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2020 – today
- 2024
[c28]Saeed Najafi, Alona Fyshe:
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models. ACL (Findings) 2024: 1447-1466- [c27]Bilal Ghanem, Alona Fyshe:
DISTO: Textual Distractors for Multiple Choice Reading Comprehension Questions using Negative Sampling. EDM 2024 - [c26]D. McKnight, Alona Fyshe:
Characterizing Human and Zero-Shot GPT-3.5 Object-Similarity Judgments. NAACL-HLT (Findings) 2024: 3810-3828 - [i22]Saeed Najafi, Alona Fyshe:
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models. CoRR abs/2403.02271 (2024) - [i21]Alex Murphy
, Joel Zylberberg, Alona Fyshe:
Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks. CoRR abs/2405.01012 (2024) - [i20]Cory Efird, Alex Murphy, Joel Zylberberg, Alona Fyshe:
What's the Opposite of a Face? Finding Shared Decodable Concepts and their Negations in the Brain. CoRR abs/2405.17663 (2024) - [i19]Abrar Fahim, Alex Murphy, Alona Fyshe:
Its Not a Modality Gap: Characterizing and Addressing the Contrastive Gap. CoRR abs/2405.18570 (2024) - [i18]Rohan Saha, Abrar Fahim, Alona Fyshe, Alex Murphy:
Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training. CoRR abs/2410.15509 (2024) - 2023
- [c25]Saeed Najafi, Alona Fyshe:
Weakly-Supervised Questions for Zero-Shot Relation Extraction. EACL 2023: 3067-3079 - [c24]Daniela Teodorescu, Tiffany Cheng, Alona Fyshe, Saif M. Mohammad:
Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers. EMNLP 2023: 3117-3133 - [c23]Daniela Teodorescu, Alona Fyshe, Saif M. Mohammad:
Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age. WASSA@ACL 2023: 401-415 - [i17]Saeed Najafi, Alona Fyshe:
Weakly-Supervised Questions for Zero-Shot Relation Extraction. CoRR abs/2301.09640 (2023) - [i16]Bilal Ghanem, Alona Fyshe:
DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach. CoRR abs/2304.04881 (2023) - [i15]Cory Efird, Alex Murphy, Joel Zylberberg, Alona Fyshe:
Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models. CoRR abs/2306.03375 (2023) - [i14]Daniela Teodorescu, Alona Fyshe, Saif M. Mohammad:
Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age. CoRR abs/2306.05387 (2023) - [i13]Dhruv Mullick, Bilal Ghanem, Alona Fyshe:
Better Handling Coreference Resolution in Aspect Level Sentiment Classification by Fine-Tuning Language Models. CoRR abs/2307.05646 (2023) - [i12]Daniela Teodorescu, Tiffany Cheng, Alona Fyshe, Saif M. Mohammad:
Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers. CoRR abs/2310.17369 (2023) - 2022
- [j8]Han Wang, Archit Sakhadeo, Adam M. White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White:
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. Trans. Mach. Learn. Res. 2022 (2022) - [c22]Bilal Ghanem, Lauren Lutz Coleman, Julia Rivard Dexter, Spencer McIntosh von der Ohe, Alona Fyshe:
Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask. ACL (Findings) 2022: 2131-2146 - [c21]Yuyang Nie, Helene Deacon, Alona Fyshe, Carrie Demmans Epp:
Predicting Reading Comprehension Scores of Elementary School Students. EDM 2022 - [c20]Kirby Banman, Liam Peet-Pare, Nidhi Hegde, Alona Fyshe, Martha White:
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum. ICLR 2022 - [i11]Kirby Banman, Liam Peet-Pare, Nidhi Hegde, Alona Fyshe, Martha White:
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum. CoRR abs/2203.11992 (2022) - [i10]Bilal Ghanem, Lauren Lutz Coleman, Julia Rivard Dexter, Spencer McIntosh von der Ohe, Alona Fyshe:
Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask. CoRR abs/2204.02908 (2022) - [i9]Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White:
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. CoRR abs/2205.08716 (2022) - [i8]Dhruv Mullick, Alona Fyshe, Bilal Ghanem:
Discriminative Models Can Still Outperform Generative Models in Aspect Based Sentiment Analysis. CoRR abs/2206.02892 (2022) - [i7]Liam Peet-Pare, Nidhi Hegde, Alona Fyshe:
Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization. CoRR abs/2207.05777 (2022) - [i6]Richard C. Gerum, Cassidy Pirlot, Alona Fyshe, Joel Zylberberg:
Different Spectral Representations in Optimized Artificial Neural Networks and Brains. CoRR abs/2208.10576 (2022) - [i5]Cassidy Pirlot, Richard C. Gerum, Cory Efird, Joel Zylberberg, Alona Fyshe:
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer. CoRR abs/2209.02582 (2022) - 2021
- [j7]Dhanush Dharmaretnam, Chris Foster, Alona Fyshe:
Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural Networks. Neural Networks 137: 63-74 (2021) - [c19]Joseph C. Y. Lau, Alona Fyshe, Sandra Waxman:
Which acoustic features support the language-cognition link in infancy: A machine-learning approach. CogSci 2021 - [i4]Qingfeng Lan, Luke Kumar, Martha White, Alona Fyshe:
Predictive Representation Learning for Language Modeling. CoRR abs/2105.14214 (2021) - 2020
- [j6]Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg:
Improved object recognition using neural networks trained to mimic the brain's statistical properties. Neural Networks 131: 103-114 (2020) - [c18]Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe:
From Language to Language-ish: How Brain-Like is an LSTM's Representation of Atypical Language Stimuli? EMNLP (Findings) 2020: 645-656 - [c17]Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White:
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. ICLR 2020 - [i3]Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White:
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. CoRR abs/2002.06487 (2020) - [i2]Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe:
From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli? CoRR abs/2010.07435 (2020)
2010 – 2019
- 2019
- [i1]Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg:
Training neural networks to have brain-like representations improves object recognition performance. CoRR abs/1905.10679 (2019) - 2018
- [c16]Sophia Chan, Alona Fyshe:
Social and Emotional Correlates of Capitalization on Twitter. PEOPLES@NAACL-HTL 2018: 10-15 - [c15]Avery Hiebert, Cole Peterson, Alona Fyshe, Nishant A. Mehta:
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models. BlackboxNLP@EMNLP 2018: 258-266 - [c14]Chris Foster, Dhanush Dharmaretnam, Haoyan Xu, Alona Fyshe, George Tzanetakis:
Decoding Music in the Human Brain Using EEG Data. MMSP 2018: 1-6 - [c13]Dhanush Dharmaretnam, Alona Fyshe:
The Emergence of Semantics in Neural Network Representations of Visual Information. NAACL-HLT (2) 2018: 776-780 - 2017
- [c12]Sophia Chan, Maryam Honari Jahromi, Benjamin Benetti, Aazim Lakhani, Alona Fyshe:
Ensemble Methods for Native Language Identification. BEA@EMNLP 2017: 217-223 - 2016
- [c11]Cole Peterson, Alona Fyshe:
Poet Admits // Mute Cypher: Beam Search to find Mutually Enciphering Poetic Texts. EMNLP 2016: 1339-1347 - [c10]Haoyan Xu, Brian Murphy, Alona Fyshe:
BrainBench: A Brain-Image Test Suite for Distributional Semantic Models. EMNLP 2016: 2017-2021 - 2015
- [c9]Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell:
A Compositional and Interpretable Semantic Space. HLT-NAACL 2015: 32-41 - 2014
- [j5]Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos:
Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments. Big Data 2(4): 216-229 (2014) - [c8]Alona Fyshe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell:
Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning. ACL (1) 2014: 489-499 - [c7]Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos:
Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments. KDD 2014: 95-104 - 2013
- [c6]Alona Fyshe, Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell:
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition. CoNLL 2013: 84-93 - 2012
- [j4]Gustavo P. Sudre, Dean Pomerleau, Mark Palatucci, Leila Wehbe, Alona Fyshe, Riitta Salmelin, Tom M. Mitchell:
Tracking neural coding of perceptual and semantic features of concrete nouns. NeuroImage 62(1): 451-463 (2012) - [c5]Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M. Mitchell:
Hierarchical Latent Dictionaries for Models of Brain Activation. AISTATS 2012: 409-421
2000 – 2009
- 2008
- [j3]Alona Fyshe, Yifeng Liu, Duane Szafron, Russell Greiner, Paul Lu:
Improving subcellular localization prediction using text classification and the gene ontology. Bioinform. 24(21): 2512-2517 (2008) - 2006
- [c4]Brett Poulin, Roman Eisner, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Cam Macdonell, John Anvik:
Visual Explanation of Evidence with Additive Classifiers. AAAI 2006: 1822-1829 - [c3]Alona Fyshe, Duane Szafron:
Term Generalization and Synonym Resolution for Biological Abstracts: Using the Gene Ontology for Subcellular Localization Prediction. BioNLP@NAACL-HLT 2006: 17-24 - 2005
- [j2]Paul Lu, Duane Szafron, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Brett Poulin, Roman Eisner, Danny Ngo, Nicholas Lamb:
PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization. Nucleic Acids Res. 33(Database-Issue): 147-153 (2005) - [c2]Brett Poulin, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Roman Eisner, Alona Fyshe, Brandon Pearcy, Luca Pireddu:
The Proteome Analyst Suite of Automated Function Prediction Tools. AAAI 2005: 1698-1699 - 2004
- [j1]Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Brett Poulin, Roman Eisner, Zhiyong Lu, John Anvik, Cam Macdonell, Alona Fyshe, David Meeuwis:
Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations. Nucleic Acids Res. 32(Web-Server-Issue): 365-371 (2004) - [c1]Nicholas Lamb, Paul Lu, Alona Fyshe:
Trellis Driver: Distributing a Java Workflow across a Network of Workstations. ICPP Workshops 2004: 198-205
Coauthor Index
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last updated on 2024-11-27 20:32 CET by the dblp team
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