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Domain Adaptation

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하위 태스크: 13
평가표: 58
보존된 평가 기록: 391

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

A Brief Review of Domain Adaptation

<span style="color:grey; opacity: 0.6">( Image credit: Unsupervised Image-to-Image Translation Networks )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/atuannguyen/kl

공식 코드

KL Guided Domain Adaptation

https://github.com/atutej/RARe

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RARe: Retrieval Augmented Retrieval with In-Context Examples

https://github.com/auniquesun/point-prc

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Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis

https://github.com/automan000/Camera-based-Person-ReID

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Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization

https://github.com/av9ash/English-Please

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English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports

https://github.com/avaapm/SGADA

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Self-training Guided Adversarial Domain Adaptation For Thermal Imagery

https://github.com/avaapm/stgada

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Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery

https://github.com/avakanski/Evaluation-of-Complexity-Measures-for-Deep-Learning-Generalization-in-Medical-Image-Analysis

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Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis

https://github.com/aws-samples/d-SNE

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$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding

https://github.com/awslabs/mlm-scoring

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Masked Language Model Scoring

https://github.com/awslabs/rag-qa-arena

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RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering

https://github.com/awslabs/sockeye

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Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation

https://github.com/ayeshaenayet/mfeemb

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Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings

https://github.com/ayoubhammal/ckss4ner

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Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection

https://github.com/azuma164/zodi

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ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer

https://github.com/b-faye/prior-knowledge-norm

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Enhancing Neural Network Representations with Prior Knowledge-Based Normalization

https://github.com/b-faye/unsupervised-context-normalization

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Unsupervised Adaptive Normalization

https://github.com/babangain/unsup_questions_translation

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Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards

https://github.com/backpropagator/langdaug

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LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation

https://github.com/baidu/DuReader

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DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine

https://github.com/baishuanghao/prompt-based-distribution-alignment

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Prompt-based Distribution Alignment for Unsupervised Domain Adaptation

https://github.com/baithebest/drain

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Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks

https://github.com/baowenxuan/atp

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Adaptive Test-Time Personalization for Federated Learning

https://github.com/barcaaaa/ftd-plusplus

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Fusion-then-Distillation: Toward Cross-modal Positive Distillation for Domain Adaptive 3D Semantic Segmentation

https://github.com/barisgecer/facegan

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Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

https://github.com/bartn8/vppdc

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Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization

https://github.com/basiralab/L2S-KDnet

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Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning

https://github.com/batmanlab/ha-gan

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Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN

https://github.com/bbbbbbzhou/APA2Seg-Net

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Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration

https://github.com/bdd100k/bdd100k

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BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

https://github.com/bdlab405/sdalr

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Source-free domain adaptation based on label reliability for cross-domain bearing fault diagnosis

https://github.com/beepkh/supmer

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Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization

https://github.com/beierzhu/prompt-align

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Prompt-aligned Gradient for Prompt Tuning

https://github.com/benathi/fastswa-semi-sup

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There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average

https://github.com/benedettaliberatori/t3al

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Test-Time Zero-Shot Temporal Action Localization

https://github.com/benjaminmlucas/sourcerer

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A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping

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