Academics & Research

Department of Academics & Research

Out-Of-Distribution Detection (OoDD)

A Research Project on Benchmarking the Latest Generative Model Based OoOD Methods.

Rust for Machine Learning: Benchmarking Performance in One-shot

Reproducing "Siamese Neural Networks for One-shot Image Recognition" and benchmarking implementation performance and results.

Academics & Research

Department of Academics & Research

NeurIPS 2019 Reproducibility: SMILe

Reproducing SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies (Zemel et al.)

Academics (2019-2020)

Department of Academics

ICLR 2019 Reproducibility: Alarm Forgetting Example

An Empirical Study of Example Forgetting during Deep Neural Network Learning (Mariya Toneva*, Alessandro Sordoni*, Remi Tachet des Combes*, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon)

ICLR 2019 Reproducibility: Initialized Equilibrium Propagation

Reproducing Initialized Equilibrium Propagation for Backprop-free Training (Peter O'Connor, Efstratios Gavves, Max Welling)