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KAIST MLILAB's Projects

am3-maml icon am3-maml

meta learning from the initializaion induced by word embedding

attribute-preserve icon attribute-preserve

Attribution Preservation in Network Compression for Reliable Network Interpretation, NeurIPS 2020

bias-contrastive-learning icon bias-contrastive-learning

Official Pytorch implementation of "Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning (NeurIPS 2021)

ckd icon ckd

This repository is the official PyTorch implementation of "Distilling Linguistic Context for Language Model Compression" by GeondoPark, Gyeongman Kim and Eunho Yang.

diffusion-video-autoencoders icon diffusion-video-autoencoders

An official implementation of "Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding" (CVPR 2023) in PyTorch.

gex icon gex

Official code implementation of "GEX: A flexible method for approximating influence via Geometric Ensemble" (NeurIPS 2023)

graphens icon graphens

GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)

multi2one icon multi2one

Official Pytorch implementation of the paper Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance (accepted to ICLR 2023)

proxydet icon proxydet

Official implementation of the paper "ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection"

sgem icon sgem

Official PyTorch implementation of SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization (INTERSPEECH 2023 Oral Presentation)

tam icon tam

TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification

trimmed_penalty icon trimmed_penalty

Implementations for "Trimming the ℓ₁ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning" Published on ICML 2019

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