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Data-free Knowledge Distillation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 1
평가표: 2
보존된 평가 기록: 8

코드

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

https://github.com/constraint-solvers/benchmark-corruptions

공식 코드

https://github.com/continual-nesy/LTLZinc

공식 코드

A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge

https://github.com/continual-nesy/kandybenchmark

공식 코드

The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns

https://github.com/copenlu/scientific-exaggeration-detection

공식 코드

Semi-Supervised Exaggeration Detection of Health Science Press Releases

https://github.com/corentin-ryr/multimedeval

공식 코드

MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models

https://github.com/corl-team/CORL

공식 코드

CORL: Research-oriented Deep Offline Reinforcement Learning Library

https://github.com/corsteging/parameterizedargumentationbasedreasoningtasks

공식 코드

Parameterized Argumentation-based Reasoning Tasks for Benchmarking Generative Language Models

https://github.com/cosmoimd/deeplearningexamples

공식 코드

REAL-Colon: A dataset for developing real-world AI applications in colonoscopy

https://github.com/cosmoimd/real-colon-dataset

공식 코드

REAL-Colon: A dataset for developing real-world AI applications in colonoscopy

https://github.com/craftjarvis/mcu

공식 코드

Towards Evaluating Generalist Agents: An Automated Benchmark in Open World

https://github.com/craston/object_detection_cib

공식 코드

Class Imbalance in Object Detection: An Experimental Diagnosis and Study of Mitigation Strategies

https://github.com/crisisltlsum/crisistimelines

공식 코드

CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization

https://github.com/crowdbotp/OpenTraj

공식 코드

OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets

https://github.com/cruiseresearchgroup/dief_bts

공식 코드

BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics

https://github.com/cruiseresearchgroup/massive-steps

공식 코드

Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks

https://github.com/crusnic-corp/BN-AuthProf

공식 코드

BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts

https://github.com/csebuetnlp/BanglaSocialBias

공식 코드

Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias

https://github.com/cshaitao/lexrag

공식 코드

LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation

https://github.com/csu-jpg/v-mage

공식 코드

V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language Models

https://github.com/ctplab/iid_representation_learning

공식 코드

Towards IID representation learning and its application on biomedical data

https://github.com/ctrl-gaurav/llmthinkbench

공식 코드

LLMThinkBench: Towards Basic Math Reasoning and Overthinking in Large Language Models

https://github.com/ctuning/cbench

공식 코드

The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps

https://github.com/ctuning/ck

공식 코드

Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs

https://github.com/cty1934/efsa

공식 코드

EFSA: Towards Event-Level Financial Sentiment Analysis

https://github.com/cubenlp/BIBench

공식 코드

FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models

https://github.com/cuhk-arise/psychobench

공식 코드

Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench

https://github.com/cvblab/AI4SkIN_leaderboard

공식 코드

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping

https://github.com/cvi-szu/facebench

공식 코드

FaceBench: A Multi-View Multi-Level Facial Attribute VQA Dataset for Benchmarking Face Perception MLLMs

https://github.com/cvi-yangwn/benchmark-gnn-for-multivariate-time-series-classification

공식 코드

Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification

https://github.com/cvjena/deic

공식 코드

Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification

https://github.com/cwcleghornai/cornn

공식 코드

A Continuous Optimisation Benchmark Suite from Neural Network Regression

https://github.com/cxh-research/guidedhybsensuir

공식 코드

Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis

https://github.com/cycl2018/recommendation-editing

공식 코드

Better Late Than Never: Formulating and Benchmarking Recommendation Editing

https://github.com/cyrilvallez/image-manipulation-detection

공식 코드

Needle In A Haystack, Fast: Benchmarking Image Perceptual Similarity Metrics At Scale

https://github.com/cysecbench/dataset

공식 코드

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models

https://github.com/da-wen-er/vdss

공식 코드

A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady State

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