Ian Goodfellow

25 papers · 2009–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+14 more ↓

🗺️ Taxonomy Completionist (45) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🌱 Topic Pioneer 📛 The Namer 👑 Triple Crown 🏆 Keyword Champion 🧭 Keyword Pioneer 🧬 Topic Evolution 🌟 Keyword Trendsetter Combo (8) 🌈 Renaissance Researcher (6) ❓ The Questioner ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (118)

Venues

NeurIPS (11) ICLR (7) ICML (6) CVPR (1)

Top co-authors

Augustus Odena (5) Yoshua Bengio (3) Aaron Courville (3) Nicolas Papernot (3) Mehdi Mirza (3) Catherine Olsson (3) Colin Raffel (3) Alexey Kurakin (3) Nicholas Carlini (2) Jacob Buckman (2)

Research topics

Machine Learning (23) Deep Learning (18) Learning Types · Machine Learning (16) Models (9) Optimization & Theory (9) Artificial Intelligence (8) Architectures (8) Learning Types · Deep Learning (8) Core AI · Artificial Intelligence (7) Computer Vision (5) Application Areas (5) Core AI · Computer Vision (3) Core Methods (3) Reinforcement Learning (2) Analysis (2)

Keywords

generative adversarial network (8) neural network (7) adversarial example (3) semi-supervised learning (3) image generation (3) image classification (3) inception score (2) representation learning (2) unlabeled data (2) deep neural network (2) neural network robustness (2) evaluation metric (2) adversarial attack (2) game theory (2) computer vision (2) adversarial robustness (2) generative model (2) deep learning (2) unsupervised learning (2) classification (1)

Papers

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking ICML 2025 Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming NeurIPS 2020 A Domain Agnostic Measure for Monitoring and Evaluating GANs NeurIPS 2019 Adversarial Reprogramming of Neural Networks ICLR 2019 Discriminator Rejection Sampling ICLR 2019 Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition ICML 2019 MixMatch: A Holistic Approach to Semi-Supervised Learning NeurIPS 2019 Self-Attention Generative Adversarial Networks ICML 2019 TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing ICML 2019 Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer ICLR 2019 Adversarial Examples that Fool both Computer Vision and Time-Limited Humans NeurIPS 2018 Ensemble Adversarial Training: Attacks and Defenses ICLR 2018 Is Generator Conditioning Causally Related to GAN Performance? ICML 2018 Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step ICLR 2018 MaskGAN: Better Text Generation via Filling in the _______ ICLR 2018 Realistic Evaluation of Deep Semi-Supervised Learning Algorithms NeurIPS 2018 Sanity Checks for Saliency Maps NeurIPS 2018 Thermometer Encoding: One Hot Way To Resist Adversarial Examples ICLR 2018 Improved Techniques for Training GANs NeurIPS 2016 Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016 Unsupervised Learning for Physical Interaction through Video Prediction NeurIPS 2016 Generative Adversarial Nets NeurIPS 2014 Maxout Networks ICML 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Measuring Invariances in Deep Networks NeurIPS 2009