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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/hjdw2/sembg

공식 코드

Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution

https://github.com/hjvm/benchmarking_acquisition

공식 코드

Evaluating Neural Language Models as Cognitive Models of Language Acquisition

https://github.com/hkuds/reclm

공식 코드

RecLM: Recommendation Instruction Tuning

https://github.com/hkust-knowcomp/candle

공식 코드

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning

https://github.com/hkust-longgroup/cfa

공식 코드

Compositional Feature Augmentation for Unbiased Scene Graph Generation

https://github.com/hkust-nlp/universal_truthfulness_hyperplane

공식 코드

On the Universal Truthfulness Hyperplane Inside LLMs

https://github.com/hkyoon95/mqg

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Diversity Enhanced Narrative Question Generation for Storybooks

https://github.com/hlings/acrofod

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AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection

https://github.com/hliulab/tcrlm

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tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificity

https://github.com/hlz0606/dh-aug-dh-forward-kinematics-model-driven-augmentation-for-3d-human-pose-estimation

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DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation

https://github.com/hmehrafarin/data-size-analysis

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On the Importance of Data Size in Probing Fine-tuned Models

https://github.com/hnghiem-usc/define_your_terms

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"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition

https://github.com/holarissun/npsco

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Novel Policy Seeking with Constrained Optimization

https://github.com/homzer/MCC-KD

공식 코드

MCC-KD: Multi-CoT Consistent Knowledge Distillation

https://github.com/hongchenphd/MHSA-Net

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MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification

https://github.com/hongfz16/EVA3D

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EVA3D: Compositional 3D Human Generation from 2D Image Collections

https://github.com/honghd16/gsa-vln

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General Scene Adaptation for Vision-and-Language Navigation

https://github.com/honghuibao2000/letter

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Learnable Item Tokenization for Generative Recommendation

https://github.com/hongxin001/JoCoR

공식 코드

Combating noisy labels by agreement: A joint training method with co-regularization

https://github.com/hoolagans/stackgp

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Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression

https://github.com/hoper-j/contrastive-disentangling

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Fine-Grained Representation Learning via Multi-Level Contrastive Learning without Class Priors

https://github.com/houliangict/adcgan

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Conditional GANs with Auxiliary Discriminative Classifier

https://github.com/house-leo/rwsr-edl

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Real-World Image Super-Resolution by Exclusionary Dual-Learning

https://github.com/howardli0816/dual-fusion-diffusion

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Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement

https://github.com/howiehwong/unigen

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UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models

https://github.com/hozumiyu/KmerTopology

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Revealing the Shape of Genome Space via K-mer Topology

https://github.com/hpzhang94/diffusum

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DiffuSum: Generation Enhanced Extractive Summarization with Diffusion

https://github.com/hq-deng/RD4AD

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Anomaly Detection via Reverse Distillation from One-Class Embedding

https://github.com/hqsiswiliam/SPT

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Selective Prompting Tuning for Personalized Conversations with LLMs

https://github.com/hritikbansal/entigen_emnlp

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How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

https://github.com/hsg-aiml/multizoo-sane

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The Impact of Model Zoo Size and Composition on Weight Space Learning

https://github.com/hsiangyuzhao/adler

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AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation

https://github.com/hsjang0/Pessimistic-Backward-Policy-for-GFlowNets

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Pessimistic Backward Policy for GFlowNets

https://github.com/huang-yh/gaussianformer

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GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

https://github.com/huangdonghere/MDEC

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Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond

https://github.com/huanghanchi/master-slave-algorithm-for-top-k-bandits

공식 코드

Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints

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