Sarah Erfani
16 papers · 2018–2025 · 10 venues · across top CS/AI venues
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Research topics
Machine Learning
(13)
Deep Learning
(8)
Core Methods
(7)
Artificial Intelligence
(6)
Core AI
(6)
Architectures
(5)
Learning Types Β· Machine Learning
(5)
Natural Language Processing
(3)
Generation
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Analysis
(2)
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Learning Types Β· Deep Learning
(2)
Keywords
deep neural network
(4)
task-oriented dialogue
(3)
adversarial robustness
(2)
loss function
(2)
normalizing flow
(2)
dialogue generation
(2)
multi-hop reasoning
(2)
adversarial example
(2)
graph neural network
(2)
noisy label
(2)
dependency parsing
(1)
self-supervised learning
(1)
certified robustness
(1)
adversarial training
(1)
image classification
(1)
object detection
(1)
feature representation
(1)
information bottleneck
(1)
adversarial learning
(1)
knowledge base
(1)
Papers
Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection
WACV 2025
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining
WACV 2024
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation
ACL 2022
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity
NeurIPS 2022
lβ-Robustness and Beyond: Unleashing Efficient Adversarial Training
ECCV 2022
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering
EMNLP 2022
Ξ±-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
NeurIPS 2021
Detecting Beneficial Feature Interactions for Recommender Systems
AAAI 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
NeurIPS 2021
Generating Deep Networks Explanations with Robust Attribution Alignment
ACML 2021
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
NeurIPS 2020
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
EMNLP 2020
Invertible Generative Modeling using Linear Rational Splines
AISTATS 2020
Normalized Loss Functions for Deep Learning with Noisy Labels
ICML 2020
Dimensionality-Driven Learning with Noisy Labels
ICML 2018
Predicting Complex Activities from Ongoing Multivariate Time Series
IJCAI 2018