Richard Diehl Martinez

According to our database, Richard Diehl Martinez authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes.

Zebulon Goriely, Richard Diehl Martinez, Andrew Caines, Lisa Beinborn, Paula Buttery

CoRR, 2024

Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies.

Suchir Salhan, Richard Diehl Martinez, Zebulon Goriely, Paula Buttery

CoRR, 2024

Tending Towards Stability: Convergence Challenges in Small Language Models.

Richard Diehl Martinez, Pietro Lesci, Paula Buttery

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing.

Richard Diehl Martinez, Zebulon Goriely, Andrew Caines, Paula Buttery, Lisa Beinborn

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

CLIMB: Curriculum Learning for Infant-inspired Model Building.

Richard Diehl Martinez, Zebulon Goriely, Hope McGovern, Christopher Davis, Andrew Caines, Paula Buttery, Lisa Beinborn

CoRR, 2023

2021

Attention-based Contextual Language Model Adaptation for Speech Recognition.

Richard Diehl Martinez, Scott Novotney, Ivan Bulyko, Ariya Rastrow, Andreas Stolcke, Ankur Gandhe

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Automatically Neutralizing Subjective Bias in Text.

Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Via: Illuminating Academic Pathways at Scale.

Geoffrey Angus, Richard Diehl Martinez, Mitchell L. Stevens, Andreas Paepcke

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

2018

Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods.

Richard Diehl Martinez, Geoffrey Angus, Rooz Mahdavian

CoRR, 2018

Using General Adversarial Networks for Marketing: A Case Study of Airbnb.

Richard Diehl Martinez, John Kaleialoha Kamalu

CoRR, 2018

Ignition: An End-to-End Supervised Model for Training Simulated Self-Driving Vehicles.

Rooz Mahdavian, Richard Diehl Martinez

CoRR, 2018

Theory of Machine Networks: A Case Study.

Rooz Mahdavian, Richard Diehl Martinez

CoRR, 2018