Goswami, Dipam

1. FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
   2023/09/25 by Goswami, Dipam, Liu, Yuyang, Twardowski, Bartłomiej +1 · 12 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
   2024/05/29 by Dipam Goswami, Albin Soutif--Cormerais, Goswami, Dipam +9 · 5 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning
3. Exemplar-free Continual Representation Learning via Learnable Drift Compensation
   2024/07/11 by Alex Gomez-Villa, Dipam Goswami, Gomez-Villa, Alex +9 · 4 citations
   Computer Science · #Blind Source Separation Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and ELM
4. Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
   2022/10/13 by Dipam Goswami, René Schuster, Goswami, Dipam +5 · 3 citations
   Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
5. Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
   2024/08/02 by Lu Yu, Zhe Tao, Yu, Lu +9 · 2 citations
   Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
6. Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
   2024/04/09 by Goswami, Dipam, Twardowski, Bartłomiej, van de Weijer, Joost · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences