S. M. Ali Eslami

15 papers · 2014–2023 · 5 conferences · across top CS/AI conferences

Achievements

+11 more ↓

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

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion 🚀 Conference Pioneer 🗃️ Keyword Collector (78) ⚡ Prolific Year (6) 💎 Century Club (15) 📈 Trend Setter

Conferences

ICML (6) NIPS (6) AISTATS (1) CORL (1) ICLR (1)

Top co-authors

Danilo Rezende (3) Nicolas Heess (3) Oriol Vinyals (3) Danilo Jimenez Rezende (3) Daniel Tarlow (2) Pushmeet Kohli (2) Yaroslav Ganin (2) John Winn (2) Dan Rosenbaum (2) Peter Battaglia (2)

Keywords

generative model (6) message passing (2) variational autoencoder (2) probabilistic inference (2) few-shot learning (2) variational auto-encoder (2) reinforcement learning (1) contrastive learning (1) transformer architecture (1) adversarial learning (1) sim-to-real transfer (1) variational inference (1) scene understanding (1) 3d reconstruction (1) self-supervised learning (1) image segmentation (1) uncertainty quantification (1) medical imaging (1) attention mechanism (1) function approximation (1)

Papers

Self-supervised video pretraining yields robust and more human-aligned visual representations NIPS 2023 From data to functa: Your data point is a function and you can treat it like one ICML 2022 Multimodal Few-Shot Learning with Frozen Language Models NIPS 2021 Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion CORL 2021 PolyGen: An Autoregressive Generative Model of 3D Meshes ICML 2020 Machine Theory of Mind ICML 2018 Conditional Neural Processes ICML 2018 A Probabilistic U-Net for Segmentation of Ambiguous Images NIPS 2018 Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions ICLR 2018 Generative Temporal Models with Spatial Memory for Partially Observed Environments ICML 2018 Synthesizing Programs for Images using Reinforced Adversarial Learning ICML 2018 Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NIPS 2016 Unsupervised Learning of 3D Structure from Images NIPS 2016 Consensus Message Passing for Layered Graphical Models AISTATS 2015 Just-In-Time Learning for Fast and Flexible Inference NIPS 2014