Pezeshki, Mohammad

1. Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
   2017/01/10 by Ying Zhang, Zhang, Ying, Mohammad Pezeshki +10 · 1 voice · 4 citations
   Computer Science · #Music and Audio Processing #Speech Recognition and Synthesis #Speech and Audio Processing #cs.CL #cs.LG #stat.ML
2. Gradient Starvation: A Learning Proclivity in Neural Networks
   2020/11/18 by Mohammad Pezeshki, Pezeshki, Mohammad, Sékou-Oumar Kaba +9 · 21 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks #Domain Adaptation and Few-Shot Learning
3. Simple data balancing achieves competitive worst-group-accuracy
   2021/10/27 by Badr Youbi Idrissi, Martín Arjovsky, Idrissi, Badr Youbi +5 · 9 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
4. Negative Momentum for Improved Game Dynamics
   2018/07/12 by Gauthier Gidel, Gidel, Gauthier, Reyhane Askari Hemmat +11 · 11 citations
   Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
5. Steering Large Language Model Activations in Sparse Spaces
   2025/02/28 by Bayat, Reza, Rahimi-Kalahroudi, Ali, Pezeshki, Mohammad +2 · 22 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Feedback-guided Data Synthesis for Imbalanced Classification
   2023/09/29 by Reyhane Askari Hemmat, Mohammad Zakaria Pezeshki, Hemmat, Reyhane Askari +7 · 7 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
7. Improving the Scaling Laws of Synthetic Data with Deliberate Practice
   2025/02/21 by Askari-Hemmat, Reyhane, Pezeshki, Mohammad, Dohmatob, Elvis +6 · 9 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok
   2023/06/23 by Notsawo, Pascal Jr. Tikeng, Zhou, Hattie, Pezeshki, Mohammad +2 · 3 citations
   #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG)
9. The Pitfalls of Memorization: When Memorization Hurts Generalization
   2024/12/10 by Reza Bayat, Bayat, Reza, Mohammad Pezeshki +7 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
10. Theano: A Python framework for fast computation of mathematical expressions
    2016/05/09 by The Theano Development Team, Al-Rfou, Rami, Alain, Guillaume +110 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Symbolic Computation (cs.SC)
11. Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
    2016/06/03 by Krueger, David, Maharaj, Tegan, Kramár, János +7 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
12. Discovering environments with XRM
    2023/09/28 by Pezeshki, Mohammad, Bouchacourt, Diane, Ibrahim, Mark +3 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
13. On the Learning Dynamics of Deep Neural Networks
    2018/09/18 by Tachet, Remi, Pezeshki, Mohammad, Shabanian, Samira +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
14. Compositional Risk Minimization
    2024/10/08 by Divyat Mahajan, Mahajan, Divyat, Mohammad Zakaria Pezeshki +8 · 2 citations
    Economics, Econometrics and Finance · Medicine · #Artificial Intelligence (cs.AI) #Biotechnology and Related Fields #FOS: Computer and information sciences #Machine Learning (cs.LG) #Market Dynamics and Volatility
15. Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification
    2025/02/11 by Donhauser, Konstantin, Arnal, Charles, Pezeshki, Mohammad +3 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)