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Jul 25, 2022
Microsoft, DP Technology & Tsinghua U Enable Efficient Low-Precision Training of Gradient Boosting Decision Trees
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Sep 27, 2021
NYU & UBC Propose Deviation-Based Learning to Advance Recommender System Training
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Sep 13, 2021
MIT’s Automatic Data-Driven Media Bias Measurement Method Achieves Human-Level Results
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Sep 7, 2021
Swiss AI Lab Uses Simple Tricks to Dramatically Improve Transformers’ Systematic Generalization
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Aug 20, 2021
IBM Proposes Effective ML Drift Detection Via Weak Data Slices
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Jul 12, 2021
MIT Proposes Novel End-to-End Procedure for Corrupted Data Cleaning, Estimation, and Inference
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Jul 1, 2021
Video Swin Transformer Improves Speed-Accuracy Trade-offs, Achieves SOTA Results on Video Recognition Benchmarks
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Jun 23, 2021
Facebook AI & Mila Propose ALMA: Anytime Learning at Macroscale
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Jun 15, 2021
Google’s Launchpad Programming Framework Simplifies the Distributed Computation Learning Process
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Jan 29, 2021
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System…
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