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Supervised Contrastive Learning for Interpretable Long Document Comparison


Aug 20, 2021
Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekhar, Adithya Samavedhi, Chandan K. Reddy


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Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes


Aug 01, 2021
Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy


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Fair Representation Learning using Interpolation Enabled Disentanglement


Jul 31, 2021
Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy


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Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values


Jul 29, 2021
Sindhu Tipirneni, Chandan K. Reddy


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Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction


Jun 09, 2021
Chang Lu, Chandan K. Reddy, Yue Ning

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare


May 16, 2021
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning


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Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models


Apr 05, 2021
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath

* Published in proceedings of the 5th European Symposium on Security and Privacy (EuroS&P '20) 

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T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification


Mar 11, 2021
Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath

* Accepted to Usenix Security 2021; First two authors contributed equally to this work; 18 pages, 11 tables 

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Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs


Dec 23, 2020
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy

* Preprint version, 12 pages, 11 figures, 10 tables 

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Differentially Private Synthetic Medical Data Generation using Convolutional GANs


Dec 22, 2020
Amirsina Torfi, Edward A. Fox, Chandan K. Reddy


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Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction


Sep 18, 2020
Tian Shi, Ping Wang, Chandan K. Reddy


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A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection


Sep 18, 2020
Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy


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Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks


Aug 23, 2020
Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy


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A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification


Apr 24, 2020
Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy


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Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space


Mar 30, 2020
Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy


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Image Hashing by Minimizing Independent Relaxed Wasserstein Distance


Feb 29, 2020
Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy


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LATTE: Latent Type Modeling for Biomedical Entity Linking


Nov 21, 2019
Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy

* AAAI 2020 Conference 

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A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data


Jul 28, 2019
Ping Wang, Tian Shi, Chandan K. Reddy


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LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization


May 28, 2019
Tian Shi, Ping Wang, Chandan K. Reddy

* Accepted by NAACL-HLT 2019 demo track 

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Neural Abstractive Text Summarization with Sequence-to-Sequence Models


Dec 07, 2018
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy


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Deep Transfer Reinforcement Learning for Text Summarization


Oct 15, 2018
Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy


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Deep Reinforcement Learning For Sequence to Sequence Models


Jul 20, 2018
Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy


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Machine Learning for Survival Analysis: A Survey


Aug 15, 2017
Ping Wang, Yan Li, Chandan K. Reddy


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TRUST-TECH based Methods for Optimization and Learning


Dec 25, 2007
Chandan K. Reddy

* Chandan K. Reddy, TRUST-TECH based Methods for Optimization and Learning, PHD Thesis, Cornell University, February 2007 
* PHD Thesis 

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