Alona Fyshe - RankMe

65 papers A* 9A 2B 4C 1Journal 33Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Offline Preference Optimization via Maximum Marginal Likelihood Estimation. EACL (Volume 1: Long Papers) Saeed Najafi, Alona Fyshe
2025	A*	`conf`	Finding Shared Decodable Concepts and their Negations in the Brain. ICLR Cory Daniel Efird, Alex Murphy, Joel Zylberberg, Alona Fyshe
2025	—	`conf`	Neural Network Sparsity in Brain-Body-Machine Interfaces. ICORR Laura C. Petrich, Samuel Neumann, Patrick M. Pilarski, Alona Fyshe
2025	J	`jnl`	Offline Preference Optimization via Maximum Marginal Likelihood Estimation. CoRR Saeed Najafi, Alona Fyshe
2025	J	`jnl`	Understanding the Staged Dynamics of Transformers in Learning Latent Structure. CoRR Rohan Saha, Farzane Aminmansour, Alona Fyshe
2024	—	`conf`	Characterizing Human and Zero-Shot GPT-3.5 Object-Similarity Judgments. NAACL-HLT (Findings) D. McKnight, Alona Fyshe
2024	J	`jnl`	Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks. CoRR Alex Murphy, Joel Zylberberg, Alona Fyshe
2024	B	`conf`	DISTO: Textual Distractors for Multiple Choice Reading Comprehension Questions using Negative Sampling. EDM Bilal Ghanem, Alona Fyshe
2024	J	`jnl`	Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training. CoRR Rohan Saha, Abrar Fahim, Alona Fyshe, Alex Murphy
2024	J	`jnl`	Exploring Temporal Sensitivity in the Brain Using Multi-timescale Language Models: An EEG Decoding Study. Comput. Linguistics Sijie Ling, Alex Murphy, Alona Fyshe
2024	J	`jnl`	Its Not a Modality Gap: Characterizing and Addressing the Contrastive Gap. CoRR Abrar Fahim, Alex Murphy, Alona Fyshe
2024	—	`conf`	RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models. ACL (Findings) Saeed Najafi, Alona Fyshe
2024	J	`jnl`	RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models. CoRR Saeed Najafi, Alona Fyshe
2024	—	`conf`	SoftSkillQG: Robust Skill-Targeted Reading Comprehension Question Generation Using Soft-prompts. Canadian AI Spencer McIntosh von der Ohe, Alona Fyshe
2024	J	`jnl`	What's the Opposite of a Face? Finding Shared Decodable Concepts and their Negations in the Brain. CoRR Cory Efird, Alex Murphy, Joel Zylberberg, Alona Fyshe
2023	J	`jnl`	Better Handling Coreference Resolution in Aspect Level Sentiment Classification by Fine-Tuning Language Models. CoRR Dhruv Mullick, Bilal Ghanem, Alona Fyshe
2023	J	`jnl`	DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach. CoRR Bilal Ghanem, Alona Fyshe
2023	J	`jnl`	Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models. CoRR Cory Efird, Alex Murphy, Joel Zylberberg, Alona Fyshe
2023	A*	`conf`	Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers. EMNLP Daniela Teodorescu, Tiffany Cheng, Alona Fyshe, Saif M. Mohammad
2023	J	`jnl`	Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers. CoRR Daniela Teodorescu, Tiffany Cheng, Alona Fyshe, Saif M. Mohammad
2023	—	`conf`	Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age. WASSA@ACL Daniela Teodorescu, Alona Fyshe, Saif M. Mohammad
2023	J	`jnl`	Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age. CoRR Daniela Teodorescu, Alona Fyshe, Saif M. Mohammad
2023	A	`conf`	Weakly-Supervised Questions for Zero-Shot Relation Extraction. EACL Saeed Najafi, Alona Fyshe
2023	J	`jnl`	Weakly-Supervised Questions for Zero-Shot Relation Extraction. CoRR Saeed Najafi, Alona Fyshe
2022	J	`jnl`	Different Spectral Representations in Optimized Artificial Neural Networks and Brains. CoRR Richard C. Gerum, Cassidy Pirlot, Alona Fyshe, Joel Zylberberg
2022	J	`jnl`	Discriminative Models Can Still Outperform Generative Models in Aspect Based Sentiment Analysis. CoRR Dhruv Mullick, Alona Fyshe, Bilal Ghanem
2022	J	`jnl`	Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer. CoRR Cassidy Pirlot, Richard C. Gerum, Cory Efird, Joel Zylberberg, Alona Fyshe
2022	J	`jnl`	Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization. CoRR Liam Peet-Pare, Nidhi Hegde, Alona Fyshe
2022	J	`jnl`	No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. CoRR Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
2022	J	`jnl`	No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. Trans. Mach. Learn. Res. Han Wang, Archit Sakhadeo, Adam M. White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
2022	B	`conf`	Predicting Reading Comprehension Scores of Elementary School Students. EDM Yuyang Nie, Helene Deacon, Alona Fyshe, Carrie Demmans Epp
2022	—	`conf`	Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask. ACL (Findings) Bilal Ghanem, Lauren Lutz Coleman, Julia Rivard Dexter, Spencer McIntosh von der Ohe, Alona Fyshe
2022	J	`jnl`	Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask. CoRR Bilal Ghanem, Lauren Lutz Coleman, Julia Rivard Dexter, Spencer McIntosh von der Ohe, Alona Fyshe
2022	A*	`conf`	Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum. ICLR Kirby Banman, Liam Peet-Pare, Nidhi Hegde, Alona Fyshe, Martha White
2022	J	`jnl`	Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum. CoRR Kirby Banman, Liam Peet-Pare, Nidhi Hegde, Alona Fyshe, Martha White
2021	J	`jnl`	Predictive Representation Learning for Language Modeling. CoRR Qingfeng Lan, Luke Kumar, Martha White, Alona Fyshe
2021	B	`conf`	Which acoustic features support the language-cognition link in infancy: A machine-learning approach. CogSci Joseph C. Y. Lau, Alona Fyshe, Sandra Waxman
2021	J	`jnl`	Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural Networks. Neural Networks Dhanush Dharmaretnam, Chris Foster, Alona Fyshe
2020	—	`conf`	From Language to Language-ish: How Brain-Like is an LSTM's Representation of Atypical Language Stimuli? EMNLP (Findings) Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe
2020	J	`jnl`	From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli? CoRR Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe
2020	J	`jnl`	Improved object recognition using neural networks trained to mimic the brain's statistical properties. Neural Networks Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg
2020	A*	`conf`	Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. ICLR Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
2020	J	`jnl`	Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. CoRR Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
2019	J	`jnl`	Training neural networks to have brain-like representations improves object recognition performance. CoRR Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg
2018	C	`conf`	Decoding Music in the Human Brain Using EEG Data. MMSP Chris Foster, Dhanush Dharmaretnam, Haoyan Xu, Alona Fyshe, George Tzanetakis
2018	—	`conf`	Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models. BlackboxNLP@EMNLP Avery Hiebert, Cole Peterson, Alona Fyshe, Nishant A. Mehta
2018	—	`conf`	Social and Emotional Correlates of Capitalization on Twitter. PEOPLES@NAACL-HTL Sophia Chan, Alona Fyshe
2018	—	`conf`	The Emergence of Semantics in Neural Network Representations of Visual Information. NAACL-HLT (2) Dhanush Dharmaretnam, Alona Fyshe
2017	—	`conf`	Ensemble Methods for Native Language Identification. BEA@EMNLP Sophia Chan, Maryam Honari Jahromi, Benjamin Benetti, Aazim Lakhani, Alona Fyshe
2016	A*	`conf`	BrainBench: A Brain-Image Test Suite for Distributional Semantic Models. EMNLP Haoyan Xu, Brian Murphy, Alona Fyshe
2016	A*	`conf`	Poet Admits // Mute Cypher: Beam Search to find Mutually Enciphering Poetic Texts. EMNLP Cole Peterson, Alona Fyshe
2015	—	`conf`	A Compositional and Interpretable Semantic Space. HLT-NAACL Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell
2014	J	`jnl`	Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments. Big Data Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos
2014	A*	`conf`	Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments. KDD Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos
2014	—	`conf`	Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning. ACL (1) Alona Fyshe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell
2013	B	`conf`	Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition. CoNLL Alona Fyshe, Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell
2012	A	`conf`	Hierarchical Latent Dictionaries for Models of Brain Activation. AISTATS Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M. Mitchell
2012	J	`jnl`	Tracking neural coding of perceptual and semantic features of concrete nouns. NeuroImage Gustavo P. Sudre, Dean Pomerleau, Mark Palatucci, Leila Wehbe, Alona Fyshe, Riitta Salmelin, Tom M. Mitchell
2008	J	`jnl`	Improving subcellular localization prediction using text classification and the gene ontology. Bioinform. Alona Fyshe, Yifeng Liu, Duane Szafron, Russell Greiner, Paul Lu
2006	—	`conf`	Term Generalization and Synonym Resolution for Biological Abstracts: Using the Gene Ontology for Subcellular Localization Prediction. BioNLP@NAACL-HLT Alona Fyshe, Duane Szafron
2006	A*	`conf`	Visual Explanation of Evidence with Additive Classifiers. AAAI Brett Poulin, Roman Eisner, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Cam Macdonell, John Anvik
2005	J	`jnl`	PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization. Nucleic Acids Res. Paul Lu, Duane Szafron, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Brett Poulin, Roman Eisner, Danny Ngo, Nicholas Lamb
2005	A*	`conf`	The Proteome Analyst Suite of Automated Function Prediction Tools. AAAI Brett Poulin, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Roman Eisner, Alona Fyshe, Brandon Pearcy, Luca Pireddu
2004	J	`jnl`	Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations. Nucleic Acids Res. Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Brett Poulin, Roman Eisner, Zhiyong Lu, John Anvik, Cam Macdonell, Alona Fyshe, David Meeuwis
2004	—	`conf`	Trellis Driver: Distributing a Java Workflow across a Network of Workstations. ICPP Workshops Nicholas Lamb, Paul Lu, Alona Fyshe