Hattie Zhou

According to our database, Hattie Zhou authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Step-by-Step Diffusion: An Elementary Tutorial.

Preetum Nakkiran, Arwen Bradley, Hattie Zhou, Madhu Advani

CoRR, 2024

What Algorithms can Transformers Learn? A Study in Length Generalization.

Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua M. Susskind, Samy Bengio, Preetum Nakkiran

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Vanishing Gradients in Reinforcement Finetuning of Language Models.

Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin

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.

Pascal Tikeng Notsawo Jr., Hattie Zhou, Mohammad Pezeshki, Irina Rish, Guillaume Dumas

CoRR, 2023

2022

Teaching Algorithmic Reasoning via In-context Learning.

Hattie Zhou, Azade Nova, Hugo Larochelle, Aaron C. Courville, Behnam Neyshabur, Hanie Sedghi

CoRR, 2022

Fortuitous Forgetting in Connectionist Networks.

Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville

Proceedings of the Tenth International Conference on Learning Representations, 2022

2019

Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask.

Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski

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.

Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019