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Lost in Transmission: On the Impact of Networking Corruptions on Video Machine Learning Models



Trenton Chang , Daniel Y. Fu

* 12 pages, 12 figures (with supplemental: 34 pages) 

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FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness



Tri Dao , Daniel Y. Fu , Stefano Ermon , Atri Rudra , Christopher Ré


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TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval



Megan Leszczynski , Daniel Y. Fu , Mayee F. Chen , Christopher Ré

* Accepted to Findings of ACL 2022 

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Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning



Mayee F. Chen , Daniel Y. Fu , Avanika Narayan , Michael Zhang , Zhao Song , Kayvon Fatahalian , Christopher Ré


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Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision



Mayee F. Chen , Daniel Y. Fu , Dyah Adila , Michael Zhang , Frederic Sala , Kayvon Fatahalian , Christopher Ré


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Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings



Mayee F. Chen , Daniel Y. Fu , Frederic Sala , Sen Wu , Ravi Teja Mullapudi , Fait Poms , Kayvon Fatahalian , Christopher Ré


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Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods



Daniel Y. Fu , Mayee F. Chen , Frederic Sala , Sarah M. Hooper , Kayvon Fatahalian , Christopher Ré


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Multi-Resolution Weak Supervision for Sequential Data



Frederic Sala , Paroma Varma , Jason Fries , Daniel Y. Fu , Shiori Sagawa , Saelig Khattar , Ashwini Ramamoorthy , Ke Xiao , Kayvon Fatahalian , James Priest , Christopher Ré

* NeurIPS 2019 (Conference on Neural Information Processing Systems) 

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Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels



Daniel Y. Fu , Will Crichton , James Hong , Xinwei Yao , Haotian Zhang , Anh Truong , Avanika Narayan , Maneesh Agrawala , Christopher Ré , Kayvon Fatahalian


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Influencing Flock Formation in Low-Density Settings



Daniel Y. Fu , Emily S. Wang , Peter M. Krafft , Barbara J. Grosz

* 9 pages, 5 figures, accepted to AAMAS 2018 

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