Automatic detection of bike-riders without helmet using surveillance videos in real-time. - Kunal Dahiya; Dinesh Singh 001; C. Krishna Mohan (IJCNN, 2016)

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation. - Yashoteja Prabhu; Anil Kag; Shilpa Gopinath; Kunal Dahiya; Shrutendra Harsola; Rahul Agrawal; Manik Varma (WSDM, 2018)

SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. - Kunal Dahiya; Ananye Agarwal; Deepak Saini; Gururaj K; Jian Jiao 007; Amit Singh 003; Sumeet Agarwal; Purushottam Kar; Manik Varma (ICML, 2021)

Optimizing Unlicensed Coexistence Network Performance Through Data Learning. - Srikant Manas Kala; Vanlin Sathya; Kunal Dahiya; Teruo Higashino; Hirozumi Yamaguchi (MobiQuitous, 2021)

DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. - Kunal Dahiya; Deepak Saini; Anshul Mittal; Ankush Shaw; Kushal Dave 001; Akshay Soni; Himanshu Jain; Sumeet Agarwal; Manik Varma (WSDM, 2021)

DECAF: Deep Extreme Classification with Label Features. - Anshul Mittal; Kunal Dahiya; Sheshansh Agrawal; Deepak Saini; Sumeet Agarwal; Purushottam Kar; Manik Varma (WSDM, 2021)

Multi-modal Extreme Classification. - Anshul Mittal; Kunal Dahiya; Shreya Malani; Janani Ramaswamy; Seba Ann Kuruvilla; Jitendra Ajmera; Keng-hao Chang; Sumeet Agarwal; Purushottam Kar; Manik Varma (CVPR, 2022)

Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters. - Betty Lala; Srikant Manas Kala; Anmol Rastogi; Kunal Dahiya; Hirozumi Yamaguchi; Aya Hagishima (SMARTCOMP, 2022)

Are You Comfortable Now: Deep Learning the Temporal Variation in Thermal Comfort in Winters. - Betty Lala; Srikant Manas Kala; Anmol Rastogi; Kunal Dahiya; Aya Hagishima (SMC, 2022)

Identification and Analysis of a Unique Cell Selection Phenomenon in Public Unlicensed Cellular Networks Through Machine Learning. - Srikant Manas Kala; Vanlin Sathya; Kunal Dahiya; Teruo Higashino; Hirozumi Yamaguchi (IEEE Access, 2022)

LTE-LAA cell selection through operator data learning and numerosity reduction. - Srikant Manas Kala; Kunal Dahiya; Vanlin Sathya; Teruo Higashino; Hirozumi Yamaguchi (Pervasive Mob. Comput., 2022)

Deep Encoders with Auxiliary Parameters for Extreme Classification. - Kunal Dahiya; Sachin Yadav 002; Sushant Sondhi; Deepak Saini; Sonu Mehta; Jian Jiao 007; Sumeet Agarwal; Purushottam Kar; Manik Varma (KDD, 2023)

NGAME: Negative Mining-aware Mini-batching for Extreme Classification. - Kunal Dahiya; Nilesh Gupta; Deepak Saini; Akshay Soni; Yajun Wang; Kushal Dave 001; Jian Jiao 007; Gururaj K; Prasenjit Dey; Amit Singh 003; Deepesh Hada; Vidit Jain; et al. (WSDM, 2023)

Mitigating Trade-Off in Unlicensed Network Optimization Through Machine Learning and Context Awareness. - Srikant Manas Kala; Vanlin Sathya; Kunal Dahiya; Teruo Higashino; Hirozumi Yamaguchi (IEEE Access, 2023)

Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval. - Sachin Yadav 002; Deepak Saini; Anirudh Buvanesh; Bhawna Paliwal; Kunal Dahiya; Siddarth Asokan; Yashoteja Prabhu; Jian Jiao 007; Manik Varma (KDD, 2024)

Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss. - Kunal Dahiya; Diego Ortego; David Jiménez (CoRR, 2024)

Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss. - Kunal Dahiya; Diego Ortego; David Jimenez-Cabello (NAACL (Long Papers), 2025)