Renbo Tu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Weakly Supervised

Greenhouse Gases

Top Venues

Publications

Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. ICLR (2024)
Yubo Gao, Maryam Haghifam, Christina Giannoula, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar
Proteus: Preserving Model Confidentiality during Graph Optimizations. CoRR (2024)
Yubo Gao, Maryam Haghifam, Christina Giannoula, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar
Proteus: Preserving Model Confidentiality during Graph Optimizations. MLSys (2024)
Colin White, Renbo Tu, Jean Kossaifi, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
Speeding up Fourier Neural Operators via Mixed Precision. CoRR (2023)
Arjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies. NeurIPS (2022)
Renbo Tu, Nicholas Roberts, Mikhail Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks. NeurIPS (2022)
Renbo Tu, Nicholas Roberts, Vishak Prasad, Sibasis Nayak, Paarth Jain, Frederic Sala, Ganesh Ramakrishnan, Ameet Talwalkar, Willie Neiswanger, Colin White
AutoML for Climate Change: A Call to Action. CoRR (2022)
Arjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies. CoRR (2022)
Minghao Chen, Renbo Tu, Chenxi Huang, Yuqi Lin, Boxi Wu, Deng Cai
Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations. CoRR (2022)
Renbo Tu, Mikhail Khodak, Nicholas Roberts, Ameet Talwalkar
NAS-Bench-360: Benchmarking Diverse Tasks for Neural Architecture Search. CoRR (2021)
Mikhail Khodak, Renbo Tu, Tian Li, Liam Li, Maria-Florina Balcan, Virginia Smith, Ameet Talwalkar
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing. NeurIPS (2021)
Mikhail Khodak, Renbo Tu, Tian Li, Liam Li, Maria-Florina Balcan, Virginia Smith, Ameet Talwalkar
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing. CoRR (2021)
Samarth Tripathi, Renbo Tu
Towards Deeper Generative Architectures for GANs using Dense connections. CoRR (2018)