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2020 – today
- 2023
[c23]Hemanth Vemuri
, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma:
Personalized Retrieval over Millions of Items. SIGIR 2023: 1014-1022- [c22]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:
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM 2023: 258-266 - 2022
- [i18]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:
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR abs/2207.04452 (2022) - 2021
- [c21]Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma:
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. WSDM 2021: 31-39 - [c20]Paul Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Mehul Parsana:
Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective. WWW 2021: 1363-1372 - [i17]Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie:
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. CoRR abs/2102.09211 (2021) - [i16]Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie:
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. CoRR abs/2104.10925 (2021) - [i15]Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma:
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. CoRR abs/2111.06685 (2021) - 2020
- [c19]Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen:
Towards Explainable Conversational Recommendation. IJCAI 2020: 2994-3000 - [i14]Iyad Batal, Akshay Soni:
Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising. CoRR abs/2012.15728 (2020)
2010 – 2019
- 2018
- [c18]Thanh Van Nguyen, Akshay Soni, Chinmay Hegde:
On Learning Sparsely Used Dictionaries from Incomplete Samples. ICML 2018: 3766-3775 - [c17]Arpita Gang, Pravesh Biyani, Akshay Soni:
Towards Automated Single Channel Source Separation Using Neural Networks. INTERSPEECH 2018: 3494-3498 - [c16]Akshay Soni, Aasish Pappu, Róbert Busa-Fekete, Krzysztof Dembczynski:
Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization. WWW (Companion Volume) 2018: 1893-1894 - [i13]Thanh Van Nguyen, Akshay Soni, Chinmay Hegde:
On Learning Sparsely Used Dictionaries from Incomplete Samples. CoRR abs/1804.09217 (2018) - [i12]Arpita Gang, Pravesh Biyani, Akshay Soni:
Towards Automated Single Channel Source Separation using Neural Networks. CoRR abs/1806.08086 (2018) - 2017
- [c15]Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev:
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. FLAIRS 2017: 32-37 - [c14]Akshay Soni, Yashar Mehdad:
RIPML: A Restricted Isometry Property-Based Approach to Multilabel Learning. FLAIRS 2017: 532-537 - [c13]Akshay Soni, Aasish Pappu, Jerry Chia-mau Ni, Troy Chevalier:
Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches. IJCNLP(2) 2017: 61-66 - [c12]Akshay Soni, Troy Chevalier, Swayambhoo Jain:
Noisy inductive matrix completion under sparse factor models. ISIT 2017: 2990-2994 - [c11]Parikshit Shah, Akshay Soni, Troy Chevalier:
Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping. KDD 2017: 405-414 - [c10]Sheng Chen, Akshay Soni, Aasish Pappu, Yashar Mehdad:
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging. Rep4NLP@ACL 2017: 111-120 - [i11]Akshay Soni, Yashar Mehdad:
RIPML: A Restricted Isometry Property based Approach to Multilabel Learning. CoRR abs/1702.05181 (2017) - [i10]Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad:
Rank-to-engage: New Listwise Approaches to Maximize Engagement. CoRR abs/1702.07798 (2017) - [i9]Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev:
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. CoRR abs/1705.05765 (2017) - [i8]Sheng Chen, Akshay Soni, Aasish Pappu, Yashar Mehdad:
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging. CoRR abs/1707.04596 (2017) - 2016
- [j3]Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella:
Noisy Matrix Completion Under Sparse Factor Models. IEEE Trans. Inf. Theory 62(6): 3636-3661 (2016) - [i7]Dhananjay Kimothi, Akshay Soni, Pravesh Biyani, James M. Hogan:
Distributed Representations for Biological Sequence Analysis. CoRR abs/1608.05949 (2016) - [i6]Akshay Soni, Troy Chevalier, Swayambhoo Jain:
Noisy Inductive Matrix Completion Under Sparse Factor Models. CoRR abs/1609.03958 (2016) - 2015
- [c9]Soumyava Das, Akshay Soni, Ashok Venkatesan, Debora Donato:
Organic vs. Sponsored Content: From Ads to Native Ads. WI-IAT (3) 2015: 229-230 - 2014
- [j2]Akshay Soni, Jarvis D. Haupt:
On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements. IEEE Trans. Inf. Theory 60(1): 133-149 (2014) - [c8]Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella:
Error bounds for maximum likelihood matrix completion under sparse factor models. GlobalSIP 2014: 399-403 - [c7]Akshay Soni, Jarvis D. Haupt, Fatih Porikli:
Recycled linear classifiers for multiclass classification. ICASSP 2014: 2957-2961 - [c6]Akshay Soni, Jarvis D. Haupt:
Estimation error guarantees for Poisson denoising with sparse and structured dictionary models. ISIT 2014: 2002-2006 - [i5]Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella:
Noisy Matrix Completion under Sparse Factor Models. CoRR abs/1411.0282 (2014) - 2013
- [c5]Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt:
Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. ACSSC 2013: 163-167 - [c4]Akshay Soni, Jarvis D. Haupt:
Fundamental limits for support recovery of tree-sparse signals from noisy compressive samples. GlobalSIP 2013: 961-964 - [i4]Akshay Soni, Jarvis D. Haupt:
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements. CoRR abs/1306.4391 (2013) - [i3]Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt:
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach. CoRR abs/1311.5599 (2013) - 2012
- [c3]Akshay Soni, Jarvis D. Haupt:
Learning sparse representations for adaptive compressive sensing. ICASSP 2012: 2097-2100 - [c2]Akshay Soni, Jarvis D. Haupt:
Level set estimation from compressive measurements using box constrained total variation regularization. ICIP 2012: 2573-2576 - [i2]Akshay Soni, Jarvis D. Haupt:
Level Set Estimation from Compressive Measurements using Box Constrained Total Variation Regularization. CoRR abs/1210.2474 (2012) - 2011
- [c1]Akshay Soni, Jarvis D. Haupt:
Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries. ACSCC 2011: 1250-1254 - [i1]Akshay Soni, Jarvis D. Haupt:
Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries. CoRR abs/1111.6923 (2011) - 2010
- [j1]Akshay Soni, Tanvi Sharma, Vijaykumar Chakka:
Inverse QR 2D-RLS Adaptive Channel Estimation for OFDM Systems. IEICE Trans. Commun. 93-B(10): 2822-2825 (2010)
Coauthor Index
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