conftrace_
← Application Areas
Machine Learning › Application Areas ›

Domain Adaptation

8,656 papers

Papers per year

Papers

Enhancing Domain Adaptation through Prompt Gradient Alignment NIPS 2024
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins NIPS 2024
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation NIPS 2024
Reinforced Cross-Domain Knowledge Distillation on Time Series Data NIPS 2024
WATT: Weight Average Test Time Adaptation of CLIP NIPS 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks NIPS 2024
Nuclear Fusion Diamond Polishing Dataset NIPS 2024
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework NIPS 2024
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering NIPS 2024
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography NIPS 2024
SpeechAlign: Aligning Speech Generation to Human Preferences NIPS 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning NIPS 2024
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels NIPS 2024
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models NIPS 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NIPS 2024
Empowering and Assessing the Utility of Large Language Models in Crop Science NIPS 2024
Instruction Tuning Large Language Models to Understand Electronic Health Records NIPS 2024
When does perceptual alignment benefit vision representations? NIPS 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NIPS 2024
Precipitation Downscaling with Spatiotemporal Video Diffusion NIPS 2024
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection NIPS 2024
Mixture of neural fields for heterogeneous reconstruction in cryo-EM NIPS 2024
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining NIPS 2024
Learning De-Biased Representations for Remote-Sensing Imagery NIPS 2024
Towards Unsupervised Model Selection for Domain Adaptive Object Detection NIPS 2024