Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Ballas, Aristotelis, Diou, Christos |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
by: Ballas, Aristotelis, et al.
Published: (2023)
by: Ballas, Aristotelis, et al.
Published: (2023)
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data
by: Ballas, Aristotelis, et al.
Published: (2024)
by: Ballas, Aristotelis, et al.
Published: (2024)
Gradient-Guided Annealing for Domain Generalization
by: Ballas, Aristotelis, et al.
Published: (2025)
by: Ballas, Aristotelis, et al.
Published: (2025)
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
by: Ballas, Aristotelis, et al.
Published: (2023)
by: Ballas, Aristotelis, et al.
Published: (2023)
Value Gradient Guidance for Flow Matching Alignment
by: Liu, Zhen, et al.
Published: (2025)
by: Liu, Zhen, et al.
Published: (2025)
Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
by: Hoang, Dung Anh, et al.
Published: (2026)
by: Hoang, Dung Anh, et al.
Published: (2026)
Spectral Gradient Surgery for Domain-Generalizable Dataset Distillation
by: Oh, Minyoung, et al.
Published: (2026)
by: Oh, Minyoung, et al.
Published: (2026)
Gradient Descent as a Shrinkage Operator for Spectral Bias
by: Lucey, Simon
Published: (2025)
by: Lucey, Simon
Published: (2025)
Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning
by: Dong, Linwei, et al.
Published: (2026)
by: Dong, Linwei, et al.
Published: (2026)
Enhancing Domain Adaptation through Prompt Gradient Alignment
by: Phan, Hoang, et al.
Published: (2024)
by: Phan, Hoang, et al.
Published: (2024)
Gradient-Regularized Out-of-Distribution Detection
by: Sharifi, Sina, et al.
Published: (2024)
by: Sharifi, Sina, et al.
Published: (2024)
Gradient Similarity Surgery in Multi-Task Deep Learning
by: Borsani, Thomas, et al.
Published: (2025)
by: Borsani, Thomas, et al.
Published: (2025)
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
by: Sarridis, Ioannis, et al.
Published: (2023)
by: Sarridis, Ioannis, et al.
Published: (2023)
Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations
by: Shi, Kexuan, et al.
Published: (2024)
by: Shi, Kexuan, et al.
Published: (2024)
STAG: Structural Test-time Alignment of Gradients for Online Adaptation
by: Shin, Juhyeon, et al.
Published: (2024)
by: Shin, Juhyeon, et al.
Published: (2024)
Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
by: Nowdeh, Hossein R., et al.
Published: (2025)
by: Nowdeh, Hossein R., et al.
Published: (2025)
MGVQ: Synergizing Multi-dimensional Sensitivity-Aware and Gradient-Hessian Fusion for Vector Quantization
by: Wang, Zhong, et al.
Published: (2026)
by: Wang, Zhong, et al.
Published: (2026)
GNSP: Gradient Null Space Projection for Preserving Cross-Modal Alignment in VLMs Continual Learning
by: Peng, Tiantian, et al.
Published: (2025)
by: Peng, Tiantian, et al.
Published: (2025)
Improving Multimodal Learning with Multi-Loss Gradient Modulation
by: Kontras, Konstantinos, et al.
Published: (2024)
by: Kontras, Konstantinos, et al.
Published: (2024)
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
by: Srinivas, Suraj, et al.
Published: (2023)
by: Srinivas, Suraj, et al.
Published: (2023)
Gradient-Guided Exploration of Generative Model's Latent Space for Controlled Iris Image Augmentations
by: Mitcheff, Mahsa, et al.
Published: (2025)
by: Mitcheff, Mahsa, et al.
Published: (2025)
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
by: Liu, Zhen, et al.
Published: (2024)
by: Liu, Zhen, et al.
Published: (2024)
Gradient Extrapolation for Debiased Representation Learning
by: Asaad, Ihab, et al.
Published: (2025)
by: Asaad, Ihab, et al.
Published: (2025)
A Learning Paradigm for Interpretable Gradients
by: Figueroa, Felipe Torres, et al.
Published: (2024)
by: Figueroa, Felipe Torres, et al.
Published: (2024)
On Spectral Properties of Gradient-based Explanation Methods
by: Mehrpanah, Amir, et al.
Published: (2025)
by: Mehrpanah, Amir, et al.
Published: (2025)
GO4Align: Group Optimization for Multi-Task Alignment
by: Shen, Jiayi, et al.
Published: (2024)
by: Shen, Jiayi, et al.
Published: (2024)
Learning to Predict Gradients for Semi-Supervised Continual Learning
by: Luo, Yan, et al.
Published: (2022)
by: Luo, Yan, et al.
Published: (2022)
Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying
by: Xue, Youze, et al.
Published: (2025)
by: Xue, Youze, et al.
Published: (2025)
On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation
by: Yang, Suorong, et al.
Published: (2025)
by: Yang, Suorong, et al.
Published: (2025)
Learning Robust Intervention Representations with Delta Embeddings
by: Alimisis, Panagiotis, et al.
Published: (2025)
by: Alimisis, Panagiotis, et al.
Published: (2025)
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
by: Gu, Jiawei, et al.
Published: (2025)
by: Gu, Jiawei, et al.
Published: (2025)
Gradients Stand-in for Defending Deep Leakage in Federated Learning
by: Yi, H., et al.
Published: (2024)
by: Yi, H., et al.
Published: (2024)
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
by: Banerjee, Soumya, et al.
Published: (2023)
by: Banerjee, Soumya, et al.
Published: (2023)
Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
by: Fan, Heng-Bo, et al.
Published: (2024)
by: Fan, Heng-Bo, et al.
Published: (2024)
Video Diffusion Alignment via Reward Gradients
by: Prabhudesai, Mihir, et al.
Published: (2024)
by: Prabhudesai, Mihir, et al.
Published: (2024)
Gradient-Free Noise Optimization for Reward Alignment in Generative Models
by: Kim, Jeongsol, et al.
Published: (2026)
by: Kim, Jeongsol, et al.
Published: (2026)
GCond: Gradient Conflict Resolution via Accumulation-based Stabilization for Large-Scale Multi-Task Learning
by: Limarenko, Evgeny Alves, et al.
Published: (2025)
by: Limarenko, Evgeny Alves, et al.
Published: (2025)
Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling
by: Niu, Zenghao, et al.
Published: (2025)
by: Niu, Zenghao, et al.
Published: (2025)
KeepLoRA: Continual Learning with Residual Gradient Adaptation
by: Luo, Mao-Lin, et al.
Published: (2026)
by: Luo, Mao-Lin, et al.
Published: (2026)
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation
by: Lin, Fengming, et al.
Published: (2024)
by: Lin, Fengming, et al.
Published: (2024)
Similar Items
-
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
by: Ballas, Aristotelis, et al.
Published: (2023) -
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data
by: Ballas, Aristotelis, et al.
Published: (2024) -
Gradient-Guided Annealing for Domain Generalization
by: Ballas, Aristotelis, et al.
Published: (2025) -
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
by: Ballas, Aristotelis, et al.
Published: (2023) -
Value Gradient Guidance for Flow Matching Alignment
by: Liu, Zhen, et al.
Published: (2025)