← Authors

Mohammad Norouzi

55 papers · 2012–2023 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (11) 🌍 Conference Polyglot (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (5) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Keyword Champion πŸ‘‘ Triple Crown 🀝 Dynamic Duo (13) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (193) ❓ The Questioner πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (55)

Conferences

NIPS (16) ICLR (14) ICML (10) CVPR (3) EMNLP (3) ACL (2) ICCV (2) CONLL (1) ECCV (1) INTERSPEECH (1) JMLR (1) NAACL (1)

Top co-authors

William Chan (13) Dale Schuurmans (7) Chitwan Saharia (7) David J Fleet (6) George Tucker (5) Simon Kornblith (5) Geoffrey Hinton (5) Jonathan Ho (5) Ofir Nachum (5) Ting Chen (4)

Keywords

diffusion model (7) reinforcement learning (5) self-supervised learning (4) neural network (4) image generation (4) contrastive learning (3) marginal likelihood (3) representation learning (3) sparse reward (3) machine translation (3) generative model (3) dynamic programming (3) policy optimization (3) structured prediction (3) nearest neighbor search (2) offline reinforcement learning (2) approximate nearest neighbor (2) speech recognition (2) data augmentation (2) semantic parsing (2)

Papers

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