Cohen, Shay B.

18 publications

ICLR 2025 DEPfold: RNA Secondary Structure Prediction as Dependency Parsing. Ke Wang, Shay B Cohen

ICML 2025 PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B Cohen, David Krueger, Fazl Barez

AutoML 2025 Transferrable Surrogates in Expressive Neural Architecture Search Spaces Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson

NeurIPS 2024 Einspace: Searching for Neural Architectures from Fundamental Operations Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley

JAIR 2024 On the Trade-Off Between Redundancy and Cohesiveness in Extractive Summarization Ronald Cardenas, Matthias Galle, Shay B. Cohen

NeurIPS 2024 Spectral Editing of Activations for Large Language Model Alignment Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen

TMLR 2022 Nonparametric Learning of Two-Layer ReLU Residual Units Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B Cohen

ICLR 2020 Compositional Languages Emerge in a Neural Iterated Learning Model Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby

IJCAI 2020 Learning Latent Forests for Medical Relation Extraction Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen

JAIR 2019 What Is This Article About? Extreme Summarization with Topic-Aware Convolutional Neural Networks Shashi Narayan, Shay B. Cohen, Mirella Lapata

AAAI 2018 Canonical Correlation Inference for Mapping Abstract Scenes to Text Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen

AISTATS 2016 Low-Rank Approximation of Weighted Tree Automata Guillaume Rabusseau, Borja Balle, Shay B. Cohen

JMLR 2014 Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle Ungar

NeurIPS 2012 Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs Michael Collins, Shay B. Cohen

JMLR 2010 Covariance in Unsupervised Learning of Probabilistic Grammars Shay B. Cohen, Noah A. Smith

NeurIPS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars Noah A. Smith, Shay B. Cohen

NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction Shay B. Cohen, Kevin Gimpel, Noah A. Smith

IJCAI 2005 Feature Selection Based on the Shapley Value Shay B. Cohen, Eytan Ruppin, Gideon Dror