Mark D. McDonnell

2 papers · 2018–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

ICLR (1) NeurIPS (1)

Top co-authors

Ehsan Abbasnejad (1) Dong Gong (1) Anton van den Hengel (1) Amin Parvaneh (1)

Research topics

Machine Learning (2) Application Areas (2) Deep Learning (1) Learning Types (1) Techniques (1)

Keywords

model compression (1) continual learning (1) catastrophic forgetting (1) feature extraction (1) neural network optimization (1) random projection (1) pre-trained model (1) binarized neural network (1) weight quantization (1) residual network (1) class prototype (1)

Papers

RanPAC: Random Projections and Pre-trained Models for Continual Learning NeurIPS 2023 Training wide residual networks for deployment using a single bit for each weight ICLR 2018