Adam Bielski

3 papers · 2019–2022 · 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

NeurIPS (2) AAAI (1)

Top co-authors

Paolo Favaro (3) Llukman Cerkezi (1) Aram Davtyan (1) Sepehr Sameni (1) Givi Meishvili (1)

Research topics

Deep Learning (3) Machine Learning (3) Computer Vision (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Processing (2) Analysis (1) Architectures (1) Models (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

self-supervised learning (2) object segmentation (2) adversarial learning (1) neural network training (1) image synthesis (1) adversarial training (1) neural network optimization (1) kalman filter (1) object discovery (1) image inpainting (1) generative model (1) salient object detection (1) adaptive optimization (1) adam optimizer (1) generative adversarial network (1) momentum method (1) gradient dynamics (1) layered representation (1) loss adaptivity (1) recursive formulation (1)

Papers

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity AAAI 2022 MOVE: Unsupervised Movable Object Segmentation and Detection NeurIPS 2022 Emergence of Object Segmentation in Perturbed Generative Models NeurIPS 2019