Publications

2024

1. In prep

   ArchVision: How far can you model biological vision solely with architecture and local learning?

   Yash Mehta, Atlas Kazemian, Colin Conwell, and Michael Bonner

   In 2024

   Bib Code

   @inproceedings{mehta2024archvision,
     title = {ArchVision: How far can you model biological vision solely with architecture and local learning?},
     author = {Mehta, Yash and Kazemian, Atlas and Conwell, Colin and Bonner, Michael},
     year = {2024},
   }

2. In prep

   An Empirical Study of Perturbation Based Algorithms for Training Deep Networks

   Yash Mehta, Naoki Hiratani, Peter Latham, and Timothy Lillicrap

   In 2024

   Bib Code

   @inproceedings{mehta2024empirical,
     title = {An Empirical Study of Perturbation Based Algorithms for Training Deep Networks},
     author = {Mehta, Yash and Hiratani, Naoki and Latham, Peter and Lillicrap, Timothy},
     year = {2024},
   }

2023

1. Biorxiv

   Model-Based Inference of Synaptic Plasticity Rules

   Yash Mehta, Dan Tyulmankov, Adithya Rajagopalan, James Fitzgerald, and 1 more author

   In 2023

   Bib PDF Code

   @inproceedings{mehta2023model,
     title = {Model-Based Inference of Synaptic Plasticity Rules},
     author = {Mehta, Yash and Tyulmankov, Dan and Rajagopalan, Adithya and Fitzgerald, James and Funke, Jan},
     year = {2023},
   }

2022

1. ICLR

   NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy

   Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, and 5 more authors

   In International Conference on Learning Representations (ICLR) 2022

   Bib PDF Code

   @inproceedings{mehta2022bench,
     title = {NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy},
     author = {Mehta, Yash and White, Colin and Zela, Arber and Krishnakumar, Arjun and Zabergja, Guri and Moradian, Shakiba and Safari, Mahmoud and Yu, Kaicheng and Hutter, Frank},
     booktitle = {International Conference on Learning Representations (ICLR)},
     year = {2022},
   }

2. NeurIPS

   Stability and Scalability of Node Perturbation Learning

   Naoki Hiratani, Yash Mehta, Timothy Lillicrap, and Peter Latham

   In Advances in Neural Information Processing Systems (NeurIPS) 2022

   Bib PDF Code

   @inproceedings{hiratani2022stability,
     title = {Stability and Scalability of Node Perturbation Learning},
     author = {Hiratani, Naoki and Mehta, Yash and Lillicrap, Timothy and Latham, Peter},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2022},
   }

3. FGCS

   Future-generation personality prediction from digital footprints

   Yash Mehta, Clemens Stachl, Konstantin Markov, Joseph T Yun, and 1 more author

   Future Generation Computer Systems 2022

   Bib Website

   @article{mehta2022future,
     title = {Future-generation personality prediction from digital footprints},
     author = {Mehta, Yash and Stachl, Clemens and Markov, Konstantin and Yun, Joseph T and Schuller, Bj{\"o}rn W},
     journal = {Future Generation Computer Systems},
     volume = {136},
     year = {2022},
     publisher = {Elsevier},
   }

2021

1. NeurIPS

   Towards Biologically Plausible Convolutional Networks

   Roman Pogodin, Yash Mehta, Timothy Lillicrap, and Peter Latham

   In Advances in Neural Information Processing Systems (NeurIPS) 2021

   Bib PDF Code

   @inproceedings{pogodin2021towards,
     title = {Towards Biologically Plausible Convolutional Networks},
     author = {Pogodin, Roman and Mehta, Yash and Lillicrap, Timothy and Latham, Peter},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     volume = {34},
     year = {2021},
   }

2020

1. Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles

   In ACL WiNLP Workshop 2020

   Code
2. IEEE ICDM

   Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features

   Yash Mehta, Samin Fatehi, Amirmohammad Kazameini, Clemens Stachl, and 1 more author

   In 2020 IEEE International Conference on Data Mining (ICDM) 2020

   Bib PDF Code

   @inproceedings{mehta2020bottom,
     title = {Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features},
     author = {Mehta, Yash and Fatehi, Samin and Kazameini, Amirmohammad and Stachl, Clemens and Cambria, Erik},
     booktitle = {2020 IEEE International Conference on Data Mining (ICDM)},
     pages = {1184--1189},
     year = {2020},
   }

3. Neurocomputing

   Multitask learning for emotion and personality detection

   Yang Li, Amirmohammad Kazameini, Yash Mehta, and Erik Cambria

   Neurocomputing 2020

   Bib PDF Code

   @article{li2020multitask,
     title = {Multitask learning for emotion and personality detection},
     author = {Li, Yang and Kazameini, Amirmohammad and Mehta, Yash and Cambria, Erik},
     journal = {Neurocomputing},
     year = {2020},
   }

2019

1. AIRE

   Recent Trends in Deep Learning Based Personality Detection

   Yash Mehta, Navonil Majumder, Alexander Gelbukh, and Erik Cambria

   Artificial Intelligence Review 2019

   Bib PDF

   @article{mehta2019recent,
     title = {Recent Trends in Deep Learning Based Personality Detection},
     author = {Mehta, Yash and Majumder, Navonil and Gelbukh, Alexander and Cambria, Erik},
     journal = {Artificial Intelligence Review},
     volume = {53},
     pages = {2313--2339},
     year = {2019},
   }