Papers with Code 아카이브

Model Optimization

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보존된 평가 기록: 0

To Optimize already existing models in Training/Inferencing tasks.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/enoche/mmrec

공식 코드

Multimodal Recommender Systems: A Survey

https://github.com/esl-epfl/Cough-E

공식 코드

Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edge

https://github.com/gaffey/excp

공식 코드

ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking

https://github.com/gauravfs-14/awesome-tinyml

공식 코드

From Tiny Machine Learning to Tiny Deep Learning: A Survey

https://github.com/genggui001/fl-tuning

공식 코드

FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer

https://github.com/genodeco/interpreting-anns-for-gwas

공식 코드

Interpreting artificial neural networks to detect genome-wide association signals for complex traits

https://github.com/haoheliu/dcase_2022_task_5

공식 코드

Segment-level Metric Learning for Few-shot Bioacoustic Event Detection

https://github.com/hhaentze/mrsegmentator

공식 코드

MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT

https://github.com/hitcbw/lpl

공식 코드

Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation

https://github.com/hkuds/llmrec

공식 코드

LLMRec: Large Language Models with Graph Augmentation for Recommendation

https://github.com/hulkima/pdrec

공식 코드

Plug-in Diffusion Model for Sequential Recommendation

https://github.com/ibm/afdistill

공식 코드

AlphaFold Distillation for Protein Design

https://github.com/intel/caffe

공식 코드

Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe

https://github.com/iwuqing/moner

공식 코드

Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation

https://github.com/jiepku/e-crf

공식 코드

E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation

https://github.com/junwei-pan/recscope

공식 코드

Ads Recommendation in a Collapsed and Entangled World

https://github.com/jzc777/se-inceptionv3-l2

공식 코드

Monkeypox disease recognition model based on improved SE-InceptionV3

https://github.com/k-s-b/climate_sd

공식 코드

Self Supervised Vision for Climate Downscaling

https://github.com/kaguraruri/psy-eval

공식 코드

PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models

https://github.com/kjetil-lye/ismo_airfoil

공식 코드

Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

https://github.com/kjetil-lye/ismo_heat

공식 코드

Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

https://github.com/kjetil-lye/ismo_validation

공식 코드

Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

https://github.com/kjetil-lye/iterative_surrogate_optimization

공식 코드

Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

https://github.com/kpeng9510/hyprometa

공식 코드

Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization

https://github.com/lab-emi/opendpd

공식 코드

OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital Predistortion

https://github.com/lerogo/mmgenbench

공식 코드

MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation Perspective

https://github.com/lijichang/lnl-nce

공식 코드

Neighborhood Collective Estimation for Noisy Label Identification and Correction

https://github.com/liudan193/Feedbacker

공식 코드

From Rankings to Insights: Evaluation Should Shift Focus from Leaderboard to Feedback

https://github.com/liuyuaa/SurvUnc

공식 코드

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis

https://github.com/lll6gg/ui-r1

공식 코드

UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning

https://github.com/lostwolves/bedi

공식 코드

BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs

https://github.com/luludak/mutatenn

공식 코드

Exploring Robustness of Image Recognition Models on Hardware Accelerators

https://github.com/mali-farooq/thermal-yolo-and-model-optimization-using-tensorflowlite

공식 코드

Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge Devices

https://github.com/maple-research-lab/slot

공식 코드

SLOT: Sample-specific Language Model Optimization at Test-time

https://github.com/mbilalzafar/fair-classification

공식 코드

Multi-objective Asynchronous Successive Halving

https://github.com/meilfang/cf-pad

공식 코드

Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.