Jisoo Mok
15 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(11)
Machine Learning
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Core AI
(10)
Deep Learning
(8)
Learning Types Β· Machine Learning
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Application Areas
(6)
Architectures
(4)
Learning Types Β· Deep Learning
(3)
Optimization & Theory Β· Machine Learning
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Analysis
(2)
Learning Paradigms
(2)
Optimization & Theory Β· Deep Learning
(2)
Techniques
(2)
Keywords
neural architecture search
(4)
distribution shift
(3)
out-of-distribution detection
(2)
anomaly detection
(2)
test-time adaptation
(2)
multivariate time series
(2)
vision-language model
(2)
large language model
(2)
domain adaptation
(1)
question answering
(1)
transfer learning
(1)
confidence calibration
(1)
semantic segmentation
(1)
weakly supervised learning
(1)
neuromorphic computing
(1)
adversarial robustness
(1)
task generalization
(1)
task-oriented dialogue
(1)
efficient computing
(1)
information bottleneck
(1)
Papers
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
AAAI 2026
SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination
WACV 2026
Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning
ACL 2026
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
AAAI 2025
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
ICML 2025
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis
ACL 2025
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
NAACL 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
NeurIPS 2024
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It
ACL 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
NeurIPS 2023
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
ICML 2022
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training?
CVPR 2022
Accelerating Neural Architecture Search via Proxy Data
IJCAI 2021
AdvRush: Searching for Adversarially Robust Neural Architectures
ICCV 2021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
NeurIPS 2021