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Knowledge Distillation
2907 directly classified papers
Papers per year
2000: 1
2010: 1
2015: 1
2016: 8
2017: 22
2018: 38
2019: 122
2020: 191
2021: 352
2022: 333
2023: 512
2024: 541
2025: 612
2026: 173
Papers
Retrieval Augmented Spelling Correction for E-Commerce Applications
EMNLP 2024
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers
EMNLP 2024
Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels
NAACL 2024
LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection
NAACL 2024
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions
EACL 2024
Generation, Distillation and Evaluation of Motivational Interviewing-Style Reflections with a Foundational Language Model
EACL 2024
Assessing the Portability of Parameter Matrices Trained by Parameter-Efficient Finetuning Methods
EACL 2024
CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation
CVPR 2024
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
CVPR 2024
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
NIPS 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
ACL 2024
PITA: Prompting Task Interaction for Argumentation Mining
ACL 2024
Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation
EMNLP 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
CVPR 2024
Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement
CVPR 2024
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
NIPS 2024
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
NIPS 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
NIPS 2024
Learning Better Representations From Less Data For Propositional Satisfiability
NIPS 2024
LiSA: LiDAR Localization with Semantic Awareness
CVPR 2024
RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
CVPR 2024
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection
CVPR 2024
MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval
CVPR 2024
Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation
CVPR 2024
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
CVPR 2024
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