Saved in:
| Main Authors: | Jang, Won-Jun, Park, Hyeon-Seo, Lee, Si-Hyeon |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.06349 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accelerating LMO-Based Optimization via Implicit Gradient Transport
by: Jang, Won-Jun, et al.
Published: (2026)
by: Jang, Won-Jun, et al.
Published: (2026)
Exactly Minimax-Optimal Locally Differentially Private Sampling
by: Park, Hyun-Young, et al.
Published: (2024)
by: Park, Hyun-Young, et al.
Published: (2024)
Calibration-Free EEG-based Driver Drowsiness Detection with Online Test-Time Adaptation
by: Jang, Geun-Deok, et al.
Published: (2025)
by: Jang, Geun-Deok, et al.
Published: (2025)
Stop Misusing t-SNE and UMAP for Visual Analytics
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
Metric Design != Metric Behavior: Improving Metric Selection for the Unbiased Evaluation of Dimensionality Reduction
by: Bae, Jiyeon, et al.
Published: (2025)
by: Bae, Jiyeon, et al.
Published: (2025)
VPO: Leveraging the Number of Votes in Preference Optimization
by: Cho, Jae Hyeon, et al.
Published: (2024)
by: Cho, Jae Hyeon, et al.
Published: (2024)
VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior
by: Ko, Seungchan, et al.
Published: (2024)
by: Ko, Seungchan, et al.
Published: (2024)
EcoScaleNet: A Lightweight Multi Kernel Network for Long Sequence 12 lead ECG Classification
by: Kang, Dong-Hyeon, et al.
Published: (2025)
by: Kang, Dong-Hyeon, et al.
Published: (2025)
Dataset-Adaptive Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
Less is More: Multimodal Region Representation via Pairwise Inter-view Learning
by: Namgung, Min, et al.
Published: (2025)
by: Namgung, Min, et al.
Published: (2025)
Dimensionality Reduction Considered Harmful (Some of the Time)
by: Jeon, Hyeon
Published: (2025)
by: Jeon, Hyeon
Published: (2025)
Measuring the Validity of Clustering Validation Datasets
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
Transit for All: Mapping Equitable Bike2Subway Connection using Region Representation Learning
by: Namgung, Min, et al.
Published: (2025)
by: Namgung, Min, et al.
Published: (2025)
Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
by: Shim, Seongwoong, et al.
Published: (2025)
by: Shim, Seongwoong, et al.
Published: (2025)
WalkCLIP: Multimodal Learning for Urban Walkability Prediction
by: Xiang, Shilong, et al.
Published: (2025)
by: Xiang, Shilong, et al.
Published: (2025)
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning
by: Ahn, Hongjoon, et al.
Published: (2024)
by: Ahn, Hongjoon, et al.
Published: (2024)
Context-Aware Trajectory Anomaly Detection
by: Hu, Haoji, et al.
Published: (2024)
by: Hu, Haoji, et al.
Published: (2024)
DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
by: Ryu, Hyogon, et al.
Published: (2025)
by: Ryu, Hyogon, et al.
Published: (2025)
ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting
by: Kim, Myung Jin, et al.
Published: (2025)
by: Kim, Myung Jin, et al.
Published: (2025)
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
by: Modoranu, Ionut-Vlad, et al.
Published: (2024)
by: Modoranu, Ionut-Vlad, et al.
Published: (2024)
Action-Sufficient Goal Representations
by: Hyeon, Jinu, et al.
Published: (2026)
by: Hyeon, Jinu, et al.
Published: (2026)
Is Retraining-Free Enough? The Necessity of Router Calibration for Efficient MoE Compression
by: Hyeon, Sieun, et al.
Published: (2026)
by: Hyeon, Sieun, et al.
Published: (2026)
Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models
by: Park, Jungwoo, et al.
Published: (2025)
by: Park, Jungwoo, et al.
Published: (2025)
Generative Language Model for Catalyst Discovery
by: Mok, Dong Hyeon, et al.
Published: (2024)
by: Mok, Dong Hyeon, et al.
Published: (2024)
Machine Learning Nonadiabatic Dynamics: Eliminating Phase Freedom of Nonadiabatic Couplings with the State-Intraction State-Averaged Spin-Restricted Ensemble-Referenced Kohn-Sham Approach
by: Moon, Sung Wook, et al.
Published: (2024)
by: Moon, Sung Wook, et al.
Published: (2024)
Provably Robust Pre-Trained Ensembles for Biomarker-Based Cancer Classification
by: Lee, Chongmin, et al.
Published: (2024)
by: Lee, Chongmin, et al.
Published: (2024)
Tokenizer Choice For LLM Training: Negligible or Crucial?
by: Ali, Mehdi, et al.
Published: (2023)
by: Ali, Mehdi, et al.
Published: (2023)
GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression
by: Lee, Junghyun, et al.
Published: (2025)
by: Lee, Junghyun, et al.
Published: (2025)
LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks
by: Poon, Chung-Hoo, et al.
Published: (2026)
by: Poon, Chung-Hoo, et al.
Published: (2026)
UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
by: Baek, In-Chang, et al.
Published: (2025)
by: Baek, In-Chang, et al.
Published: (2025)
Distortion-Aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
by: Jeon, Hyeon, et al.
Published: (2022)
by: Jeon, Hyeon, et al.
Published: (2022)
Directional Textual Inversion for Personalized Text-to-Image Generation
by: Kim, Kunhee, et al.
Published: (2025)
by: Kim, Kunhee, et al.
Published: (2025)
Rethinking the Use of Vision Transformers for AI-Generated Image Detection
by: Park, NaHyeon, et al.
Published: (2025)
by: Park, NaHyeon, et al.
Published: (2025)
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
by: Hoang, Van Thuy, et al.
Published: (2025)
by: Hoang, Van Thuy, et al.
Published: (2025)
On Provable Benefits of Muon in Federated Learning
by: Zhang, Xinwen, et al.
Published: (2025)
by: Zhang, Xinwen, et al.
Published: (2025)
Robust Beamforming and Time Allocation for Time-Division Cell-Free Near-Field ISAC
by: Son, Chaedam, et al.
Published: (2026)
by: Son, Chaedam, et al.
Published: (2026)
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation
by: Kim, Juno, et al.
Published: (2025)
by: Kim, Juno, et al.
Published: (2025)
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
by: Xu, Siyuan, et al.
Published: (2024)
by: Xu, Siyuan, et al.
Published: (2024)
First Attentions Last: Better Exploiting First Attentions for Efficient Transformer Training
by: Kim, Gyudong, et al.
Published: (2025)
by: Kim, Gyudong, et al.
Published: (2025)
Similar Items
-
Accelerating LMO-Based Optimization via Implicit Gradient Transport
by: Jang, Won-Jun, et al.
Published: (2026) -
Exactly Minimax-Optimal Locally Differentially Private Sampling
by: Park, Hyun-Young, et al.
Published: (2024) -
Calibration-Free EEG-based Driver Drowsiness Detection with Online Test-Time Adaptation
by: Jang, Geun-Deok, et al.
Published: (2025) -
Stop Misusing t-SNE and UMAP for Visual Analytics
by: Jeon, Hyeon, et al.
Published: (2025) -
Metric Design != Metric Behavior: Improving Metric Selection for the Unbiased Evaluation of Dimensionality Reduction
by: Bae, Jiyeon, et al.
Published: (2025)