Jesse Mu
Jesse Mu
PhD Student in Computer Science, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Parkinson's disease subtypes identified from cluster analysis of motor and non-motor symptoms
J Mu, KR Chaudhuri, C Bielza, J de Pedro-Cuesta, P Larraņaga, ...
Frontiers in aging neuroscience 9, 301, 2017
632017
Compositional explanations of neurons
J Mu, J Andreas
arXiv preprint arXiv:2006.14032, 2020
282020
Shaping visual representations with language for few-shot classification
J Mu, P Liang, N Goodman
arXiv preprint arXiv:1911.02683, 2019
172019
Learning outside the box: Discourse-level features improve metaphor identification
J Mu, H Yannakoudakis, E Shutova
arXiv preprint arXiv:1904.02246, 2019
92019
Do we need natural language? Exploring restricted language interfaces for complex domains
J Mu, A Sarkar
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
72019
Learning to refer informatively by amortizing pragmatic reasoning
J White, J Mu, ND Goodman
arXiv preprint arXiv:2006.00418, 2020
62020
The Meta-Science of Adult Statistical Word Segmentation: Part 1
JK Hartshorne, L Skorb, SL Dietz, CR Garcia, GL Iozzo, KE Lamirato, ...
Collabra: Psychology 5 (1), 2019
22019
Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering
J Mu, JK Hartshorne, T O’Donnell
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
12017
Calibrate your listeners! Robust communication-based training for pragmatic speakers
RE Wang, J White, J Mu, ND Goodman
arXiv preprint arXiv:2110.05422, 2021
2021
Multi-party referential communication in complex strategic games
J Mankewitz, V Boyce, B Waldon, G Loukatou, D Yu, J Mu, ND Goodman, ...
PsyArXiv, 2021
2021
Emergent Communication of Generalizations
J Mu, N Goodman
arXiv preprint arXiv:2106.02668, 2021
2021
Unsupervised learning of VerbNet argument structure.
J Mu, T O'Donnell, JK Hartshorne
CogSci, 2016
2016
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Articles 1–12