Stanisław Jastrzȩbski

1. Parameter-Efficient Transfer Learning for NLP
   2019/02/02 by Neil Houlsby, Houlsby, Neil, Andrei Giurgiu +13 · 383 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
2. A Closer Look at Memorization in Deep Networks
   2017/06/16 by Devansh Arpit, Stanisław Jastrzȩbski, Arpit, Devansh +19 · 69 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Three Factors Influencing Minima in SGD
   2017/11/13 by Stanisław Jastrzȩbski, Zachary Kenton, Jastrzębski, Stanisław +11 · 68 citations
   Biochemistry, Genetics and Molecular Biology · #Sexual Differentiation and Disorders
4. Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks
   2022/02/10 by Nan Wu, Wu, Nan, Stanisław Jastrzȩbski +5 · 11 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
5. Residual Connections Encourage Iterative Inference
   2017/10/13 by Stanisław Jastrzȩbski, Jastrzębski, Stanisław, Devansh Arpit +9 · 6 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
6. Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift
   2019/04/06 by Michał Zając, Konrad Żołna, Zając, Michał +3 · 3 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
7. Differences between human and machine perception in medical diagnosis
   2020/11/28 by Taro Makino, Stanisław Jastrzȩbski, Makino, Taro +39 · 1 citation
   Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
8. Learning to Compute Word Embeddings On the Fly
   2017/06/01 by Dzmitry Bahdanau, Bahdanau, Dzmitry, Tom Bosc +9 · 1 citation
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling