On Analysis of Rural and Urban Indian Fingerprint Images. - Charvi Puri; Kanika Narang; A. Tiwari; Mayank Vatsa; Richa Singh 001 (ICEB, 2010)

Discovery and Analysis of Evolving Topical Social Discussions on Unstructured Microblogs. - Kanika Narang; Seema Nagar; Sameep Mehta; L. Venkata Subramaniam; Kuntal Dey (ECIR, 2013)

An Empirical Assessment of Contemporary Online Media in Ad-Hoc Corpus Creation for Social Events. - Kanika Narang; Seema Nagar; Sameep Mehta; L. Venkata Subramaniam; Kuntal Dey (IJCNLP, 2013)

Network flows and the link prediction problem. - Kanika Narang; Kristina Lerman; Ponnurangam Kumaraguru (SNAKDD, 2013)

Topical Discussions on Unstructured Microblogs: Analysis from a Geographical Perspective. - Seema Nagar; Kanika Narang; Sameep Mehta; L. Venkata Subramaniam; Kuntal Dey (WISE (2), 2013)

Being Aware of the World: Toward Using Social Media to Support the Blind With Navigation. - Samleo L. Joseph; Jizhong Xiao; Xiaochen Zhang; Bhupesh Chawda; Kanika Narang; Nitendra Rajput; Sameep Mehta; L. Venkata Subramaniam (IEEE Trans. Hum. Mach. Syst., 2015)

Large-Scale Analysis of Email Search and Organizational Strategies. - Kanika Narang; Susan T. Dumais; Nick Craswell; Daniel J. Liebling; Qingyao Ai (CHIIR, 2017)

Discovering Archetypes to Interpret Evolution of Individual Behavior. - Kanika Narang; Austin Chung; Hari Sundaram; Snigdha Chaturvedi (CoRR, 2019)

An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms. - Kanika Narang; Chaoqi Yang; Adit Krishnan; Junting Wang 001; Hari Sundaram; Carolyn Sutter (CoRR, 2019)

Abusive Language Detection using Syntactic Dependency Graphs. - Kanika Narang; Chris Brew (WOAH, 2020)

CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums. - Alex Morales; Kanika Narang; Hari Sundaram; Chengxiang Zhai (PAKDD (1), 2020)

User behavior modeling: Towards solving the duality of interpretability and precision - Kanika Narang (2020)

Ranking User-Generated Content via Multi-Relational Graph Convolution. - Kanika Narang; Adit Krishnan; Junting Wang 001; Chaoqi Yang; Hari Sundaram; Carolyn Sutter (SIGIR, 2021)

FuseRec: fusing user and item homophily modeling with temporal recommender systems. - Kanika Narang; Yitong Song; Alexander G. Schwing; Hari Sundaram (Data Min. Knowl. Discov., 2021)

Understanding Failure Modes of Self-Supervised Learning. - Neha Mukund Kalibhat; Kanika Narang; Liang Tan 005; Hamed Firooz; Maziar Sanjabi; Soheil Feizi (CoRR, 2022)

Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. - Aaron Mueller; Kanika Narang; Lambert Mathias; Qifan Wang 001; Hamed Firooz (ACL (Findings), 2023)

Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. - Neha Mukund Kalibhat; Kanika Narang; Hamed Firooz; Maziar Sanjabi; Soheil Feizi (AAAI, 2024)

CoDi: Conversational Distillation for Grounded Question Answering. - Patrick Huber; Arash Einolghozati; Rylan Conway; Kanika Narang; Matt Smith; Waqar Nayyar; Adithya Sagar; Ahmed Aly; Akshat Shrivastava (CoRR, 2024)

VisualLens: Personalization through Visual History. - Wang Bill Zhu; Deqing Fu; Kai Sun 006; Yi Lu; Zhaojiang Lin; Seungwhan Moon; Kanika Narang; Mustafa Canim; Yue Liu; Anuj Kumar; Xin Luna Dong (CoRR, 2024)

On the Equivalence of Graph Convolution and Mixup. - Xiaotian Han; Hanqing Zeng; Yu Chen 022; Shaoliang Nie; Jingzhou Liu; Kanika Narang; Zahra Shakeri; Karthik Abinav Sankararaman; Song Jiang 002; Madian Khabsa; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2024)