| Efficient and less centralized federated learning L Chou, Z Liu, Z Wang, A Shrivastava Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 24 | 2021 |
| Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems A Desai, L Chou, A Shrivastava Proceedings of Machine Learning and Systems 4, 762-778, 2022 | 18 | 2022 |
| On parameter tying by quantization L Chou, S Sarkhel, N Ruozzi, V Gogate Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 17 | 2016 |
| Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems A Desai, Y Pan, K Sun, L Chou, A Shrivastava arXiv preprint arXiv:2103.06124, 2021 | 10 | 2021 |
| One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams B Coleman, B Geordie, L Chou, RAL Elworth, T Treangen, A Shrivastava International Conference on Machine Learning, 4202-4218, 2022 | 8 | 2022 |
| Automatic parameter tying: A new approach for regularized parameter learning in markov networks L Chou, P Sahoo, S Sarkhel, N Ruozzi, V Gogate Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 5 | 2018 |
| Random offset block embedding array (robe) for criteotb benchmark mlperf dlrm model: 1000× compression and 2.7× faster inference A Desai, L Chou, A Shrivastava arXiv preprint arXiv:2108.02191, 2021 | 4 | 2021 |
| Diversified RACE Sampling on Data Streams Applied to Metagenomic Sequence Analysis B Coleman, B Geordie, L Chou, RAL Elworth, TJ Treangen, A Shrivastava bioRxiv, 852889, 2019 | 3 | 2019 |
| Dissociation-Based Oblivious Bounds for Weighted Model Counting. L Chou, W Gatterbauer, V Gogate UAI, 866-875, 2018 | 3 | 2018 |
| Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 Compression and 3.1 Faster Inference A Desai, L Chou, A Shrivastava arXiv preprint arXiv:2108.02191, 2021 | | 2021 |
| Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking Z Liu, L Chou, A Shrivastava 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021 | | 2021 |
| Parameter Tying and Dissociation in Graphical Models LK Chou The University of Texas at Dallas, 2019 | | 2019 |
Vibhav GogateThe University of Texas at Dallas在 utdallas.edu 的电子邮件经过验证
