:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, William, Mees, Oier, Kumar, Aviral, Levine, Sergey
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2402.02651
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Ingredients for Robotic Diffusion Transformers
by: Dasari, Sudeep, et al.
Published: (2024)

Multimodal Spatial Language Maps for Robot Navigation and Manipulation
by: Huang, Chenguang, et al.
Published: (2025)

mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs
by: Pai, Jonas, et al.
Published: (2025)

Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models
by: Blank, Nils, et al.
Published: (2024)

GHIL-Glue: Hierarchical Control with Filtered Subgoal Images
by: Hatch, Kyle B., et al.
Published: (2024)

Training Diffusion Models with Reinforcement Learning
by: Black, Kevin, et al.
Published: (2023)

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
by: Zhai, Yuexiang, et al.
Published: (2024)

Enhancing Financial VQA in Vision Language Models using Intermediate Structured Representations
by: Srivastava, Archita, et al.
Published: (2025)

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
by: Yang, Senqiao, et al.
Published: (2025)

Masking Teacher and Reinforcing Student for Distilling Vision-Language Models
by: Lee, Byung-Kwan, et al.
Published: (2025)

CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement Learning
by: Kich, Victor Augusto, et al.
Published: (2024)

Driver Activity Classification Using Generalizable Representations from Vision-Language Models
by: Greer, Ross, et al.
Published: (2024)

Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation
by: Church, Samuel, et al.
Published: (2026)

FastVLM: Efficient Vision Encoding for Vision Language Models
by: Vasu, Pavan Kumar Anasosalu, et al.
Published: (2024)

Decipher-MR: A Vision-Language Foundation Model for 3D MRI Representations
by: Yang, Zhijian, et al.
Published: (2025)

Differentiable Prompt Learning for Vision Language Models
by: Huang, Zhenhan, et al.
Published: (2024)

The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
by: Schneider, Moritz, et al.
Published: (2024)

BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
by: Zhao, Yunhan, et al.
Published: (2024)

Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance
by: Nakamoto, Mitsuhiko, et al.
Published: (2024)

Towards Principled Representation Learning from Videos for Reinforcement Learning
by: Misra, Dipendra, et al.
Published: (2024)

Compositional Entailment Learning for Hyperbolic Vision-Language Models
by: Pal, Avik, et al.
Published: (2024)

Tree of Attributes Prompt Learning for Vision-Language Models
by: Ding, Tong, et al.
Published: (2024)

Parallel In-context Learning for Large Vision Language Models
by: Yamaguchi, Shin'ya, et al.
Published: (2026)

Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems
by: Islam, Chashi Mahiul, et al.
Published: (2024)

Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations
by: Grover, Shresth, et al.
Published: (2025)

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
by: Lin, Zinan, et al.
Published: (2025)

Efficient Few-Shot Learning in Remote Sensing: Fusing Vision and Vision-Language Models
by: Chua, Jia Yun, et al.
Published: (2025)

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
by: Metzen, Jan Hendrik, et al.
Published: (2023)

Continual Learning in Vision-Language Models via Aligned Model Merging
by: Sokar, Ghada, et al.
Published: (2025)

AAPL: Adding Attributes to Prompt Learning for Vision-Language Models
by: Kim, Gahyeon, et al.
Published: (2024)

Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model
by: Yan, Hao, et al.
Published: (2024)

Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
by: Kim, Gahyeon, et al.
Published: (2025)

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
by: Pach, Mateusz, et al.
Published: (2025)

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
by: Yoon, Jaesik, et al.
Published: (2023)

Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning
by: Kim, Kyungsoo, et al.
Published: (2025)

From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models
by: Athalye, Ashay, et al.
Published: (2024)

VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart Agriculture
by: Li, Long, et al.
Published: (2025)

Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning
by: Chen, Yang, et al.
Published: (2024)

Learning Visuotactile Skills with Two Multifingered Hands
by: Lin, Toru, et al.
Published: (2024)

A Retrospect to Multi-prompt Learning across Vision and Language
by: Chen, Ziliang, et al.
Published: (2025)