Cover Image

Beyond Pooling: Matching for Robust Generalization under Data Heterogeneity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Roy, Ayush, Chakraborty, Rudrasis, Varshney, Lav, Lokhande, Vishnu Suresh
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
by: Roy, Ayush, et al.
Published: (2026)

Attending to Routers Aids Indoor Wireless Localization
by: Roy, Ayush, et al.
Published: (2026)

SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures
by: Hartman, Max, et al.
Published: (2025)

FoGE: Fock Space inspired encoding for graph prompting
by: Chytas, Sotirios Panagiotis, et al.
Published: (2025)

Online Reinforcement Learning with Passive Memory
by: Pattanaik, Anay, et al.
Published: (2024)

Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?
by: Roy, Ayush, et al.
Published: (2025)

A Meta-Learning Perspective on Transformers for Causal Language Modeling
by: Wu, Xinbo, et al.
Published: (2023)

Variational Sampling of Temporal Trajectories
by: Nazarovs, Jurijs, et al.
Published: (2024)

Efficient Model-Agnostic Multi-Group Equivariant Networks
by: Baltaji, Razan, et al.
Published: (2023)

Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)

Robust Simulation-Based Inference under Missing Data via Neural Processes
by: Verma, Yogesh, et al.
Published: (2025)

Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators
by: Roy, Samrendra, et al.
Published: (2026)

Unlearning Clients, Features and Samples in Vertical Federated Learning
by: Varshney, Ayush K., et al.
Published: (2025)

Combinatorial Creativity: A New Frontier in Generalization Abilities
by: Schapiro, Samuel, et al.
Published: (2025)

Spark: A System for Scientifically Creative Idea Generation
by: Sanyal, Aishik, et al.
Published: (2025)

Pooling Image Datasets With Multiple Covariate Shift and Imbalance
by: Chytas, Sotirios Panagiotis, et al.
Published: (2024)

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search
by: Ellis-Mohr, Austin R., et al.
Published: (2025)

Explainable AI for Securing Healthcare in IoT-Integrated 6G Wireless Networks
by: Kaur, Navneet, et al.
Published: (2025)

Enhancing Graph Classification Robustness with Singular Pooling
by: Ennadir, Sofiane, et al.
Published: (2025)

Does Order Matter : Connecting The Law of Robustness to Robust Generalization
by: Mandal, Himadri, et al.
Published: (2026)

Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training
by: Varshney, Ayush K., et al.
Published: (2026)

Geometric Median (GM) Matching for Robust Data Pruning
by: Acharya, Anish, et al.
Published: (2024)

A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
by: Wang, Pengyun, et al.
Published: (2024)

Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs
by: Su, Zhixiang, et al.
Published: (2025)

Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity
by: Zhang, Sirui, et al.
Published: (2026)

Timing the Match: A Deep Reinforcement Learning Approach for Ride-Hailing and Ride-Pooling Services
by: Bao, Yiman, et al.
Published: (2025)

A Distributed Generative AI Approach for Heterogeneous Multi-Domain Environments under Data Sharing constraints
by: Tawfilis, Youssef, et al.
Published: (2025)

Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models
by: Ennadir, Sofiane, et al.
Published: (2025)

TopoPrune: Robust Data Pruning via Unified Latent Space Topology
by: Roy, Arjun, et al.
Published: (2026)

Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
by: Fang, Zihan, et al.
Published: (2026)

Un-mixing Test-time Adaptation under Heterogeneous Data Streams
by: Su, Zixian, et al.
Published: (2024)

Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
by: Singhal, Raghav, et al.
Published: (2025)

UniPool: A Globally Shared Expert Pool for Mixture-of-Experts
by: Huang, Minbin, et al.
Published: (2026)

Representation Stability in a Minimal Continual Learning Agent
by: Subramanian, Vishnu
Published: (2026)

Topology-Independent Robustness of the Weighted Mean under Label Poisoning Attacks in Heterogeneous Decentralized Learning
by: Peng, Jie, et al.
Published: (2026)

Generating Universal Adversarial Perturbations for Quantum Classifiers
by: Anil, Gautham, et al.
Published: (2024)

Learning Tennis Strategy Through Curriculum-Based Dueling Double Deep Q-Networks
by: Mohan, Vishnu
Published: (2025)

ASDFormer: A Transformer with Mixtures of Pooling-Classifier Experts for Robust Autism Diagnosis and Biomarker Discovery
by: Izadi, Mohammad, et al.
Published: (2025)

Tractable Sharpness-Aware Learning of Probabilistic Circuits
by: Suresh, Hrithik, et al.
Published: (2025)

Graph Transformers without Positional Encodings
by: Garg, Ayush
Published: (2024)