Barbara Hammer
16 papers · 2007–2025 · 9 conferences · across top CS/AI conferences
Achievements
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๐ Academic Marathon (18) ๐งญ Keyword Pioneer ๐ Interdisciplinary Bridge ๐ Conference Polyglot (9) ๐ Cross-Pollinator (13)
๐
Renaissance Researcher
(6)
๐บ๏ธ
Taxonomy Completionist
(29)
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Conference Polyglot
(9)
๐
Grand Slam
๐
Century Club
(16)
โก
Prolific Year
(5)
๐๏ธ
Keyword Collector
(60)
Conferences
ICML (3)
AAAI (2)
AISTATS (2)
ICLR (2)
IJCAI (2)
NIPS (2)
EMNLP (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
shapley value
(5)
model interpretability
(4)
feature attribution
(4)
online learning
(3)
explainable ai
(2)
sampling approximation
(2)
large language model
(2)
feature interaction
(2)
shapley interaction
(2)
explainable artificial intelligence
(2)
few-shot learning
(1)
prompt engineering
(1)
natural language inference
(1)
metric learning
(1)
dimensionality reduction
(1)
embedding learning
(1)
independence testing
(1)
text classification
(1)
zero-shot learning
(1)
stratified sampling
(1)
Papers
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection
NAACL 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
AISTATS 2025
Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions
EMNLP 2025
Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
ICLR 2025
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification
AISTATS 2024
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
ICML 2024
shapiq: Shapley Interactions for Machine Learning
NIPS 2024
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
AAAI 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems
AAAI 2024
SHAP-IQ: Unified Approximation of any-order Shapley Interactions
NIPS 2023
Graph Edit Networks
ICLR 2021
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction
IJCAI 2020
Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)
ICML 2020
Tree Edit Distance Learning via Adaptive Symbol Embeddings
ICML 2018
Self-Adjusting Memory: How to Deal with Diverse Drift Types
IJCAI 2017
Dynamics and Generalization Ability of LVQ Algorithms
JMLR 2007