N Siddharth

4 papers · 2019–2022 · 3 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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🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

ICML (2) AISTATS (1) UAI (1)

Top co-authors

Sarthak Jain (1) Andrew Gambardella (1) Adam R Kosiorek (1) Dana H. Brooks (1) Emile Mathieu (1) Jan-Willem Meent (1) Jennifer Dy (1) Philip Torr (1) Yuge Shi (1) Hao Wu (1)

Research topics

Machine Learning (3) Deep Learning (2) Core Methods (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Computer Vision (1) Core AI · Artificial Intelligence (1) Core AI · Computer Vision (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Models (1)

Keywords

representation learning (1) adversarial learning (1) vision transformer (1) multi-task learning (1) variational inference (1) transfer learning (1) self-supervised learning (1) hierarchical reinforcement learning (1) mutual information (1) latent variable model (1) latent representation (1) disentangled representation (1) variational autoencoder (1) evidence lower bound (1) option learning (1) variational posterior (1) masked image modeling (1) adversarial objective (1) image encoder (1) planning as inference (1)

Papers

Adversarial Masking for Self-Supervised Learning ICML 2022 Multitask Soft Option Learning UAI 2020 Disentangling Disentanglement in Variational Autoencoders ICML 2019 Structured Disentangled Representations AISTATS 2019