Karen Simonyan

30 papers · 2013–2022 · 5 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

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🗺️ Taxonomy Completionist (63) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

📛 The Namer 👥 Mega-Team · Squad 🌟 Keyword Trendsetter Combo (4) 👑 Triple Crown 🏆 Keyword Champion 🧭 Keyword Pioneer 🧬 Topic Evolution 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (151)

Venues

ICML (10) NeurIPS (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

Machine Learning (20) Deep Learning (16) Artificial Intelligence (10) Optimization & Theory (10) Core AI (9) Models (8) Computer Vision (7) Architectures (7) Core Methods (6) Techniques (6) Analysis (5) Learning Types (5) Natural Language Processing (4) Reinforcement Learning (4) Application Areas (4)

Keywords

neural architecture search (3) neural network (3) generative adversarial network (3) image classification (3) convolutional neural network (3) multi-task learning (2) monte carlo tree search (2) scaling law (2) waveform generation (2) fisher vector (2) autoregressive model (2) speech synthesis (2) neural network architecture (2) transfer learning (1) network architecture (1) reinforcement learning (1) online learning (1) image generation (1) deep reinforcement learning (1) action recognition (1)

Papers

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