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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/sail-sg/closer-look-llm-unlearning

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A Closer Look at Machine Unlearning for Large Language Models

https://github.com/saili0103/fairm

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FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality

https://github.com/sakanaai/sudoku-bench

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Sudoku-Bench: Evaluating creative reasoning with Sudoku variants

https://github.com/sakshishukla1996/SpeechTopSeg

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Advancing Topic Segmentation of Broadcasted Speech with Multilingual Semantic Embeddings

https://github.com/salehiac/FAERY-original

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Few-shot Quality-Diversity Optimization

https://github.com/salehiac/languagegroundedqd

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Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity

https://github.com/salesforce/DialogStudio

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DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI

https://github.com/salesforce/discord_questions

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Discord Questions: A Computational Approach To Diversity Analysis in News Coverage

https://github.com/salesforce/lavis

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InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

https://github.com/salmon1802/cetn

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CETN: Contrast-enhanced Through Network for CTR Prediction

https://github.com/salt-nlp/darg

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DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph

https://github.com/samgregoost/Rethinking-CGANs

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Rethinking conditional GAN training: An approach using geometrically structured latent manifolds

https://github.com/samiksome/faster-rcnn.pytorch

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Determinantal Point Process as an alternative to NMS

https://github.com/samsartor/content_aware_tiles

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Content-aware Tile Generation using Exterior Boundary Inpainting

https://github.com/sanderwood/clamp2

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CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models

https://github.com/sanketx/al-foundation-models

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Revisiting Active Learning in the Era of Vision Foundation Models

https://github.com/sanphouwang/fedccrl

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FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning

https://github.com/sanweiliti/EgoHMR

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Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views

https://github.com/sbarratt/inception-score-pytorch

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A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs

https://github.com/sbj028/deepconvolutionalforestparameterregression

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Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation

https://github.com/sbrblee/DivRareGen

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Diverse Rare Sample Generation with Pretrained GANs

https://github.com/sbuschjaeger/rf-double-descent

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There is no Double-Descent in Random Forests

https://github.com/scaleapi/plansearch

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Planning In Natural Language Improves LLM Search For Code Generation

https://github.com/schrum2/MM-NEAT

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Evolving Flying Machines in Minecraft Using Quality Diversity

https://github.com/scongl/dirmixe

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Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition

https://github.com/scutzzj/aniportrait

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AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation

https://github.com/scuwyh2000/diff-ii

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Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification

https://github.com/sdret/pedestrian-attribute-recognition-as-label-balanced-multi-label-learning

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Pedestrian Attribute Recognition as Label-balanced Multi-label Learning

https://github.com/seacowx/opentom

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OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models

https://github.com/seacrowd/seacrowd.github.io

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Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia

https://github.com/sebastianberns/diversity-weights

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Towards Mode Balancing of Generative Models via Diversity Weights

https://github.com/sebastianruder/learn-to-select-data

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Learning to select data for transfer learning with Bayesian Optimization

https://github.com/sefazeng/llm-ref

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Towards Multiple References Era -- Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation

https://github.com/sehyunkwon/task-diversity-icl

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Task Diversity Shortens the ICL Plateau

https://github.com/selous123/ccdf

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On Practical Diversified Recommendation with Controllable Category Diversity Framework

https://github.com/sensengao/vlptransferattack

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Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory

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