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Andrey Zhmoginov

  1. Transformers learn in-context by gradient descent
    2022/12/15 by Johannes von Oswald, von Oswald, Johannes, Eyvind Niklasson +11 · 6 voices · 154 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #cs.AI #cs.CL #cs.LG
  2. CycleGAN, a Master of Steganography
    2017/12/08 by Casey Chu, Andrey Zhmoginov, Chu, Casey +4 · 2 voices · 20 citations
    Computer Science · Mathematics · #Advanced Steganography and Watermarking Techniques #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) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML
  3. HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
    2022/01/11 by Andrey Zhmoginov, Mark Sandler, Zhmoginov, Andrey +3 · 1 voice · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
  4. Training trajectories, mini-batch losses and the curious role of the learning rate
    2023/01/05 by M. Sandler, Andrey Zhmoginov, Sandler, Mark +5 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  5. Image segmentation via Cellular Automata
    2020/08/11 by M. Sandler, Andrey Zhmoginov, Sandler, Mark +9 · 4 citations
    Computer Science · Engineering · #Advanced Numerical Analysis Techniques #Cellular Automata and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
  6. K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning
    2018/10/25 by Pramod Kaushik Mudrakarta, M. Sandler, Mudrakarta, Pramod Kaushik +5 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
  7. Fine-tuning Image Transformers using Learnable Memory
    2022/03/29 by Mark Sandler, Andrey Zhmoginov, Sandler, Mark +5 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques
  8. Long Context In-Context Compression by Getting to the Gist of Gisting
    2025/04/11 by Aleksandar Petrov, Petrov, Aleksandar, M. Sandler +7 · 5 citations
    Computer Science · #Video Analysis and Summarization
  9. How new data permeates LLM knowledge and how to dilute it
    2025/04/13 by Chen Sun, Renat Aksitov, Sun, Chen +12 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Library Science and Information Systems #Natural Language Processing Techniques #Semantic Web and Ontologies
  10. The Power of Sparsity in Convolutional Neural Networks
    2017/02/21 by Soravit Changpinyo, Changpinyo, Soravit, Mark Sandler +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  11. MELODI: Exploring Memory Compression for Long Contexts
    2024/10/04 by Yinpeng Chen, Chen, Yinpeng, Hutchins, DeLesley +8 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques