Kudithipudi, Dhireesha

1. Continual Learning and Catastrophic Forgetting
   2024/03/08 by Gido M. van de Ven, van de Ven, Gido M., Nicholas Soures +3 · 20 citations
   Neuroscience · #Artificial Intelligence (cs.AI) #Cognitive Science and Education Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
2. NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
   2023/04/10 by Jason Yik, Yik, Jason, Korneel Van den Berghe +208 · 1 voice · 10 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing #cs.AI
3. Deep Positron: A Deep Neural Network Using the Posit Number System
   2018/12/05 by Carmichael, Zachariah, Langroudi, Hamed F., Khazanov, Char +3 · 3 citations
   #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Parallel #and Cluster Computing (cs.DC)
4. On the Statistical Challenges of Echo State Networks and Some Potential Remedies
   2018/02/20 by Wu, Qiuyi, Fokoue, Ernest, Kudithipudi, Dhireesha · 2 citations
   #62F40 #62G90 #62M10 #62M15 #62M20 #62M45 #68T05 #68T10 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT
   2021/04/06 by Langroudi, Hamed F., Karia, Vedant, Pandit, Tej +1 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Design Principles for Lifelong Learning AI Accelerators
   2023/10/05 by Dhireesha Kudithipudi, Anurag Daram, Kudithipudi, Dhireesha +21 · 1 citation
   Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
7. TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
   2024/08/16 by Nicholas Soures, Peter Helfer, Soures, Nicholas +7 · 1 citation
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)