:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lyu, Hyeonsu, Jang, Jonggyu, Ryu, Sehyun, Yang, Hyun Jong
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence I.2.0
Online Access:	https://arxiv.org/abs/2312.05586
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Faithful and Fast Influence Function via Advanced Sampling
by: Koh, Jungyeon, et al.
Published: (2025)

Rethinking Model Inversion Attacks With Patch-Wise Reconstruction
by: Jang, Jonggyu, et al.
Published: (2023)

Event Detection via Probability Density Function Regression
by: Peng, Clark, et al.
Published: (2024)

FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
by: Xiao, Zikai, et al.
Published: (2024)

Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
by: Elliker, Clément, et al.
Published: (2025)

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
by: Zhang, Jiaxing, et al.
Published: (2023)

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior
by: Gonzalez, Laura Gomezjurado
Published: (2026)

Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
by: Apellániz, Patricia A., et al.
Published: (2024)

An Axiomatic Approach to General Intelligence: SANC(E3) -- Self-organizing Active Network of Concepts with Energy E3
by: Kwon, Daesuk, et al.
Published: (2026)

Equip Pre-ranking with Target Attention by Residual Quantization
by: Li, Yutong, et al.
Published: (2025)

How Data Quality Affects Machine Learning Models for Credit Risk Assessment
by: Maurino, Andrea
Published: (2025)

LaPro-DTA: Latent Dual-View Drug Representations and Salient Protein Feature Extraction for Generalizable Drug--Target Affinity Prediction
by: Dun, Zihan, et al.
Published: (2026)

Deep Reinforcement Learning for Adverse Garage Scenario Generation
by: Li, Kai
Published: (2024)

Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
by: Jang, Jonggyu, et al.
Published: (2024)

Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
by: Dong, Chang, et al.
Published: (2024)

Tracking daily paths in home contexts with RSSI fingerprinting based on UWB through deep learning models
by: Polo-Rodríguez, Aurora, et al.
Published: (2025)

TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting
by: Ha, Junwoo, et al.
Published: (2024)

MultiPruner: Balanced Structure Removal in Foundation Models
by: Muñoz, J. Pablo, et al.
Published: (2025)

Synthetic Tabular Data Validation: A Divergence-Based Approach
by: Apellániz, Patricia A., et al.
Published: (2024)

Deep one-gate per layer networks with skip connections are universal classifiers
by: Rojas, Raul
Published: (2025)

Towards Measuring Goal-Directedness in AI Systems
by: Xu, Dylan, et al.
Published: (2024)

Study of the Proper NNUE Dataset
by: Tan, Daniel, et al.
Published: (2024)

Critical appraisal of artificial intelligence for rare-event recognition: principles and pharmacovigilance case studies
by: Noren, G. Niklas, et al.
Published: (2025)

Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
by: Guo, Xu, et al.
Published: (2024)

Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models
by: Jang, Jonggyu, et al.
Published: (2024)

Unsupervised Anomaly Prediction with N-BEATS and Graph Neural Network in Multi-variate Semiconductor Process Time Series
by: Sorensen, Daniel, et al.
Published: (2025)

Designing for Human-Agent Alignment: Understanding what humans want from their agents
by: Goyal, Nitesh, et al.
Published: (2024)

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
by: Yan, Peng, et al.
Published: (2023)

Interpretability-Guided Bi-objective Optimization: Aligning Accuracy and Explainability
by: Fouladi, Kasra, et al.
Published: (2026)

Avoiding Death through Fear Intrinsic Conditioning
by: Sanchez, Rodney, et al.
Published: (2025)

Graceful task adaptation with a bi-hemispheric RL agent
by: Nicholas, Grant, et al.
Published: (2024)

Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies
by: Belinchon, Hugo Garrido-Lestache, et al.
Published: (2025)

Social Learning through Interactions with Other Agents: A Survey
by: Hillier, Dylan, et al.
Published: (2024)

Uncertainty-Aware Reward Discounting for Mitigating Reward Hacking
by: Singha, Disha
Published: (2026)

Deceptive Diffusion: Generating Synthetic Adversarial Examples
by: Beerens, Lucas, et al.
Published: (2024)

Achieving Distributive Justice in Federated Learning via Uncertainty Quantification
by: Carey, Alycia, et al.
Published: (2025)

Wolkowicz-Styan Upper Bound on the Hessian Eigenspectrum for Cross-Entropy Loss in Nonlinear Smooth Neural Networks
by: Omae, Yuto, et al.
Published: (2026)

Position: Tensor Networks are a Valuable Asset for Green AI
by: Memmel, Eva, et al.
Published: (2022)

Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models
by: Liu, Yiheng, et al.
Published: (2025)

STAR : Bridging Statistical and Agentic Reasoning for Large Model Performance Prediction
by: Wang, Xiaoxiao, et al.
Published: (2026)