Alona Fyshe
Orcid: 0000-0003-4367-0306
According to our database1,
Alona Fyshe
authored at least 44 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
Better Handling Coreference Resolution in Aspect Level Sentiment Classification by Fine-Tuning Language Models.
CoRR, 2023
Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models.
CoRR, 2023
DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach.
CoRR, 2023
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023
Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
2022
Trans. Mach. Learn. Res., 2022
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer.
CoRR, 2022
Different Spectral Representations in Optimized Artificial Neural Networks and Brains.
CoRR, 2022
Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization.
CoRR, 2022
Discriminative Models Can Still Outperform Generative Models in Aspect Based Sentiment Analysis.
CoRR, 2022
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural Networks.
Neural Networks, 2021
Which acoustic features support the language-cognition link in infancy: A machine-learning approach.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
2020
Improved object recognition using neural networks trained to mimic the brain's statistical properties.
Neural Networks, 2020
From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?
CoRR, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
From Language to Language-ish: How Brain-Like is an LSTM's Representation of Atypical Language Stimuli?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
2019
Training neural networks to have brain-like representations improves object recognition performance.
CoRR, 2019
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018
Proceedings of the Second Workshop on Computational Modeling of People's Opinions, 2018
2017
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017
2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2015
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
Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments.
Big Data, 2014
Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013
2012
NeuroImage, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
2008
Improving subcellular localization prediction using text classification and the gene ontology.
Bioinform., 2008
2006
Term Generalization and Synonym Resolution for Biological Abstracts: Using the Gene Ontology for Subcellular Localization Prediction.
Proceedings of the Workshop on Linking Natural Language and Biology, 2006
Proceedings of the Proceedings, 2006
2005
PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization.
Nucleic Acids Res., 2005
Proceedings of the Proceedings, 2005
2004
Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations.
Nucleic Acids Res., 2004
Proceedings of the 33rd International Conference on Parallel Processing Workshops (ICPP 2004 Workshops), 2004