Latest Articles for Knowledge Distillation

A method to enhance MLPs using reliable knowledge from GNNs.

A new method enhances speaker verification by combining knowledge distillation and fine-tuning.

A new framework for continual learning in ever-changing data environments.

New methods improve texture anomaly detection for quality control in manufacturing.

Techniques to reduce model size while preserving performance are emerging.

A new model reduces size while improving multilingual speech recognition.

New methods improve efficiency in training smaller neural models.

LeakDistill enhances AMR parsing using structural information and knowledge distillation.

A new method boosts accuracy in medical image processing.

A fresh method enhances satellite image restoration by separating distortions for better clarity.

A new method improves trajectory prediction accuracy without relying on high-definition maps.

Exploring the Confidence Ranking framework for better ad predictions.

EfficientBioAI helps researchers optimize AI models for faster, energy-efficient bioimaging.

TSKD improves machine learning by using past knowledge to enhance current training.

Introducing LWALM for effective pedestrian attribute recognition on resource-limited devices.

New methods improve language model efficiency without sacrificing performance.

Boosting molecular predictions using efficient model techniques.

Research introduces efficient models for predicting ship orientation using deep learning techniques.

This research focuses on efficient action recognition using only video frames.

A new method improves financial text recognition across different languages.

A framework for classifying soccer actions efficiently using video analysis.

A method for 3D visual grounding using minimal annotations.

Using pre-trained audio embeddings leads to better music classification models.

Examining how SSL methods perform under varying image conditions.

A new method improves federated learning while preserving patient data privacy.

New methods improve MRI detection of endometriosis-related POD blockages.

A new method improves meeting summaries while protecting sensitive data.

Platypus offers a fast, affordable solution in the realm of language processing.

A new method improves lightweight object detectors using multiple teacher models.

Improving continual learning through teacher adaptation and knowledge distillation.

NAPA-VQ offers a solution to retain knowledge in AI systems while learning new information.

New methods improve compact models for 3D object detection using representation disparity.

SpikingBERT combines spiking neural networks with language tasks for better energy efficiency.

New method allows adapting task focus in multi-task learning systems.

A framework for effective federated learning while protecting user privacy.

Enhancing how TinyBERT learns from BERT for better language processing.

A new system for virtual try-on technology that improves online shopping.

SynthDistill framework uses synthetic data for efficient face recognition on smaller devices.

MuReNN combines parametric and nonparametric models for improved audio analysis.

New model improves predictions of TCR-antigen binding for cancer treatment.