Devon Jarvis

According to our database, Devon Jarvis authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Revisiting the Role of Relearning in Semantic Dementia.

Devon Jarvis, Verena Klar, Richard Klein, Benjamin Rosman, Andrew M. Saxe

CoRR, March, 2025

A Theory of Initialisation's Impact on Specialisation.

Devon Jarvis, Sebastian Lee, Clémentine Carla Juliette Dominé, Andrew M. Saxe, Stefano Sarao Mannelli

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks.

Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Investigating the Impact of Language-Adaptive Fine-Tuning on Sentiment Analysis in Hausa Language Using AfriBERTa.

Sani Abdullahi Sani, Shamsuddeen Hassan Muhammad, Devon Jarvis

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning.

Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies.

Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On The Specialization of Neural Modules.

Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Skill Machines: Temporal Logic Composition in Reinforcement Learning.

Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman

CoRR, 2022

Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning.

Nathan Michlo, Devon Jarvis, Richard Klein, Steven James

CoRR, 2022