RainbowPillow

CAML

Pytorch implement of "Context-Aware Mutual Learning for Semi-Supervised Human Activity Recognition Using Wearable Sensors" in Expert Systems with Applications (ESWA) 2023.

certrob-fewshot

Implementation of robustness certification procedure for Few Shot Learning in Pytorch

CFPNet

Centralized Feature Pyramid for Object Detection

CFPNet-Medicine

CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation

Clustered-Embedding-Learning

Code for the paper "Clustered Embedding Learning for Recommender Systems"

Crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

DNC

Official Pytorch implementation of 'Visual Recognition with Deep Nearest Centroids'. (ICLR2023 Spotlight)

Fed-SC

Fed-SC: one-shot federated scheme for subspace clustering

HMGAN

hyperimpute

A framework for prototyping and benchmarking imputation methods

LDP-Net

MFLVC

Multi-level Feature Learning for Contrastive Multi-view Clustering

MHCCL

MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)

MICN

Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)

MKGformer

Code for the SIGIR2022 paper "Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion."

MTS-Mixers

MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing

noisy_few_shot

Few-shot learning with mislabeled support samples

OGM-GE_CVPR2022

The repo for "Balanced Multimodal Learning via On-the-fly Gradient Modulation", CVPR 2022 (ORAL)

OS-CNN

PhysFormer

PhysFormer CVPR2022

PoseFormerV2

The project is an official implementation of our paper "PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation".

Raindrop

Graph Neural Networks for Irregular Time Series

SLA-VAE

A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems

spacetime

Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.

targeted-supcon

A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition

TCTrack

TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022) & TCTrack++

TFC-pretraining

Self-supervised contrastive learning for time series via time-frequency consistency

Time-Series-Library

A Library for Advanced Deep Time Series Models.

Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)

TRUST-RNNs