Hattie Zhou

According to our database1, Hattie Zhou authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
A Formal Framework for Understanding Length Generalization in Transformers.
CoRR, 2024

Step-by-Step Diffusion: An Elementary Tutorial.
CoRR, 2024

What Algorithms can Transformers Learn? A Study in Length Generalization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Vanishing Gradients in Reinforcement Finetuning of Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok.
CoRR, 2023

2022
Teaching Algorithmic Reasoning via In-context Learning.
CoRR, 2022

Fortuitous Forgetting in Connectionist Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

LCA: Loss Change Allocation for Neural Network Training.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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