Follow
Li Chou
Title
Cited by
Cited by
Year
Efficient and less centralized federated learning
L Chou, Z Liu, Z Wang, A Shrivastava
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
202021
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
172022
On parameter tying by quantization
L Chou, S Sarkhel, N Ruozzi, V Gogate
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
162016
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
92021
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
82022
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
52018
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
42021
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
32019
Dissociation-Based Oblivious Bounds for Weighted Model Counting.
L Chou, W Gatterbauer, V Gogate
UAI, 866-875, 2018
32018
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
The system can't perform the operation now. Try again later.
Articles 1–12