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Knowledge Distillation

2907 directly classified papers

Papers per year

Papers

Are Small Language Models the Silver Bullet to Low-Resource Languages Machine Translation? EACL 2026

Emotion Recognition in Multi-Speaker Conversations through Speaker Identification, Knowledge Distillation, and Hierarchical Fusion EACL 2026

baellouf at AbjadMed: Efficient Fine-tuning with All-Linear LoRA for Arabic Medical QA Classification EACL 2026

Complexity-aware fine-tuning EACL 2026

RobustGait: Robustness Analysis for Appearance Based Gait Recognition WACV 2026

DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation WACV 2026

Imitating the Functionality of Image-to-Image Models Using a Single Example WACV 2026

Diverse Sketch Colorization with Content-Enhanced Style Representation and Recolorization Distillation WACV 2026

Distilling Diversity and Control in Diffusion Models WACV 2026

KD360-VoxelBEV: LiDAR and 360-degree Camera Cross Modality Knowledge Distillation for Bird's-Eye-View Segmentation WACV 2026

CLoCKDistill: Consistent Location and Context aware Knowledge Distillation for DETRs WACV 2026

BREEN: Bridge Data-Efficient Encoder-Free Multimodal Learning with Learnable Queries WACV 2026

CanKD: Cross-Attention-based Non-local Operation for Feature-based Knowledge Distillation WACV 2026

Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources WACV 2026

From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation WACV 2026

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026

Beyond Real Weights: Hypercomplex Representations for Stable Quantization WACV 2026

SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning EACL 2026

Flow-Based Knowledge Transfer for Efficient Large Model Distillation AAAI 2026

Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method AAAI 2026

Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation AAAI 2026

FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning AAAI 2026

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning AAAI 2026

Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge AAAI 2026

Post Training Quantization for Efficient Dataset Condensation AAAI 2026