Akshay Soni

44 papers A* 5A 3B 3Misc 5Journal 21Unranked 7
YearRankTypeTitle / Venue / Authors
2023 A conf
NGAME: Negative Mining-aware Mini-batching for Extreme Classification.
WSDM
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
2023 A* conf
Personalized Retrieval over Millions of Items.
SIGIR
Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
2022 J jnl
NGAME: Negative Mining-aware Mini-batching for Extreme Classification.
CoRR
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 A conf
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents.
WSDM
Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
2021 J jnl
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents.
CoRR
Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
2021 A* conf
Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective.
WWW
Paul Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Mehul Parsana
2021 J jnl
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.
CoRR
Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie
2021 J jnl
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations.
CoRR
Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie
2020 J jnl
Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising.
CoRR
Iyad Batal, Akshay Soni
2020 A* conf
Towards Explainable Conversational Recommendation.
IJCAI
Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen
2018 — conf
Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization.
WWW (Companion Volume)
Akshay Soni, Aasish Pappu, Róbert Busa-Fekete, Krzysztof Dembczynski
2018 A* conf
On Learning Sparsely Used Dictionaries from Incomplete Samples.
ICML
Thanh Van Nguyen, Akshay Soni, Chinmay Hegde
2018 J jnl
On Learning Sparsely Used Dictionaries from Incomplete Samples.
CoRR
Thanh Van Nguyen, Akshay Soni, Chinmay Hegde
2018 A conf
Towards Automated Single Channel Source Separation Using Neural Networks.
INTERSPEECH
Arpita Gang, Pravesh Biyani, Akshay Soni
2018 J jnl
Towards Automated Single Channel Source Separation using Neural Networks.
CoRR
Arpita Gang, Pravesh Biyani, Akshay Soni
2017 — conf
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging.
Rep4NLP@ACL
Sheng Chen, Akshay Soni, Aasish Pappu, Yashar Mehdad
2017 J jnl
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging.
CoRR
Sheng Chen, Akshay Soni, Aasish Pappu, Yashar Mehdad
2017 B conf
Noisy inductive matrix completion under sparse factor models.
ISIT
Akshay Soni, Troy Chevalier, Swayambhoo Jain
2017 Misc conf
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem.
FLAIRS
Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev
2017 J jnl
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem.
CoRR
Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev
2017 A* conf
Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping.
KDD
Parikshit Shah, Akshay Soni, Troy Chevalier
2017 — conf
Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches.
IJCNLP(2)
Akshay Soni, Aasish Pappu, Jerry Chia-mau Ni, Troy Chevalier
2017 J jnl
RIPML: A Restricted Isometry Property based Approach to Multilabel Learning.
CoRR
Akshay Soni, Yashar Mehdad
2017 Misc conf
RIPML: A Restricted Isometry Property-Based Approach to Multilabel Learning.
FLAIRS
Akshay Soni, Yashar Mehdad
2017 J jnl
Rank-to-engage: New Listwise Approaches to Maximize Engagement.
CoRR
Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad
2016 J jnl
Distributed Representations for Biological Sequence Analysis.
CoRR
Dhananjay Kimothi, Akshay Soni, Pravesh Biyani, James M. Hogan
2016 J jnl
Noisy Inductive Matrix Completion Under Sparse Factor Models.
CoRR
Akshay Soni, Troy Chevalier, Swayambhoo Jain
2016 J jnl
Noisy Matrix Completion Under Sparse Factor Models.
IEEE Trans. Inf. Theory
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
2015 — conf
Organic vs. Sponsored Content: From Ads to Native Ads.
WI-IAT (3)
Soumyava Das, Akshay Soni, Ashok Venkatesan, Debora Donato
2014 — conf
Error bounds for maximum likelihood matrix completion under sparse factor models.
GlobalSIP
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
2014 B conf
Estimation error guarantees for Poisson denoising with sparse and structured dictionary models.
ISIT
Akshay Soni, Jarvis D. Haupt
2014 J jnl
Noisy Matrix Completion under Sparse Factor Models.
CoRR
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
2014 J jnl
On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements.
IEEE Trans. Inf. Theory
Akshay Soni, Jarvis D. Haupt
2014 Misc conf
Recycled linear classifiers for multiclass classification.
ICASSP
Akshay Soni, Jarvis D. Haupt, Fatih Porikli
2013 J jnl
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach.
CoRR
Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
2013 Misc conf
Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach.
ACSSC
Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
2013 — conf
Fundamental limits for support recovery of tree-sparse signals from noisy compressive samples.
GlobalSIP
Akshay Soni, Jarvis D. Haupt
2013 J jnl
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements.
CoRR
Akshay Soni, Jarvis D. Haupt
2012 Misc conf
Learning sparse representations for adaptive compressive sensing.
ICASSP
Akshay Soni, Jarvis D. Haupt
2012 J jnl
Level Set Estimation from Compressive Measurements using Box Constrained Total Variation Regularization
CoRR
Akshay Soni, Jarvis D. Haupt
2012 B conf
Level set estimation from compressive measurements using box constrained total variation regularization.
ICIP
Akshay Soni, Jarvis D. Haupt
2011 J jnl
Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries
CoRR
Akshay Soni, Jarvis D. Haupt
2011 — conf
Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries.
ACSCC
Akshay Soni, Jarvis D. Haupt
2010 J jnl
Inverse QR 2D-RLS Adaptive Channel Estimation for OFDM Systems.
IEICE Trans. Commun.
Akshay Soni, Tanvi Sharma, Vijaykumar Chakka