Li Chou

12 papers A* 3A 2Journal 4Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams. ICML Benjamin Coleman, Benito Geordie, Li Chou, Ryan A. Leo Elworth, Todd J. Treangen, Anshumali Shrivastava
2022	—	`conf`	Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems. MLSys Aditya Desai, Li Chou, Anshumali Shrivastava
2021	—	`conf`	Efficient and Less Centralized Federated Learning. ECML/PKDD (1) Li Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava
2021	J	`jnl`	Efficient and Less Centralized Federated Learning. CoRR Li Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava
2021	A	`conf`	Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking. DATE Zichang Liu, Li Chou, Anshumali Shrivastava
2021	J	`jnl`	Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000× Compression and 2.7× Faster Inference. CoRR Aditya Desai, Li Chou, Anshumali Shrivastava
2021	J	`jnl`	Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems. CoRR Aditya Desai, Yanzhou Pan, Kuangyuan Sun, Li Chou, Anshumali Shrivastava
2020	J	`jnl`	Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking. CoRR Zichang Liu, Li Chou, Anshumali Shrivastava
2019	—	`—`	Parameter Tying and Dissociation in Graphical Models. Li Chou
2018	A*	`conf`	Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks. AAAI Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate
2018	A	`conf`	Dissociation-Based Oblivious Bounds for Weighted Model Counting. UAI Li Chou, Wolfgang Gatterbauer, Vibhav Gogate
2016	A*	`conf`	On Parameter Tying by Quantization. AAAI Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate