← Learning Types
Deep Learning › Learning Types ›

Knowledge Distillation

790 directly classified papers

Papers per year

Papers

A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models AAAI 2025
Enabling Visual Foundation Models to Teach Compact Students via Mixture of Distillation IJCAI 2025
Dual Information Purification for Lightweight SAR Object Detection AAAI 2025
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning ACL 2025
BayesKD: Bayesian Knowledge Distillation for Compact LLMs in Constrained Fine-tuning Scenarios ACL 2025
Emo Pillars: Knowledge Distillation to Support Fine-Grained Context-Aware and Context-Less Emotion Classification ACL 2025
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation AAAI 2025
Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation AAAI 2025
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval AAAI 2025
Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization AAAI 2025
FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation ICCV 2025
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System AAAI 2025
Temporal reasoning for timeline summarisation in social media ACL 2025
Basic Reading Distillation ACL 2025
Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications ACL 2025
CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025
A Self-Distillation Recipe for Neural Machine Translation ACL 2025
EA-KD: Entropy-based Adaptive Knowledge Distillation ICCV 2025
MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language Modeling ICCV 2025
Label Augmented Dataset Distillation WACV 2025
ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation ICCV 2025
Active Data Curation Effectively Distills Large-Scale Multimodal Models CVPR 2025
PIPER: Benchmarking and Prompting Event Reasoning Boundary of LLMs via Debiasing-Distillation Enhanced Tuning ACL 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation CVPR 2025