Jeremiah Liu
12 papers · 2017–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (5) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (38)
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Renaissance Researcher
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(3)
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Century Club
(12)
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Conferences
EMNLP (4)
NIPS (4)
ACL (2)
AISTATS (1)
IJCNLP (1)
Top co-authors
Keywords
uncertainty quantification
(4)
uncertainty estimation
(4)
model uncertainty
(3)
bayesian nonparametrics
(2)
variable selection
(2)
bayesian inference
(2)
kernel methods
(2)
bayesian neural network
(2)
graph parsing
(2)
content moderation
(2)
human-ai collaboration
(2)
predictive uncertainty
(2)
spectral normalization
(2)
out-of-distribution generalization
(1)
feature importance
(1)
high-dimensional inference
(1)
text summarization
(1)
ensemble learning
(1)
model pruning
(1)
model calibration
(1)
Papers
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
ACL 2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
EMNLP 2023
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty
EMNLP 2023
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification
EMNLP 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
NIPS 2022
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
IJCNLP 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
ACL 2021
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
AISTATS 2021
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior
EMNLP 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
NIPS 2020
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
NIPS 2019
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes
NIPS 2017