Cover Image

MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yuqi, Dong, Junhao, Yang, Chuanguang, Wen, Shiping, Koniusz, Piotr, Huang, Tingwen, Tian, Yingli, Ong, Yew-Soon
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchically Robust Zero-shot Vision-language Models
by: Dong, Junhao, et al.
Published: (2026)

AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models
by: Li, Yuqi, et al.
Published: (2025)

Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training
by: Dong, Junhao, et al.
Published: (2024)

Possibilistic Predictive Uncertainty for Deep Learning
by: Ni, Yao, et al.
Published: (2026)

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection
by: Li, Yuqi, et al.
Published: (2025)

SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models
by: Li, Yuqi, et al.
Published: (2024)

Distilling Time Series Foundation Models for Efficient Forecasting
by: Li, Yuqi, et al.
Published: (2026)

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
by: Li, Yuqi, et al.
Published: (2025)

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation
by: Li, Yuqi, et al.
Published: (2025)

Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations
by: Li, Fan, et al.
Published: (2024)

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation
by: Feng, Weilun, et al.
Published: (2025)

Hit-RAG: Learning to Reason with Long Contexts via Preference Alignment
by: Liu, Junming, et al.
Published: (2026)

Multi-Task Learning with Multi-Task Optimization
by: Bai, Lu, et al.
Published: (2024)

SepPrune: Structured Pruning for Efficient Deep Speech Separation
by: Li, Yuqi, et al.
Published: (2025)

DDTime: Dataset Distillation with Spectral Alignment and Information Bottleneck for Time-Series Forecasting
by: Li, Yuqi, et al.
Published: (2025)

GaitKD: A Universal Decoupled Distillation Framework for Efficient Gait Recognition
by: Li, Yuqi, et al.
Published: (2026)

Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model
by: Wong, Melvin, et al.
Published: (2024)

Video Set Distillation: Information Diversification and Temporal Densification
by: Zhao, Yinjie, et al.
Published: (2024)

Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics
by: Zhao, Yinjie, et al.
Published: (2025)

EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics
by: Xu, Meng, et al.
Published: (2025)

A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
by: Wei, Zhao, et al.
Published: (2025)

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration
by: Yang, Ning, et al.
Published: (2026)

Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
by: Du, Yingpeng, et al.
Published: (2024)

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
by: Yang, Chuanguang, et al.
Published: (2025)

Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
by: He, Xin, et al.
Published: (2025)

ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition
by: Lin, Shen, et al.
Published: (2026)

Self-Evolving Spatial Reasoning in Vision Language Models via Geometric Logic Consistency
by: Liu, Junming, et al.
Published: (2026)

Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation
by: Feng, Kaidong, et al.
Published: (2025)

Lightweight and Accurate Multi-View Stereo with Confidence-Aware Diffusion Model
by: Wang, Fangjinhua, et al.
Published: (2025)

Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
by: Jiang, Xia, et al.
Published: (2026)

Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges
by: Zheng, Zubin, et al.
Published: (2024)

Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS
by: Guo, Tong, et al.
Published: (2026)

Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
by: Liu, Jiao, et al.
Published: (2023)

Finding Sets of Pareto Sets in Real-World Scenarios -- A Multitask Multiobjective Perspective
by: Liu, Jiao, et al.
Published: (2026)

SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search
by: Zhou, Yuyang, et al.
Published: (2025)

Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)

Amortized Active Generation of Pareto Sets
by: Steinberg, Daniel M., et al.
Published: (2025)

CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization
by: Ni, Yao, et al.
Published: (2024)

Feature Hallucination for Self-supervised Action Recognition
by: Wang, Lei, et al.
Published: (2025)

Hard-Label Black-Box Attacks on 3D Point Clouds
by: Liu, Daizong, et al.
Published: (2024)