Vineeth N Balasubramanian

Talks (Selected)

• Moving beyond an Afterthought: Toward Learning via Explanations, Invited Talk, CVPR Workshop on XAI (XAI4CV), Jun 2024
  

• Expanding the Horizons of Continual Learning: Integrating Explainability and Privacy-Awareness, Invited Talk, CVPR Workshop on Continual Learning (CLVISION), Jun 2024
  

• AI/ML: Imperatives, Opportunities, Threats, Invited Talk, INAE National Technology Day Celebrations, May 2024
  

• Crystal Balls vs Critical Thinkers: AI systems can predict, but can they reason?, Popular Science Lecture aVenues (PSLV) at IIT-H, Apr 2024
  

• Going Beyond the Known: Detecting Unknown Categories in Computer Vision, Invited Talk at NCC 2024, Mar 2024; IIT-Bombay, Apr 2024; SPCOM 2024, Jul 2024
  

• Moving from Post-hoc to Ante-hoc Explainability in Deep Learning Models, Invited Talk, Microsoft Research-Wadhwani-UPenn Workshop on Trustworthy AI, Jan 2023
  

• Going Beyond Traditional Supervised Learning: Towards Organic Lifelong Learning, Invited Talk, Amazon Research Days, Nov 2022
  

• Causal Perspectives in Neural Network Explanations, Invited Talk, Banff International Workshop on Interpretability in Artificial Intelligence, Banff, Canada, May 2022
  

• Explainability in Deep Learning, Invited Tutorial, ACM International Conference on Data Science & Management of Data (CODS-COMAD), Jan 2022 (YouTube)
  

• Explaining Neural Networks: A Causal Perspective, Invited Talk at IIT-Palakkad Data Science Talk series, Aug 2021
  

• Explaining Neural Networks: A Causal Perspective, Invited Talk at IIT-M RBCDSAI Conference on Deployable AI (XAI), Jun 2021 (YouTube)
  

• Explaining Neural Networks: A Causal Perspective, MILA Tea Talks, Feb 2021
  

• Deep Learning with Limited Labeled Data, WADLA (IIIT-Sri City), Feb 2021
  

• Deep Learning: An Introduction and Recent Trends, ISRO Inertial Systems Unit, Feb 2021
  

• Explaining Neural Networks: A Causal Perspective, NVIDIA GTC 2020 (Fall), Oct 2020
  

• Introduction to Deep Learning and its Applications, INS Valsura Webinar on AI for Data-Driven Navy, Indian Navy, Oct 2020
  

• Regulations for Responsible AI and Explainable AI, RAISE Summit (organized by NITI Aayog, Govt of India), Oct 2020
  

• Towards Explainable and Robust AI Practice, CII-IITH Power Talks 2.0 and Tech Edu Forum, Oct 2020
  

• Object Detection Methods in Computer Vision, VSSC, Indian Space Research Organization, Sep 2020
  

• Explaining Neural Networks: A Causal Perspective, Invited Talk, SPCOM 2020 (Virtual Conference), Jul 2020
  

• Towards Explainable AI, NPTEL Live Series (Online), Apr 2020
  (Video)

• Learning from Limited Labeled Data, Microsoft AI and Research & Facebook AI Research, CA, USA, Feb 2020; Microsoft, Hyderabad, May 2020
  

• Zero-shot Task Transfer, CODS-COMAD Invited Paper Talk, Jan 2020; CVPR AC Workshop, San Diego, Feb 2020
  

• Explaining Neural Networks: A Causal Perspective, MSR-LinkedIn-IISc FATE-ML Workshop, Bangalore, Jan 2020; Microsoft Research India, Bangalore, Feb 2020
  

• Solving Next Generation of ML Problems: Learning from Limited Labeled Data, KLA Neoterix Conference, Keynote Talk, Chennai, Sep 2019; IBM Research India Labs, Feb 2020
  

• Neural Network Attributions: A Causal Perspective, IIT-Madras, Jun 2019; IIT-Kanpur, Jul 2019
  

• Towards Explainable Deep Learning, IIIT-Delhi, Mar 2019; IIT-ACB, Bangalore, May 2019; IISc Brain, Computation and Learning Workshop, Jun 2019
  

• Zero-shot Task Transfer, IITH-RIKEN AI Workshop, IIT-Hyderabad, Mar 2019
  

• Towards Explainable Deep Learning, AIST AIRC International Workshop, Tokyo, Feb 2019
  

• Towards Explainable Deep Learning, NVIDIA AI Workshop, Bangalore, Feb 2019
  

• Explainability in Machine/Deep Learning, IBM India Research Labs, Bangalore, Dec 2018
  

• Towards Solving Next-Gen ML Problems: Learning with Weak Supervision, Intel ICTAI Workshop, Bangalore, Nov 2018
  

• Machine Learning for Agriculture, International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS2018), Keynote Talk, Mumbai, Oct 2018
  

• Towards Solving Next-Gen ML Problems: Learning with Weak Supervision, NVIDIA DevConnect, Hyderabad, Sep 2018
  

• Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data, ACCV Area Chairs Workshop, Nanyang Technological University, Sep 2018
  

• Going beyond what and asking why: Explainability in Machine/Deep Learning, Anthill Inside 2018, Bangalore, Jul 2018
  (Video)

• Optimization Methods in Deep Learning, 3rd Indian Workshop on Machine Learning, IIT-BHU, Jul 2018
  

• Deep Generative Models for Annotated Image/Video Creation, NEC Labs, Cupertino, CA, Mar 2018
  

• Deep Generative Models for Video Creation, NVIDIA GTC 2018, San Jose, CA, Mar 2018
  

• Explainability in Deep Learning: Grad-CAM, Google AI/ML Workshop, Bangalore, Mar 2018
  

• Recent Advances in Deep Learning Theory and Applications, Adobe, Noida, Feb 2018
  

• Deep Learning: A Review, Microsoft Research-ACM Academic Research Summit, Hyderabad, Jan 2018
  (Video)