Pradeep Dubey

1. A Study of BFLOAT16 for Deep Learning Training
   2019/05/29 by Dhiraj Kalamkar, Dheevatsa Mudigere, Kalamkar, Dhiraj +35 · 61 citations
   Computer Science · Mathematics · #Advanced Neural Network Applications #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Tensor decomposition and applications
2. FP8 Formats for Deep Learning
   2022/09/12 by Paulius Micikevicius, Micikevicius, Paulius, Dušan Stošić +29 · 3 voices · 46 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #CCD and CMOS Imaging Sensors #Neural Networks and Applications #cs.LG
3. Microscaling Data Formats for Deep Learning
   2023/10/16 by Bita Darvish Rouhani, Ritchie Zhao, Rouhani, Bita Darvish +59 · 49 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural Networks and Applications #Parallel Computing and Optimization Techniques
4. Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
   2016/02/22 by Dipankar Das, Das, Dipankar, Sasikanth Avancha +13 · 1 voice · 6 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC) #cs.DC #cs.LG
5. Mixed Precision Training of Convolutional Neural Networks using Integer Operations
   2018/02/03 by Dipankar Das, Naveen Mellempudi, Das, Dipankar +31 · 16 citations
   Computer Science · Mathematics · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Numerical Analysis (math.NA) #Tensor decomposition and applications
6. BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies
   2015/11/21 by Shihao Ji, Ji, Shihao, S. V. N. Vishwanathan +7 · 1 voice · 7 citations
   Computer Science · Mathematics · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG #cs.NE #stat.ML
7. Faster CNNs with Direct Sparse Convolutions and Guided Pruning
   2016/08/04 by Jongsoo Park, Park, Jongsoo, Sheng Li +11 · 12 citations
   Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Advanced SAR Imaging Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
8. Value Theory Without Efficiency
   1981/02/01 by Pradeep Dubey, Abraham Neyman, Robert James Weber · 4 citations
9. Parallelizing Word2Vec in Multi-Core and Many-Core Architectures
   2016/11/18 by Shihao Ji, Nadathur Satish, Ji, Shihao +5 · 1 voice
   Computer Science · Mathematics · #Natural Language Processing Techniques #Network Packet Processing and Optimization #Topic Modeling #cs.DC #stat.ML
10. Ternary Neural Networks with Fine-Grained Quantization
    2017/05/02 by Naveen Mellempudi, Abhisek Kundu, Mellempudi, Naveen +9 · 8 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
11. MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure
    2020/06/05 by Fangke Ye, Shengtian Zhou, Ye, Fangke +24 · 2 voices · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Software Engineering (cs.SE) #Topic Modeling #Web Data Mining and Analysis #cs.LG #cs.SE #stat.ML
12. Grading exams: or ?
    2010/05/01 by Pradeep Dubey, John Geanakoplos · 1 citation
13. On Scale-out Deep Learning Training for Cloud and HPC
    2018/01/24 by Srinivas Sridharan, Sridharan, Srinivas, Karthikeyan Vaidyanathan +19 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Parallel Computing and Optimization Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)