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Bibliografiske detaljer
Main Authors:	Han, Isaac, Park, Sangyeon, Oh, Seungwon, Kim, Donghu, Lee, Hojoon, Kim, Kyung-Joong
Format:	Preprint
Udgivet:	2026
Fag:	Machine Learning Artificial Intelligence
Online adgang:	https://arxiv.org/abs/2602.08040
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
af: Park, Sangyeon, et al.
Udgivet: (2025)

Recovering Plasticity of Neural Networks via Soft Weight Rescaling
af: Oh, Seungwon, et al.
Udgivet: (2025)

Prism: Spectral Parameter Sharing for Multi-Agent Reinforcement Learning
af: Kim, Kyungbeom, et al.
Udgivet: (2026)

Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
af: Lee, Hojoon, et al.
Udgivet: (2024)

Do's and Don'ts: Learning Desirable Skills with Instruction Videos
af: Kim, Hyunseung, et al.
Udgivet: (2024)

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
af: Kim, Donghu, et al.
Udgivet: (2024)

Dynamic Mixture of Experts Against Severe Distribution Shifts
af: Kim, Donghu
Udgivet: (2025)

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
af: Lee, Hojoon, et al.
Udgivet: (2024)

Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of Plasticity
af: Su, Zhiyuan, et al.
Udgivet: (2025)

Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation RL
af: Kim, Sung-Hyun, et al.
Udgivet: (2025)

IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
af: Baek, In-Chang, et al.
Udgivet: (2025)

AgenticCache: Cache-Driven Asynchronous Planning for Embodied AI Agents
af: Kim, Hojoon, et al.
Udgivet: (2026)

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess
af: Hwang, Dongyoon, et al.
Udgivet: (2025)

Multiverse: Language-Conditioned Multi-Game Level Blending via Shared Representation
af: Baek, In-Chang, et al.
Udgivet: (2026)

Alternating Approach-Putt Models for Multi-Stage Speech Enhancement
af: Jeong, Iksoon, et al.
Udgivet: (2025)

Hyperspherical Normalization for Scalable Deep Reinforcement Learning
af: Lee, Hojoon, et al.
Udgivet: (2025)

Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
af: Oh, YongKyung, et al.
Udgivet: (2024)

FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
af: Oh, YongKyung, et al.
Udgivet: (2025)

DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
af: Oh, YongKyung, et al.
Udgivet: (2024)

Frictional Q-Learning
af: Kim, Hyunwoo, et al.
Udgivet: (2025)

A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
af: Park, Young-Jin, et al.
Udgivet: (2024)

Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
af: Lan, Jiahua, et al.
Udgivet: (2025)

Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening
af: Kim, Hoyong, et al.
Udgivet: (2024)

Stability Analysis of Sharpness-Aware Minimization
af: Kim, Hoki, et al.
Udgivet: (2023)

Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation
af: Lee, Seokju, et al.
Udgivet: (2026)

CUBE: Contrastive Understanding by Balanced Experiments
af: Kim, Dongseok, et al.
Udgivet: (2025)

Position: State-of-the-Art Claims Require State-of-the-Art Evidence
af: Oh, YongKyung
Udgivet: (2026)

TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
af: Oh, YongKyung, et al.
Udgivet: (2025)

Isometry pursuit
af: Koelle, Samson, et al.
Udgivet: (2024)

Comprehensive Review of Neural Differential Equations for Time Series Analysis
af: Oh, YongKyung, et al.
Udgivet: (2025)

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting
af: Qiu, Haomiao, et al.
Udgivet: (2025)

Energy-Efficient Wireless LLM Inference via Uncertainty and Importance-Aware Speculative Decoding
af: Park, Jihoon, et al.
Udgivet: (2025)

Grouped Differential Attention
af: Lim, Junghwan, et al.
Udgivet: (2025)

Subgraph Federated Learning for Local Generalization
af: Kim, Sungwon, et al.
Udgivet: (2025)

End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding
af: Kim, Kwanyoung, et al.
Udgivet: (2023)

Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
af: Oh, YongKyung, et al.
Udgivet: (2025)

Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
af: Elenter, Juan, et al.
Udgivet: (2023)

PassREfinder-FL: Privacy-Preserving Credential Stuffing Risk Prediction via Graph-Based Federated Learning for Representing Password Reuse between Websites
af: Kim, Jaehan, et al.
Udgivet: (2025)

Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning Failures
af: Yoon, Sangyeon, et al.
Udgivet: (2026)

Adversarial Environment Design via Regret-Guided Diffusion Models
af: Chung, Hojun, et al.
Udgivet: (2024)