Allison Tam

3 papers · 2022–2023 · 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) 🐣 Hot Topic Early Bird

Venues

ICML (2) NeurIPS (1)

Top co-authors

Felix Hill (3) Jane Wang (2) Nicholas Roy (1) Stephanie Cy Chan (1) Andrew K Lampinen (1) Yunhao Tang (1) Andrea Banino (1) Florian Strub (1) DJ Strouse (1) Adam Santoro (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Core AI (2) Core Methods (2) Learning Types · Machine Learning (2) Deep Learning (1) Knowledge & Reasoning (1) Reinforcement Learning (1) Learning Types · Deep Learning (1) Methods (1) Optimization & Theory (1) Reasoning (1)

Keywords

reinforcement learning (2) representation learning (1) state abstraction (1) relational learning (1) self-supervised learning (1) orthogonal projection (1) out-of-distribution generalization (1) relational reasoning (1) causal structure (1) natural language (1) vision-language model (1) pre-trained representation (1) causal intervention (1) language description (1) vision-language representation (1) exponential moving average (1) semantic exploration (1) predictor network (1) language explanation (1) self-predictive learning (1)

Papers

The Edge of Orthogonality: A Simple View of What Makes BYOL Tick ICML 2023 Semantic Exploration from Language Abstractions and Pretrained Representations NeurIPS 2022 Tell me why! Explanations support learning relational and causal structure ICML 2022