Measures of Fault Tolerance in Distributed Simulated Annealing - Aaditya Prakash (CoRR, 2012)

Reconstructing Self Organizing Maps as Spider Graphs for better visual interpretation of large unstructured datasets - Aaditya Prakash (CoRR, 2013)

Neural Clinical Paraphrase Generation with Attention. - Sadid A. Hasan; Bo Liu 006; Joey Liu; Ashequl Qadir; Kathy Lee; Vivek V. Datla; Aaditya Prakash; Oladimeji Farri (ClinicalNLP@COLING 2016, 2016)

Neural Paraphrase Generation with Stacked Residual LSTM Networks. - Aaditya Prakash; Sadid A. Hasan; Kathy Lee; Vivek V. Datla; Ashequl Qadir; Joey Liu; Oladimeji Farri (COLING, 2016)

Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity. - Vivek V. Datla; Sadid A. Hasan; Joey Liu; Yassine Benajiba; Kathy Lee; Ashequl Qadir; Aaditya Prakash; Oladimeji Farri (TREC, 2016)

Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph. - Sadid A. Hasan; Siyuan Zhao; Vivek V. Datla; Joey Liu; Kathy Lee; Ashequl Qadir; Aaditya Prakash; Oladimeji Farri (TREC, 2016)

Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification. - Kathy Lee; Ashequl Qadir; Vivek V. Datla; Sadid A. Hasan; Joey Liu; Aaditya Prakash; Oladimeji Farri (TREC, 2016)

Condensed Memory Networks for Clinical Diagnostic Inferencing. - Aaditya Prakash; Siyuan Zhao; Sadid A. Hasan; Vivek V. Datla; Kathy Lee; Ashequl Qadir; Joey Liu; Oladimeji Farri (AAAI, 2017)

Semantic Perceptual Image Compression Using Deep Convolution Networks. - Aaditya Prakash; Nick Moran; Solomon Garber; Antonella DiLillo; James A. Storer (DCC, 2017)

A two tier approach to chalkboard video lecture summary. - Solomon E. Garber; Aaditya Prakash; Nick Moran; Maria Altebarmakian; Richard Alterman; Antonella Di Lillo; James A. Storer (FIE, 2017)

Open domain real-time question answering based on asynchronous multiperspective context-driven retrieval and neural paraphrasing. - Vivek V. Datla; Tilak Raj Arora; Joey Liu; Viraj Adduru; Sadid A. Hasan; Kathy Lee; Ashequl Qadir; Yuan Ling; Aaditya Prakash; Oladimeji Farri (TREC, 2017)

Recognizing Tweet Relevance with Profile-specific and Profile-independent Supervised Models. - Kathy Lee; Ashequl Qadir; Yuan Ling; Joey Liu; Sadid A. Hasan; Vivek V. Datla; Aaditya Prakash; Oladimeji Farri (TREC, 2017)

Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks. - Kathy Lee; Ashequl Qadir; Sadid A. Hasan; Vivek V. Datla; Aaditya Prakash; Joey Liu; Oladimeji Farri (WWW, 2017)

Deflecting Adversarial Attacks With Pixel Deflection. - Aaditya Prakash; Nick Moran; Solomon Garber; Antonella DiLillo; James A. Storer (CVPR, 2018)

Protecting JPEG Images Against Adversarial Attacks. - Aaditya Prakash; Nick Moran; Solomon Garber; Antonella DiLillo; James A. Storer (DCC, 2018)

DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference. - Reza Ghaeini; Sadid A. Hasan; Vivek V. Datla; Joey Liu; Kathy Lee; Ashequl Qadir; Yuan Ling; Aaditya Prakash; Xiaoli Z. Fern; Oladimeji Farri (NAACL-HLT, 2018)

RePr: Improved Training of Convolutional Filters. - Aaditya Prakash; James A. Storer; Dinei A. F. Florêncio; Cha Zhang (CVPR, 2019)

Compact Representations of Dynamic Video Background Using Motion Sprites. - Solomon Garber; Aaditya Prakash; Ryan Marcus; Antonella DiLillo; James A. Storer (DCC, 2019)

Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology. - Syed Ashar Javed; Dinkar Juyal; Harshith Padigela; Amaro Taylor-Weiner; Limin Yu; Aaditya Prakash (NeurIPS, 2022)

Rethinking Machine Learning Model Evaluation in Pathology. - Syed Ashar Javed; Dinkar Juyal; Zahil Shanis; Shreya Chakraborty; Harsha Pokkalla; Aaditya Prakash (CoRR, 2022)

Additive MIL: Intrinsic Interpretability for Pathology. - Syed Ashar Javed; Dinkar Juyal; Harshith Padigela; Amaro Taylor-Weiner; Limin Yu; Aaditya Prakash (CoRR, 2022)

Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology. - Sai Chowdary Gullapally; Yibo Zhang; Nitin Kumar Mittal; Deeksha Kartik; Sandhya Srinivasan; Kevin Rose; Daniel Shenker; Dinkar Juyal; Harshith Padigela; Raymond Biju; Victor Minden; Chirag Maheshwari; et al. (CoRR, 2023)

ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis. - Tan H. Nguyen; Dinkar Juyal; Jin Li; Aaditya Prakash; Shima Nofallah; Chintan Shah; Sai Chowdary Gullapally; Michael Griffin; Anand Sampat; John Abel; Justin Lee; Amaro Taylor-Weiner (CoRR, 2023)

ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology. - Tan H. Nguyen; Dinkar Juyal; Jin Li; Aaditya Prakash; Shima Nofallah; Chintan Shah; Sai Chowdary Gullapally; Limin Yu; Michael Griffin; Anand Sampat; John Abel; Justin Lee; et al. (COMPAY@MICCAI, 2024)