:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Minwook, Kim, Juseong, Kim, Ki Beom, Song, Giltae
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2310.06380
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning
by: Kim, Wall, et al.
Published: (2026)

AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
by: Kim, Changhun, et al.
Published: (2024)

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
by: Kim, Jinhee, et al.
Published: (2024)

Generating High Dimensional User-Specific Wireless Channels using Diffusion Models
by: Lee, Taekyun, et al.
Published: (2024)

CAST: Clustering Self-Attention using Surrogate Tokens for Efficient Transformers
by: van Engelenhoven, Adjorn, et al.
Published: (2024)

Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
by: Nam, Jaehyun, et al.
Published: (2024)

Knowing When to Answer: Adaptive Confidence Refinement for Reliable Audio-Visual Question Answering
by: Tran, Dinh Phu, et al.
Published: (2026)

Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning
by: Kim, Junseok, et al.
Published: (2026)

Distortion-Aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
by: Jeon, Hyeon, et al.
Published: (2022)

Active Learning for WBAN-based Health Monitoring
by: Chiu, Cho-Chun, et al.
Published: (2024)

Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization?
by: Choi, Jeongwhan, et al.
Published: (2025)

To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
by: Kim, Jungkyu, et al.
Published: (2024)

Design and Implementation of an Automated Disaster-recovery System for a Kubernetes Cluster Using LSTM
by: Kim, Ji-Beom, et al.
Published: (2024)

Weight-Informed Self-Explaining Clustering for Mixed-Type Tabular Data
by: Li, Lehao, et al.
Published: (2026)

Transformers for Tabular Data: A Training Perspective of Self-Attention via Optimal Transport
by: Quadrio, Alessandro, et al.
Published: (2025)

ReTabSyn: Realistic Tabular Data Synthesis via Reinforcement Learning
by: Lin, Xiaofeng, et al.
Published: (2026)

Fair Clustering via Alignment
by: Kim, Kunwoong, et al.
Published: (2025)

CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models
by: Huang, Weiyu, et al.
Published: (2025)

Query-Conditioned Test-Time Self-Training for Large Language Models
by: Song, Chaehee, et al.
Published: (2026)

Simulation-Free Training of Neural ODEs on Paired Data
by: Kim, Semin, et al.
Published: (2024)

Interpretable Deep Clustering for Tabular Data
by: Svirsky, Jonathan, et al.
Published: (2023)

AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
by: Koh, Woosung, et al.
Published: (2025)

Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation
by: Kim, Youngjoong, et al.
Published: (2026)

CARTE: Pretraining and Transfer for Tabular Learning
by: Kim, Myung Jun, et al.
Published: (2024)

Self-Abstraction Learning for Effective and Stable Training of Deep Neural Networks
by: Cho, Wonyong, et al.
Published: (2026)

ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction
by: Kim, Jinwoong, et al.
Published: (2026)

Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
by: Kim, Hee-Sung, et al.
Published: (2026)

RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data
by: Choi, Tae-Min, et al.
Published: (2020)

Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
by: Kim, Jaekyeom, et al.
Published: (2024)

Validity of Feature Importance in Low-Performing Machine Learning for Tabular Biomedical Data
by: Lee, Youngro, et al.
Published: (2024)

Uncertainty Estimation via Hyperspherical Confidence Mapping
by: Choi, Eunseo, et al.
Published: (2026)

MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data
by: Ling, Yaobin, et al.
Published: (2024)

Trajectory-Based Difficulty Scoring for Reliable Learning on Tabular Data
by: Lavi, Tomer, et al.
Published: (2026)

Tabular Transfer Learning via Prompting LLMs
by: Nam, Jaehyun, et al.
Published: (2024)

Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks
by: Kim, Jeongmo, et al.
Published: (2025)

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts
by: Lee, Jihye, et al.
Published: (2025)

Causal K-Means Clustering
by: Kim, Kwangho, et al.
Published: (2024)

Tabular Foundation Models Can Do Survival Analysis
by: Kim, Da In, et al.
Published: (2026)

Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
by: Jun, Kwang-Sung, et al.
Published: (2024)

Ensuring Reliability in Programming Knowledge Tracing: A Re-evaluation of Attention-augmented Models and Experimental Protocols
by: Kim, Jaewook, et al.
Published: (2026)