Naomi Saphra

Orcid: 0000-0001-8607-3515

According to our database1, Naomi Saphra authored at least 30 papers between 2013 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Knowing Your Nonlinearities: Shapley Interactions Reveal the Underlying Structure of Data.
CoRR, 2024

Dynamic Masking Rate Schedules for MLM Pretraining.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
A taxonomy and review of generalization research in NLP.
Nat. Mac. Intell., October, 2023

Towards out-of-distribution generalization in large-scale astronomical surveys: robust networks learn similar representations.
CoRR, 2023

Attribute Diversity Determines the Systematicity Gap in VQA.
CoRR, 2023

First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models.
CoRR, 2023

TRAM: Bridging Trust Regions and Sharpness Aware Minimization.
CoRR, 2023

Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs.
CoRR, 2023

Latent State Models of Training Dynamics.
CoRR, 2023

Linear Connectivity Reveals Generalization Strategies.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks.
CoRR, 2022

State-of-the-art generalisation research in NLP: a taxonomy and review.
CoRR, 2022

Learning Transductions to Test Systematic Compositionality.
CoRR, 2022

The MultiBERTs: BERT Reproductions for Robustness Analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Benchmarking Compositionality with Formal Languages.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
A Non-Linear Structural Probe.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Word Interdependence Exposes How LSTMs Compose Representations.
CoRR, 2020

LSTMS Compose - and Learn - Bottom-Up.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Pareto Probing: Trading Off Accuracy for Complexity.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Understanding Privacy-Related Questions on Stack Overflow.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
How to Evaluate Word Representations of Informal Domain?
CoRR, 2019

Sparsity Emerges Naturally in Neural Language Models.
CoRR, 2019

Understanding Learning Dynamics Of Language Models with SVCCA.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Language Models Learn POS First.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017
DyNet: The Dynamic Neural Network Toolkit.
CoRR, 2017

2016
Evaluating Informal-Domain Word Representations With UrbanDictionary.
CoRR, 2016

Evaluating Informal-Domain Word Representations With UrbanDictionary.
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

2015
AMRICA: an AMR Inspector for Cross-language Alignments.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014
Understanding Objects in Detail with Fine-Grained Attributes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
A Framework for (Under)specifying Dependency Syntax without Overloading Annotators.
Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, 2013


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