Norouzi, Mohammad
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
2016/09/26 by Yonghui Wu, Mike Schuster, Wu, Yonghui +62 · 2 voices · 435 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- Pixel Recursive Super Resolution
2017/02/02 by Ryan Dahl, Dahl, Ryan, Mohammad Norouzi +3 · 4 voices · 3 citations
#cs.CV #cs.LG
- Dream to Control: Learning Behaviors by Latent Imagination
2019/12/03 by Danijar Hafner, Timothy Lillicrap, Hafner, Danijar +5 · 2 voices · 192 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #cs.AI #cs.LG #cs.RO
- Mastering Atari with Discrete World Models
2020/10/05 by Danijar Hafner, Hafner, Danijar, Timothy Lillicrap +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
- A Simple Framework for Contrastive Learning of Visual Representations
2020/02/13 by Ting Chen, Simon Kornblith, Chen, Ting +5 · 1200 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications
- Synthetic Data from Diffusion Models Improves ImageNet Classification
2023/04/17 by Shekoofeh Azizi, Azizi, Shekoofeh, Simon Kornblith +7 · 2 voices · 27 citations
Computer Science · Social Sciences · #Generative Adversarial Networks and Image Synthesis #Computational and Text Analysis Methods #Domain Adaptation and Few-Shot Learning
- Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
2022/05/23 by Chitwan Saharia, Saharia, Chitwan, William Chan +25 · 585 citations
Computer Science · Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Video Diffusion Models
2022/04/07 by Jonathan Ho, Ho, Jonathan, Tim Salimans +9 · 315 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Similarity of Neural Network Representations Revisited
2019/05/01 by Kornblith, Simon, Norouzi, Mohammad, Lee, Honglak +1 · 196 citations
#FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
- WaveGrad: Estimating Gradients for Waveform Generation
2020/09/02 by Nanxin Chen, Chen, Nanxin, Yu Zhang +9 · 1 voice · 45 citations
Computer Science · Engineering · Mathematics · Physics and Astronomy · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Music Technology and Sound Studies #Music and Audio Processing #Sound (cs.SD) #cs.LG #cs.SD #eess.AS #electronic engineering #information engineering #stat.ML
- Image Super-Resolution via Iterative Refinement
2021/04/15 by Chitwan Saharia, Saharia, Chitwan, Jonathan Ho +9 · 133 citations
Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Imagen Video: High Definition Video Generation with Diffusion Models
2022/10/05 by Jonathan Ho, William Chan, Ho, Jonathan +19 · 150 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Computer Graphics and Visualization Techniques #Advanced Image Processing Techniques
- Cascaded Diffusion Models for High Fidelity Image Generation
2021/05/30 by Ho, Jonathan, Saharia, Chitwan, Chan, William +3 · 100 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Palette: Image-to-Image Diffusion Models
2021/11/10 by Chitwan Saharia, Saharia, Chitwan, William Chan +13 · 95 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques
- Neural Combinatorial Optimization with Reinforcement Learning
2016/11/29 by Irwan Bello, Bello, Irwan, Hieu Pham +7 · 57 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research
- Big Self-Supervised Models are Strong Semi-Supervised Learners
2020/06/17 by Ting Chen, Simon Kornblith, Chen, Ting +7 · 85 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Neural Network Applications
- Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
2017/04/05 by Jesse Engel, Engel, Jesse, Cinjon Resnick +11 · 45 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music Technology and Sound Studies #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing
- Bridging the Gap Between Value and Policy Based Reinforcement Learning
2017/02/28 by Ofir Nachum, Mohammad Norouzi, Nachum, Ofir +5 · 51 citations
Computer Science · #Reinforcement Learning in Robotics
- Understanding the impact of entropy on policy optimization
2018/11/27 by Ahmed, Zafarali, Roux, Nicolas Le, Norouzi, Mohammad +1 · 27 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
2022/12/13 by Wang, Su, Saharia, Chitwan, Montgomery, Ceslee +11 · 37 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
2019/12/06 by Grathwohl, Will, Wang, Kuan-Chieh, Jacobsen, Jörn-Henrik +3 · 23 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Big Self-Supervised Models Advance Medical Image Classification
2021/01/13 by Shekoofeh Azizi, Basil Mustafa, Azizi, Shekoofeh +21 · 21 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · Medicine · #AI in cancer detection #Cancer-related molecular mechanisms research #Mycobacterium research and diagnosis
- Zero-Shot Learning by Convex Combination of Semantic Embeddings
2013/12/19 by Mohammad Norouzi, Tomáš Mikolov, Norouzi, Mohammad +13 · 14 citations
Computer Science · Medicine · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Novel View Synthesis with Diffusion Models
2022/10/06 by Daniel Watson, Watson, Daniel, William Chan +9 · 20 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Graphics (cs.GR) #Machine Learning (cs.LG)
- The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
2023/06/02 by Saurabh Saxena, Charles Herrmann, Saxena, Saurabh +11 · 1 voice · 17 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Cell Image Analysis Techniques #cs.CV
- TryOnDiffusion: A Tale of Two UNets
2023/06/14 by Luyang Zhu, Dawei Yang, Zhu, Luyang +13 · 20 citations
Engineering · Computer Science · #3D Shape Modeling and Analysis #Generative Adversarial Networks and Image Synthesis #Computer Graphics and Visualization Techniques
- Device Placement Optimization with Reinforcement Learning
2017/06/13 by Azalia Mirhoseini, Hieu Pham, Mirhoseini, Azalia +17 · 14 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics
- Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
2019/11/06 by James Lucas, Lucas, James, George Tucker +5 · 11 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Learning to Efficiently Sample from Diffusion Probabilistic Models
2021/06/07 by Daniel Watson, Watson, Daniel, Jonathan Ho +5 · 12 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #Generative Adversarial Networks and Image Synthesis
- Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
2018/07/05 by Supasorn Suwajanakorn, Noah Snavely, Suwajanakorn, Supasorn +5 · 14 citations
Computer Science · #Human Pose and Action Recognition #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging
- Embedding Text in Hyperbolic Spaces
2018/06/12 by Dhingra, Bhuwan, Shallue, Christopher J., Norouzi, Mohammad +2 · 7 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Reward Augmented Maximum Likelihood for Neural Structured Prediction
2016/09/01 by Mohammad Norouzi, Norouzi, Mohammad, Samy Bengio +11 · 9 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
2022/02/11 by Daniel Watson, Watson, Daniel, William Chan +5 · 9 citations
Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
2017/07/06 by Ofir Nachum, Mohammad Norouzi, Nachum, Ofir +5 · 8 citations
Computer Science · #Reinforcement Learning in Robotics #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications
- Monocular Depth Estimation using Diffusion Models
2023/02/28 by Saurabh Saxena, Saxena, Saurabh, Abhishek Kar +5 · 7 citations
Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications
- NASA: Neural Articulated Shape Approximation
2019/12/06 by Boyang Deng, Deng, Boyang, JP Lewis +11 · 6 citations
Computer Science · Earth and Planetary Sciences · Engineering · #3D Shape Modeling and Analysis #3D Surveying and Cultural Heritage #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Human Pose and Action Recognition #Machine Learning (cs.LG)
- SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
2021/04/05 by Chan, William, Park, Daniel, Lee, Chris +3 · 5 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- No MCMC for me: Amortized sampling for fast and stable training of energy-based models
2020/10/08 by Grathwohl, Will, Kelly, Jacob, Hashemi, Milad +3 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Why Do Better Loss Functions Lead to Less Transferable Features?
2020/10/30 by Kornblith, Simon, Chen, Ting, Lee, Honglak +1 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Filtering Variational Objectives
2017/05/25 by Maddison, Chris J., Lawson, Dieterich, Tucker, George +5 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Generate, Annotate, and Learn: NLP with Synthetic Text
2021/06/11 by He, Xuanli, Nassar, Islam, Kiros, Jamie +2 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
2021/06/17 by Chen, Nanxin, Zhang, Yu, Zen, Heiga +4 · 3 citations
#Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
- Character-Aware Models Improve Visual Text Rendering
2022/12/20 by Rosanne Liu, Dan Garrette, Liu, Rosanne +17 · 3 citations
Computer Science · Engineering · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Human Motion and Animation #Multimodal Machine Learning Applications
- Imputer: Sequence Modelling via Imputation and Dynamic Programming
2020/02/20 by Chan, William, Saharia, Chitwan, Hinton, Geoffrey +2 · 2 citations
#Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
- Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
2020/05/03 by Xuanli He, He, Xuanli, Gholamreza Haffari +3 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Robust and Efficient Medical Imaging with Self-Supervision
2022/05/19 by Azizi, Shekoofeh, Culp, Laura, Freyberg, Jan +31 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
2018/05/25 by M. N. Anil Kumar, Kumar, Manoj, George E. Dahl +5 · 2 citations
Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Algorithms and Data Compression
- QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
2018/04/23 by Adams Wei Yu, D. Dohan, Yu, Adams Wei +12 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- N-gram Language Modeling using Recurrent Neural Network Estimation
2017/03/31 by Chelba, Ciprian, Norouzi, Mohammad, Bengio, Samy · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Neural Program Synthesis with Priority Queue Training
2018/01/10 by Abolafia, Daniel A., Norouzi, Mohammad, Shen, Jonathan +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Smoothed Action Value Functions for Learning Gaussian Policies
2018/03/06 by Nachum, Ofir, Norouzi, Mohammad, Tucker, George +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Contingency-Aware Exploration in Reinforcement Learning
2018/11/05 by Jongwook Choi, Yijie Guo, Choi, Jongwook +11 · 1 citation
Computer Science · Engineering · #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Evolutionary Algorithms and Applications
- The Importance of Generation Order in Language Modeling
2018/08/23 by Ford, Nicolas, Duckworth, Daniel, Norouzi, Mohammad +1 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
2020/04/01 by Luo, Yucen, Beatson, Alex, Norouzi, Mohammad +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- NiLBS: Neural Inverse Linear Blend Skinning
2020/04/06 by Jeruzalski, Timothy, Levin, David I. W., Jacobson, Alec +3 · 1 citation
#FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG)
- Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
2021/04/28 by Zhang, Michael R., Paine, Tom Le, Nachum, Ofir +4 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Meta-Learning Fast Weight Language Models
2022/12/05 by Clark, Kevin, Guu, Kelvin, Chang, Ming-Wei +3 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences