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12/22/2022
Understanding and Improving the Role of Projection Head in Self-Supervised Learning
Self-supervised learning (SSL) aims to produce useful feature representa...
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11/10/2022
DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games
Pictionary, the popular sketch-based guessing game, provides an opportun...
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06/22/2022
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices
Federated Learning (FL) is a machine learning paradigm to distributively...
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06/23/2020
Post-hoc Calibration of Neural Networks
Calibration of neural networks is a critical aspect to consider when inc...
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06/23/2020
Calibration of Neural Networks using Splines
Calibrating neural networks is of utmost importance when employing them ...
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06/19/2020
Learning Minimax Estimators via Online Learning
We consider the problem of designing minimax estimators for estimating t...
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03/30/2020
Improved Gradient based Adversarial Attacks for Quantized Networks
Neural network quantization has become increasingly popular due to effic...
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10/18/2019
Mirror Descent View for Neural Network Quantization
Quantizing large Neural Networks (NN) while maintaining the performance ...
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09/30/2019
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
We present a new approach for a single view, image-based object pose est...
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11/20/2018
Attentive Neural Architecture Incorporating Song Features For Music Recommendation
Recommender Systems are an integral part of music sharing platforms. Oft...
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06/20/2018
