Papers with Code 아카이브
Data-free Knowledge Distillation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/emi-group/evorl
공식 코드EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
https://github.com/emory-irlab/conqret-rag
공식 코드ConQRet: Benchmarking Fine-Grained Evaluation of Retrieval Augmented Argumentation with LLM Judges
https://github.com/enderfga/humanrefiner
공식 코드https://github.com/endtheme123/vae-compare
공식 코드Variational Autoencoder for Anomaly Detection: A Comparative Study
https://github.com/eogns282/worldrep
공식 코드Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
https://github.com/eparascho/llms-for-explanations
공식 코드Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
https://github.com/eperluo/baisbench
공식 코드Benchmarking AI scientists in omics data-driven biological research
https://github.com/epfl-dlab/causal-distances
공식 코드https://github.com/epfl-dlab/laughing-head
공식 코드Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
https://github.com/ephemeral182/empirical-study-of-gpt-4o-image-gen
공식 코드https://github.com/epistasislab/starbase-gp
공식 코드https://github.com/eq-bench/eq-bench
공식 코드EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models
https://github.com/eqtpartners/companykg
공식 코드CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
https://github.com/eqtpartners/ptec
공식 코드Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation
https://github.com/erdemub/kdd23-mtm
공식 코드https://github.com/erfanloghmani/myket-android-application-market-dataset
공식 코드TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
https://github.com/eric-ai-lab/pevit
공식 코드Parameter-efficient Model Adaptation for Vision Transformers
https://github.com/ericashimomoto/parameter-efficient-tvg
공식 코드Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding
https://github.com/erichli1/websuite
공식 코드https://github.com/erikinbc/survset
공식 코드https://github.com/esl-sun/labcat
공식 코드LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions
https://github.com/espnet/espnet
공식 코드ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
https://github.com/espnet/espnet/tree/master/egs/mgb2/asr1
공식 코드Arabic Speech Recognition by End-to-End, Modular Systems and Human
https://github.com/eternityyw/rupbench
공식 코드https://github.com/eternityyw/tram-benchmark
공식 코드TRAM: Benchmarking Temporal Reasoning for Large Language Models
https://github.com/ethz-spylab/autoadvexbench
공식 코드AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses
https://github.com/etrulls/slurm-gcp
공식 코드Image Matching across Wide Baselines: From Paper to Practice
https://github.com/evelyn0414/opera
공식 코드Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking
https://github.com/event-ahu/medical_image_analysis
공식 코드https://github.com/evolutionary-intelligence/pypop
공식 코드PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
https://github.com/evolvinglmms-lab/lmms-eval
공식 코드LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
https://github.com/evotestops/loglead
공식 코드LogLead -- Fast and Integrated Log Loader, Enhancer, and Anomaly Detector
https://github.com/ewendawi/llamea-bo
공식 코드https://github.com/exalearn/covid-drug-design
공식 코드Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19
https://github.com/exathlonbenchmark/divad
공식 코드Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.