Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Giammarino, Vittorio, Queeney, James, Paschalidis, Ioannis Ch. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adversarial Imitation Learning from Visual Observations using Latent Information
by: Giammarino, Vittorio, et al.
Published: (2023)
by: Giammarino, Vittorio, et al.
Published: (2023)
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees
by: Chen, Yilei, et al.
Published: (2024)
by: Chen, Yilei, et al.
Published: (2024)
Beyond Domain Randomization: Event-Inspired Perception for Visually Robust Adversarial Imitation from Videos
by: Ramazzina, Andrea, et al.
Published: (2025)
by: Ramazzina, Andrea, et al.
Published: (2025)
DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation
by: Hu, Jiaming, et al.
Published: (2025)
by: Hu, Jiaming, et al.
Published: (2025)
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations
by: Ozcan, Erhan Can, et al.
Published: (2024)
by: Ozcan, Erhan Can, et al.
Published: (2024)
Visual Imitation Learning with Calibrated Contrastive Representation
by: Wang, Yunke, et al.
Published: (2024)
by: Wang, Yunke, et al.
Published: (2024)
Towards General Preference Alignment: Diffusion Models at Nash Equilibrium
by: Hu, Jiaming, et al.
Published: (2026)
by: Hu, Jiaming, et al.
Published: (2026)
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games
by: Schäfer, Lukas, et al.
Published: (2023)
by: Schäfer, Lukas, et al.
Published: (2023)
Sequential Contrastive Audio-Visual Learning
by: Tsiamas, Ioannis, et al.
Published: (2024)
by: Tsiamas, Ioannis, et al.
Published: (2024)
Compositional Adversarial Training for Robust Visual Watermarking
by: Satheesh, Anirudh, et al.
Published: (2026)
by: Satheesh, Anirudh, et al.
Published: (2026)
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
by: Liu, Zhenyu, et al.
Published: (2024)
by: Liu, Zhenyu, et al.
Published: (2024)
ActLoc: Learning to Localize on the Move via Active Viewpoint Selection
by: Li, Jiajie, et al.
Published: (2025)
by: Li, Jiajie, et al.
Published: (2025)
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
by: Feng, Chen, et al.
Published: (2021)
by: Feng, Chen, et al.
Published: (2021)
Supervised Contrastive Frame Aggregation for Video Representation Learning
by: Chowdhury, Shaif, et al.
Published: (2025)
by: Chowdhury, Shaif, et al.
Published: (2025)
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
by: Du, Chaoqun, et al.
Published: (2024)
by: Du, Chaoqun, et al.
Published: (2024)
SigCLR: Sigmoid Contrastive Learning of Visual Representations
by: Çağatan, Ömer Veysel
Published: (2024)
by: Çağatan, Ömer Veysel
Published: (2024)
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
by: Guille-Escuret, Charles, et al.
Published: (2022)
by: Guille-Escuret, Charles, et al.
Published: (2022)
Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos
by: Zhai, Albert J., et al.
Published: (2026)
by: Zhai, Albert J., et al.
Published: (2026)
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
by: Qi, Qi, et al.
Published: (2024)
by: Qi, Qi, et al.
Published: (2024)
Generalization Bounds for Robust Contrastive Learning: From Theory to Practice
by: Tran, Ngoc N., et al.
Published: (2023)
by: Tran, Ngoc N., et al.
Published: (2023)
Enhancing Adversarial Robustness through Multi-Objective Representation Learning
by: Hotegni, Sedjro Salomon, et al.
Published: (2024)
by: Hotegni, Sedjro Salomon, et al.
Published: (2024)
Adversarial Robustness for Deep Learning-based Wildfire Prediction Models
by: Ide, Ryo, et al.
Published: (2024)
by: Ide, Ryo, et al.
Published: (2024)
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning
by: Satou, Hana, et al.
Published: (2025)
by: Satou, Hana, et al.
Published: (2025)
Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient
by: Ma, Yintai, et al.
Published: (2024)
by: Ma, Yintai, et al.
Published: (2024)
Good Data Is All Imitation Learning Needs
by: Samadi, Amir, et al.
Published: (2024)
by: Samadi, Amir, et al.
Published: (2024)
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning
by: Khan, Sarwar
Published: (2024)
by: Khan, Sarwar
Published: (2024)
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning
by: Sun, Jiarui, et al.
Published: (2024)
by: Sun, Jiarui, et al.
Published: (2024)
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex
by: Mulrooney, Alex, et al.
Published: (2024)
by: Mulrooney, Alex, et al.
Published: (2024)
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation
by: Chen, Xiaohui, et al.
Published: (2024)
by: Chen, Xiaohui, et al.
Published: (2024)
Deep Positive-Negative Prototypes for Adversarially Robust Discriminative Prototypical Learning
by: Sabzevar, Ramin Zarei, et al.
Published: (2025)
by: Sabzevar, Ramin Zarei, et al.
Published: (2025)
Building Deep Graph Predictors with Graph Imitation Learning
by: Eberhard, André, et al.
Published: (2026)
by: Eberhard, André, et al.
Published: (2026)
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification
by: Sajedi, Ahmad, et al.
Published: (2024)
by: Sajedi, Ahmad, et al.
Published: (2024)
UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations
by: Mühlematter, Dominik J., et al.
Published: (2025)
by: Mühlematter, Dominik J., et al.
Published: (2025)
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
by: Queeney, James, et al.
Published: (2023)
by: Queeney, James, et al.
Published: (2023)
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification
by: Wang, Xu, et al.
Published: (2024)
by: Wang, Xu, et al.
Published: (2024)
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations
by: Addepalli, Sravanti, et al.
Published: (2024)
by: Addepalli, Sravanti, et al.
Published: (2024)
Probabilistic Machine Learning for Noisy Labels in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)
by: Kondylatos, Spyros, et al.
Published: (2025)
Contrastive Adversarial Training for Unsupervised Domain Adaptation
by: Chen, Jiahong, et al.
Published: (2024)
by: Chen, Jiahong, et al.
Published: (2024)
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
by: Yang, Hunmin, et al.
Published: (2024)
by: Yang, Hunmin, et al.
Published: (2024)
ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
by: Jung, Minseop, et al.
Published: (2024)
by: Jung, Minseop, et al.
Published: (2024)
Similar Items
-
Adversarial Imitation Learning from Visual Observations using Latent Information
by: Giammarino, Vittorio, et al.
Published: (2023) -
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees
by: Chen, Yilei, et al.
Published: (2024) -
Beyond Domain Randomization: Event-Inspired Perception for Visually Robust Adversarial Imitation from Videos
by: Ramazzina, Andrea, et al.
Published: (2025) -
DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation
by: Hu, Jiaming, et al.
Published: (2025) -
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations
by: Ozcan, Erhan Can, et al.
Published: (2024)