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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/ufal/augpt

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AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models

https://github.com/uhh-lt/kaldi-tuda-de

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Open Source Automatic Speech Recognition for German

https://github.com/uirlx/dialogueagents

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DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue

https://github.com/ukplab/argument-topic-diversity

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Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets

https://github.com/ukplab/catfood

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CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration

https://github.com/ukplab/dior-cvae

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Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation

https://github.com/umair-nasir14/llmatic

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LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization

https://github.com/umdatasciencelab/uncertainty-quantification-for-llms

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Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models

https://github.com/umeannever/b2ner

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Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition

https://github.com/umeannever/novelsum

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Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric

https://github.com/unibester/age

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Attribute Group Editing for Reliable Few-shot Image Generation

https://github.com/usc-cssl/adaptable-problematic-content-detection

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Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning

https://github.com/usc-fortis/ad-agent

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AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

https://github.com/usccolumbia/paretocsp2

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Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control

https://github.com/uscnlp-lime/safer-instruct

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Safer-Instruct: Aligning Language Models with Automated Preference Data

https://github.com/uvm-plaid/private_llm_generation

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Differentially Private Learning Needs Better Model Initialization and Self-Distillation

https://github.com/val-iisc/3d-lmnet

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3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image

https://github.com/val-iisc/NoisyTwins

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NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs

https://github.com/valentinslepukhin/self-organised-seclusion

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Barrier-Free Microhabitats: Self-Organized Seclusion in Microbial Communities

https://github.com/vance0124/token-level-direct-preference-optimization

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Token-level Direct Preference Optimization

https://github.com/vanderschaarlab/evaluating-generative-models

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How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models

https://github.com/varinf/TransformersDataAugmentation

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Data Augmentation using Pre-trained Transformer Models

https://github.com/vbdi/divprune

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DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models

https://github.com/vcllab/csca

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Spatio-channel Attention Blocks for Cross-modal Crowd Counting

https://github.com/vectara/faithbench

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FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs

https://github.com/vertaix/quality-weighted-vendi-score

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Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design

https://github.com/vertaix/vendi-sampling

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Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning

https://github.com/vertaix/vendi-score

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The Vendi Score: A Diversity Evaluation Metric for Machine Learning

https://github.com/vfcosta/clip-gan-es

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Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies

https://github.com/vfcosta/qd-coegan

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Exploring the Evolution of GANs through Quality Diversity

https://github.com/vicgalle/zero-shot-reward-models

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ZYN: Zero-Shot Reward Models with Yes-No Questions for RLAIF

https://github.com/vicinity111/dce-rd

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Rumor Detection with Diverse Counterfactual Evidence

https://github.com/victorletzelter/annealed_mcl

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Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing

https://github.com/victorletzelter/code-rmcl

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Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis

https://github.com/vidalt/HGS-SSP

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A simple and effective hybrid genetic search for the job sequencing and tool switching problem

https://github.com/videturfortuna/vehicle_reid_itsc2023

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Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification

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