David W. Zhang

5 papers · 2023–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ICML (3) CVPR (1) ICLR (1)

Top co-authors

Yan Zhang (3) Gertjan J. Burghouts (3) Cees G. M. Snoek (3) Auke Wiggers (1) Natasha Butt (1) Boris Knyazev (1) Michaël Defferrard (1) Ethan Fetaya (1) Gal Chechik (1) Miltiadis Kofinas (1)

Research topics

Machine Learning (5) Learning Types · Machine Learning (4) Deep Learning (3) Core Methods (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Computer Vision (1) Application Areas (1) Architectures (1) Core AI (1) Generation (1) Models (1)

Keywords

self-supervised learning (2) image generation (1) feature extraction (1) optimal transport (1) program synthesis (1) semantic consistency (1) image annotation (1) implicit neural representation (1) diffusion model (1) object-centric learning (1) slot attention (1) neuro-symbolic approach (1) computational graph (1) permutation symmetry (1) neural network weight (1) graph neural network (1) prioritized experience replay (1) segmentation mask (1) general intelligence (1) hindsight replay (1)

Papers

CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay ICML 2024 Graph Neural Networks for Learning Equivariant Representations of Neural Networks ICLR 2024 Improved Generalization of Weight Space Networks via Augmentations ICML 2024 Self-Guided Diffusion Models CVPR 2023 Unlocking Slot Attention by Changing Optimal Transport Costs ICML 2023