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Knowledge Distillation
623 directly classified papers
Papers per year
2014: 1
2016: 1
2017: 7
2018: 4
2019: 21
2020: 61
2021: 76
2022: 97
2023: 90
2024: 108
2025: 148
2026: 9
Papers
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
ACL 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
AAAI 2024
Three Pillars Improving Vision Foundation Model Distillation for Lidar
CVPR 2024
IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation
CVPR 2024
SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
CVPR 2024
Small Scale Data-Free Knowledge Distillation
CVPR 2024
To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation
ACL 2024
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
CVPR 2024
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
ACL 2024
Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection
ACL 2024
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract)
AAAI 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
ACL 2024
Token-wise Influential Training Data Retrieval for Large Language Models
ACL 2024
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
ACL 2024
Distilling Semantic Priors from SAM to Efficient Image Restoration Models
CVPR 2024
Study Selectively: An Adaptive Knowledge Distillation based on a Voting Network for Heart Sound Classification
INTERSPEECH 2024
KG-Adapter: Enabling Knowledge Graph Integration in Large Language Models through Parameter-Efficient Fine-Tuning
ACL 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
AAAI 2024
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
AAAI 2024
UDON: Universal Dynamic Online distillatioN for generic image representations
NIPS 2024
Privileged Prior Information Distillation for Image Matting
AAAI 2024
Cross-modal Representation Flattening for Multi-modal Domain Generalization
NIPS 2024
Self-Distilled Depth Refinement with Noisy Poisson Fusion
NIPS 2024
Label Attentive Distillation for GNN-Based Graph Classification
AAAI 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
NIPS 2024
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