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← Authors

Simon Osindero

26 papers · 2003–2024 · 7 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (13) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (7) πŸ† Keyword Champion πŸ‘₯ Mega-Team (28) πŸ‘‘ Triple Crown πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (103) ⚑ Prolific Year (5) πŸ’Ž Century Club (26) πŸ“ˆ Trend Setter

Conferences

ICML (11) NIPS (7) ICLR (4) AISTATS (1) CVPR (1) ECCV (1) JMLR (1)

Top co-authors

Oriol Vinyals (7) Jack Rae (6) Razvan Pascanu (6) Max Jaderberg (6) Erich Elsen (5) Nicolas Heess (5) Koray Kavukcuoglu (5) Karen Simonyan (4) Laurent Sifre (3) Aurelia Guy (3)

Keywords

neural network (3) reinforcement learning (2) synthetic gradient (2) knowledge distillation (2) deep reinforcement learning (2) model compression (2) temporal abstraction (2) recurrent neural network (2) scaling law (2) blind source separation (1) model selection (1) offline reinforcement learning (1) representation learning (1) independent component analysis (1) few-shot learning (1) neural network training (1) neural network pruning (1) curriculum learning (1) epistemic uncertainty (1) function approximation (1)

Papers

Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution ICML 2024 Genie: Generative Interactive Environments ICML 2024 Perception Test: A Diagnostic Benchmark for Multimodal Video Models NIPS 2023 Retrieval-Augmented Reinforcement Learning ICML 2022 An empirical analysis of compute-optimal large language model training NIPS 2022 Unified Scaling Laws for Routed Language Models ICML 2022 Model-Value Inconsistency as a Signal for Epistemic Uncertainty ICML 2022 Improving Language Models by Retrieving from Trillions of Tokens ICML 2022 Practical Real Time Recurrent Learning with a Sparse Approximation ICLR 2021 Entropic Desired Dynamics for Intrinsic Control NIPS 2021 Small Data, Big Decisions: Model Selection in the Small-Data Regime ICML 2020 Meta-Learning Deep Energy-Based Memory Models ICLR 2020 Multiplicative Interactions and Where to Find Them ICLR 2020 Top-KAST: Top-K Always Sparse Training NIPS 2020 Meta-Learning with Latent Embedding Optimization ICLR 2019 Distilling Policy Distillation AISTATS 2019 Massively Parallel Video Networks ECCV 2018 Mix & Match Agent Curricula for Reinforcement Learning ICML 2018 Sobolev Training for Neural Networks NIPS 2017 Understanding Synthetic Gradients and Decoupled Neural Interfaces ICML 2017 Decoupled Neural Interfaces using Synthetic Gradients ICML 2017 FeUdal Networks for Hierarchical Reinforcement Learning ICML 2017 Recursive Recurrent Nets With Attention Modeling for OCR in the Wild CVPR 2016 Strategic Attentive Writer for Learning Macro-Actions NIPS 2016 Modeling image patches with a directed hierarchy of Markov random fields NIPS 2007 Energy-Based Models for Sparse Overcomplete Representations JMLR 2003