Karen Simonyan

30 papers · 2013–2022 · 5 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (9)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (9) 🌟 Keyword Trendsetter Combo (5) 📛 The Namer 👑 Triple Crown 🏆 Keyword Champion 👥 Mega-Team (28) 💎 Century Club (30) 🗃️ Keyword Collector (123) 📈 Trend Setter 🔥 Unstoppable (6) 🚀 Conference Pioneer ⚡ Prolific Year (7)

Conferences

ICML (10) NIPS (10) ICLR (6) CVPR (3) EMNLP (1)

Top co-authors

Koray Kavukcuoglu (9) Erich Elsen (9) Oriol Vinyals (9) Andrew Zisserman (6) Sander Dieleman (6) Jeff Donahue (5) Laurent Sifre (4) Simon Osindero (4) Aidan Clark (4) Sebastian Borgeaud (4)

Research topics

Models (1) Core AI (1)

Keywords

convolutional neural network (3) image classification (3) neural network (3) scaling law (2) multi-task learning (2) neural network architecture (2) waveform generation (2) fisher vector (2) monte carlo tree search (2) reinforcement learning (1) transfer learning (1) image generation (1) feature extraction (1) gradient-based optimization (1) deep reinforcement learning (1) action recognition (1) batch normalization (1) few-shot learning (1) representation learning (1) speech synthesis (1)

Papers

Flamingo: a Visual Language Model for Few-Shot Learning NIPS 2022 An empirical analysis of compute-optimal large language model training NIPS 2022 Unified Scaling Laws for Routed Language Models ICML 2022 Improving Language Models by Retrieving from Trillions of Tokens ICML 2022 Machine Translation Decoding beyond Beam Search EMNLP 2021 Practical Real Time Recurrent Learning with a Sparse Approximation ICLR 2021 End-to-end Adversarial Text-to-Speech ICLR 2021 High-Performance Large-Scale Image Recognition Without Normalization ICML 2021 High Fidelity Speech Synthesis with Adversarial Networks ICLR 2020 Off-Policy Actor-Critic with Shared Experience Replay ICML 2020 Evolving Normalization-Activation Layers NIPS 2020 Fast Sparse ConvNets CVPR 2020 Large Scale GAN Training for High Fidelity Natural Image Synthesis ICLR 2019 Large Scale Adversarial Representation Learning NIPS 2019 DARTS: Differentiable Architecture Search ICLR 2019 Hierarchical Representations for Efficient Architecture Search ICLR 2018 Learning to Navigate in Cities Without a Map NIPS 2018 IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ICML 2018 Learning to search with MCTSnets ICML 2018 Efficient Neural Audio Synthesis ICML 2018 Parallel WaveNet: Fast High-Fidelity Speech Synthesis ICML 2018 The challenge of realistic music generation: modelling raw audio at scale NIPS 2018 Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders ICML 2017 Video Pixel Networks ICML 2017 Natural Neural Networks NIPS 2015 Spatial Transformer Networks NIPS 2015 A Compact and Discriminative Face Track Descriptor CVPR 2014 Two-Stream Convolutional Networks for Action Recognition in Videos NIPS 2014 Understanding Objects in Detail with Fine-Grained Attributes CVPR 2014 Deep Fisher Networks for Large-Scale Image Classification NIPS 2013