Methods such as chain-of-thought prompting and self-consistency have pus...
Variational autoencoders (VAEs) are powerful tools for learning latent
r...
Deep Reinforcement Learning (RL) is successful in solving many complex M...
Standard dynamics models for continuous control make use of feedforward
...
Linear interpolation between initial neural network parameters and conve...
Off-policy evaluation (OPE) holds the promise of being able to leverage
...
How should one combine noisy information from diverse sources to make an...
The vast majority of successful deep neural networks are trained using
v...