Cover Image

Backbone Augmented Training for Adaptations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Jae Wan, Kim, Junhyeok, Jun, Youngjun, Ko, Hyunah, Hwang, Seong Jae
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpreting Attention Heads for Image-to-Text Information Flow in Large Vision-Language Models
by: Kim, Jinyeong, et al.
Published: (2025)

Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers
by: Jun, Youngjun, et al.
Published: (2026)

Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
by: Jun, Youngjun, et al.
Published: (2024)

Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributes
by: Kim, Donghyun, et al.
Published: (2025)

VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
by: Kang, Junhyeok, et al.
Published: (2025)

CD-Buffer: Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather Object Detection
by: Song, Youngjun, et al.
Published: (2026)

DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment
by: Kwon, Sangwoo, et al.
Published: (2025)

Fast Adaptation with Kernel and Gradient based Meta Leaning
by: Park, JuneYoung, et al.
Published: (2024)

Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
by: Kim, Jinhee, et al.
Published: (2025)

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
by: Kim, Doyoung, et al.
Published: (2023)

Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders
by: Ma, Xin, et al.
Published: (2019)

WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image
by: Park, Jiwoo, et al.
Published: (2025)

RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks
by: Hwang, Seong-Hyeon, et al.
Published: (2024)

DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
by: Baik, Jae Soon, et al.
Published: (2022)

See What You Are Told: Visual Attention Sink in Large Multimodal Models
by: Kang, Seil, et al.
Published: (2025)

Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
by: Kang, Seil, et al.
Published: (2025)

References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation
by: Kim, Doyoung, et al.
Published: (2025)

Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model
by: Choo, Kyobin, et al.
Published: (2024)

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance
by: Shim, Jae Wan
Published: (2025)

Retrieval-Augmented Generation with Estimation of Source Reliability
by: Hwang, Jeongyeon, et al.
Published: (2024)

Dual Precision Deep Neural Network
by: Park, Jae Hyun, et al.
Published: (2020)

MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning
by: Hwang, Seong-Hyeon, et al.
Published: (2025)

From Vicious to Virtuous Cycles: Synergistic Representation Learning for Unsupervised Video Object-Centric Learning
by: Seong, Hyun Seok, et al.
Published: (2026)

Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning
by: Moon, WonJun, et al.
Published: (2026)

DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization
by: Park, Yeonhong, et al.
Published: (2024)

Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
by: Seong, Kiyoung, et al.
Published: (2024)

Integrating Pre-trained Language Model into Neural Machine Translation
by: Hwang, Soon-Jae, et al.
Published: (2023)

Toward Storage-Aware Learning with Compressed Data An Empirical Exploratory Study on JPEG
by: Lee, Kichang, et al.
Published: (2025)

Anchoring and Rescaling Attention for Semantically Coherent Inbetweening
by: Choi, Tae Eun, et al.
Published: (2026)

GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
by: Kim, Minsu, et al.
Published: (2025)

Active Learning for Continual Learning: Keeping the Past Alive in the Present
by: Park, Jaehyun, et al.
Published: (2025)

XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage
by: Lee, Jae-Jun, et al.
Published: (2024)

Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning
by: Lee, Kichang, et al.
Published: (2024)

Universal Time-Series Representation Learning: A Survey
by: Trirat, Patara, et al.
Published: (2024)

Adaptive Policy Backbone via Shared Network
by: Park, Bumgeun, et al.
Published: (2025)

MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
by: Lee, Se Yoon, et al.
Published: (2026)

MIDUS: Memory-Infused Depth Up-Scaling
by: Kim, Taero, et al.
Published: (2025)

VPO: Leveraging the Number of Votes in Preference Optimization
by: Cho, Jae Hyeon, et al.
Published: (2024)

Rule2DRC: Benchmarking LLM Agents for DRC Script Synthesis with Execution-Guided Test Generation
by: Kim, Jinuk, et al.
Published: (2026)

Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
by: Shim, Seongwoong, et al.
Published: (2025)