Domain Generalization In Robust Invariant Representation
Fuente:
arXiv
Saved in:
| Main Authors: | Gupta, Gauri, Kapila, Ritvik, Gupta, Keshav, Raskar, Ramesh |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
by: Singh, Abhishek, et al.
Published: (2024)
by: Singh, Abhishek, et al.
Published: (2024)
First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions -- A study using agent based modeling
by: Gupta, Gauri, et al.
Published: (2024)
by: Gupta, Gauri, et al.
Published: (2024)
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
by: Jin, Gaojie, et al.
Published: (2024)
by: Jin, Gaojie, et al.
Published: (2024)
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
by: Yang, Dongyoon, et al.
Published: (2025)
by: Yang, Dongyoon, et al.
Published: (2025)
Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
Does Order Matter : Connecting The Law of Robustness to Robust Generalization
by: Mandal, Himadri, et al.
Published: (2026)
by: Mandal, Himadri, et al.
Published: (2026)
Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
by: Gupta, Rajeev, et al.
Published: (2025)
by: Gupta, Rajeev, et al.
Published: (2025)
Learning Distinguishable Representations in Deep Q-Networks for Linear Transfer
by: Sathish, Sooraj, et al.
Published: (2025)
by: Sathish, Sooraj, et al.
Published: (2025)
Bootstrapped Mixed Rewards for RL Post-Training: Injecting Canonical Action Order
by: Gupta, Prakhar, et al.
Published: (2025)
by: Gupta, Prakhar, et al.
Published: (2025)
ProxRouter: Proximity-Weighted LLM Query Routing for Improved Robustness to Outliers
by: Patel, Shivam, et al.
Published: (2025)
by: Patel, Shivam, et al.
Published: (2025)
Using Machine Learning to Discover Parsimonious and Physically-Interpretable Representations of Catchment-Scale Rainfall-Runoff Dynamics
by: Wang, Yuan-Heng, et al.
Published: (2024)
by: Wang, Yuan-Heng, et al.
Published: (2024)
A Proposed Paradigm for Imputing Missing Multi-Sensor Data in the Healthcare Domain
by: Gupta, Vaibhav, et al.
Published: (2026)
by: Gupta, Vaibhav, et al.
Published: (2026)
MIDG: Mixture of Invariant Experts with knowledge injection for Domain Generalization in Multimodal Sentiment Analysis
by: Li, Yangle, et al.
Published: (2025)
by: Li, Yangle, et al.
Published: (2025)
Uncovering the Latent Potential of Deep Intermediate Representations
by: Batra, Arnesh, et al.
Published: (2026)
by: Batra, Arnesh, et al.
Published: (2026)
Federated Learning Framework via Distributed Mutual Learning
by: Gupta, Yash
Published: (2025)
by: Gupta, Yash
Published: (2025)
Cardinality-Preserving Attention Channels for Graph Transformers in Molecular Property Prediction
by: Gupta, Abhijit
Published: (2026)
by: Gupta, Abhijit
Published: (2026)
Causal Neighbourhood Learning for Invariant Graph Representations
by: Job, Simi, et al.
Published: (2026)
by: Job, Simi, et al.
Published: (2026)
Learning Repetition-Invariant Representations for Polymer Informatics
by: Zhu, Yihan, et al.
Published: (2025)
by: Zhu, Yihan, et al.
Published: (2025)
HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection
by: Gupta, Shubham, et al.
Published: (2026)
by: Gupta, Shubham, et al.
Published: (2026)
Humanoid-inspired Causal Representation Learning for Domain Generalization
by: Tao, Ze, et al.
Published: (2025)
by: Tao, Ze, et al.
Published: (2025)
Unsupervised Representation Learning - an Invariant Risk Minimization Perspective
by: Norman, Yotam, et al.
Published: (2025)
by: Norman, Yotam, et al.
Published: (2025)
Learning Robust Spectral Dynamics for Temporal Domain Generalization
by: Yu, En, et al.
Published: (2025)
by: Yu, En, et al.
Published: (2025)
Multi-Knowledge Fusion Network for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Abduction-Deduction Entanglement: Domain Generalization via Representation Transplants
by: Jalaldoust, Kasra, et al.
Published: (2026)
by: Jalaldoust, Kasra, et al.
Published: (2026)
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
by: Azzolin, Steve, et al.
Published: (2024)
by: Azzolin, Steve, et al.
Published: (2024)
FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning
by: Wang, Xinpeng, et al.
Published: (2024)
by: Wang, Xinpeng, et al.
Published: (2024)
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
An Investigation of Visual Foundation Models Robustness
by: Gupta, Sandeep, et al.
Published: (2025)
by: Gupta, Sandeep, et al.
Published: (2025)
Federated Domain Generalization with Latent Space Inversion
by: Palakkadavath, Ragja, et al.
Published: (2025)
by: Palakkadavath, Ragja, et al.
Published: (2025)
Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)
by: Van, Linh Le Pham, et al.
Published: (2025)
Understanding Adversarial Transfer: Why Representation-Space Attacks Fail Where Data-Space Attacks Succeed
by: Gupta, Isha, et al.
Published: (2025)
by: Gupta, Isha, et al.
Published: (2025)
Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning
by: Jali, Neharika, et al.
Published: (2026)
by: Jali, Neharika, et al.
Published: (2026)
LOCUS: Low-Dimensional Model Embeddings for Efficient Model Exploration, Comparison, and Selection
by: Patel, Shivam, et al.
Published: (2026)
by: Patel, Shivam, et al.
Published: (2026)
MELINOE: Fine-Tuning Enables Memory-Efficient Inference for Mixture-of-Experts Models
by: Raje, Arian, et al.
Published: (2026)
by: Raje, Arian, et al.
Published: (2026)
The Illusion of Specialization: Unveiling the Domain-Invariant "Standing Committee" in Mixture-of-Experts Models
by: Wang, Yan, et al.
Published: (2026)
by: Wang, Yan, et al.
Published: (2026)
Understanding the Countably Infinite: Neural Network Models of the Successor Function and its Acquisition
by: Gupta, Vima, et al.
Published: (2023)
by: Gupta, Vima, et al.
Published: (2023)
Explainable AI for Securing Healthcare in IoT-Integrated 6G Wireless Networks
by: Kaur, Navneet, et al.
Published: (2025)
by: Kaur, Navneet, et al.
Published: (2025)
Scaling Laws and In-Context Learning: A Unified Theoretical Framework
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
Hierarchical Sparse Plus Low Rank Compression of LLM
by: Kumar, Pawan, et al.
Published: (2025)
by: Kumar, Pawan, et al.
Published: (2025)
A Training Data Recipe to Accelerate A* Search with Language Models
by: Gupta, Devaansh, et al.
Published: (2024)
by: Gupta, Devaansh, et al.
Published: (2024)
Similar Items
-
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
by: Singh, Abhishek, et al.
Published: (2024) -
First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions -- A study using agent based modeling
by: Gupta, Gauri, et al.
Published: (2024) -
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
by: Jin, Gaojie, et al.
Published: (2024) -
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
by: Yang, Dongyoon, et al.
Published: (2025) -
Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
by: Liu, Rui, et al.
Published: (2025)