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Scott Reed

15 papers · 2014–2025 · 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (36) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🧬 Topic Evolution πŸ‘₯ Mega-Team Β· Squad πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (79) πŸ“ˆ Trend Setter

Venues

CVPR (4) ICML (4) CoRL (3) ICLR (2) RSS (2)

Top co-authors

Nando de Freitas (5) Honglak Lee (4) Yuke Zhu (3) Linxi Fan (3) David Budden (3) Konrad Zolna (3) Zeynep Akata (3) Sergio GΓ³mez Colmenarejo (3) Yutian Chen (3) Yu Fang (3)

Research topics

Machine Learning (9) Deep Learning (8) Computer Vision (7) Learning Types (7) Reinforcement Learning (6) Models (5) Analysis (4) Applications (4) Artificial Intelligence (3) Architectures (3) Core Methods (3) Generation (3) Methods (3) Robotics (2) Capabilities (2)

Keywords

image generation (3) generalization (2) image classification (2) zero-shot learning (2) density estimation (2) few-shot learning (2) autoregressive model (2) latent action model (2) embedding learning (1) object detection (1) offline reinforcement learning (1) domain adaptation (1) manifold learning (1) video generation (1) feature learning (1) 3d vision (1) emotion recognition (1) data augmentation (1) image synthesis (1) text-to-image synthesis (1)

Papers

DreamGen: Unlocking Generalization in Robot Learning through Video World Models CoRL 2025 FLARE: Robot Learning with Implicit World Modeling CoRL 2025 Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation RSS 2025 Genie: Generative Interactive Environments ICML 2024 Scaling data-driven robotics with reward sketching and batch reinforcement learning RSS 2020 Task-Relevant Adversarial Imitation Learning CoRL 2020 Sample Efficient Adaptive Text-to-Speech ICLR 2019 Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions ICLR 2018 ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans CVPR 2018 Parallel Multiscale Autoregressive Density Estimation ICML 2017 Generative Adversarial Text to Image Synthesis ICML 2016 Learning Deep Representations of Fine-Grained Visual Descriptions CVPR 2016 Evaluation of Output Embeddings for Fine-Grained Image Classification CVPR 2015 Going Deeper With Convolutions CVPR 2015 Learning to Disentangle Factors of Variation with Manifold Interaction ICML 2014