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Diversity
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Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/decile-team/distil
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
https://github.com/deepak-netizen/melanoma-detection
https://github.com/deepfake-study/guided-diffusion
https://github.com/deezer/MultilingualMusicGenreEmbedding
Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation
https://github.com/demul/auto_colorization_project/tree/master/colorful_image_colorization
https://github.com/dengyang17/wikihowQA
https://github.com/derekgreene/topic-stability
https://github.com/desire2020/CoT
CoT: Cooperative Training for Generative Modeling of Discrete Data
https://github.com/dewenzeng/clsp
https://github.com/dhlab-epfl/dhSegment-torch
dhSegment: A generic deep-learning approach for document segmentation
https://github.com/dietmarwo/fast-cma-es
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space
https://github.com/dig-team/hanna-benchmark-asg
https://github.com/digital-history-bonn/chronicling-germany-code
dhSegment: A generic deep-learning approach for document segmentation
https://github.com/diversepsro/diverse_psro
Modelling Behavioural Diversity for Learning in Open-Ended Games
https://github.com/djflstkddk/Auto-Colorization
https://github.com/dkn16/few-shot-gan-adaptation
https://github.com/dome272/wuerstchen
A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces
https://github.com/dr-costas/clotho-baseline-dataset
https://github.com/drboog/Shifted_Diffusion
Hierarchical Text-Conditional Image Generation with CLIP Latents
https://github.com/dreasysnail/converse_GAN
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
https://github.com/ds3lab/control-generate-augment
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
https://github.com/dsba-lab/openal
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
https://github.com/dual-grp/pFedMe
https://github.com/dunzeng/more
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
https://github.com/duojun-huang/diana-cvpr2023
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
https://github.com/duxiaoman-di/xuanyuan
Self-QA: Unsupervised Knowledge Guided Language Model Alignment
https://github.com/dvornikita/fewshot_ensemble
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification
https://github.com/dykang/biassum
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
https://github.com/dynamite321/codeguardplus
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions
https://github.com/dzq84/MusicScore-script
https://github.com/eceo-epfl/scaleprotoseg
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
https://github.com/efeslab/Nanoflow
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
https://github.com/egilron/afrisenti-semeval-2023
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
https://github.com/egiob/diversityisallyouneed-sb3
Diversity is All You Need: Learning Skills without a Reward Function
https://github.com/elodiegermani/style-transfer_diffusion
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