Kartik Gupta

According to our database1, Kartik Gupta authored at least 23 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
CoRR, 2024

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection.
CoRR, 2024

Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022
Understanding and Improving the Role of Projection Head in Self-Supervised Learning.
CoRR, 2022

Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices.
CoRR, 2022

DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Note: Leveraging Artificial Intelligence to build a Data Catalog and support research on the Sustainable Development Goals.
Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

Improved Gradient-Based Adversarial Attacks for Quantized Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Calibration of Neural Networks using Splines.
Proceedings of the 9th International Conference on Learning Representations, 2021

Mirror Descent View for Neural Network Quantization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Post-hoc Calibration of Neural Networks.
CoRR, 2020

Learning Minimax Estimators via Online Learning.
CoRR, 2020

2019
Near-contact grasping strategies from awkward poses: When simply closing your fingers is not enough<sup>*</sup>.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints.
CoRR, 2018

Attentive neural architecture incorporating song features for music recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation.
Proceedings of the Advances in Information Retrieval, 2018

2017
Nearly Optimal Robust Matrix Completion.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Lexical state analyzer for JavaCC grammars.
Softw. Pract. Exp., 2016

Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Scale Invariant Human Action Detection from Depth Cameras Using Class Templates.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Human Action Recognition for Depth Cameras via Dynamic Frame Warping.
Proceedings of International Conference on Computer Vision and Image Processing, 2016

2013
Lexical State Analyzer.
CoRR, 2013


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