Nan Rosemary Ke

17 papers · 2017–2024 · 5 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (13) 👑 Triple Crown 🗃️ Keyword Collector (58) ⚡ Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (17) 🔥 Unstoppable (8)

Conferences

ICLR (7) NIPS (6) ICML (2) AISTATS (1) CLEAR (1)

Top co-authors

Yoshua Bengio (13) Anirudh Goyal (8) Anirudh Goyal ALIAS PARTH GOYAL (4) Charles Blundell (3) Michael Mozer (3) Alessandro Sordoni (3) Aniket Didolkar (3) Michael Curtis Mozer (2) Adam Trischler (2) Olexa Bilaniuk (2)

Keywords

recurrent neural network (4) neural network (2) question answering (2) attention mechanism (2) variational inference (2) speech recognition (1) offline reinforcement learning (1) representation learning (1) temporal sequence (1) causal discovery (1) mathematical reasoning (1) sample efficiency (1) structure learning (1) language modeling (1) prompt engineering (1) policy gradient (1) continuous optimization (1) value function (1) sequence learning (1) reinforcement learning (1)

Papers

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving NIPS 2024 Learning to Induce Causal Structure ICLR 2023 Learning Causal Overhypotheses through Exploration in Children and Computational Models CLEAR 2022 Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning NIPS 2022 On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022 Coordination Among Neural Modules Through a Shared Global Workspace ICLR 2022 Retrieval-Augmented Reinforcement Learning ICML 2022 Fast And Slow Learning Of Recurrent Independent Mechanisms ICLR 2021 Neural Production Systems NIPS 2021 A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms ICLR 2020 Modeling the Long Term Future in Model-Based Reinforcement Learning ICLR 2019 h-detach: Modifying the LSTM Gradient Towards Better Optimization ICLR 2019 Twin Networks: Matching the Future for Sequence Generation ICLR 2018 Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding NIPS 2018 Focused Hierarchical RNNs for Conditional Sequence Processing ICML 2018 Z-Forcing: Training Stochastic Recurrent Networks NIPS 2017 Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net NIPS 2017