Will Xiao

2 papers · 2019–2024 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

ICLR (1) NeurIPS (1)

Top co-authors

Qianli Liao (1) Gabriel Kreiman (1) Hanspeter Pfister (1) Spandan Madan (1) Mingran Cao (1) Honglin Chen (1) Margaret Livingstone (1) Tomaso Poggio (1)

Research topics

Artificial Intelligence (2) Machine Learning (2) Deep Learning (1) Interdisciplinary (1) Application Areas (1) Core AI (1) Core Methods (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1) Science (1)

Keywords

image classification (1) neural encoding (1) out-of-distribution generalization (1) distribution shift (1) biological plausibility (1) deep neural network (1) ventral visual cortex (1) deep neural network encoding (1) neuronal response prediction (1) object recognition model (1) encoding model (1) feedback alignment (1) weight transport (1) sign-symmetry algorithm (1)

Papers

Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NeurIPS 2024 Biologically-Plausible Learning Algorithms Can Scale to Large Datasets ICLR 2019