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knowledge distillation
3725 papers
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Also known as
KD
Co-occurring keywords
model compression
(3302)
large language model
(13587)
transfer learning
(5449)
domain adaptation
(4595)
representation learning
(6206)
neural network
(6616)
language model
(4599)
catastrophic forgetting
(958)
continual learning
(1181)
contrastive learning
(4032)
Papers
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability
CVPR 2023
MEDIC: Remove Model Backdoors via Importance Driven Cloning
CVPR 2023
Task Residual for Tuning Vision-Language Models
CVPR 2023
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
CVPR 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
CVPR 2023
Decoupled Multimodal Distilling for Emotion Recognition
CVPR 2023
Local 3D Editing via 3D Distillation of CLIP Knowledge
CVPR 2023
Federated Incremental Semantic Segmentation
CVPR 2023
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models
EMNLP 2023
Lion: Adversarial Distillation of Proprietary Large Language Models
EMNLP 2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
EMNLP 2023
Efficient Transformer Knowledge Distillation: A Performance Review
EMNLP 2023
Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients
EMNLP 2023
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
EMNLP 2023
Harnessing Black-Box Control to Boost Commonsense in LM’s Generation
EMNLP 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
NIPS 2023
QLoRA: Efficient Finetuning of Quantized LLMs
NIPS 2023
Knowledge Distillation for High Dimensional Search Index
NIPS 2023
Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness
NIPS 2023
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
NIPS 2023
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale
NIPS 2023
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
NIPS 2023
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
NIPS 2023
Weakly Supervised 3D Open-vocabulary Segmentation
NIPS 2023
On student-teacher deviations in distillation: does it pay to disobey?
NIPS 2023
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