Cover Image

Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yin, Wenzhe, Xiao, Zehao, Zhou, Pan, Yu, Shujian, Shen, Jiayi, Sonke, Jan-Jakob, Gavves, Efstratios
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Domain Adaptation with Cauchy-Schwarz Divergence
by: Yin, Wenzhe, et al.
Published: (2024)

Towards Uniformity and Alignment for Multimodal Representation Learning
by: Yin, Wenzhe, et al.
Published: (2026)

Cross-Modal Retrieval with Cauchy-Schwarz Divergence
by: Zhang, Jiahao, et al.
Published: (2025)

Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
by: Lu, Mingfei, et al.
Published: (2024)

Physics-Guided Radiotherapy Treatment Planning with Deep Learning
by: Achlatis, Stefanos, et al.
Published: (2025)

Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
by: Liu, Jie, et al.
Published: (2025)

Geometric Neural Process Fields
by: Yin, Wenzhe, et al.
Published: (2025)

Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation
by: Liu, Jie, et al.
Published: (2025)

From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields
by: Kofinas, Miltiadis, et al.
Published: (2024)

Cauchy-Schwarz Divergence Information Bottleneck for Regression
by: Yu, Shujian, et al.
Published: (2024)

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
by: Knigge, David M., et al.
Published: (2024)

Mechanistic Neural Networks for Scientific Machine Learning
by: Pervez, Adeel, et al.
Published: (2024)

Mechanistic Interpretability for AI Safety -- A Review
by: Bereska, Leonard, et al.
Published: (2024)

Language Agents Meet Causality -- Bridging LLMs and Causal World Models
by: Gkountouras, John, et al.
Published: (2024)

Superposition as Lossy Compression: Measure with Sparse Autoencoders and Connect to Adversarial Vulnerability
by: Bereska, Leonard, et al.
Published: (2025)

CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
by: Liu, Jie, et al.
Published: (2024)

Continuous Control Reinforcement Learning: Distributed Distributional DrQ Algorithms
by: Zhou, Zehao
Published: (2024)

The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
by: Yu, Shujian, et al.
Published: (2023)

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
by: Spartalis, Christoforos N., et al.
Published: (2025)

Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI
by: Spartalis, Christoforos N., et al.
Published: (2025)

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
by: Didolkar, Aniket, et al.
Published: (2025)

From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models
by: Gumbsch, Christian, et al.
Published: (2026)

Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
by: Liu, Jie, et al.
Published: (2024)

LAMB: LLM-based Audio Captioning with Modality Gap Bridging via Cauchy-Schwarz Divergence
by: Lee, Hyeongkeun, et al.
Published: (2026)

Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
by: Ambekar, Sameer, et al.
Published: (2023)

Multi-Modal Adapter for Vision-Language Models
by: Seputis, Dominykas, et al.
Published: (2024)

When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding
by: Wu, Jinzhou, et al.
Published: (2025)

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
by: Xiao, Yuxin, et al.
Published: (2024)

Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)

Meta-Aligner: Bidirectional Preference-Policy Optimization for Multi-Objective LLMs Alignment
by: Xu, Wenzhe, et al.
Published: (2026)

Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models
by: Lian, Chenyu, et al.
Published: (2025)

Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
by: Wang, Zehao, et al.
Published: (2026)

Evidence-based Distributional Alignment for Large Language Models
by: Pham, Viet-Thanh, et al.
Published: (2026)

LLM Safety Alignment is Divergence Estimation in Disguise
by: Haldar, Rajdeep, et al.
Published: (2025)

Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning
by: Zhao, Hengwei, et al.
Published: (2025)

Grounding Continuous Representations in Geometry: Equivariant Neural Fields
by: Wessels, David R, et al.
Published: (2024)

Beyond Model Adaptation at Test Time: A Survey
by: Xiao, Zehao, et al.
Published: (2024)

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
by: Guo, Hanze, et al.
Published: (2025)

Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment
by: Kim, Dahun, et al.
Published: (2025)

Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows
by: Zhang, Shujian, et al.
Published: (2024)