DAEHOON GWAK
7 papers · 2021–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Gold
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Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(3)
Learning Types
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Application Areas
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Analysis
(1)
Applications · Natural Language Processing
(1)
Applications · Data Science & Analytics
(1)
Core AI
(1)
Keywords
large language model
(2)
zero-shot learning
(1)
distribution alignment
(1)
sample efficiency
(1)
domain adaptation
(1)
anomaly detection
(1)
self-supervised learning
(1)
loss landscape
(1)
time series
(1)
time series forecasting
(1)
event forecasting
(1)
diffusion model
(1)
language model
(1)
reward model
(1)
semantic segmentation
(1)
camera sensor
(1)
long-term forecasting
(1)
predictive uncertainty
(1)
event prediction
(1)
contrastive learning
(1)
Papers
Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models
ACL 2025
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
EMNLP 2025
Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes
CoRL 2025
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
EMNLP 2024
Self-Supervised Contrastive Learning for Long-term Forecasting
ICLR 2024
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
NeurIPS 2023
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
ICCV 2021