Co-occurring keywords · papers mentioning both
Papers
Retrieval-Augmented Multiple Instance Learning
NeurIPS 2023
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
ACL 2023
You Told Me That Joke Twice: A Systematic Investigation of Transferability and Robustness of Humor Detection Models
EMNLP 2023
Analyzing Biases to Spurious Correlations in Text Classification Tasks
AACL 2022
Certifying Out-of-Domain Generalization for Blackbox Functions
ICML 2022
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
NAACL 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
ACL 2022
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation
NAACL 2022
Invariant Language Modeling
EMNLP 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings
ACL 2022
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition
ACL 2022
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
EMNLP 2022
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
EMNLP 2022
The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization
CVPR 2022
Towards Improving Selective Prediction Ability of NLP Systems
ACL 2022
Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning
COLING 2022
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation
ACL 2021
CNNBiF: CNN-based Bigram Features for Named Entity Recognition
EMNLP 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
NeurIPS 2021
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
EMNLP 2021
On Calibration and Out-of-Domain Generalization
NeurIPS 2021
Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
CVPR 2021
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
ICLR 2021
Domain Adaptive Image-to-Image Translation
CVPR 2020
End-to-End Bias Mitigation by Modelling Biases in Corpora
ACL 2020