← Application Areas
Machine Learning › Application Areas ›

Knowledge Distillation

2907 directly classified papers

Papers per year

Papers

A Closer Look at Knowledge Distillation in Spiking Neural Network Training AAAI 2026
SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing AAAI 2026
Transferring Causal Driving Patterns for Generalizable Traffic Simulation with Diffusion-Based Distillation AAAI 2026
From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations AAAI 2026
Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks AAAI 2026
Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation AAAI 2026
Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation AAAI 2026
S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting AAAI 2026
Progressive Multi-modal Knowledge Distillation for Multi-spectral Object Re-identification AAAI 2026
PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks AAAI 2026
FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning AAAI 2026
IGT4ETH: An Isotropic Pre-trained Graph Transformer for Ethereum Account Classification AAAI 2026
SPEED-Q: Staged Processing with Enhanced Distillation Towards Efficient Low-Bit On-Device VLM Quantization AAAI 2026
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations AAAI 2026
Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopy AAAI 2026
CKDA: Cross-modality Knowledge Disentanglement and Alignment for Visible-Infrared Lifelong Person Re-identification AAAI 2026
RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection AAAI 2026
AfriNLLB: Efficient Translation Models for African Languages EACL 2026
GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge AAAI 2026
Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA Adapters WACV 2026
TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution AAAI 2026
Distilling What and Why: Enhancing Driver Intention Prediction with MLLMs WACV 2026
View-aware Cross-modal Distillation for Multi-view Action Recognition WACV 2026
Condensed Data Expansion Using Model Inversion for Knowledge Distillation AAAI 2026
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning AAAI 2026