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On Causal Inference for Data-free Structured Pruning



Martin Ferianc , Anush Sankaran , Olivier Mastropietro , Ehsan Saboori , Quentin Cappart

* Accepted to ITCI'22: The AAAI-22 Workshop on Information-Theoretic Methods for Causal Inference and Discovery 

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Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization



Anush Sankaran , Olivier Mastropietro , Ehsan Saboori , Yasser Idris , Davis Sawyer , MohammadHossein AskariHemmat , Ghouthi Boukli Hacene

* "IAAI Deployed Application Award", IAAI 2021 @ AAAI 2021 

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Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks



Naveen Panwar , Tarun Tater , Anush Sankaran , Senthil Mani

* Added appendix with additional results 

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"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets



Ameya Prabhu , Riddhiman Dasgupta , Anush Sankaran , Srikanth Tamilselvam , Senthil Mani

* NeurIPS 2019, New in ML Group 

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AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework



Raunak Sinha , Anush Sankaran , Mayank Vatsa , Richa Singh

* NeurIPS 2019, MLSys: Workshop on Systems for ML 

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Coverage Testing of Deep Learning Models using Dataset Characterization



Senthil Mani , Anush Sankaran , Srikanth Tamilselvam , Akshay Sethi


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A Visual Programming Paradigm for Abstract Deep Learning Model Development



Srikanth Tamilselvam , Naveen Panwar , Shreya Khare , Rahul Aralikatte , Anush Sankaran , Senthil Mani


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On Matching Faces with Alterations due to Plastic Surgery and Disguise



Saksham Suri , Anush Sankaran , Mayank Vatsa , Richa Singh

* The 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018) 

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Explaining Deep Learning Models using Causal Inference



Tanmayee Narendra , Anush Sankaran , Deepak Vijaykeerthy , Senthil Mani


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Sanskrit Sandhi Splitting using $\pmb{seq2(seq)^2}$



Rahul Aralikatte , Neelamadhav Gantayat , Naveen Panwar , Anush Sankaran , Senthil Mani

* Accepted in EMNLP 2018 

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