Copertina

Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jiang, Enyi, Zhang, Yibo Jacky, Koyejo, Sanmi
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency
di: Zhang, Yibo Jacky, et al.
Pubblicazione: (2026)

Latent Adversarial Regularization for Offline Preference Optimization
di: Jiang, Enyi, et al.
Pubblicazione: (2026)

A Framework for Objective-Driven Dynamical Stochastic Fields
di: Zhang, Yibo Jacky, et al.
Pubblicazione: (2025)

Causally Inspired Regularization Enables Domain General Representations
di: Salaudeen, Olawale, et al.
Pubblicazione: (2024)

Aligning Compound AI Systems via System-level DPO
di: Wang, Xiangwen, et al.
Pubblicazione: (2025)

Proxy Methods for Domain Adaptation
di: Tsai, Katherine, et al.
Pubblicazione: (2024)

Let's Measure Information Step-by-Step: AI-Based Evaluation Beyond Vibes
di: Robertson, Zachary, et al.
Pubblicazione: (2025)

Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?
di: Salaudeen, Olawale, et al.
Pubblicazione: (2025)

Invariant Aggregator for Defending against Federated Backdoor Attacks
di: Wang, Xiaoyang, et al.
Pubblicazione: (2022)

Optimization and Generalization Guarantees for Weight Normalization
di: Cisneros-Velarde, Pedro, et al.
Pubblicazione: (2024)

Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings
di: Peetathawatchai, Pura, et al.
Pubblicazione: (2024)

In-Context Learning of Energy Functions
di: Schaeffer, Rylan, et al.
Pubblicazione: (2024)

Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains
di: Stromberg, Nathan, et al.
Pubblicazione: (2024)

Discovering Implicit Large Language Model Alignment Objectives
di: Chen, Edward, et al.
Pubblicazione: (2026)

Distributional Machine Unlearning via Selective Data Removal
di: Allouah, Youssef, et al.
Pubblicazione: (2025)

Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading
di: Stromberg, Nathan, et al.
Pubblicazione: (2024)

On Fairness of Low-Rank Adaptation of Large Models
di: Ding, Zhoujie, et al.
Pubblicazione: (2024)

High-Dimensional Markov-switching Ordinary Differential Processes
di: Tsai, Katherine, et al.
Pubblicazione: (2024)

Pretraining Scaling Laws for Generative Evaluations of Language Models
di: Schaeffer, Rylan, et al.
Pubblicazione: (2025)

Reasoning Models Don't Just Think Longer, They Move Differently
di: Gjølbye, Anders, et al.
Pubblicazione: (2026)

HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
di: Zhu, Junzhe, et al.
Pubblicazione: (2023)

Why Do Safety Guardrails Degrade Across Languages?
di: Zhang, Max, et al.
Pubblicazione: (2026)

Adaptive Compression in Federated Learning via Side Information
di: Isik, Berivan, et al.
Pubblicazione: (2023)

RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness
di: Jiang, Enyi, et al.
Pubblicazione: (2024)

AutoAdapt: An Automated Domain Adaptation Framework for LLMs
di: Sinha, Sidharth, et al.
Pubblicazione: (2026)

The Utility and Complexity of in- and out-of-Distribution Machine Unlearning
di: Allouah, Youssef, et al.
Pubblicazione: (2024)

Logits are All We Need to Adapt Closed Models
di: Hiranandani, Gaurush, et al.
Pubblicazione: (2025)

Environment-Adaptive Preference Optimization for Wildfire Prediction
di: Jiang, Enyi, et al.
Pubblicazione: (2026)

Lean-ing on Quality: How High-Quality Data Beats Diverse Multilingual Data in AutoFormalization
di: Chan, Willy, et al.
Pubblicazione: (2025)

Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
di: Mori, Junki, et al.
Pubblicazione: (2024)

Certified Unlearning for Neural Networks
di: Koloskova, Anastasia, et al.
Pubblicazione: (2025)

Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds
di: Chen, Edward, et al.
Pubblicazione: (2025)

Position: Model Collapse Does Not Mean What You Think
di: Schaeffer, Rylan, et al.
Pubblicazione: (2025)

Extracting books from production language models
di: Ahmed, Ahmed, et al.
Pubblicazione: (2026)

PEANuT: Parameter-Efficient Adaptation with Weight-aware Neural Tweakers
di: Zhong, Yibo, et al.
Pubblicazione: (2024)

Towards Generalized Certified Robustness with Multi-Norm Training
di: Jiang, Enyi, et al.
Pubblicazione: (2024)

Task Weighting through Gradient Projection for Multitask Learning
di: Bohn, Christian, et al.
Pubblicazione: (2024)

Understanding Adversarial Transfer: Why Representation-Space Attacks Fail Where Data-Space Attacks Succeed
di: Gupta, Isha, et al.
Pubblicazione: (2025)

Scalable Ensembling For Mitigating Reward Overoptimisation
di: Ahmed, Ahmed M., et al.
Pubblicazione: (2024)

Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks
di: Alcover-Couso, Roberto, et al.
Pubblicazione: (2024)