vix.ing · top · new · best · stats · spec

Das, Dipankar

  1. A Study of BFLOAT16 for Deep Learning Training
    2019/05/29 by Dhiraj Kalamkar, Kalamkar, Dhiraj, Dheevatsa Mudigere +35 · 47 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. Mixed Precision Training of Convolutional Neural Networks using Integer Operations
    2018/02/03 by Dipankar Das, Naveen Mellempudi, Das, Dipankar +31 · 12 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
  3. Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
    2016/02/22 by Dipankar Das, Sasikanth Avancha, Das, Dipankar +13 · 1 voice · 1 citation
    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
  4. Out-of-Distribution Detection Using an Ensemble of Self Supervised\n Leave-out Classifiers
    2018/09/04 by Apoorv Vyas, Vyas, Apoorv, Nataraj Jammalamadaka +9 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point
    2017/01/31 by Naveen Mellempudi, Mellempudi, Naveen, Abhisek Kundu +7 · 1 voice · 2 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Robotics and Sensor-Based Localization #cs.LG #cs.NE
  6. GraphMat: High performance graph analytics made productive
    2015/03/25 by Sundaram, Narayanan, Satish, Nadathur Rajagopalan, Patwary, Md Mostofa Ali +4 · 3 citations
    #Databases (cs.DB) #Distributed #FOS: Computer and information sciences #Parallel #Performance (cs.PF) #and Cluster Computing (cs.DC)
  7. Changing Views: Persuasion Modeling and Argument Extraction from Online Discussions
    2019/07/13 by Dutta, Subhabrata, Das, Dipankar, Chakraborty, Tanmoy · 3 citations
    #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  8. Ternary Neural Networks with Fine-Grained Quantization
    2017/05/02 by Naveen Mellempudi, Abhisek Kundu, Mellempudi, Naveen +9 · 6 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)
  9. Sentiment Identification in Code-Mixed Social Media Text
    2017/07/04 by Ghosh, Souvick, Ghosh, Satanu, Das, Dipankar · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  10. Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAILCode-Mixed Shared Task @ICON-2017
    2018/03/18 by Patra, Braja Gopal, Das, Dipankar, Das, Amitava · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  11. Development of POS tagger for English-Bengali Code-Mixed data
    2020/07/29 by Tathagata Raha, Raha, Tathagata, Sainik Kumar Mahata +5 · 1 citation
    Computer Science · #Algorithms and Data Compression #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  12. Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
    2021/03/18 by Qin, Eric, Jeong, Geonhwa, Won, William +7 · 1 citation
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  13. Sign of the hZZ coupling and implication for new physics
    2024/02/14 by D. Das, Anirban Kundu, Das, Dipankar +9 · 1 citation
    Physics and Astronomy · #Dark Matter and Cosmic Phenomena #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Particle physics theoretical and experimental studies #Quantum Chromodynamics and Particle Interactions
  14. On Scale-out Deep Learning Training for Cloud and HPC
    2018/01/24 by Srinivas Sridharan, Sridharan, Srinivas, Karthikeyan Vaidyanathan +19 · 1 citation
    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)
  15. Drell-Yan constraints on charged scalars: a weak isospin perspective
    2025/01/16 by Avik Banerjee, Dipankar Das, Banerjee, Avik +5 · 1 citation
    Physics and Astronomy · #Black Holes and Theoretical Physics #Cosmology and Gravitation Theories #Quantum Chromodynamics and Particle Interactions