TaesikGong

SSLfairness

(KDD’24) Using Self-Supervised Learning Can Improve Model Fairness

data-centric-federated-learning

Enhancing Efficiency in Multidevice Federated Learning through Data Selection

CroSSL

(WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking

salted-dnns

(HotMobile'24) Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing

kaizen

(WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning

Efficient-LLMs-Survey

[TMLR 2024] Efficient Large Language Models: A Survey

Personal_LLM_Agents_Survey

Paper list for Personal LLM Agents

SoTTA

This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, and Sung-Ju Lee (* Equal contribution).

NOTE

The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"

MetaSense_public

The official PyTorch Implementation of MetaSense (MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing, ACM SenSys '19).

federated-metasense

prototypical-network-pytorch

A re-implementation of "Prototypical Networks for Few-shot Learning"

Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

pytorch-custom-dataset-examples

Some custom dataset examples for PyTorch

universal_pytorch

Pytorch implementation of Universal Adverserial Perturbation and Fast Feature Fool

audio_adversarial_examples

Targeted Adversarial Examples on Speech-to-Text systems

python_speech_features

This library provides common speech features for ASR including MFCCs and filterbank energies.

Paddle-Lite

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

Weka-for-Android

the Weka project with the GUI components removed so it works with Android

CanvasView

Android Application Library