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2020 – today
- 2022
[c7]Benjamin Coleman, Benito Geordie, Li Chou, Ryan A. Leo Elworth, Todd J. Treangen, Anshumali Shrivastava:
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams. ICML 2022: 4202-4218- [c6]Aditya Desai, Li Chou, Anshumali Shrivastava:
Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems. MLSys 2022 - 2021
- [c5]Zichang Liu, Li Chou, Anshumali Shrivastava:
Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking. DATE 2021: 1426-1429 - [c4]Li Chou, Zichang Liu, Zhuang Wang
, Anshumali Shrivastava:
Efficient and Less Centralized Federated Learning. ECML/PKDD (1) 2021: 772-787 - [i4]Aditya Desai, Yanzhou Pan, Kuangyuan Sun, Li Chou, Anshumali Shrivastava:
Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems. CoRR abs/2103.06124 (2021) - [i3]Li Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava:
Efficient and Less Centralized Federated Learning. CoRR abs/2106.06627 (2021) - [i2]Aditya Desai, Li Chou, Anshumali Shrivastava:
Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000× Compression and 2.7× Faster Inference. CoRR abs/2108.02191 (2021) - 2020
- [i1]Zichang Liu, Li Chou, Anshumali Shrivastava:
Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking. CoRR abs/2011.14954 (2020)
2010 – 2019
- 2018
- [c3]Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate:
Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks. AAAI 2018: 2860-2867 - [c2]Li Chou, Wolfgang Gatterbauer, Vibhav Gogate:
Dissociation-Based Oblivious Bounds for Weighted Model Counting. UAI 2018: 866-875 - 2016
- [c1]Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate:
On Parameter Tying by Quantization. AAAI 2016: 3241-3247
Coauthor Index
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