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James L. McClelland

3 papers · 2020–2024 · 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

CVPR (1) ICLR (1) NeurIPS (1)

Top co-authors

Felix Hill (3) Andrew Lampinen (2) Adam Santoro (2) Alexander Lerchner (1) Drew A. Hudson (1) Rosalia Schneider (1) Loic Matthey (1) Andrew K. Lampinen (1) Mateusz Malinowski (1) Jane Wang (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Natural Language Processing (1) Application Areas (1) Architectures (1) Core AI (1) Core Methods (1) Learning Paradigms (1) Models (1) Resources & Methods (1)

Keywords

transformer architecture (1) representation learning (1) few-shot learning (1) self-supervised learning (1) in-context learning (1) image reconstruction (1) distribution shift (1) diffusion model (1) latent space (1) novel view synthesis (1) systematic generalization (1) view synthesis (1) neural network generalization (1) 3d environment (1) emergent behavior (1) training distribution (1) out-of-sample generalization (1) situated agent (1)

Papers

SODA: Bottleneck Diffusion Models for Representation Learning CVPR 2024 Data Distributional Properties Drive Emergent In-Context Learning in Transformers NeurIPS 2022 Environmental drivers of systematicity and generalization in a situated agent ICLR 2020