| 2023 | CogSci | Asymmetry in Political Information Processing: Congruency-based reasoning in belief revision and political decision making. | Abhirup Chattopadhyay, Harish Karnick, Narayanan Srinivasan |
| 2021 | ACL | SumPubMed: Summarization Dataset of PubMed Scientific Articles. | Vivek Gupta, Prerna Bharti, Pegah Nokhiz, Harish Karnick |
| 2020 | AAAI | Deep Attentive Ranking Networks for Learning to Order Sentences. | Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai |
| 2020 | CogSci | Color Categorization and Naming in Normal, Deficient, and Mixed Populations Using Agent Based Modelling. | Rithwik John Cherian, Harish Karnick |
| 2020 | CogSci | Evidence of Self - Referential Prioritization on the basis of Visual Features: Attributing Salience to Rule - Learning. | Neelabja Roy, Harish Karnick, Ark Verma |
| 2019 | AAAI | Distributional Semantics Meets Multi-Label Learning. | Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai |
| 2018 | ACL | Unsupervised Semantic Abstractive Summarization. | Shibhansh Dohare, Vivek Gupta, Harish Karnick |
| 2018 | COMAD | User bias removal in review score prediction. | Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Harish Karnick |
| 2017 | EMNLP | SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. | Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick |
| 2016 | CogSci | Factors Influencing Categorization Strategy in Visual Category Learning. | Sujith Thomas, Harish Karnick |
| 2016 | COLING | Product Classification in E-Commerce using Distributional Semantics. | Vivek Gupta, Harish Karnick, Ashendra Bansal, Pradhuman Jhala |
| 2016 | ESANN | Efficient low rank approximation via alternating least squares for scalable kernel learning. | Piyush Bhardwaj, Harish Karnick |
| 2016 | NAACL | Automatic tagging and retrieval of E-Commerce products based on visual features. | Vasu Sharma, Harish Karnick |
| 2015 | DICTA | Improved Classification and Reconstruction by Introducing Independence and Randomization in Deep Neural Networks. | Gaurush Hiranandani, Harish Karnick |
| 2015 | WACV | Genre and Style Based Painting Classification. | Siddharth Agarwal, Harish Karnick, Nirmal Pant, Urvesh Patel |
| 2014 | ACSSC | Large margin nearest neighborhood metric learning for i-vector based speaker verification. | Waquar Ahmad, Harish Karnick, Rajesh M. Hegde |
| 2013 | ADMA | Informed Weighted Random Projection for Dimension Reduction. | Jaydeep Sen, Harish Karnick |
| 2013 | ICML | On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions. | Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick |
| 2008 | COMAD | Topic Distillation using Support Vector Data Description. | V. Vijaya Saradhi, Harish Karnick, Pabitra Mitra |
| 2007 | AI | On the Stability and Bias-Variance Analysis of Kernel Matrix Learning. | V. Vijaya Saradhi, Harish Karnick |
| 2007 | ESANN | Kernel-based online machine learning and support vector reduction. | Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick |
| 2007 | IWANN | Classifier Complexity Reduction by Support Vector Pruning in Kernel Matrix Learning. | V. Vijaya Saradhi, Harish Karnick |
| 2005 | WWW | Extracting semantic structure of web documents using content and visual information. | Rupesh R. Mehta, Pabitra Mitra, Harish Karnick |
| 2003 | SMC | Artificial ontogenesis of controllers for robotic behavior using VLG GA. | Vibhanshu Abhishek, Amitabha Mukerjee, Harish Karnick |