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Hattie Zhou

6 papers · 2019–2025 · 2 conferences · across top CS/AI conferences

Achievements

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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (2) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer

🐣 Hot Topic Early Bird ❓ The Questioner

Conferences

ICLR (4) NIPS (2)

Top co-authors

Preetum Nakkiran (3) Jason Yosinski (2) Etai Littwin (2) Omid Saremi (2) Janice Lan (2) Rosanne Liu (2) Noam Razin (2) Arwen Bradley (2) Joshua M. Susskind (2) Vimal Thilak (1)

Keywords

model compression (1) neural network pruning (1) lottery ticket hypothesis (1) neural network training (1) weight initialization (1) training dynamics (1) weight pruning (1) sparse training (1) loss change allocation (1) path integral (1) parameter analysis (1)

Papers

A Formal Framework for Understanding Length Generalization in Transformers ICLR 2025 What Algorithms can Transformers Learn? A Study in Length Generalization ICLR 2024 Vanishing Gradients in Reinforcement Finetuning of Language Models ICLR 2024 Fortuitous Forgetting in Connectionist Networks ICLR 2022 Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask NIPS 2019 LCA: Loss Change Allocation for Neural Network Training NIPS 2019