Ian Goodfellow

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

Achievements

+15 more ↓

🌍 Conference Polyglot (4) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (16)

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (6) 📛 The Namer 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion 🌱 Topic Pioneer 🗃️ Keyword Collector (88) ❓ The Questioner 🚀 Conference Pioneer ⚡ Prolific Year (8) 💎 Century Club (25) 📈 Trend Setter

Conferences

NIPS (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)

Keywords

generative adversarial network (5) neural network (5) semi-supervised learning (3) adversarial robustness (2) deep learning (2) image generation (2) unsupervised learning (2) image classification (2) unlabeled datum (2) generative model (2) adversarial example (2) deep neural network (2) computer vision (2) video prediction (1) game theory (1) classification (1) representation learning (1) entropy minimization (1) feature importance (1) semidefinite programming (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 NIPS 2020 Adversarial Reprogramming of Neural Networks ICLR 2019 TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing ICML 2019 Self-Attention Generative Adversarial Networks ICML 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 NIPS 2019 A Domain Agnostic Measure for Monitoring and Evaluating GANs NIPS 2019 Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer ICLR 2019 Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step ICLR 2018 Sanity Checks for Saliency Maps NIPS 2018 Adversarial Examples that Fool both Computer Vision and Time-Limited Humans NIPS 2018 Realistic Evaluation of Deep Semi-Supervised Learning Algorithms NIPS 2018 Ensemble Adversarial Training: Attacks and Defenses ICLR 2018 Thermometer Encoding: One Hot Way To Resist Adversarial Examples ICLR 2018 MaskGAN: Better Text Generation via Filling in the _______ ICLR 2018 Is Generator Conditioning Causally Related to GAN Performance? ICML 2018 Unsupervised Learning for Physical Interaction through Video Prediction NIPS 2016 Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016 Improved Techniques for Training GANs NIPS 2016 Generative Adversarial Nets NIPS 2014 Maxout Networks ICML 2013 Multi-Prediction Deep Boltzmann Machines NIPS 2013 Measuring Invariances in Deep Networks NIPS 2009