🎭 Domain Adaptation - emschwartz

RAPID: A Reproducible Multi-Agent Pipeline for Interpretable Disaster Damage Assessment from Satellite and Street-View Imagery

🧠LLM Inference arXiv·

Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation

🔥Burn arXiv·

Transfer learning-based method for automated ewaste recycling in smart cities

Less-relevant results

📇Vector Indexing arXiv·

Invariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shifts

🛡️AI Security arXiv·

Robustness Cannot be Reduced to Regularization: Studying Adversarial Training Beyond the Linear Case

🤖AI arXiv·

A Unified Framework for Efficient Remote Sensing Visual Question Answering: Adapting Dual, Hybrid, and Encoder-Decoder Architectures

🤖AI arXiv·

Performance and Interpretability of Convolutional, Transformer, and Hybrid Deep Learning Models in Colorectal Histology Classification

🛡️AI Safety arXiv·

Perturbation-Based Uncertainty for Failure Detection in Vision-Language-Action Models

⭐Content Scoring arXiv·

When AUC Misleads: Polarization-Aware Evaluation of Deepfake Detectors under Domain Shift

🔍AI Interpretability arXiv·

Inductive Generalization for Robotic Manipulation

📊Embeddings arXiv·

Low-resource Language Discrimination Towards Chinese Dialects with Transfer learning and Data Augmentation

🎯Qdrant arXiv·

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

📊Embeddings arXiv·

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings

📊Embeddings arXiv·

$\mu$Match: Foundation Models for Semi-supervised Learning and Domain Adaptation in EM

🛡️AI Safety arXiv·

Cohort-Anchored Foundation Models for Electronic Health Records: From Risk Scores to Auditable Peer Cohorts

🛡️AI Security arXiv·

Veriphi: Attack-Guided Neural Network Verification with Dataset-Dependent Training Methods

💾Binary Formats arXiv·

Reliability-Guided Adaptive Ensembling for Robust Test-Time Adaptation

🤖AI arXiv·

Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications

🔗Hybrid Search arXiv·

Toward Parking Spot Occupancy Recognition: A Self-Supervised Approach

RAPID: A Reproducible Multi-Agent Pipeline for Interpretable Disaster Damage Assessment from Satellite and Street-View Imagery

Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation

Transfer learning-based method for automated ewaste recycling in smart cities

Invariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shifts

Robustness Cannot be Reduced to Regularization: Studying Adversarial Training Beyond the Linear Case

A Unified Framework for Efficient Remote Sensing Visual Question Answering: Adapting Dual, Hybrid, and Encoder-Decoder Architectures

Performance and Interpretability of Convolutional, Transformer, and Hybrid Deep Learning Models in Colorectal Histology Classification

Perturbation-Based Uncertainty for Failure Detection in Vision-Language-Action Models

When AUC Misleads: Polarization-Aware Evaluation of Deepfake Detectors under Domain Shift

Inductive Generalization for Robotic Manipulation

Low-resource Language Discrimination Towards Chinese Dialects with Transfer learning and Data Augmentation

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings

$\mu$Match: Foundation Models for Semi-supervised Learning and Domain Adaptation in EM

Cohort-Anchored Foundation Models for Electronic Health Records: From Risk Scores to Auditable Peer Cohorts

Veriphi: Attack-Guided Neural Network Verification with Dataset-Dependent Training Methods

Reliability-Guided Adaptive Ensembling for Robust Test-Time Adaptation

Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications

Retrieval-Augmented Multimodal Learning for Enzyme-Substrate Interaction Prediction Under Low-Homology Shift