Carole-Jean Wu
- Deep Learning Recommendation Model for Personalization and Recommendation Systems
2019/05/31 by Maxim Naumov, Dheevatsa Mudigere, Naumov, Maxim +45 · 76 citations
Computer Science · #Recommender Systems and Techniques #Privacy-Preserving Technologies in Data #Advanced Graph Neural Networks
- Understanding Scaling Laws for Recommendation Models
2022/08/17 by Newsha Ardalani, Ardalani, Newsha, Carole-Jean Wu +7 · 1 voice · 11 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #cs.IR #cs.LG
- Sustainable AI: Environmental Implications, Challenges and Opportunities
2021/10/30 by Carole-Jean Wu, Wu, Carole-Jean, Ramya Raghavendra +47 · 25 citations
Engineering · Computer Science · #Green IT and Sustainability #IoT and Edge/Fog Computing #Mobile Crowdsensing and Crowdsourcing
- MLPerf Training Benchmark
2019/10/02 by Peter Mattson, Mattson, Peter, Christine Cheng +71 · 20 citations
Computer Science · #Advanced Neural Network Applications #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Performance (cs.PF)
- Chasing Carbon: The Elusive Environmental Footprint of Computing
2020/10/28 by Udit Gupta, Gupta, Udit, Young Geun Kim +13 · 14 citations
Computer Science · Engineering · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Green IT and Sustainability #Hardware Architecture (cs.AR) #Innovative Human-Technology Interaction #Mobile Crowdsensing and Crowdsourcing
- Chasing Carbon: The Elusive Environmental Footprint of Computing
2021/02/01 by Udit Gupta, Young Geun Kim, Sylvia Lee +5 · 1 voice · 10 citations
Computer Science · Engineering · #Green IT and Sustainability #Innovative Human-Technology Interaction #Mobile Crowdsensing and Crowdsourcing
- RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
2019/12/30 by Liu Ke, Udit Gupta, Ke, Liu +39 · 9 citations
Computer Science · #Caching and Content Delivery #Distributed #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Parallel #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- Introducing v0.5 of the AI Safety Benchmark from MLCommons
2024/04/18 by Bertie Vidgen, Adarsh Agrawal, Vidgen, Bertie +202 · 2 voices · 10 citations
Computer Science · #Adversarial Robustness in Machine Learning
- DataPerf: Benchmarks for Data-Centric AI Development
2022/07/20 by Mark Mazumder, Colby Banbury, Mazumder, Mark +78 · 6 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Revisiting Reliability in Large-Scale Machine Learning Research Clusters
2024/10/29 by Apostolos Kokolis, Kokolis, Apostolos, Michael Kuchnik +17 · 12 citations
Business, Management and Accounting · Computer Science · Health Professions · #Artificial Intelligence in Healthcare #Big Data and Business Intelligence #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Parallel #and Cluster Computing (cs.DC)
- RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference
2021/01/29 by Mark Wilkening, Wilkening, Mark, Udit Gupta +11 · 5 citations
Computer Science · #Advanced Data Storage Technologies #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Stochastic Gradient Optimization Techniques
- RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
2022/11/09 by Mark Zhao, Zhao, Mark, Dhruv Choudhary +20 · 5 citations
Computer Science · #Distributed #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Parallel #Performance (cs.PF) #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
- TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models
2021/01/25 by Chunxing Yin, Yin, Chunxing, Bilge Acun +4 · 4 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications
- Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference
2023/03/10 by Haiyang Huang, Huang, Haiyang, Newsha Ardalani +15 · 5 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #Computation and Language (cs.CL) #Distributed #Expert finding and Q&A systems #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
2021/07/16 by Young Geun Kim, Kim, Young Geun, Carole-Jean Wu +1 · 3 citations
Computer Science · #Privacy-Preserving Technologies in Data #Age of Information Optimization #IoT and Edge/Fog Computing
- Hercules: Heterogeneity-Aware Inference Serving for At-Scale\n Personalized Recommendation
2022/03/14 by Ke Liu, Udit Gupta, Ke, Liu +9 · 3 citations
Computer Science · #Caching and Content Delivery #Recommender Systems and Techniques #IoT and Edge/Fog Computing
- Understanding Training Efficiency of Deep Learning Recommendation Models at Scale
2020/11/11 by Bilge Acun, M. Murphy, Acun, Bilge +9 · 2 citations
Computer Science · #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications
- RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation
2022/01/25 by Geet Sethi, Bilge Acun, Sethi, Geet +9 · 2 citations
Computer Science · #Recommender Systems and Techniques #Text and Document Classification Technologies #Image Retrieval and Classification Techniques
- READ: Recurrent Adaptation of Large Transformers
2023/05/24 by John Nguyen, Sid Wang, Nguyen, John +5 · 1 voice · 1 citation
#cs.LG #cs.AI
- GreenScale: Carbon-Aware Systems for Edge Computing
2023/04/01 by Young Geun Kim, Kim, Young Geun, Udit Gupta +11 · 2 citations
Computer Science · Engineering · #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Green IT and Sustainability #Hardware Architecture (cs.AR) #IoT and Edge/Fog Computing #Parallel #and Cluster Computing (cs.DC)
- MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems
2023/10/04 by Samuel Hsia, Hsia, Samuel, Alicia Golden +13 · 3 citations
Computer Science · #Advanced Neural Network Applications #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC)
- Hybrid Architectures for Language Models: Systematic Analysis and Design Insights
2025/10/06 by Sangmin Bae, Bilge Acun, Bae, Sangmin +13 · 1 voice · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #cs.CL
- Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data
2023/12/05 by Yang Yu, Yang, Yu, Aaditya K. Singh +17 · 2 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research #Topic Modeling
- Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
2025/10/02 by Feiyang Kang, Kang, Feiyang, Newsha Ardalani +17 · 3 citations
Social Sciences · #Artificial Intelligence in Law
- Is Flash Attention Stable?
2024/05/05 by Alicia Golden, Samuel Hsia, Golden, Alicia +19 · 2 citations
Engineering · Medicine · #Advanced Image Fusion Techniques #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Ocular and Laser Science Research #Parallel #Retinal Imaging and Analysis #and Cluster Computing (cs.DC)
- Data Acquisition: A New Frontier in Data-centric AI
2023/11/22 by Lingjiao Chen, Chen, Lingjiao, Bilge Acun +19 · 1 citation
Decision Sciences · Business, Management and Accounting · Computer Science · #Data Quality and Management #Big Data and Business Intelligence #Privacy-Preserving Technologies in Data
- Carbon Responder: Coordinating Demand Response for the Datacenter Fleet
2023/11/14 by Jiali Xing, Bilge Acun, Xing, Jiali +13 · 1 citation
Computer Science · Engineering · #Caching and Content Delivery #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Green IT and Sustainability #Hardware Architecture (cs.AR) #Parallel #and Cluster Computing (cs.DC)
- CHAI: Clustered Head Attention for Efficient LLM Inference
2024/03/12 by Saurabh Agarwal, Agarwal, Saurabh, Bilge Acun +12 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis
- CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
2025/05/02 by Irène Wang, Newsha Ardalani, Wang, Irene +15 · 2 citations
Computer Science · Engineering · Materials Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Green IT and Sustainability #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Machine Learning in Materials Science