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ORCIDNoveen Sachdeva
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2020 – today
- 2023
[i9]Noveen Sachdeva, Julian J. McAuley:
Data Distillation: A Survey. CoRR abs/2301.04272 (2023)- 2022
- [c9]Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian J. McAuley:
GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control. ITSC 2022: 2528-2535 - [c8]Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
On Sampling Collaborative Filtering Datasets. WSDM 2022: 842-850 - [i8]Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
On Sampling Collaborative Filtering Datasets. CoRR abs/2201.04768 (2022) - [i7]Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley:
Infinite Recommendation Networks: A Data-Centric Approach. CoRR abs/2206.02626 (2022) - 2021
- [c7]Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal
, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. WWW 2021: 3721-3732 - [i6]Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
SVP-CF: Selection via Proxy for Collaborative Filtering Data. CoRR abs/2107.04984 (2021) - [i5]Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. CoRR abs/2108.00261 (2021) - 2020
- [c6]Noveen Sachdeva, Yi Su, Thorsten Joachims:
Off-policy Bandits with Deficient Support. KDD 2020: 965-975 - [c5]Noveen Sachdeva, Julian J. McAuley:
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. SIGIR 2020: 1845-1848 - [i4]Noveen Sachdeva, Julian J. McAuley:
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. CoRR abs/2005.12210 (2020) - [i3]Noveen Sachdeva, Yi Su, Thorsten Joachims:
Off-policy Bandits with Deficient Support. CoRR abs/2006.09438 (2020)
2010 – 2019
- 2019
- [c4]Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio:
Deep Sequential Modeling for Recommendation. SEBD 2019 - [c3]Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi:
Sequential Variational Autoencoders for Collaborative Filtering. WSDM 2019: 600-608 - 2018
- [c2]Kartik Gupta, Noveen Sachdeva, Vikram Pudi:
Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation. ECIR 2018: 333-344 - [c1]Noveen Sachdeva, Kartik Gupta, Vikram Pudi:
Attentive neural architecture incorporating song features for music recommendation. RecSys 2018: 417-421 - [i2]Noveen Sachdeva, Kartik Gupta, Vikram Pudi:
Attentive Neural Architecture Incorporating Song Features For Music Recommendation. CoRR abs/1811.08203 (2018) - [i1]Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi:
Sequential Variational Autoencoders for Collaborative Filtering. CoRR abs/1811.09975 (2018)
Coauthor Index
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last updated on 2023-01-20 21:34 CET by the dblp team
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