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Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits


Jun 25, 2021
Kaushik Roy, Qi Zhang, Manas Gaur, Amit Sheth

* Accepted for publication in the research track at ECML-PKDD 2021 

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NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems


Jun 23, 2021
Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy

* 10 pages, 9 figures 

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NLP is Not enough -- Contextualization of User Input in Chatbots


May 13, 2021
Nathan Dolbir, Triyasha Dastidar, Kaushik Roy


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"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit


May 12, 2021
Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit Sheth


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Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks


Apr 29, 2021
Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy


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eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket


Mar 29, 2021
Usha Lokala, Francois Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit Sheth

* 6 pages, ICLR AI for Public Health Workshop 2021 

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Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures


Mar 19, 2021
Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy


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Gradient Projection Memory for Continual Learning


Mar 17, 2021
Gobinda Saha, Isha Garg, Kaushik Roy

* International Conference on Learning Representations (ICLR), 2021 
* Accepted for Oral Presentation at ICLR 2021 https://openreview.net/forum?id=3AOj0RCNC2 

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Knowledge Infused Policy Gradients for Adaptive Pandemic Control


Feb 11, 2021
Kaushik Roy, Qi Zhang, Manas Gaur, Amit Sheth

* Accepted at AAAI-MAKE 2021 

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"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision


Feb 01, 2021
Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit Sheth

* Accepted to AAAI-2021 Symposium 

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Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection


Dec 15, 2020
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy


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DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks


Oct 05, 2020
Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy

* The first two authors contributed equally to this paper 

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Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks?


Aug 27, 2020
Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy

* Currenlty Under Review at NeurIPS 2020 

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DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks


Aug 09, 2020
Nitin Rathi, Kaushik Roy


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TREND: Transferability based Robust ENsemble Design


Aug 04, 2020
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy


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Towards Understanding the Effect of Leak in Spiking Neural Networks


Jun 15, 2020
Sayeed Shafayet Chowdhury, Chankyu Lee, Kaushik Roy

* Sayeed Shafayet Chowdhury and Chankyu Lee contributed equally 

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Fitted Q-Learning for Relational Domains


Jun 10, 2020
Srijita Das, Sriraam Natarajan, Kaushik Roy, Ronald Parr, Kristian Kersting

* 10 pages, 12 figures 

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Conditionally Deep Hybrid Neural Networks Across Edge and Cloud


May 21, 2020
Yinghan Long, Indranil Chakraborty, Kaushik Roy

* 6 pages, 5 figures, 4 tables 

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Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation


May 04, 2020
Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy

* International Conference on Learning Representations (ICLR), 2020 https://openreview.net/forum?id=B1xSperKvH&noteId=B1xSperKvH 

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Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment


Apr 21, 2020
Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy

* 9 pages, 3 figures, To appear in WCCI 2020 

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IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array


Mar 27, 2020
Mustafa Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy

* (In-proceedings)2020 Accepted in IEEE Transactions on Circuits and Systems-I Journal 

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Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations


Mar 23, 2020
Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy


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Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition


Mar 16, 2020
Chi Nhan Duong, Thanh-Dat Truong, Kha Gia Quach, Hung Bui, Kaushik Roy, Khoa Luu

* CVPR 2020 

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Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks


Mar 14, 2020
Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy


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Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation


Mar 02, 2020
Jason M. Allred, Steven J. Spencer, Gopalakrishnan Srinivasan, Kaushik Roy


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Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors


Feb 26, 2020
Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy

* 16 pages, 3 figures, 6 tables 

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RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks


Feb 25, 2020
Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy

* to be published in CVPR'20 

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Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks


Feb 23, 2020
Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy

* 10 pages, 6 figures, 5 tables 

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