ritmininglab

A-Dynamic-Meta-Learning-Model-for-Time-Sensitive-Cold-Start-Recommendations

A novel dynamic recommendation model that focuses on users who have interactions in the past but turn relatively inactive recently

Active-Learning-with-Maximum-Margin-Sparse-Gaussian-Processes

AREO

Code for the paper "Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data"

ATL

Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice

BN-SVP

Contains source code for the CVPR2022 paper titled "Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection"

CLIS

Distributionally-Robust-Optimization-for-Deep-Kernel-Multiple-Instance-Learning

EIL-MIC

GP-B2M-MLAL

GP_B2M

Multifaceted-Uncertainty-Estimation-for-Label-Efficient-Deep-Learning

ritmininglab/A-Dynamic-Meta-Learning-Model-for-Time-Sensitive-Cold-Start-Recommendations

A novel dynamic recommendation model that focuses on users who have interactions in the past but turn relatively inactive recently

ritmininglab/BN-SVP

Contains source code for the CVPR2022 paper titled "Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection"

ritmininglab/CLIS

ritmininglab/Distributionally-Robust-Optimization-for-Deep-Kernel-Multiple-Instance-Learning

ritmininglab/Multifaceted-Uncertainty-Estimation-for-Label-Efficient-Deep-Learning

ritmininglab/GP-B2M-MLAL

GP_B2M

ritmininglab/AREO

Code for the paper "Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data"

ritmininglab/Active-Learning-with-Maximum-Margin-Sparse-Gaussian-Processes

ritmininglab/EIL-MIC

ritmininglab/ATL

Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice

ritmininglab/BOSS

Code for our ICML 2024 paper Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection

ritmininglab/DCML

ritmininglab/Dynamic-Fusion-of-Eye-Movement-Data-and-Verbal-Narrations-in-Knowledge-Rich-Domains

ritmininglab/KA-HITP

ritmininglab/MET

Source code for the paper "Meta Evidential Transformer for Few-Shot Open-Set Recognition"

ritmininglab/ADMIL-P-F

Code for the KDD2022 Paper "Balancing Bias and Variance for Active Weakly Supervised Learning"

ritmininglab/AIRS

Neurips 24 "Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection" source code

ritmininglab/B-PEFT

ritmininglab/D-TRUST

Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning: A novel active learning method that discovers then ranks potential support vectors

ritmininglab/DLAIF

ritmininglab/DRE

This this the code for the paper "Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training" which is accepted by NeurIPS2023"

ritmininglab/DUNT

ritmininglab/EHND

It provides the implementation of Evidential Hierarchical Novelty Detection(E-HND).

ritmininglab/EMM

Repo for EMM: Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity (NeurIPS 2024)

ritmininglab/ENSDE

Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation

ritmininglab/Robust-N2N

Official code for 2024 KDD paper "Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness"

ritmininglab/SM2-MRS

ritmininglab/STARS

A novel AL framework that uses re-sampling to address the noisy annotations issue