دنبال کردن
Noveen Sachdeva
Noveen Sachdeva
Research Scientist, Google DeepMind
ایمیل تأیید شده در google.com - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Sequential variational autoencoders for collaborative filtering‏
N Sachdeva, G Manco, E Ritacco, V Pudi‏
WSDM '19, 2019‏
1242019
Data distillation: A survey‏
N Sachdeva, J McAuley‏
TMLR ‘23, 2023‏
882023
Off-policy bandits with deficient support‏
N Sachdeva, Y Su, T Joachims‏
KDD '20, 2020‏
832020
ECLARE: Extreme Classification with Label Graph Correlations‏
A Mittal, N Sachdeva, S Agrawal, S Agarwal, P Kar, M Varma‏
WWW '21, 2021‏
682021
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements‏
N Sachdeva, J McAuley‏
SIGIR '20, 2020‏
662020
Attentive neural architecture incorporating song features for music recommendation‏
N Sachdeva, K Gupta, V Pudi‏
RecSys '18, 2018‏
592018
How to train data-efficient llms‏
N Sachdeva, B Coleman, WC Kang, J Ni, L Hong, EH Chi, J Caverlee, ...‏
arXiv preprint arXiv:2402.09668, 2024‏
412024
On Sampling Collaborative Filtering Datasets‏
N Sachdeva, CJ Wu, J McAuley‏
WSDM '22, 2022‏
34*2022
Infinite Recommendation Networks: A Data-Centric Approach‏
N Sachdeva, MP Dhaliwal, CJ Wu, J McAuley‏
NeurIPS '22, 2022‏
32*2022
Explicit modelling of the implicit short term user preferences for music recommendation‏
K Gupta, N Sachdeva, V Pudi‏
ECIR '18, 2018‏
192018
Off-policy evaluation for large action spaces via policy convolution‏
N Sachdeva, L Wang, D Liang, N Kallus, J McAuley‏
Proceedings of the ACM Web Conference 2024, 3576-3585, 2024‏
102024
Farzi data: Autoregressive data distillation‏
N Sachdeva, Z He, WC Kang, J Ni, DZ Cheng, J McAuley‏
arXiv preprint arXiv:2310.09983, 2023‏
62023
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights‏
S Gong, J Ni, N Sachdeva, C Yang, W Jin‏
arXiv preprint arXiv:2406.16715, 2024‏
5*2024
GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control‏
N Sachdeva, Z Wang, K Han, R Gupta, J McAuley‏
ITSC '22, 2022‏
42022
Improving data efficiency for recommenders and llms‏
N Sachdeva, B Coleman, WC Kang, J Ni, J Caverlee, L Hong, E Chi, ...‏
Proceedings of the 18th ACM Conference on Recommender Systems, 790-792, 2024‏
12024
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation‏
Y Hou, J Ni, Z He, N Sachdeva, WC Kang, EH Chi, J McAuley, DZ Cheng‏
arXiv preprint arXiv:2502.13581, 2025‏
2025
Towards Data-efficient Machine Learning Systems‏
N Sachdeva‏
University of California, San Diego, 2024‏
2024
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–17