Nan Rosemary Ke
17 papers · 2017–2024 · 5 conferences · across top CS/AI conferences
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(13)
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(58)
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(5)
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(17)
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(8)
Conferences
ICLR (7)
NIPS (6)
ICML (2)
AISTATS (1)
CLEAR (1)
Top co-authors
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