Daniel Y. Fu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Entity Retrieval

Machine Learning Models

Top Venues

Publications

Jordan Juravsky, Bradley C. A. Brown, Ryan Saul Ehrlich, Daniel Y. Fu, Christopher Ré, Azalia Mirhoseini
Hydragen: High-Throughput LLM Inference with Shared Prefixes. CoRR (2024)
Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. CoRR (2024)
Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. ICLR (2024)
Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang
High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR (2023)
Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré
Hyena Hierarchy: Towards Larger Convolutional Language Models. CoRR (2023)
Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré
Simple Hardware-Efficient Long Convolutions for Sequence Modeling. ICML (2023)
Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, Aman Timalsina, David W. Romero, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. CoRR (2023)
Daniel Y. Fu, Tri Dao, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré
Hungry Hungry Hippos: Towards Language Modeling with State Space Models. ICLR (2023)
Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. CoRR (2023)
Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. NeurIPS (2023)
Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré
Simple Hardware-Efficient Long Convolutions for Sequence Modeling. CoRR (2023)
Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré
Hyena Hierarchy: Towards Larger Convolutional Language Models. ICML (2023)
Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. CoRR (2023)
Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, David W. Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. NeurIPS (2023)
Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. NeurIPS (2022)
Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. ACL (Findings) (2022)
Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. ICML (2022)
Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR (2022)
Trenton Chang, Daniel Y. Fu
Lost in Transmission: On the Impact of Networking Corruptions on Video Machine Learning Models. CoRR (2022)
Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. CoRR (2022)
Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
Shoring up the foundations: fusing model embeddings and weak supervision. UAI (2022)
Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. CoRR (2022)
Tri Dao, Daniel Y. Fu, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré
Hungry Hungry Hippos: Towards Language Modeling with State Space Models. CoRR (2022)
Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. CoRR (2022)
James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian
Analysis of Faces in a Decade of US Cable TV News. KDD (2021)
Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. CoRR (2020)
Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR (2020)
Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. ICML (2020)
Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer
Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. CoRR (2020)
James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian
Analyzing Who and What Appears in a Decade of US Cable TV News. CoRR (2020)
Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
Multi-Resolution Weak Supervision for Sequential Data. NeurIPS (2019)
Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
Multi-Resolution Weak Supervision for Sequential Data. CoRR (2019)
Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels. CoRR (2019)
Daniel Y. Fu, Emily S. Wang, Peter M. Krafft, Barbara J. Grosz
Influencing Flock Formation in Low-Density Settings. AAMAS (2018)
Daniel Y. Fu, Emily S. Wang, Peter M. Krafft, Barbara J. Grosz
Influencing Flock Formation in Low-Density Settings. CoRR (2018)
Peter Kraft, Amos Waterland, Daniel Y. Fu, Anitha Gollamudi, Shai Szulanski, Margo I. Seltzer
Automatic Parallelization of Sequential Programs. CoRR (2018)