| 2023 | SIGIR | Personalized Retrieval over Millions of Items. | Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma |
| 2023 | WSDM | NGAME: Negative Mining-aware Mini-batching for Extreme Classification. | Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma |
| 2021 | WWW | Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective. | Paul Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Mehul Parsana |
| 2021 | WSDM | DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. | Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma |
| 2020 | IJCAI | Towards Explainable Conversational Recommendation. | Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen |
| 2018 | ICML | On Learning Sparsely Used Dictionaries from Incomplete Samples. | Thanh Van Nguyen, Akshay Soni, Chinmay Hegde |
| 2018 | Interspeech | Towards Automated Single Channel Source Separation Using Neural Networks. | Arpita Gang, Pravesh Biyani, Akshay Soni |
| 2018 | WWW | Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization. | Akshay Soni, Aasish Pappu, Rbert Busa-Fekete, Krzysztof Dembczynski |
| 2017 | FlAIRS | Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. | Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev |
| 2017 | FlAIRS | RIPML: A Restricted Isometry Property-Based Approach to Multilabel Learning. | Akshay Soni, Yashar Mehdad |
| 2017 | IJCNLP | Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches. | Akshay Soni, Aasish Pappu, Jerry Chia-mau Ni, Troy Chevalier |
| 2017 | ISIT | Noisy inductive matrix completion under sparse factor models. | Akshay Soni, Troy Chevalier, Swayambhoo Jain |
| 2017 | KDD | Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping. | Parikshit Shah, Akshay Soni, Troy Chevalier |
| 2014 | ICASSP | Recycled linear classifiers for multiclass classification. | Akshay Soni, Jarvis D. Haupt, Fatih Porikli |
| 2014 | ISIT | Estimation error guarantees for Poisson denoising with sparse and structured dictionary models. | Akshay Soni, Jarvis D. Haupt |
| 2013 | ACSSC | Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. | Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt |
| 2012 | ICASSP | Learning sparse representations for adaptive compressive sensing. | Akshay Soni, Jarvis D. Haupt |
| 2012 | ICIP | Level set estimation from compressive measurements using box constrained total variation regularization. | Akshay Soni, Jarvis D. Haupt |
| 2011 | ACSSC | Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries. | Akshay Soni, Jarvis D. Haupt |