Julie Shah
23 papers · 2012–2024 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Renaissance Researcher (8) π Interdisciplinary Bridge π Academic Marathon (12) π Conference Polyglot (8) πΊοΈ Taxonomy Completionist (37)
πΊοΈ
Taxonomy Completionist
(37)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π
Conference Pioneer
π
Century Club
(23)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(95)
β
The Questioner
(2)
π
Trend Setter
Conferences
AAAI (4)
IJCAI (4)
RSS (4)
CORL (3)
ICLR (3)
NAACL (3)
EACL (1)
ICML (1)
Top co-authors
Keywords
feature attribution
(3)
model interpretability
(2)
linear temporal logic
(2)
reinforcement learning
(2)
representation learning
(2)
imitation learning
(2)
explanation quality
(2)
human-robot collaboration
(2)
domain adaptation
(2)
human-robot interaction
(2)
motion planning
(2)
interpretable machine learning
(1)
rationale extraction
(1)
trajectory prediction
(1)
model evaluation
(1)
probabilistic modeling
(1)
temporal dynamics
(1)
bayesian inference
(1)
syntactic analysis
(1)
human-in-the-loop learning
(1)
Papers
Learning with Language-Guided State Abstractions
ICLR 2024
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
ICLR 2024
Adaptive Language-Guided Abstraction from Contrastive Explanations
CORL 2024
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications
AAAI 2023
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes
ICLR 2023
The Solvability of Interpretability Evaluation Metrics
EACL 2023
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
ICML 2023
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue
IJCAI 2023
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes
NAACL 2022
The Irrationality of Neural Rationale Models
NAACL 2022
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations
CORL 2022
Do Feature Attribution Methods Correctly Attribute Features?
AAAI 2022
ExSum: From Local Explanations to Model Understanding
NAACL 2022
RoCUS: Robot Controller Understanding via Sampling
CORL 2021
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
AAAI 2021
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution
AAAI 2019
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively
IJCAI 2019
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations
IJCAI 2019
Robotic Assistance in Coordination of Patient Care
RSS 2016
Apprenticeship Scheduling: Learning to Schedule from Human Experts
IJCAI 2016
Decision-Making Authority, Team Efficiency and Human Worker Satisfaction in Mixed Human-Robot Teams
RSS 2014
Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints
RSS 2013
Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing
RSS 2012