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Isola, Phillip

  1. The Platonic Representation Hypothesis
    2024/05/13 by Minyoung Huh, Huh, Minyoung, Brian Cheung +5 · 37 voices · 105 citations
    Arts and Humanities · #Classical Philosophy and Thought
  2. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
    2018/01/11 by Zhang, Richard, Isola, Phillip, Efros, Alexei A. +2 · 1481 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR)
  3. Colorful Image Colorization
    2016/03/28 by Richard Zhang, Zhang, Richard, Phillip Isola +3 · 2 voices · 33 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques #cs.CV
  4. Image-to-Image Translation with Conditional Adversarial Networks
    2016/11/21 by Isola, Phillip, Zhu, Jun-Yan, Zhou, Tinghui +1 · 292 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  5. Supervised Contrastive Learning
    2020/04/23 by Prannay Khosla, Piotr Teterwak, Khosla, Prannay +15 · 241 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  6. Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
    2020/05/20 by Wang, Tongzhou, Isola, Phillip · 131 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Contrastive Multiview Coding
    2019/06/13 by Yonglong Tian, Tian, Yonglong, Dilip Krishnan +3 · 147 citations
    Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG) #Video Surveillance and Tracking Methods
  8. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
    2017/03/30 by Jun-Yan Zhu, Taesung Park, Zhu, Jun-Yan +5 · 2 voices · 56 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #cs.CV
  9. CyCADA: Cycle-Consistent Adversarial Domain Adaptation
    2017/11/08 by Judy Hoffman, Eric Tzeng, Hoffman, Judy +13 · 55 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  10. What Makes for Good Views for Contrastive Learning?
    2020/05/20 by Yonglong Tian, Tian, Yonglong, Chen Sun +9 · 68 citations
    Social Sciences · #Adult and Continuing Education Topics #Education and Critical Thinking Development #Educator Training and Historical Pedagogy
  11. Contrastive Representation Distillation
    2019/10/23 by Tian, Yonglong, Krishnan, Dilip, Isola, Phillip · 46 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
    2023/06/15 by Stephanie Fu, Fu, Stephanie, Netanel Y. Tamir +11 · 70 citations
    Computer Science · Neuroscience · #Aesthetic Perception and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Visual Attention and Saliency Detection
  13. What makes fake images detectable? Understanding properties that generalize
    2020/08/24 by Chai, Lucy, Bau, David, Lim, Ser-Nam +1 · 37 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  14. INeRF: Inverting Neural Radiance Fields for Pose Estimation
    2020/12/10 by Yen-Chen Lin, Yen-Chen, Lin, Pete Florence +9 · 31 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Vision and Imaging #Robotics and Sensor-Based Localization
  15. Exploring Visual Prompts for Adapting Large-Scale Models
    2022/03/31 by Bahng, Hyojin, Jahanian, Ali, Sankaranarayanan, Swami +1 · 29 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  16. Improving CLIP Training with Language Rewrites
    2023/05/31 by Fan, Lijie, Krishnan, Dilip, Isola, Phillip +2 · 36 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. The Low-Rank Simplicity Bias in Deep Networks
    2021/03/18 by Minyoung Huh, Hossein Mobahi, Huh, Minyoung +9 · 26 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
  18. Visually Indicated Sounds
    2015/12/28 by Owens, Andrew, Isola, Phillip, McDermott, Josh +3 · 13 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sound (cs.SD)
  19. Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
    2023/07/27 by William Shen, Shen, William, Ge Yang +9 · 25 citations
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Domain Adaptation and Few-Shot Learning
  20. Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
    2023/05/15 by Minyoung Huh, Huh, Minyoung, Brian Cheung +5 · 23 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #AI in cancer detection
  21. Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
    2020/03/25 by Yonglong Tian, Yue Wang, Tian, Yonglong +7 · 18 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  22. Scaling Laws of Synthetic Images for Model Training ... for Now
    2023/12/07 by Lijie Fan, Kaifeng Chen, Fan, Lijie +9 · 23 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  23. StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
    2023/06/01 by Yonglong Tian, Lijie Fan, Tian, Yonglong +7 · 20 citations
    Computer Science · #Multimodal Machine Learning Applications #Generative Adversarial Networks and Image Synthesis #Advanced Image and Video Retrieval Techniques
  24. Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
    2019/03/02 by Joseph Suárez, Suarez, Joseph, Yilun Du +5 · 15 citations
    Computer Science · Social Sciences · #Reinforcement Learning in Robotics #Artificial Intelligence in Games #Evolutionary Game Theory and Cooperation
  25. Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
    2019/02/14 by Pathak, Deepak, Lu, Chris, Darrell, Trevor +2 · 10 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Robotics (cs.RO)
  26. Words That Make Language Models Perceive
    2025/10/02 by Sophie L. Wang, S. Q. Wang, Wang, Sophie L. +4 · 4 voices · 2 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Explainable Artificial Intelligence (XAI)
  27. Scalable Optimization in the Modular Norm
    2024/05/23 by Tim Large, Large, Tim, Yang Liu +9 · 2 voices · 13 citations
    Engineering · Computer Science · #Manufacturing Process and Optimization #Mathematical Control Systems and Analysis
  28. Explaining in Style: Training a GAN to explain a classifier in StyleSpace
    2021/04/27 by Oran Lang, Yossi Gandelsman, Lang, Oran +19 · 9 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #electronic engineering #information engineering
  29. Learning to generate line drawings that convey geometry and semantics
    2022/03/23 by Caroline Chan, Frédo Durand, Chan, Caroline +3 · 9 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Multimodal Machine Learning Applications
  30. Learning to See by Looking at Noise
    2021/06/10 by Manel Baradad, Jonas Wulff, Baradad, Manel +7 · 9 citations
    Computer Science · Neuroscience · #Aesthetic Perception and Analysis #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques
  31. Real-Time User-Guided Image Colorization with Learned Deep Priors
    2017/05/08 by Richard Zhang, Jun-Yan Zhu, Zhang, Richard +11 · 6 citations
    Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Graphics (cs.GR) #Image Enhancement Techniques
  32. The Neural MMO Platform for Massively Multiagent Research
    2021/10/14 by Joseph Suarez, Joseph Suárez, Yilun Du +8 · 1 voice · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Neural Networks and Applications #Reinforcement Learning in Robotics #cs.AI #cs.LG #cs.MA
  33. Persistent Nature: A Generative Model of Unbounded 3D Worlds
    2023/03/23 by Chai, Lucy, Tucker, Richard, Li, Zhengqi +2 · 10 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  34. Automating the Search for Artificial Life with Foundation Models
    2024/12/23 by Akarsh Kumar, Kumar, Akarsh, Chris Xiaoxuan Lu +12 · 6 voices · 9 citations
    Engineering · #Modular Robots and Swarm Intelligence
  35. LangNav: Language as a Perceptual Representation for Navigation
    2023/10/11 by Pan, Bowen, Panda, Rameswar, Jin, SouYoung +4 · 10 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO)
  36. Any-resolution Training for High-resolution Image Synthesis
    2022/04/14 by Lucy Chai, Michaël Gharbi, Chai, Lucy +7 · 7 citations
    Computer Science · #Advanced Vision and Imaging #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques
  37. Learning Vision from Models Rivals Learning Vision from Data
    2023/12/28 by Yonglong Tian, Lijie Fan, Tian, Yonglong +9 · 10 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  38. Denoised MDPs: Learning World Models Better Than the World Itself
    2022/06/30 by Tongzhou Wang, Wang, Tongzhou, Simon S. Du +9 · 1 voice · 5 citations
    #cs.LG
  39. A Vision Check-up for Language Models
    2024/01/03 by Pratyusha Sharma, Sharma, Pratyusha, Tamar Rott Shaham +13 · 9 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  40. Adaptive Length Image Tokenization via Recurrent Allocation
    2024/11/04 by Shivam Duggal, Phillip Isola, Duggal, Shivam +5 · 2 voices · 4 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image and Video Stabilization #Machine Learning (cs.LG) #Robotics (cs.RO) #cs.AI #cs.CV #cs.LG #cs.RO
  41. Learning to See before Learning to Act: Visual Pre-training for Manipulation
    2021/07/01 by Yen-Chen Lin, Andy Zeng, Yen-Chen, Lin +7 · 5 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Processing Techniques and Applications #Robot Manipulation and Learning #Robotics (cs.RO)
  42. GANalyze: Toward Visual Definitions of Cognitive Image Properties
    2019/06/24 by Goetschalckx, Lore, Andonian, Alex, Oliva, Aude +1 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  43. Evolved Policy Gradients
    2018/02/13 by Rein Houthooft, Richard Y. Chen, Houthooft, Rein +11 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Reinforcement Learning in Robotics
  44. Learning Visual Parkour from Generated Images
    2024/10/31 by Alan C. L. Yu, Alan Yu, Yu, Alan +10 · 1 voice · 7 citations
    Health Professions · Psychology · #Adventure Sports and Sensation Seeking #Physical Education and Training Studies #Recreation, Leisure, Wilderness Management #cs.RO
  45. Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
    2016/11/29 by Richard Zhang, Phillip Isola, Zhang, Richard +3 · 3 citations
    Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  46. Curious Representation Learning for Embodied Intelligence
    2021/05/03 by Du, Yilun, Gan, Chuang, Isola, Phillip · 4 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  47. NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields
    2022/03/03 by Yen-Chen, Lin, Florence, Pete, Barron, Jonathan T. +3 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO)
  48. Experience-Embedded Visual Foresight
    2019/11/12 by Yen-Chen Lin, Yen-Chen, Lin, Maria Bauzá +3 · 7 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Anomaly Detection Techniques and Applications #Multimodal Machine Learning Applications
  49. Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups
    2025/03/01 by Pfaff, Nicholas, Fu, Evelyn, Binagia, Jeremy +2 · 12 citations
    #FOS: Computer and information sciences #Robotics (cs.RO)
  50. Semantic uncertainty intervals for disentangled latent spaces
    2022/07/20 by Swami Sankaranarayanan, Anastasios N. Angelopoulos, Sankaranarayanan, Swami +7 · 4 citations
    Computer Science · Neuroscience · #Aesthetic Perception and Analysis #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Visualization and Analytics #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  51. Generative Models as a Data Source for Multiview Representation Learning
    2021/06/09 by Jahanian, Ali, Puig, Xavier, Tian, Yonglong +1 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  52. When Does Perceptual Alignment Benefit Vision Representations?
    2024/10/14 by Shobhita Sundaram, Sundaram, Shobhita, Stephanie Fu +13 · 1 voice · 5 citations
    Neuroscience · #Visual perception and processing mechanisms
  53. Combining Self-Supervised Learning and Imitation for Vision-Based Rope\n Manipulation
    2017/03/06 by Ashvin Nair, Dian Chen, Nair, Ashvin +11 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robot Manipulation and Learning #Robotics (cs.RO) #Soft Robotics and Applications
  54. On the "steerability" of generative adversarial networks
    2019/07/16 by Ali Jahanian, Jahanian, Ali, Lucy Chai +3 · 3 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Digital Media Forensic Detection #Cell Image Analysis Techniques
  55. Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
    2022/11/28 by Wang, Tongzhou, Isola, Phillip · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  56. Personalized Representation from Personalized Generation
    2024/12/20 by Shobhita Sundaram, Julia Chae, Sundaram, Shobhita +7 · 1 voice · 3 citations
    Computer Science · #Distributed and Parallel Computing Systems #cs.CV #cs.LG
  57. Contrastive Feature Loss for Image Prediction
    2021/11/12 by Alex Andonian, Andonian, Alex, Taesung Park +9 · 2 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  58. MIRA: Mental Imagery for Robotic Affordances
    2022/12/12 by Yen-Chen, Lin, Florence, Pete, Zeng, Andy +6 · 2 citations
    #FOS: Computer and information sciences #Robotics (cs.RO)
  59. Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences
    2025/06/02 by Bahng, Hyojin, Chan, Caroline, Durand, Fredo +1 · 7 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  60. Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
    2023/11/07 by Suárez, Joseph, Isola, Phillip, Choe, Kyoung Whan +15 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  61. Assessing Adaptive World Models in Machines with Novel Games
    2025/07/17 by Lance Ying, Ying, Lance, Katherine M. Collins +28 · 2 voices · 6 citations
    Computer Science · #Artificial Intelligence in Games #Computability, Logic, AI Algorithms #Reinforcement Learning in Robotics #cs.AI #cs.LG
  62. Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video
    2019/10/01 by Bauza, Maria, Alet, Ferran, Lin, Yen-Chen +4 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
  63. What Makes for a Good Stereoscopic Image?
    2024/12/30 by Netanel Y. Tamir, Shir Amir, Tamir, Netanel Y. +19 · 1 voice · 2 citations
    #cs.CV
  64. Using latent space regression to analyze and leverage compositionality\n in GANs
    2021/03/18 by Lucy Chai, Chai, Lucy, Jonas Wulff +3 · 1 citation
    Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
  65. Ensembling with Deep Generative Views
    2021/04/29 by Chai, Lucy, Zhu, Jun-Yan, Shechtman, Eli +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  66. Learning to Ground Multi-Agent Communication with Autoencoders
    2021/10/28 by Lin, Toru, Huh, Minyoung, Stauffer, Chris +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  67. Totems: Physical Objects for Verifying Visual Integrity
    2022/09/26 by Jingwei Ma, Lucy Chai, Ma, Jingwei +11 · 1 citation
    Computer Science · Engineering · #Digital Media Forensic Detection #Adversarial Robustness in Machine Learning #Integrated Circuits and Semiconductor Failure Analysis
  68. Developing a Series of AI Challenges for the United States Department of the Air Force
    2022/07/14 by Vijay Gadepally, Gadepally, Vijay, Gregory Angelides +81 · 1 citation
    Business, Management and Accounting · Decision Sciences · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #Computers and Society (cs.CY) #Data Quality and Management #FOS: Computer and information sciences #Scientific Computing and Data Management
  69. Training Transformers with Enforced Lipschitz Constants
    2025/07/17 by Newhouse, Laker, Hess, R. Preston, Cesista, Franz +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  70. Training Neural Networks from Scratch with Parallel Low-Rank Adapters
    2024/02/26 by Huh, Minyoung, Cheung, Brian, Bernstein, Jeremy +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)