Cover Image

TRACER: Persistent Regularization for Robust Multimodal Finetuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Asadollahzadeh, Hesam, Liu, Feng, Leckie, Christopher, Erfani, Sarah M.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning
by: Dolatabadi, Hadi M., et al.
Published: (2024)

GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs
by: Parast, Aryan Yazdan, et al.
Published: (2025)

Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models
by: Cui, Kaiyuan, et al.
Published: (2026)

Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation
by: Ghaznavi, Mahdi, et al.
Published: (2024)

LDReg: Local Dimensionality Regularized Self-Supervised Learning
by: Huang, Hanxun, et al.
Published: (2024)

Density-Aware Translation of Spurious Correlations in Zero-Shot VLMs
by: Hasanebrahimi, Afsaneh, et al.
Published: (2026)

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
by: Dolatabadi, Hadi M., et al.
Published: (2023)

Controlling Text-to-Image Diffusion by Orthogonal Finetuning
by: Qiu, Zeju, et al.
Published: (2023)

Adaptive Confidence Regularization for Multimodal Failure Detection
by: Liu, Moru, et al.
Published: (2026)

X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
by: Huang, Hanxun, et al.
Published: (2025)

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
by: Liu, Weiyang, et al.
Published: (2023)

Orthogonal Finetuning Made Scalable
by: Qiu, Zeju, et al.
Published: (2025)

Invariant Representation Guided Multimodal Sentiment Decoding with Sequential Variation Regularization
by: Xu, Guoyang, et al.
Published: (2024)

Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
by: Liu, Tian, et al.
Published: (2024)

Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets
by: Ngnawe, Jonas, et al.
Published: (2023)

Robust Multimodal Learning via Cross-Modal Proxy Tokens
by: Reza, Md Kaykobad, et al.
Published: (2025)

Regularizing Attention Scores with Bootstrapping
by: Chung, Neo Christopher, et al.
Published: (2026)

ULTra: Unveiling Latent Token Interpretability in Transformer-Based Understanding and Segmentation
by: Hosseini, Hesam, et al.
Published: (2024)

Weakly Supervised Pretraining and Multi-Annotator Supervised Finetuning for Facial Wrinkle Detection
by: Moon, Ik Jun, et al.
Published: (2024)

MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling
by: Teo, Rachel S. Y., et al.
Published: (2025)

DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching
by: Aiello, Emanuele, et al.
Published: (2024)

A Robust Incomplete Multimodal Low-Rank Adaptation Approach for Emotion Recognition
by: Zhao, Xinkui, et al.
Published: (2025)

RoHyDR: Robust Hybrid Diffusion Recovery for Incomplete Multimodal Emotion Recognition
by: Jin, Yuehan, et al.
Published: (2025)

Finetuning Text-to-Image Diffusion Models for Fairness
by: Shen, Xudong, et al.
Published: (2023)

Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data Scenarios
by: Fan, Qi, et al.
Published: (2023)

Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning
by: Nguyen, Duy A., et al.
Published: (2025)

Gradient-based Fine-Tuning through Pre-trained Model Regularization
by: Liu, Xuanbo, et al.
Published: (2025)

Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease
by: Sharshar, Ahmed, et al.
Published: (2025)

WISE: Weighted Iterative Society-of-Experts for Robust Multimodal Multi-Agent Debate
by: Cherian, Anoop, et al.
Published: (2025)

Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning
by: Zhang, Haojie, et al.
Published: (2025)

FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
by: Saha, Pramit, et al.
Published: (2024)

Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners
by: Feng, Chun, et al.
Published: (2024)

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
by: Dhakal, Manish, et al.
Published: (2024)

LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
by: Lee, Suhyeon, et al.
Published: (2023)

Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression
by: Chapman, Avraham, et al.
Published: (2022)

Score-Regularized Joint Sampling with Importance Weights for Flow Matching
by: Liu, Xinshuang, et al.
Published: (2025)

GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention
by: Qin, Jiahao, et al.
Published: (2024)

Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models
by: Ryan, Yuriel, et al.
Published: (2026)

Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
by: Wang, Chenguang, et al.
Published: (2024)

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
by: Xu, Ziwen, et al.
Published: (2026)