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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/nebneuron/ctln-basic-2.0

공식 코드

Diversity of emergent dynamics in competitive threshold-linear networks

https://github.com/nec-n-sogi/msdpp

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MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval

https://github.com/neeharperi/PreferenceNet

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PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning

https://github.com/neel-dey/anatomix

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Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis

https://github.com/neelmishra/gauss-newton-based-minimax-solver

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A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks

https://github.com/nefeltellioglu/multistrain

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Modelling the effect of within-host dynamics on the diversity of a multi-strain pathogen

https://github.com/negarhdr/diversified-facial-expression-recognition

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Learning Diversified Feature Representations for Facial Expression Recognition in the Wild

https://github.com/nemesis1303/gfedntm

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Federated Neural Topic Models

https://github.com/nerminsamet/seedal

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You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation

https://github.com/nesl/nlp_adversarial_examples

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Generating Natural Language Adversarial Examples

https://github.com/netease-youdao/cmlm_da

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Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model

https://github.com/netflix-skunkworks/listening-test-app

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ODAQ: Open Dataset of Audio Quality

https://github.com/neuhai/explanation-enriched-active-learning

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Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture

https://github.com/neuir/hippo

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HIPPO: Enhancing the Table Understanding Capability of Large Language Models through Hybrid-Modal Preference Optimization

https://github.com/neulab/prompt2model

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Better Synthetic Data by Retrieving and Transforming Existing Datasets

https://github.com/neurai-lab/birt

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BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning

https://github.com/neuraldl/dlatypicalserotoninergiccells

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Deep Learning Models for Atypical Serotonergic Cells Recognition

https://github.com/neurallatents/nlb_tools

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Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity

https://github.com/neurowave-ai/cucvae-tts

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Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech

https://github.com/newbeeer/diffusion_restart_sampling

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Restart Sampling for Improving Generative Processes

https://github.com/nfurnon/disco

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Distributed speech separation in spatially unconstrained microphone arrays

https://github.com/nguyen-dv/ViMD_Dataset

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Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges

https://github.com/nguyentthong/Paper-VLP

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Vision-and-Language Pretraining

https://github.com/nhw649/scsd

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Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation

https://github.com/nic5472k/scientificdata2021_healthgym

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Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV

https://github.com/nicolas-dufour/SCAM

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SCAM! Transferring humans between images with Semantic Cross Attention Modulation

https://github.com/nicolinho/qrm

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Quantile Regression for Distributional Reward Models in RLHF

https://github.com/nidryen-zh/questionerawareresponder

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Personalized LLM for Generating Customized Responses to the Same Query from Different Users

https://github.com/nie-lang/deeprectangling

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Deep Rectangling for Image Stitching: A Learning Baseline

https://github.com/niejiahao1998/csl

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Color Space Learning for Cross-Color Person Re-Identification

https://github.com/niejiahao1998/mmrel

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MMRel: A Relation Understanding Benchmark in the MLLM Era

https://github.com/nighttime/entgraph

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Smoothing Entailment Graphs with Language Models

https://github.com/nikolajreiser/poissonphasediversity

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Phase Diverse Phase Retrieval for Microscopy: Comparison of Gaussian and Poisson Approaches

https://github.com/nikolasvellnow/selection_multiallelic

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A comprehensive representation of selection at loci with multiple alleles that allows complex forms of genotypic fitness

https://github.com/nil-zhuang/ld4pg

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Improved Paraphrase Generation via Controllable Latent Diffusion

https://github.com/ningyuxu/cl-syntactic-difference-mbert

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Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?

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