https://github.com/patilli/vqa_benchmarking
공식 코드Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking
Papers with Code 아카이브
Data-free Knowledge Distillation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/patricia-pereira/deep-emotion-recognition-in-textual-conversations
공식 코드https://github.com/patriziobellan86/petsotaandchallenges
공식 코드https://github.com/patriziobellan86/processextractionfromtextsotaandchallenges
공식 코드https://github.com/pawpuk/curvbim
공식 코드Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance
https://github.com/pbelcak/fastbert
공식 코드https://github.com/pbelcak/perkit
공식 코드https://github.com/pbonazzi/eva
공식 코드RGB-Event Fusion with Self-Attention for Collision Prediction
https://github.com/pchlenski/hyperdt
공식 코드https://github.com/peernagy/lob_bench
공식 코드LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data
https://github.com/pencilzhang/MAC-light-field-saliency-net
공식 코드Light Field Saliency Detection with Deep Convolutional Networks
https://github.com/penfever/sos-bench
공식 코드Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
https://github.com/perib/automl_digen_benchmark
공식 코드Benchmarking AutoML algorithms on a collection of synthetic classification problems
https://github.com/phandangthoai/Comparison-Performance-of-Spectrogram-and-Scalogram-as-Input-of-Acoustic-Recognition-Task
공식 코드Comparison Performance of Spectrogram and Scalogram as Input of Acoustic Recognition Task
https://github.com/phenixace/tomg-bench
공식 코드TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation
https://github.com/phenomicai/bascvi
공식 코드Benchmarking and optimizing organism wide single-cell RNA alignment methods
https://github.com/phoenixz810/risebench
공식 코드Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
https://github.com/phonchi/Cryo-RAlib
공식 코드Cryo-RALib -- a modular library for accelerating alignment in cryo-EM
https://github.com/pic4ser/pic4rl_gym
공식 코드https://github.com/pic4ser/unsupervised-novelty-detection-methods-benchmarking-with-wavelet-decomposition
공식 코드Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition
https://github.com/picda/picbench
공식 코드PICBench: Benchmarking LLMs for Photonic Integrated Circuits Design
https://github.com/pierlj/aaf_framework
공식 코드A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images
https://github.com/pierreadorni/capabilities-encoding
공식 코드https://github.com/pierrecolombo/rankingnlpsystems
공식 코드What are the best systems? New perspectives on NLP Benchmarking
https://github.com/pjlallen/surgical-image-restoration
공식 코드Benchmarking Laparoscopic Surgical Image Restoration and Beyond
https://github.com/pku-baichuan-mlsystemlab/fb-bench
공식 코드FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback
https://github.com/pku-dair/hetu-galvatron
공식 코드Galvatron: An Automatic Distributed System for Efficient Foundation Model Training
https://github.com/pkulcwmzx/knowledge-boundary
공식 코드https://github.com/plan-lab/mtsbench
공식 코드mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale
https://github.com/plantnet/malpolon
공식 코드MALPOLON: A Framework for Deep Species Distribution Modeling
https://github.com/plumdeq/neuro-kglink
공식 코드https://github.com/pluslabnlp/geneva
공식 코드https://github.com/pmc-patients/pmc-patients
공식 코드https://github.com/pmernyei/wiki-cs-dataset
공식 코드Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
https://github.com/pmoriano/benchmarking-unsupervised-online-IDS-masquerade-attacks
공식 코드Benchmarking Unsupervised Online IDS for Masquerade Attacks in CAN
https://github.com/pokerwf/KnowLogic
공식 코드SCoRE: Benchmarking Long-Chain Reasoning in Commonsense Scenarios
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.