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Announcement and open discussion on DMLR (Selected members of DMLR Advisory Board)
Ce Zhang
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Ce Zhang (ETH Zurich)
More from the Same Authors
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2023 : Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models »
Mayee Chen · Nicholas Roberts · Kush Bhatia · Jue Wang · Ce Zhang · Frederic Sala · Christopher Ré -
2023 : GPT-Zip: Deep Compression of Finetuned Large Language Models »
Berivan Isik · Hermann Kumbong · Wanyi Ning · Xiaozhe Yao · Sanmi Koyejo · Ce Zhang -
2023 Workshop: DMLR Workshop: Data-centric Machine Learning Research »
Ce Zhang · Praveen Paritosh · Newsha Ardalani · Nezihe Merve Gürel · William Gaviria Rojas · Yang Liu · Rotem Dror · Manil Maskey · Lilith Bat-Leah · Tzu-Sheng Kuo · Luis Oala · Max Bartolo · Ludwig Schmidt · Alicia Parrish · Daniel Kondermann · Najoung Kim -
2023 Oral: Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time »
Zichang Liu · Jue Wang · Tri Dao · Tianyi Zhou · Binhang Yuan · Zhao Song · Anshumali Shrivastava · Ce Zhang · Yuandong Tian · Christopher Re · Beidi Chen -
2023 Poster: FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU »
Ying Sheng · Lianmin Zheng · Binhang Yuan · Zhuohan Li · Max Ryabinin · Beidi Chen · Percy Liang · Christopher Re · Ion Stoica · Ce Zhang -
2023 Oral: FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU »
Ying Sheng · Lianmin Zheng · Binhang Yuan · Zhuohan Li · Max Ryabinin · Beidi Chen · Percy Liang · Christopher Re · Ion Stoica · Ce Zhang -
2023 Poster: CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks »
Jue Wang · Yucheng Lu · Binhang Yuan · Beidi Chen · Percy Liang · Chris De Sa · Christopher Re · Ce Zhang -
2023 Poster: Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time »
Zichang Liu · Jue Wang · Tri Dao · Tianyi Zhou · Binhang Yuan · Zhao Song · Anshumali Shrivastava · Ce Zhang · Yuandong Tian · Christopher Re · Beidi Chen -
2023 Poster: FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization »
Zhen WANG · Weirui Kuang · Ce Zhang · Bolin Ding · Yaliang Li -
2022 Poster: Certifying Out-of-Domain Generalization for Blackbox Functions »
Maurice Weber · Linyi Li · Boxin Wang · Zhikuan Zhao · Bo Li · Ce Zhang -
2022 Spotlight: Certifying Out-of-Domain Generalization for Blackbox Functions »
Maurice Weber · Linyi Li · Boxin Wang · Zhikuan Zhao · Bo Li · Ce Zhang -
2021 Poster: Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks »
Nezihe Merve Gürel · Xiangyu Qi · Luka Rimanic · Ce Zhang · Bo Li -
2021 Spotlight: Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks »
Nezihe Merve Gürel · Xiangyu Qi · Luka Rimanic · Ce Zhang · Bo Li -
2021 Poster: 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed »
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He -
2021 Spotlight: 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed »
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He -
2021 Poster: Evolving Attention with Residual Convolutions »
Yujing Wang · Yaming Yang · Jiangang Bai · Mingliang Zhang · Jing Bai · JING YU · Ce Zhang · Gao Huang · Yunhai Tong -
2021 Spotlight: Evolving Attention with Residual Convolutions »
Yujing Wang · Yaming Yang · Jiangang Bai · Mingliang Zhang · Jing Bai · JING YU · Ce Zhang · Gao Huang · Yunhai Tong -
2020 Poster: Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript »
Fangcheng Fu · Yuzheng Hu · Yihan He · Jiawei Jiang · Yingxia Shao · Ce Zhang · Bin Cui -
2019 : Networking Lunch (provided) + Poster Session »
Abraham Stanway · Alex Robson · Aneesh Rangnekar · Ashesh Chattopadhyay · Ashley Pilipiszyn · Benjamin LeRoy · Bolong Cheng · Ce Zhang · Chaopeng Shen · Christian Schroeder · Christian Clough · Clement DUHART · Clement Fung · Cozmin Ududec · Dali Wang · David Dao · di wu · Dimitrios Giannakis · Dino Sejdinovic · Doina Precup · Duncan Watson-Parris · Gege Wen · George Chen · Gopal Erinjippurath · Haifeng Li · Han Zou · Herke van Hoof · Hillary A Scannell · Hiroshi Mamitsuka · Hongbao Zhang · Jaegul Choo · James Wang · James Requeima · Jessica Hwang · Jinfan Xu · Johan Mathe · Jonathan Binas · Joonseok Lee · Kalai Ramea · Kate Duffy · Kevin McCloskey · Kris Sankaran · Lester Mackey · Letif Mones · Loubna Benabbou · Lynn Kaack · Matthew Hoffman · Mayur Mudigonda · Mehrdad Mahdavi · Michael McCourt · Mingchao Jiang · Mohammad Mahdi Kamani · Neel Guha · Niccolo Dalmasso · Nick Pawlowski · Nikola Milojevic-Dupont · Paulo Orenstein · Pedram Hassanzadeh · Pekka Marttinen · Ramesh Nair · Sadegh Farhang · Samuel Kaski · Sandeep Manjanna · Sasha Luccioni · Shuby Deshpande · Soo Kim · Soukayna Mouatadid · Sunghyun Park · Tao Lin · Telmo Felgueira · Thomas Hornigold · Tianle Yuan · Tom Beucler · Tracy Cui · Volodymyr Kuleshov · Wei Yu · yang song · Ydo Wexler · Yoshua Bengio · Zhecheng Wang · Zhuangfang Yi · Zouheir Malki -
2019 Poster: Distributed Learning over Unreliable Networks »
Chen Yu · Hanlin Tang · Cedric Renggli · Simon Kassing · Ankit Singla · Dan Alistarh · Ce Zhang · Ji Liu -
2019 Oral: Distributed Learning over Unreliable Networks »
Chen Yu · Hanlin Tang · Cedric Renggli · Simon Kassing · Ankit Singla · Dan Alistarh · Ce Zhang · Ji Liu -
2019 Poster: DL2: Training and Querying Neural Networks with Logic »
Marc Fischer · Mislav Balunovic · Dana Drachsler-Cohen · Timon Gehr · Ce Zhang · Martin Vechev -
2019 Oral: DL2: Training and Querying Neural Networks with Logic »
Marc Fischer · Mislav Balunovic · Dana Drachsler-Cohen · Timon Gehr · Ce Zhang · Martin Vechev -
2018 Poster: Asynchronous Decentralized Parallel Stochastic Gradient Descent »
Xiangru Lian · Wei Zhang · Ce Zhang · Ji Liu -
2018 Poster: $D^2$: Decentralized Training over Decentralized Data »
Hanlin Tang · Xiangru Lian · Ming Yan · Ce Zhang · Ji Liu -
2018 Oral: $D^2$: Decentralized Training over Decentralized Data »
Hanlin Tang · Xiangru Lian · Ming Yan · Ce Zhang · Ji Liu -
2018 Oral: Asynchronous Decentralized Parallel Stochastic Gradient Descent »
Xiangru Lian · Wei Zhang · Ce Zhang · Ji Liu -
2017 Poster: ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning »
Hantian Zhang · Jerry Li · Kaan Kara · Dan Alistarh · Ji Liu · Ce Zhang -
2017 Talk: ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning »
Hantian Zhang · Jerry Li · Kaan Kara · Dan Alistarh · Ji Liu · Ce Zhang