Mohammad Norouzi

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation NIPS 2023 Novel View Synthesis with Diffusion Models ICLR 2023 Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting CVPR 2023 TryOnDiffusion: A Tale of Two UNets CVPR 2023 Character-Aware Models Improve Visual Text Rendering ACL 2023 Cascaded Diffusion Models for High Fidelity Image Generation JMLR 2022 Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding NIPS 2022 Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality ICLR 2022 Video Diffusion Models NIPS 2022 Meta-Learning Fast Weight Language Models EMNLP 2022 Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization ICLR 2021 Mastering Atari with Discrete World Models ICLR 2021 WaveGrad: Estimating Gradients for Waveform Generation ICLR 2021 Why Do Better Loss Functions Lead to Less Transferable Features? NIPS 2021 Big Self-Supervised Models Advance Medical Image Classification ICCV 2021 WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis INTERSPEECH 2021 Benchmarks for Deep Off-Policy Evaluation ICLR 2021 No MCMC for me: Amortized sampling for fast and stable training of energy-based models ICLR 2021 RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning NIPS 2020 An Optimistic Perspective on Offline Reinforcement Learning ICML 2020 Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards NIPS 2020 Your classifier is secretly an energy based model and you should treat it like one ICLR 2020 SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models ICLR 2020 Big Self-Supervised Models are Strong Semi-Supervised Learners NIPS 2020 Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation NIPS 2020 Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation ACL 2020 A Simple Framework for Contrastive Learning of Visual Representations ICML 2020 NASA Neural Articulated Shape Approximation ECCV 2020 Imputer: Sequence Modelling via Imputation and Dynamic Programming ICML 2020 Non-Autoregressive Machine Translation with Latent Alignments EMNLP 2020 Dream to Control: Learning Behaviors by Latent Imagination ICLR 2020 Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse NIPS 2019 Contingency-Aware Exploration in Reinforcement Learning ICLR 2019 Understanding the Impact of Entropy on Policy Optimization ICML 2019 Optimal Completion Distillation for Sequence Learning ICLR 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019 Similarity of Neural Network Representations Revisited ICML 2019 Embedding Text in Hyperbolic Spaces NAACL 2018 Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning NIPS 2018 Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing NIPS 2018 Sequence to Sequence Mixture Model for Diverse Machine Translation CONLL 2018 The Importance of Generation Order in Language Modeling EMNLP 2018 Trust-PCL: An Off-Policy Trust Region Method for Continuous Control ICLR 2018 QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension ICLR 2018 Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018 Device Placement Optimization with Reinforcement Learning ICML 2017 Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs ICML 2017 Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders ICML 2017 Pixel Recursive Super Resolution ICCV 2017 Bridging the Gap Between Value and Policy Based Reinforcement Learning NIPS 2017 Filtering Variational Objectives NIPS 2017 Reward Augmented Maximum Likelihood for Neural Structured Prediction NIPS 2016 Efficient Non-greedy Optimization of Decision Trees NIPS 2015 Cartesian K-Means CVPR 2013 Hamming Distance Metric Learning NIPS 2012