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/recsys-benchmark/daisyrec-v2.0
공식 코드DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
https://github.com/reczoo/BARS
공식 코드BARS-CTR: Open Benchmarking for Click-Through Rate Prediction
https://github.com/reliable-information-lab-hevs/benchmark_llm_texts_detection
공식 코드LLM Detectors Still Fall Short of Real World: Case of LLM-Generated Short News-Like Posts
https://github.com/reml-lab/URSABench
공식 코드https://github.com/remotebiosensing/rppg
공식 코드Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG
https://github.com/respiratory-support/respiratory-interventions
공식 코드https://github.com/retailmarketingai/retailsynth
공식 코드RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation
https://github.com/reubenjrouse/VCap_CapsuleVision2024
공식 코드Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy
https://github.com/revdotcom/speech-datasets
공식 코드https://github.com/rgeirhos/dataset-pruning-metrics
공식 코드Beyond neural scaling laws: beating power law scaling via data pruning
https://github.com/rgeirhos/shortcut-perspective
공식 코드https://github.com/rhermary/plume
공식 코드Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
https://github.com/ricgama/maenvs4vrp
공식 코드https://github.com/richard-guyunqi/BlenderGym-Open
공식 코드BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing
https://github.com/richterleo/Auditing_Test_for_LMs
공식 코드An Auditing Test To Detect Behavioral Shift in Language Models
https://github.com/rijgersberg/geitje
공식 코드https://github.com/ritatanz/sav
공식 코드Towards Student Actions in Classroom Scenes: New Dataset and Baseline
https://github.com/rivas-lab/Smiles2Dock
공식 코드Smiles2Dock: an open large-scale multi-task dataset for ML-based molecular docking
https://github.com/rkarmaka/SoftPQ
공식 코드SoftPQ: Robust Instance Segmentation Evaluation via Soft Matching and Tunable Thresholds
https://github.com/rll-research/b-pref
공식 코드B-Pref: Benchmarking Preference-Based Reinforcement Learning
https://github.com/rllab/rllab
공식 코드Benchmarking Deep Reinforcement Learning for Continuous Control
https://github.com/robfiras/loco-mujoco
공식 코드LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion
https://github.com/robin-janssen/codes-benchmark
공식 코드https://github.com/robshahla/VisQUIC
공식 코드Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis
https://github.com/rockylzy/textdefender
공식 코드Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
https://github.com/roeltim/ml-leaderboard-position-paper
공식 코드A Position Paper on the Automatic Generation of Machine Learning Leaderboards
https://github.com/rohban-lab/swinchex
공식 코드SwinCheX: Multi-label classification on chest X-ray images with transformers
https://github.com/rohit901/VANE-Bench
공식 코드VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs
https://github.com/rolnicklab/imagenetbiodiversity
공식 코드https://github.com/romanenkova95/principledcpd
공식 코드Deep learning model solves change point detection for multiple change types
https://github.com/roryshao/dfkd-fgvc
공식 코드Data-free Knowledge Distillation for Fine-grained Visual Categorization
https://github.com/roundfacej/omni
공식 코드https://github.com/rovislab/loopdb
공식 코드LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping
https://github.com/rr-learning/trifinger-rl-example
공식 코드Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
https://github.com/rr-learning/trifinger_rl_datasets
공식 코드Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.