Nan Rosemary Ke
17 papers · 2017–2024 · 5 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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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Topic Evolution
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Dynamic Duo
(13)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(84)
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Research topics
Deep Learning
(13)
Artificial Intelligence
(11)
Machine Learning
(11)
Core AI
(10)
Architectures
(9)
Core Methods
(4)
Learning Paradigms Β· Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Models
(3)
Knowledge & Reasoning
(2)
Reinforcement Learning
(2)
Learning Paradigms Β· Machine Learning
(2)
Methods
(2)
Keywords
recurrent neural network
(5)
variational inference
(3)
causal discovery
(2)
reinforcement learning
(2)
question answering
(2)
attention mechanism
(2)
long-term dependency
(2)
neural network
(2)
speech recognition
(2)
temporal sequence
(1)
offline reinforcement learning
(1)
mathematical reasoning
(1)
representation learning
(1)
structure learning
(1)
sample efficiency
(1)
image captioning
(1)
language modeling
(1)
policy gradient
(1)
supervised learning
(1)
prompt engineering
(1)
Papers
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
NeurIPS 2024
Learning to Induce Causal Structure
ICLR 2023
Coordination Among Neural Modules Through a Shared Global Workspace
ICLR 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models
CLeaR 2022
On the Convergence of Continuous Constrained Optimization for Structure Learning
AISTATS 2022
Retrieval-Augmented Reinforcement Learning
ICML 2022
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
NeurIPS 2022
Fast And Slow Learning Of Recurrent Independent Mechanisms
ICLR 2021
Neural Production Systems
NeurIPS 2021
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
ICLR 2020
h-detach: Modifying the LSTM Gradient Towards Better Optimization
ICLR 2019
Modeling the Long Term Future in Model-Based Reinforcement Learning
ICLR 2019
Focused Hierarchical RNNs for Conditional Sequence Processing
ICML 2018
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
NeurIPS 2018
Twin Networks: Matching the Future for Sequence Generation
ICLR 2018
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
NeurIPS 2017
Z-Forcing: Training Stochastic Recurrent Networks
NeurIPS 2017