Search Results for author: Jessica Forde

Found 4 papers, 0 papers with code

Towards Reproducible Machine Learning Research in Natural Language Processing

no code implementations ACL 2022 Ana Lucic, Maurits Bleeker, Samarth Bhargav, Jessica Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic

While recent progress in the field of ML has been significant, the reproducibility of these cutting-edge results is often lacking, with many submissions lacking the necessary information in order to ensure subsequent reproducibility.

BIG-bench Machine Learning

Does DQN really learn? Exploring adversarial training schemes in Pong

no code implementations20 Mar 2022 Bowen He, Sreehari Rammohan, Jessica Forde, Michael Littman

In this work, we study two self-play training schemes, Chainer and Pool, and show they lead to improved agent performance in Atari Pong compared to a standard DQN agent -- trained against the built-in Atari opponent.

Streamlining Tensor and Network Pruning in PyTorch

no code implementations28 Apr 2020 Michela Paganini, Jessica Forde

In order to contrast the explosion in size of state-of-the-art machine learning models that can be attributed to the empirical advantages of over-parametrization, and due to the necessity of deploying fast, sustainable, and private on-device models on resource-constrained devices, the community has focused on techniques such as pruning, quantization, and distillation as central strategies for model compression.

Model Compression Network Pruning +1

On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks

no code implementations14 Jan 2020 Michela Paganini, Jessica Forde

We examine how recently documented, fundamental phenomena in deep learning models subject to pruning are affected by changes in the pruning procedure.

Network Pruning

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