Publications

Biologically inspired learning
Neural architecture search
Computational personality
  1. Preview of An Empirical Study of Perturbation Based Algorithms for Training Deep Networks
    An Empirical Study of Perturbation Based Algorithms for Training Deep Networks
    Yash Mehta, Naoki Hiratani, Peter Latham,  and Timothy Lillicrap
    In preparation 2025
  2. Preview of Model-Based Inference of Synaptic Plasticity Rules
    Model-Based Inference of Synaptic Plasticity Rules
    Yash Mehta, Dan Tyulmankov, Adithya Rajagopalan, James Fitzgerald,  and Jan Funke
    Advances in Neural Information Processing Systems (NeurIPS) 2024
  3. Preview of Stability and Scalability of Node Perturbation Learning
    Stability and Scalability of Node Perturbation Learning
    Naoki Hiratani, Yash Mehta, Timothy Lillicrap,  and Peter Latham
    Advances in Neural Information Processing Systems (NeurIPS) 2022
  4. Preview of NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
    NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
    Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari,  and Frank Hutter
    International Conference on Learning Representations (ICLR) 2022
  5. Preview of Future-generation Personality Prediction from Digital Footprints
    Future-generation Personality Prediction from Digital Footprints
    Yash Mehta, Clemens Stachl, Konstantin Markov, Joseph T Yun,  and Björn W Schuller
    Future Generation Computer Systems 2022
  6. Preview of Towards Biologically Plausible Convolutional Networks
    Towards Biologically Plausible Convolutional Networks
    Roman Pogodin, Yash Mehta, Timothy Lillicrap,  and Peter Latham
    Advances in Neural Information Processing Systems (NeurIPS) 2021
  7. Preview of Recent Trends in Deep Learning Based Personality Detection
    Recent Trends in Deep Learning Based Personality Detection
    Yash Mehta, Navonil Majumder, Alexander Gelbukh,  and Erik Cambria
    Artificial Intelligence Review 2020
  8. Preview of Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features
    Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features
    Yash Mehta, Samin Fatehi, Amirmohammad Kazameini, Clemens Stachl,  and Erik Cambria
    IEEE International Conference on Data Mining (ICDM) 2020
  9. Preview of Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles
    Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles
    Amirmohammad Kazameini, Samin Fatehi, Yash Mehta, Sauleh Eetemadi,  and Erik Cambria
    ACL Workshop on Widening NLP (WiNLP) 2020
  10. Preview of Multitask Learning for Emotion and Personality Detection
    Multitask Learning for Emotion and Personality Detection
    Yang Li, Amirmohammad Kazameini, Yash Mehta,  and Erik Cambria
    Neurocomputing 2020