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De, Abir

  1. GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
    2021/02/27 by Krishnateja Killamsetty, Durga Sivasubramanian, Killamsetty, Krishnateja +7 · 48 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  2. Differentiable Learning Under Triage
    2021/03/16 by Nastaran Okati, Okati, Nastaran, Abir De +3 · 9 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Topic Modeling
  3. Learning and Forecasting Opinion Dynamics in Social Networks
    2015/06/17 by Abir De, Isabel Valera, De, Abir +7 · 5 citations
    Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Human Mobility and Location-Based Analysis #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  4. Regression Under Human Assistance
    2019/09/06 by Abir De, De, Abir, Nastaran Okati +7 · 5 citations
    Computer Science · #Imbalanced Data Classification Techniques #Machine Learning and Algorithms #Machine Learning and Data Classification
  5. Classification Under Human Assistance
    2020/06/21 by Abir De, De, Abir, Nastaran Okati +5 · 5 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  6. Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
    2021/08/15 by Anshul Nasery, Soumyadeep Thakur, Nasery, Anshul +7 · 5 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  7. NeVAE: A Deep Generative Model for Molecular Graphs
    2018/02/14 by Samanta, Bidisha, De, Abir, Jana, Gourhari +3 · 2 citations
    #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Physics and Society (physics.soc-ph)
  8. Learning to Switch Among Agents in a Team via 2-Layer Markov Decision Processes
    2020/02/11 by Vahid Balazadeh, Abir De, Balazadeh, Vahid +5 · 2 citations
    Computer Science · Decision Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Electrical engineering #Game Theory and Applications #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #electronic engineering #information engineering
  9. Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
    2022/02/17 by Gupta, Vinayak, Bedathur, Srikanta, De, Abir · 2 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  10. Counterfactual Explanations in Sequential Decision Making Under\n Uncertainty
    2021/07/06 by Stratis Tsirtsis, Tsirtsis, Stratis, Abir De +3 · 2 citations
    Computer Science · Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Computers and Society (cs.CY) #Decision-Making and Behavioral Economics #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Steering Social Activity: A Stochastic Optimal Control Point Of View
    2018/02/19 by Ali Zarezade, Zarezade, Ali, Abir De +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #Diffusion and Search Dynamics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Stochastic processes and statistical mechanics
  12. Deep Reinforcement Learning of Marked Temporal Point Processes
    2018/05/23 by Upadhyay, Utkarsh, De, Abir, Gomez-Rodriguez, Manuel · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  13. Adversarial Permutation Guided Node Representations for Link Prediction
    2020/12/13 by Indradyumna Roy, Roy, Indradyumna, Abir De +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  14. Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
    2024/01/27 by Lokesh Nagalapatti, Nagalapatti, Lokesh, Akshay Iyer +5 · 1 citation
    Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Flow Measurement and Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Microwave Imaging and Scattering Analysis