Michael E. Houle

3 papers · 2018–2024 · 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

Jump to papers ↓

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

Venues

ICLR (2) ICML (1)

Top co-authors

James Bailey (3) Xingjun Ma (3) Sudanthi Wijewickrema (2) Yisen Wang (2) Ricardo J. G. B. Campello (1) Bo Li (1) Sarah Erfani (1) Sarah Monazam Erfani (1) Hanxun Huang (1) Dawn Song (1)

Research topics

Deep Learning (2) Machine Learning (2) Application Areas (1) Architectures (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

representation learning (1) self-supervised learning (1) fisher-rao metric (1) deep neural network (1) loss function (1) noisy label (1) adversarial example (1) dimensional collapse (1) attack detection (1) local intrinsic dimensionality (1) neural network (1) representation subspace (1) local dimensionality regularization (1)

Papers

LDReg: Local Dimensionality Regularized Self-Supervised Learning ICLR 2024 Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ICLR 2018 Dimensionality-Driven Learning with Noisy Labels ICML 2018