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Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization
Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
Neural Information Processing Systems http://nips.cc/
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Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
Neural Information Processing Systems http://nips.cc/
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RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
The Rashomon effect is a mixed blessing in responsible machine learning.
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Auslan-Daily: Australian Sign Language Translation for Daily Communication and News
Considering different geographic regions generally have their own native sign languages, it is valuable to establish corresponding SL T datasets to support related communication and research. Auslan, as a sign language specific to Australia, still lacks a dedicated large-scale dataset for SL T.
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FinBen: A Holistic Financial Benchmark for Large Language Models
Their novel solutions outperformed GPT -4, showcasing FinBen's potential to drive innovations in financial LLMs.
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Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
We use decision trees to convey this reasoning information, as they can be easily represented in natural language, effectively providing knowledge from prior experiments ( i.e., the impact of the generated features on performance) to
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Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
We carry out our study by constructing a 1.4 trillion-token datastore named M
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