Jisoo Mok
15 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (12)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(5)
🤝
Dynamic Duo
(13)
🧬
Topic Evolution
💎
Century Club
(13)
🗃️
Keyword Collector
(65)
❓
The Questioner
🔥
Unstoppable
(6)
Conferences
ACL (3)
NIPS (3)
AAAI (2)
ICML (2)
CVPR (1)
ICCV (1)
IJCAI (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
neural architecture search
(4)
distribution shift
(3)
out-of-distribution detection
(2)
test-time adaptation
(2)
large language model
(2)
anomaly detection
(1)
domain adaptation
(1)
robust optimization
(1)
question answering
(1)
weakly supervised learning
(1)
confidence calibration
(1)
transfer learning
(1)
neuromorphic computing
(1)
adversarial training
(1)
task-oriented dialogue
(1)
cross-modal transfer
(1)
task generalization
(1)
efficient computing
(1)
energy efficiency
(1)
information bottleneck
(1)
Papers
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
AAAI 2026
Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning
ACL 2026
SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination
WACV 2026
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
ICML 2025
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
AAAI 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
NIPS 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
NIPS 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
AdvRush: Searching for Adversarially Robust Neural Architectures
ICCV 2021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
NIPS 2021
Accelerating Neural Architecture Search via Proxy Data
IJCAI 2021