🎭 Domain Adaptation - emschwartz

Less-relevant results

📊Vector Databases medium.com

Neural Networks & Transfer Learning

🧠LLM Inference blog.stackademic.com

Building Machine Learning Systems That Learn During Inference With Test-Time Adaptation

📦Batch Embeddings medium.com

What Young Sheldon Can Teach You About Machine Learning

⚡Energy Economics Nature·

Reinforcement learning-assisted distributionally robust energy management for multi-microgrid networks

🧭Content Discovery arXiv·

ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning

🐘pgvector biorxiv.org·

Geometric Deep Learning Reveals Ligandable and Cryptic RNA Binding Small Molecule Pockets (SMARTPocket)

📊Embeddings arXiv·

VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation

📰Content Curation ScienceDirect·

Physics-informed Domain Adaptation for Health State Assessment of Industrial Components

✨Gemini arXiv·

Assessing Distribution Shift in Human Activity Recognition for Domain Generalization

📱Edge Computing arXiv·

Domain Adaptation Under Wireless Network Constraints: When Does It Become Green?

📊Embeddings arXiv·

Exploring Dualistic Meta-Learning to Enhance Domain Generalization in Open Set Scenarios

🎯Semantic Tokens arXiv·

One Size does not Fit All: Heterogeneous Latent Space Alignment for Unsupervised Domain Adaptation

🔤Tokenization arXiv·

Temporal-Spectral Alignment with Frequency Adaptation for Source-Free Time-Series Adaptation

🧠LLM Inference arXiv·

Bridging Data Gaps in Structural Fragility Modeling through Transfer Learning: Methodology and Case Studies

📊Embeddings arXiv·

Heterogeneous 2D/1D Signal Representation Fusion for Underwater Acoustic Modulation Recognition Under Distribution Shift

🖥GPUs Nature·

Implementing trust in non-small cell lung cancer diagnosis with a conformalized uncertainty-aware AI framework

Covered by Medical Xpress

🤖Unmanned Systems arXiv·

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN

🤖AI arXiv·

MixedPEFT: Combining Multiple PEFT Methods with Mixed Objectives for Unsupervised Domain Adaptation

How Is Cross-Lingual Transfer Learning Improving Low-Resource Named Entity Recognition?

Neural Networks & Transfer Learning

Building Machine Learning Systems That Learn During Inference With Test-Time Adaptation

What Young Sheldon Can Teach You About Machine Learning

Reinforcement learning-assisted distributionally robust energy management for multi-microgrid networks

ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning

Geometric Deep Learning Reveals Ligandable and Cryptic RNA Binding Small Molecule Pockets (SMARTPocket)

VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation

Physics-informed Domain Adaptation for Health State Assessment of Industrial Components

Assessing Distribution Shift in Human Activity Recognition for Domain Generalization

Domain Adaptation Under Wireless Network Constraints: When Does It Become Green?

Exploring Dualistic Meta-Learning to Enhance Domain Generalization in Open Set Scenarios

One Size does not Fit All: Heterogeneous Latent Space Alignment for Unsupervised Domain Adaptation

Temporal-Spectral Alignment with Frequency Adaptation for Source-Free Time-Series Adaptation

Bridging Data Gaps in Structural Fragility Modeling through Transfer Learning: Methodology and Case Studies

Heterogeneous 2D/1D Signal Representation Fusion for Underwater Acoustic Modulation Recognition Under Distribution Shift

Implementing trust in non-small cell lung cancer diagnosis with a conformalized uncertainty-aware AI framework

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN

DR-Mamba: Automatic Inference-Time Domain Adaptation for Document Image Binarization via Sample-Conditioned Detail-Background Suppression