Ilya Sutskever

Scaling and evaluating sparse autoencoders ICLR 2025 Let's Verify Step by Step ICLR 2024 Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision ICML 2024 Consistency Models ICML 2023 Formal Mathematics Statement Curriculum Learning ICLR 2023 Robust Speech Recognition via Large-Scale Weak Supervision ICML 2023 GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models ICML 2022 Learning Transferable Visual Models From Natural Language Supervision ICML 2021 Zero-Shot Text-to-Image Generation ICML 2021 Deep Double Descent: Where Bigger Models and More Data Hurt ICLR 2020 Distribution Augmentation for Generative Modeling ICML 2020 Generative Pretraining From Pixels ICML 2020 Language Models are Few-Shot Learners NeurIPS 2020 FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models ICLR 2019 GamePad: A Learning Environment for Theorem Proving ICLR 2019 Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018 Emergent Complexity via Multi-Agent Competition ICLR 2018 The Importance of Sampling inMeta-Reinforcement Learning NeurIPS 2018 One-Shot Imitation Learning NeurIPS 2017 An Online Sequence-to-Sequence Model Using Partial Conditioning NeurIPS 2016 Continuous Deep Q-Learning with Model-based Acceleration ICML 2016 Improved Variational Inference with Inverse Autoregressive Flow NeurIPS 2016 InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets NeurIPS 2016 Addressing the Rare Word Problem in Neural Machine Translation ACL 2015 An Empirical Exploration of Recurrent Network Architectures ICML 2015 Grammar as a Foreign Language NeurIPS 2015 Dropout: A Simple Way to Prevent Neural Networks from Overfitting JMLR 2014 Sequence to Sequence Learning with Neural Networks NeurIPS 2014 Distributed Representations of Words and Phrases and their Compositionality NeurIPS 2013 On the importance of initialization and momentum in deep learning ICML 2013 Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013 Cardinality Restricted Boltzmann Machines NeurIPS 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 On the Convergence Properties of Contrastive Divergence AISTATS 2010 Parallelizable Sampling of Markov Random Fields AISTATS 2010 Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 Using matrices to model symbolic relationship NeurIPS 2008 Learning Multilevel Distributed Representations for High-Dimensional Sequences AISTATS 1999 Visualizing Similarity Data with a Mixture of Maps AISTATS 1999