Finding Shared Decodable Concepts and their Negations in the Brain. - Efird, Cory Daniel; Murphy, Alex; Zylberberg, Joel; Fyshe, Alona (2025)

Neural Network Sparsity in Brain-Body-Machine Interfaces. - Petrich, Laura C.; Neumann, Samuel; Pilarski, Patrick M.; Fyshe, Alona (2025)

Exploring Temporal Sensitivity in the Brain Using Multi-timescale Language Models: An EEG Decoding Study. - Ling, Sijie; Murphy, Alex; Fyshe, Alona (Comput. Linguistics, 2024)

RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models. - Najafi, Saeed; Fyshe, Alona (2024)

SoftSkillQG: Robust Skill-Targeted Reading Comprehension Question Generation Using Soft-prompts. - Ohe, Spencer McIntosh von der; Fyshe, Alona (2024)

DISTO: Textual Distractors for Multiple Choice Reading Comprehension Questions using Negative Sampling. - Ghanem, Bilal; Fyshe, Alona (2024)

Characterizing Human and Zero-Shot GPT-3.5 Object-Similarity Judgments. - McKnight, D.; Fyshe, Alona (2024)

RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models. - Najafi, Saeed; Fyshe, Alona (CoRR, 2024)

Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks. - Murphy, Alex; Zylberberg, Joel; Fyshe, Alona (CoRR, 2024)

What's the Opposite of a Face? Finding Shared Decodable Concepts and their Negations in the Brain. - Efird, Cory; Murphy, Alex; Zylberberg, Joel; Fyshe, Alona (CoRR, 2024)

Its Not a Modality Gap: Characterizing and Addressing the Contrastive Gap. - Fahim, Abrar; Murphy, Alex; Fyshe, Alona (CoRR, 2024)

Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training. - Saha, Rohan; Fahim, Abrar; Fyshe, Alona; Murphy, Alex (CoRR, 2024)

Weakly-Supervised Questions for Zero-Shot Relation Extraction. - Najafi, Saeed; Fyshe, Alona (2023)

Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers. - Teodorescu, Daniela; Cheng, Tiffany; Fyshe, Alona; Mohammad, Saif M. (2023)

Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age. - Teodorescu, Daniela; Fyshe, Alona; Mohammad, Saif M. (2023)

Weakly-Supervised Questions for Zero-Shot Relation Extraction. - Najafi, Saeed; Fyshe, Alona (CoRR, 2023)

DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach. - Ghanem, Bilal; Fyshe, Alona (CoRR, 2023)

Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models. - Efird, Cory; Murphy, Alex; Zylberberg, Joel; Fyshe, Alona (CoRR, 2023)

Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age. - Teodorescu, Daniela; Fyshe, Alona; Mohammad, Saif M. (CoRR, 2023)

Better Handling Coreference Resolution in Aspect Level Sentiment Classification by Fine-Tuning Language Models. - Mullick, Dhruv; Ghanem, Bilal; Fyshe, Alona (CoRR, 2023)

Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers. - Teodorescu, Daniela; Cheng, Tiffany; Fyshe, Alona; Mohammad, Saif M. (CoRR, 2023)

No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. - Wang, Han; Sakhadeo, Archit; White, Adam M.; Bell, James; Liu, Vincent; Zhao, Xutong; Liu, Puer; Kozuno, Tadashi; Fyshe, Alona; White, Martha (Trans. Mach. Learn. Res., 2022)

Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask. - Ghanem, Bilal; Coleman, Lauren Lutz; Dexter, Julia Rivard; Ohe, Spencer McIntosh von der; Fyshe, Alona (2022)

Predicting Reading Comprehension Scores of Elementary School Students. - Nie, Yuyang; Deacon, Helene; Fyshe, Alona; Epp, Carrie Demmans (2022)

Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum. - Banman, Kirby; Peet-Pare, Liam; Hegde, Nidhi; Fyshe, Alona; White, Martha (2022)

Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum. - Banman, Kirby; Peet-Pare, Liam; Hegde, Nidhi; Fyshe, Alona; White, Martha (CoRR, 2022)

Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask. - Ghanem, Bilal; Coleman, Lauren Lutz; Dexter, Julia Rivard; Ohe, Spencer McIntosh von der; Fyshe, Alona (CoRR, 2022)

No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. - Wang, Han; Sakhadeo, Archit; White, Adam; Bell, James; Liu, Vincent; Zhao, Xutong; Liu, Puer; Kozuno, Tadashi; Fyshe, Alona; White, Martha (CoRR, 2022)

Discriminative Models Can Still Outperform Generative Models in Aspect Based Sentiment Analysis. - Mullick, Dhruv; Fyshe, Alona; Ghanem, Bilal (CoRR, 2022)

Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization. - Peet-Pare, Liam; Hegde, Nidhi; Fyshe, Alona (CoRR, 2022)

Different Spectral Representations in Optimized Artificial Neural Networks and Brains. - Gerum, Richard C.; Pirlot, Cassidy; Fyshe, Alona; Zylberberg, Joel (CoRR, 2022)

Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer. - Pirlot, Cassidy; Gerum, Richard C.; Efird, Cory; Zylberberg, Joel; Fyshe, Alona (CoRR, 2022)

Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural Networks. - Dharmaretnam, Dhanush; Foster, Chris; Fyshe, Alona (Neural Networks, 2021)

Which acoustic features support the language-cognition link in infancy: A machine-learning approach. - Lau, Joseph C. Y.; Fyshe, Alona; Waxman, Sandra (2021)

Predictive Representation Learning for Language Modeling. - Lan, Qingfeng; Kumar, Luke; White, Martha; Fyshe, Alona (CoRR, 2021)

Improved object recognition using neural networks trained to mimic the brain's statistical properties. - Federer, Callie; Xu, Haoyan; Fyshe, Alona; Zylberberg, Joel (Neural Networks, 2020)

From Language to Language-ish: How Brain-Like is an LSTM's Representation of Atypical Language Stimuli? - Hashemzadeh, Maryam; Kaufeld, Greta; White, Martha; Martin, Andrea E.; Fyshe, Alona (2020)

Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. - Lan, Qingfeng; Pan, Yangchen; Fyshe, Alona; White, Martha (2020)

Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. - Lan, Qingfeng; Pan, Yangchen; Fyshe, Alona; White, Martha (CoRR, 2020)

From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli? - Hashemzadeh, Maryam; Kaufeld, Greta; White, Martha; Martin, Andrea E.; Fyshe, Alona (CoRR, 2020)

Training neural networks to have brain-like representations improves object recognition performance. - Federer, Callie; Xu, Haoyan; Fyshe, Alona; Zylberberg, Joel (CoRR, 2019)

Social and Emotional Correlates of Capitalization on Twitter. - Chan, Sophia; Fyshe, Alona (2018)

Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models. - Hiebert, Avery; Peterson, Cole; Fyshe, Alona; Mehta, Nishant A. (2018)

Decoding Music in the Human Brain Using EEG Data. - Foster, Chris; Dharmaretnam, Dhanush; Xu, Haoyan; Fyshe, Alona; Tzanetakis, George (2018)

The Emergence of Semantics in Neural Network Representations of Visual Information. - Dharmaretnam, Dhanush; Fyshe, Alona (2018)

Ensemble Methods for Native Language Identification. - Chan, Sophia; Jahromi, Maryam Honari; Benetti, Benjamin; Lakhani, Aazim; Fyshe, Alona (2017)

Poet Admits // Mute Cypher: Beam Search to find Mutually Enciphering Poetic Texts. - Peterson, Cole; Fyshe, Alona (2016)

BrainBench: A Brain-Image Test Suite for Distributional Semantic Models. - Xu, Haoyan; Murphy, Brian; Fyshe, Alona (2016)

A Compositional and Interpretable Semantic Space. - Fyshe, Alona; Wehbe, Leila; Talukdar, Partha Pratim; Murphy, Brian; Mitchell, Tom M. (2015)

Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments. - Papalexakis, Evangelos E.; Fyshe, Alona; Sidiropoulos, Nicholas D.; Talukdar, Partha Pratim; Mitchell, Tom M.; Faloutsos, Christos (Big Data, 2014)

Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning. - Fyshe, Alona; Talukdar, Partha Pratim; Murphy, Brian; Mitchell, Tom M. (2014)

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments. - Papalexakis, Evangelos E.; Fyshe, Alona; Sidiropoulos, Nicholas D.; Talukdar, Partha Pratim; Mitchell, Tom M.; Faloutsos, Christos (2014)

Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition. - Fyshe, Alona; Murphy, Brian; Talukdar, Partha Pratim; Mitchell, Tom M. (2013)

Tracking neural coding of perceptual and semantic features of concrete nouns. - Sudre, Gustavo P.; Pomerleau, Dean; Palatucci, Mark; Wehbe, Leila; Fyshe, Alona; Salmelin, Riitta; Mitchell, Tom M. (NeuroImage, 2012)

Hierarchical Latent Dictionaries for Models of Brain Activation. - Fyshe, Alona; Fox, Emily B.; Dunson, David B.; Mitchell, Tom M. (2012)

Improving subcellular localization prediction using text classification and the gene ontology. - Fyshe, Alona; Liu, Yifeng; Szafron, Duane; Greiner, Russell; Lu, Paul (Bioinform., 2008)

Visual Explanation of Evidence with Additive Classifiers. - Poulin, Brett; Eisner, Roman; Szafron, Duane; Lu, Paul; Greiner, Russell; Wishart, David S.; Fyshe, Alona; Pearcy, Brandon; Macdonell, Cam; Anvik, John (2006)

Term Generalization and Synonym Resolution for Biological Abstracts: Using the Gene Ontology for Subcellular Localization Prediction. - Fyshe, Alona; Szafron, Duane (2006)

PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization. - Lu, Paul; Szafron, Duane; Greiner, Russell; Wishart, David S.; Fyshe, Alona; Pearcy, Brandon; Poulin, Brett; Eisner, Roman; Ngo, Danny; Lamb, Nicholas (Nucleic Acids Res., 2005)

The Proteome Analyst Suite of Automated Function Prediction Tools. - Poulin, Brett; Szafron, Duane; Lu, Paul; Greiner, Russell; Wishart, David S.; Eisner, Roman; Fyshe, Alona; Pearcy, Brandon; Pireddu, Luca (2005)

Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations. - Szafron, Duane; Lu, Paul; Greiner, Russell; Wishart, David S.; Poulin, Brett; Eisner, Roman; Lu, Zhiyong; Anvik, John; Macdonell, Cam; Fyshe, Alona; Meeuwis, David (Nucleic Acids Res., 2004)

Trellis Driver: Distributing a Java Workflow across a Network of Workstations. - Lamb, Nicholas; Lu, Paul; Fyshe, Alona (2004)