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← Authors

Adam Santoro

19 papers · 2016–2022 · 4 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge
πŸ—ΊοΈ Taxonomy Completionist (33) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (7) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion 🧬 Topic Evolution 🀝 Dynamic Duo (11) πŸ—ƒοΈ Keyword Collector (59) πŸš€ Conference Pioneer πŸ’Ž Century Club (19) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter

Conferences

ICLR (6) ICML (6) NIPS (6) ECCV (1)

Top co-authors

Timothy Lillicrap (11) David Raposo (7) Felix Hill (6) Matthew Botvinick (4) Peter Battaglia (4) Razvan Pascanu (4) Mateusz Malinowski (3) Andrew Lampinen (3) Ari Morcos (2) David Reichert (2)

Keywords

reinforcement learning (4) relational reasoning (3) neural network (3) few-shot learning (2) one-shot learning (2) language modeling (1) multi-task learning (1) transformer architecture (1) visual question answering (1) causal structure (1) self-supervised learning (1) in-context learning (1) relational learning (1) visual reasoning (1) out-of-distribution generalization (1) causal reasoning (1) deep learning (1) visual grounding (1) imitation learning (1) semi-supervised learning (1)

Papers

Tell me why! Explanations support learning relational and causal structure ICML 2022 Intra-agent speech permits zero-shot task acquisition NIPS 2022 Data Distributional Properties Drive Emergent In-Context Learning in Transformers NIPS 2022 A data-driven approach for learning to control computers ICML 2022 Rapid Task-Solving in Novel Environments ICLR 2021 Attention over Learned Object Embeddings Enables Complex Visual Reasoning NIPS 2021 Automated curriculum generation through setter-solver interactions ICLR 2020 Environmental drivers of systematicity and generalization in a situated agent ICLR 2020 Learning to Make Analogies by Contrasting Abstract Relational Structure ICLR 2019 Hyperbolic Attention Networks ICLR 2019 Deep reinforcement learning with relational inductive biases ICLR 2019 An Investigation of Model-Free Planning ICML 2019 Measuring abstract reasoning in neural networks ICML 2018 Learning Visual Question Answering by Bootstrapping Hard Attention ECCV 2018 Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures NIPS 2018 Relational recurrent neural networks NIPS 2018 Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study ICML 2017 A simple neural network module for relational reasoning NIPS 2017 Meta-Learning with Memory-Augmented Neural Networks ICML 2016