https://github.com/stedamiano/anf-siren-identification
공식 코드Frequency Tracking Features for Data-Efficient Deep Siren Identification
Papers with Code 아카이브
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/stella-von/MAT
공식 코드MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution
https://github.com/stellali7/valueScope
공식 코드ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions
https://github.com/stevenacampbell/Macroscopic-Properties-of-Equity-Markets
공식 코드Macroscopic properties of equity markets: stylized facts and portfolio performance
https://github.com/stevetmat/BioInspiredFDesc
공식 코드A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic Measures
https://github.com/stevezhangza/nash-chain-of-thought
공식 코드https://github.com/stevliu/self-conditioned-gan
공식 코드https://github.com/styfeng/GenAug
공식 코드https://github.com/subgoal-search/subgoal-search
공식 코드https://github.com/subpic/koniq
공식 코드KonIQ-10k: Towards an ecologically valid and large-scale IQA database
https://github.com/sugyeonge/towards-diverse-qag
공식 코드Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks
https://github.com/sunnweiwei/ambigprompt
공식 코드https://github.com/suntea233/duetsim
공식 코드DuetSim: Building User Simulator with Dual Large Language Models for Task-Oriented Dialogues
https://github.com/supstarzh/whitenedcse
공식 코드https://github.com/surabhisnath/pencils_to_pixels
공식 코드Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI
https://github.com/susanne-207/moc
공식 코드https://github.com/sushmitasarker/sgc_for_medical_image_classification
공식 코드Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?
https://github.com/sustechgameai/mfedrl
공식 코드State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning
https://github.com/suu990901/MaskMoE
공식 코드MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts
https://github.com/suzgunmirac/crowd-sampling
공식 코드Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding
https://github.com/svaigba/cdkgen
공식 코드https://github.com/svddchallenge/ctrsvdd2024_baseline
공식 코드CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection
https://github.com/swagshaw/rainbow-keywords
공식 코드Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting
https://github.com/swat-lab-optimization/RILaST
공식 코드Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems
https://github.com/swisscom/ai-research-keyphrase-extraction
공식 코드Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
https://github.com/swordlidev/llava-vsd
공식 코드LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description
https://github.com/syb7573330/PointGrow
공식 코드PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
https://github.com/sydney-machine-learning/MEHH_RCPSP
공식 코드MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling Problem
https://github.com/sydney-machine-learning/evolutionary-bagging
공식 코드https://github.com/sysbiosig/capacity-of-canonical-models
공식 코드Closed-Form Information Capacity of Canonical Signaling Models
https://github.com/syuqings/video-paragraph
공식 코드https://github.com/szlbiubiubiu/lafs_cvpr2024
공식 코드LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
https://github.com/szu-ddj/edda
공식 코드EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection
https://github.com/szufix/mapel
공식 코드https://github.com/tabearoeber/ce-ocl
공식 코드Counterfactual Explanations Using Optimization With Constraint Learning
https://github.com/tagoyal/sow-reap-paraphrasing
공식 코드Neural Syntactic Preordering for Controlled Paraphrase Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.