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Jimmy Ba

  1. Do Deep Nets Really Need to be Deep?
    2013/12/21 by Lei Jimmy Ba, Jimmy Ba, Ba, Lei Jimmy +2 · 4 voices · 89 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Speech Recognition and Synthesis #cs.LG #cs.NE
  2. Mastering Diverse Domains through World Models
    2023/01/10 by Danijar Hafner, Jurgis Pašukonis, Jurgis Pasukonis +6 · 5 voices · 177 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.AI #cs.LG #stat.ML
  3. Adam: A Method for Stochastic Optimization
    2014/12/22 by Diederik P. Kingma, Kingma, Diederik P., Jimmy Ba +1 · 3232 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  4. Dream to Control: Learning Behaviors by Latent Imagination
    2019/12/03 by Danijar Hafner, Hafner, Danijar, Timothy Lillicrap +5 · 2 voices · 188 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #cs.AI #cs.LG #cs.RO
  5. Mastering Atari with Discrete World Models
    2020/10/05 by Danijar Hafner, Timothy Lillicrap, Hafner, Danijar +5 · 2 voices · 115 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Domain Adaptation and Few-Shot Learning #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
  6. Layer Normalization
    2016/07/21 by Jimmy Ba, Jimmy Lei Ba, Jamie Kiros +5 · 1 voice · 419 citations
    Computer Science · Materials Science · #Machine Learning and ELM #Machine Learning in Materials Science #Neural Networks and Applications #cs.LG #stat.ML
  7. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
    2015/02/10 by Kelvin Xu, Jimmy Ba, Xu, Kelvin +13 · 1 voice · 56 citations
    #cs.LG #cs.CV
  8. Large Language Models Are Human-Level Prompt Engineers
    2022/11/03 by Yongchao Zhou, Zhou, Yongchao, Andrei Ioan Muresanu +11 · 3 voices · 129 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research #Topic Modeling #cs.AI #cs.CL #cs.LG
  9. OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
    2023/10/10 by Keiran Paster, Marco Dos Santos, Paster, Keiran +5 · 3 voices · 21 citations
    Computer Science · #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  10. AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
    2023/05/22 by Yann Dubois, Dubois, Yann, Xuechen Li +15 · 64 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  11. Identifying the Risks of LM Agents with an LM-Emulated Sandbox
    2023/09/25 by Yangjun Ruan, Honghua Dong, Ruan, Yangjun +15 · 62 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Topic Modeling
  12. Benchmarking Model-Based Reinforcement Learning
    2019/07/03 by Tingwu Wang, Wang, Tingwu, Xuchan Bao +17 · 1 voice · 18 citations
    Computer Science · Engineering · Mathematics · #Artificial Intelligence (cs.AI) #Elevator Systems and Control #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Scheduling and Optimization Algorithms #cs.AI #cs.LG #cs.RO #stat.ML
  13. Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
    2017/08/17 by Yuhuai Wu, Wu, Yuhuai, Elman Mansimov +7 · 33 citations
    Computer Science · Engineering · #Adaptive Dynamic Programming Control #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  14. Lookahead Optimizer: k steps forward, 1 step back
    2019/07/19 by Michael R. Zhang, Zhang, Michael R., James Lucas +5 · 22 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
  15. Using Fast Weights to Attend to the Recent Past
    2016/10/20 by Jimmy Ba, Ba, Jimmy, Geoffrey E. Hinton +7 · 18 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
  16. Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
    2018/03/12 by Yeming Wen, Wen, Yeming, Paul Vicol +7 · 19 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  17. Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
    2023/05/19 by Augustin Toma, Toma, Augustin, Patrick R. Lawler +9 · 16 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Topic Modeling
  18. STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
    2023/06/01 by Shalev Lifshitz, Keiran Paster, Lifshitz, Shalev +7 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  19. Exploring Model-based Planning with Policy Networks
    2019/06/20 by Tingwu Wang, Jimmy Ba, Wang, Tingwu +1 · 11 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Real-time simulation and control systems #Reinforcement Learning in Robotics #Robotic Locomotion and Control #Robotics (cs.RO)
  20. Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization
    2023/05/06 by Anastasia Razdaibiedina, Yuning Mao, Razdaibiedina, Anastasia +10 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  21. Using Large Language Models for Hyperparameter Optimization
    2023/12/07 by Michael R. Zhang, Nishkrit Desai, Zhang, Michael R. +7 · 10 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
  22. Graph Normalizing Flows
    2019/05/30 by Jenny Liu, Liu, Jenny, Aviral Kumar +7 · 7 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  23. Reversible Recurrent Neural Networks
    2018/10/25 by Matthew Mackay, Paul Vicol, MacKay, Matthew +5 · 9 citations
    Computer Science · #Neural Networks and Applications #Advanced Neural Network Applications #Time Series Analysis and Forecasting
  24. A Study of Gradient Variance in Deep Learning
    2020/07/09 by Fartash Faghri, David Duvenaud, Faghri, Fartash +5 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  25. You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
    2022/05/31 by Keiran Paster, Sheila A. McIlraith, Paster, Keiran +3 · 4 citations
    Computer Science · Economics, Econometrics and Finance · #Reinforcement Learning in Robotics #Machine Learning and Data Classification #Sports Analytics and Performance
  26. Neural Graph Evolution: Towards Efficient Automatic Robot Design
    2019/06/12 by Tingwu Wang, Yuhao Zhou, Wang, Tingwu +5 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #RNA Research and Splicing #Reinforcement Learning in Robotics #Robotics (cs.RO)
  27. When Does Preconditioning Help or Hurt Generalization?
    2020/06/18 by Шун-ичи Амари, Jimmy Ba, Amari, Shun-ichi +13 · 4 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
  28. Training on Thin Air: Improve Image Classification with Generated Data
    2023/05/24 by Yongchao Zhou, Zhou, Yongchao, Hshmat Sahak +3 · 4 citations
    Computer Science · #AI in cancer detection #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  29. Boosted Prompt Ensembles for Large Language Models
    2023/04/12 by Silviu Pitis, Pitis, Silviu, Michael R. Zhang +5 · 4 citations
    Computer Science · Decision Sciences · #Topic Modeling #Natural Language Processing Techniques #Data Quality and Management
  30. LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
    2021/01/15 by Yuhuai Wu, Markus N. Rabe, Wu, Yuhuai +9 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Neural Networks and Applications #Topic Modeling
  31. Clockwork Variational Autoencoders
    2021/02/18 by Vaibhav Saxena, Jimmy Ba, Saxena, Vaibhav +3 · 2 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning in Healthcare
  32. Action and Perception as Divergence Minimization
    2020/09/03 by Danijar Hafner, Pedro A. Ortega, Hafner, Danijar +9 · 2 citations
    Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Embodied and Extended Cognition #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  33. Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries
    2024/09/01 by Blair Yang, Yang, Blair, Fuyang Cui +11 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  34. TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
    2023/04/26 by Zhaoyan Liu, Liu, Zhaoyan, Noël Vouitsis +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Music and Audio Processing