https://github.com/kratzert/caravan
공식 코드Caravan MultiMet: Extending Caravan with Multiple Weather Nowcasts and Forecasts
Papers with Code 아카이브
Knowledge Distillation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 11
- 보존된 평가 기록
- 90
Knowledge distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have higher knowledge capacity than small models, this capacity might not be fully utilized.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kratzert/ealstm_regional_modeling
공식 코드https://github.com/kristian10007/convgen
공식 코드https://github.com/krumpguo/fedvls
공식 코드https://github.com/krystalan/goal
공식 코드GOAL: Towards Benchmarking Few-Shot Sports Game Summarization
https://github.com/kshitij98/cvil
공식 코드cViL: Cross-Lingual Training of Vision-Language Models using Knowledge Distillation
https://github.com/kth-rpl/dynamicmap_benchmark
공식 코드https://github.com/kuangenzhang/edh
공식 코드Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation
https://github.com/kuleens/vlmbiaseval
공식 코드debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias
https://github.com/kuluhan/gtn
공식 코드Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architectures
https://github.com/kuluhan/pre-dfkd
공식 코드Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay
https://github.com/kumar-shridhar/distiiling-lm
공식 코드Distilling Reasoning Capabilities into Smaller Language Models
https://github.com/kumar-shridhar/siked
공식 코드SIKeD: Self-guided Iterative Knowledge Distillation for mathematical reasoning
https://github.com/kurbanintelligencelab/multicrystalspectrumset
공식 코드https://github.com/kw90/ctw_translation_toolchain
공식 코드https://github.com/kxplaug/taa-bench
공식 코드https://github.com/kyle8581/dialoguecot
공식 코드Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
https://github.com/kylelo/roofdiffusion
공식 코드RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion
https://github.com/kyleseelman/vqa_accessibility
공식 코드https://github.com/kymatio/murenn
공식 코드Fitting Auditory Filterbanks with Multiresolution Neural Networks
https://github.com/kyungmi-lee/eval-adv-robustness
공식 코드Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods
https://github.com/kzkadc/uninfo
공식 코드https://github.com/l3cube-pune/MarathiNLP
공식 코드https://github.com/l3g5/impossible-bench
공식 코드https://github.com/lab-emi/opendpd
공식 코드https://github.com/lacava/ode-strogatz
공식 코드Contemporary Symbolic Regression Methods and their Relative Performance
https://github.com/lachinov/brats2019
공식 코드https://github.com/lakpa-tamang9/margin_ood
공식 코드Margin-bounded Confidence Scores for Out-of-Distribution Detection
https://github.com/lalasray/dmcb
공식 코드Selecting the motion ground truth for loose-fitting wearables: benchmarking optical MoCap methods
https://github.com/lalithjets/global-reasoned-multi-task-model
공식 코드Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding
https://github.com/lamalab-org/chem-bench
공식 코드https://github.com/lamalab-org/chembench
공식 코드https://github.com/lamalab-org/mattext
공식 코드MatText: Do Language Models Need More than Text & Scale for Materials Modeling?
https://github.com/lamp-benchmark/lamp
공식 코드Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
https://github.com/lancopku/cascadebert
공식 코드https://github.com/lancopku/dckd
공식 코드Distributional Correlation--Aware Knowledge Distillation for Stock Trading Volume Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.