - Verifying Strategic Abilities of Neural Multi-agent Systems
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
A Study on Encodings for Neural Architecture Search (3 min video)
NeurIPS 2021: Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Neural Architecture Search As Program Transformation Exploration (ASPLOS 2020)
Social Intelligence | Blaise Aguera y Arcas | NeurIPS 2019
Interspeech 2020: Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder
NeurIPS 2020 Tutorial: Deep Implicit Layers
Latest Research in AI\ML | Latest research papers in Data Science | Machine Learning | Data Magic
Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial
