Co-occurring keywords · papers mentioning both
Papers
Influence Functions for Sequence Tagging Models
EMNLP 2022
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations
NeurIPS 2022
JAWS: Auditing Predictive Uncertainty Under Covariate Shift
NeurIPS 2022
Knowledge Removal in Sampling-based Bayesian Inference
ICLR 2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
ICML 2022
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
AISTATS 2022
Offline change detection under contamination
UAI 2022
Partial Label Learning via Label Influence Function
ICML 2022
Phenomenology of Double Descent in Finite-Width Neural Networks
ICLR 2022
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
EMNLP 2022
Repairing Neural Networks by Leaving the Right Past Behind
NeurIPS 2022
Resolving Training Biases via Influence-based Data Relabeling
ICLR 2022
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime
AAAI 2022
Scaling Up Influence Functions
AAAI 2022
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables
JMLR 2022
The Trade-offs of Domain Adaptation for Neural Language Models
ACL 2022
Understanding Gender Bias in Knowledge Base Embeddings
ACL 2022
Understanding Instance-Level Impact of Fairness Constraints
ICML 2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function
NeurIPS 2022
An Empirical Comparison of Instance Attribution Methods for NLP
NAACL 2021
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning
ICML 2021
Estimating Identifiable Causal Effects through Double Machine Learning
AAAI 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
EMNLP 2021
HILDIF: Interactive Debugging of NLI Models Using Influence Functions
ACL 2021
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
AAAI 2021