conftrace_

Jan Stuehmer

3 papers · 2020–2023 · 2 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze

Venues

ICLR (2) AISTATS (1)

Top co-authors

Timothy Hospedales (2) Shell Xu Hu (1) Richard Turner (1) Sebastian Nowozin (1) Ruchika Chavhan (1) Mehrdad Yaghoobi (1) Cristina Cornelio (1) Calum Heggan (1)

Research topics

Deep Learning (2) Machine Learning (2) Core Methods (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Architectures (1) Core AI (1) Learning Types · Deep Learning (1) Models (1)

Keywords

unsupervised learning (1) representation learning (1) contrastive learning (1) variational inference (1) structured prediction (1) self-supervised learning (1) attention mechanism (1) constraint satisfaction (1) independent subspace analysis (1) latent representation (1) disentangled representation (1) variational autoencoder (1) downstream task (1) feature extractor (1) latent prior (1) neuro-symbolic reasoning (1) amortized invariance learning (1)

Papers

Amortised Invariance Learning for Contrastive Self-Supervision ICLR 2023 Learning where and when to reason in neuro-symbolic inference ICLR 2023 Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020