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Data-free Knowledge Distillation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/newbeeyoung/video-corruption-robustness
공식 코드Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
https://github.com/nfyfamr/mf-nerf
공식 코드MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table
https://github.com/nheist/caligraph-for-semrec
공식 코드https://github.com/nice-x/dfgc-2022
공식 코드https://github.com/nicola-bastianello/tvopt
공식 코드https://github.com/nicolas-hbt/pygraft
공식 코드PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
https://github.com/nicolemeister/benchmarking-distributional-alignment
공식 코드Benchmarking Distributional Alignment of Large Language Models
https://github.com/nicomeyer96/qrl-benchmark
공식 코드https://github.com/nii-yamagishilab/xfever
공식 코드https://github.com/nikhil-garg/EMG_exp
공식 코드Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition
https://github.com/niklasrisse/usenix_2024
공식 코드Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection
https://github.com/niklasrisse/vpp
공식 코드Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection
https://github.com/niklasrisse/vpp_label_accuracy
공식 코드Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection
https://github.com/nikvaessen/w2v2-batch-size
공식 코드The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning
https://github.com/nju-websoft/HuggingBench
공식 코드Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph
https://github.com/nju-websoft/OpenEA
공식 코드A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
https://github.com/nju-websoft/eventea
공식 코드EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs
https://github.com/nl2code/codes
공식 코드CodeS: Natural Language to Code Repository via Multi-Layer Sketch
https://github.com/nlie2/triage
공식 코드TRIAGE: Ethical Benchmarking of AI Models Through Mass Casualty Simulations
https://github.com/nliulab/mimic4ed-benchmark
공식 코드https://github.com/nlp-waseda/traveling-across-languages
공식 코드Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMs
https://github.com/nlp2ct/detectrl
공식 코드DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
https://github.com/nlpcode/tubench
공식 코드TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions
https://github.com/nlpforua/zno
공식 코드ZNO-Eval: Benchmarking reasoning capabilities of large language models in Ukrainian
https://github.com/noheadwuzonglin/mca-bench
공식 코드MCA-Bench: A Multimodal Benchmark for Evaluating CAPTCHA Robustness Against VLM-based Attacks
https://github.com/nojhan/IOHexperimenter
공식 코드Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks
https://github.com/nojhan/paradiseo
공식 코드Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks
https://github.com/nokiroki/recsys-evaluation-of-dozens-datasets
공식 코드From Variability to Stability: Advancing RecSys Benchmarking Practices
https://github.com/nomothings/charge
공식 코드Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework
https://github.com/novasearch-team/rag-retrieval
공식 코드Benchmarking the Myopic Trap: Positional Bias in Information Retrieval
https://github.com/novelqa/novelqa.github.io
공식 코드NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens
https://github.com/noy-sternlicht/debatable-intelligence
공식 코드Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation
https://github.com/nrehush/minknet-tree-species
공식 코드https://github.com/ntaylorox/public_clinical_prompt
공식 코드https://github.com/nttmdlab-nlp/ToMATO
공식 코드ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind
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