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Charles Godfrey

3 papers · 2022–2023 · 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 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) EMNLP (1)

Top co-authors

Henry Kvinge (2) Davis Brown (2) Nicholas Konz (1) Bhavya Kailkhura (1) James Diffenderfer (1) Jonathan Tu (1) Kelsey Lieberman (1) Tegan Emerson (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Core AI (2) Deep Learning (1) Application Areas (1) Architectures (1) Core Methods (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

representation learning (2) network architecture (1) benchmark suite (1) model architecture (1) out-of-distribution generalization (1) model interpretability (1) hidden state (1) language model (1) activation function (1) spectral bia (1) robustness evaluation (1) relu network (1) generalization property (1) internal representation (1) neural image compression (1) neural network (1) representation dissimilarity (1) neural network symmetry (1)

Papers

Neural Image Compression: Generalization, Robustness, and Spectral Biases NeurIPS 2023 Understanding the Inner-workings of Language Models Through Representation Dissimilarity EMNLP 2023 On the Symmetries of Deep Learning Models and their Internal Representations NeurIPS 2022