Choromanska, Anna

1. Explaining How a Deep Neural Network Trained with End-to-End Learning\n Steers a Car
   2017/04/25 by Mariusz Bojarski, Philip Yeres, Bojarski, Mariusz +14 · 3 voices · 19 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Autonomous Vehicle Technology and Safety #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.CV #cs.LG #cs.NE #cs.RO
2. The Loss Surfaces of Multilayer Networks
   2014/11/30 by Anna Choromanska, Choromanska, Anna, Mikael Henaff +7 · 133 citations
   Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Random Matrices and Applications
3. Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
   2016/11/06 by Pratik Chaudhari, Anna Choromanska, Chaudhari, Pratik +15 · 56 citations
   Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications
4. Deep learning with Elastic Averaging SGD
   2014/12/20 by Sixin Zhang, Zhang, Sixin, Anna Choromanska +3 · 6 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
5. Logarithmic Time Online Multiclass prediction
   2014/06/06 by Anna Choromanska, Choromanska, Anna, John Langford +1 · 5 citations
   Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Imbalanced Data Classification Techniques
6. Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape
   2022/01/20 by Devansh Bisla, Bisla, Devansh, Jing Wang +3 · 5 citations
   Computer Science · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
7. VisualBackProp: efficient visualization of CNNs
   2016/11/16 by Mariusz Bojarski, Anna Choromanska, Bojarski, Mariusz +11 · 3 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
8. Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
   2018/06/24 by Anna Choromanska, Benjamin Cowen, Choromanska, Anna +19 · 6 citations
   Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and ELM #Domain Adaptation and Few-Shot Learning
9. Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models: Extension
   2019/05/24 by Yunfei Teng, Wenbo Gao, Teng, Yunfei +9 · 3 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
10. Backdoor Attacks on the DNN Interpretation System
    2020/11/21 by Fang, Shihong, Choromanska, Anna · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
11. Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation
    2016/10/14 by Jernite, Yacine, Choromanska, Anna, Sontag, David · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
12. A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization
    2025/01/24 by Jing Wang, Wang, Jing, Anna Choromanska +1 · 3 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms
13. TAME: Task Agnostic Continual Learning using Multiple Experts
    2022/10/08 by Zhu, Haoran, Majzoubi, Maryam, Jain, Arihant +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
14. Invertible Autoencoder for domain adaptation
    2018/02/10 by Yunfei Teng, Teng, Yunfei, Anna Choromanska +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Multimodal Machine Learning Applications #electronic engineering #information engineering
15. GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models
    2024/03/07 by Dimlioglu, Tolga, Choromanska, Anna · 2 citations
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)