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20142026
most citedFederated Optimization in Heterogeneous Networks

436 citations · 2.1k across the 92 of their papers we have counts for

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Showing 2022Show all

17 papers · 1 filter

cs.LG2022★ 1 cited

Multi-Task Off-Policy Learning from Bandit Feedback

Joey Hong, Branislav Kveton, Sumeet Katariya +2

Many practical applications, such as recommender systems and learning to rank, involve solving multiple similar tasks. One example is learning of recommendation policies for users…

cs.LG2022★ 3 cited

Differentially Private Adaptive Optimization with Delayed Preconditioners

Tian Li, Manzil Zaheer, Ken Ziyu Liu +3

Privacy noise may negate the benefits of using adaptive optimizers in differentially private model training. Prior works typically address this issue by using auxiliary information…

cs.CL2022★ 5 cited

Large Language Models with Controllable Working Memory

Daliang Li, Ankit Singh Rawat, Manzil Zaheer +5

Large language models (LLMs) have led to a series of breakthroughs in natural language processing (NLP), owing to their excellent understanding and generation abilities. Remarkably…

cs.LG2022★ 1 cited

Learning to Navigate Wikipedia by Taking Random Walks

Manzil Zaheer, Kenneth Marino, Will Grathwohl +7

A fundamental ability of an intelligent web-based agent is seeking out and acquiring new information. Internet search engines reliably find the correct vicinity but the top results…

cs.CL2022

Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization

Nishant Yadav, Nicholas Monath, Rico Angell +2

Efficient k-nearest neighbor search is a fundamental task, foundational for many problems in NLP. When the similarity is measured by dot-product between dual-encoder vectors or $\e…

cs.CL2022

Longtonotes: OntoNotes with Longer Coreference Chains

Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru +4

Ontonotes has served as the most important benchmark for coreference resolution. However, for ease of annotation, several long documents in Ontonotes were split into smaller parts.…