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@mala-lab

Machine Learning & Applications (MaLA)

A research team working with Guansong Pang, specializing in handling unknown or abnormal data instances

Introduction

SMU Machine Learning & Applications (MaLA) Lab consists of a team led by Assistant Professor Guansong Pang in the School of Computing and Information Systems at Singapore Management University (SMU), working on a variety of machine learning, data mining, and computer vision problems.

Some research areas of particular interest include:

  • 🍿 Anomaly detection
  • 🍿 Open-world learning (out-of-distribution detection/generalization, open-set recognition, long-tailed classification, continual learning, open-vocabulary learning, etc.)
  • 🍿 Graph representation learning
  • 🍿 Deep reinforcement learning for knowledge discovery

The team also explores safety-critical and commercially/scientifically-significant real-world applications, including network intrusion detection, fraud detection, person re-identification, early detection of diseases, learning from biomedicine data, defect detection, biometric anti-spoofing, hate/toxic speech detection, etc.

The team has been actively collaborating with research teams led by various researchers, e.g., Prof. Ling Chen, Prof. Christopher Leckie, Prof. Xiao Bai, Prof. Peng Wang, Prof. Chunhua Shen, Prof. Ming-Sheng Shang, Prof. Kai-Ming Ting, and Prof. Gustavo Carneiro.

Pinned

  1. TAM-master TAM-master Public

    Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"

    Python 21 2

  2. SIC-CADS SIC-CADS Public

    Code Implementation of "Simple Image-level Classification Improves Open-vocabulary Object Detection" (AAAI'24)

    Python 14 1

  3. COCL COCL Public

    Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)

    Python 10 2

  4. AHL AHL Public

    Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.

    Python 16 2

  5. NegPrompt NegPrompt Public

    The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"

    Python 12 2

  6. InCTRL InCTRL Public

    Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

    Python 69 11

Repositories

Showing 10 of 34 repositories
  • TAM-master Public

    Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"

    Python 21 2 0 0 Updated Apr 28, 2024
  • AHL Public

    Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.

    Python 16 2 1 0 Updated Apr 20, 2024
  • ADer Public Forked from zhangzjn/ADer

    ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

    Python 0 6 0 0 Updated Apr 17, 2024
  • InCTRL Public

    Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

    Python 69 11 3 0 Updated Apr 15, 2024
  • NegPrompt Public

    The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"

    Python 12 MIT 2 2 0 Updated Apr 8, 2024
  • GGAD Public

    This code is for the paper titled with Generative Semi-supervised Graph Anomaly Detection

    7 0 1 0 Updated Apr 4, 2024
  • WinCLIP Public

    Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same zero-/few-shot AD performance as that in the original paper.

    Python 8 GPL-3.0 3 1 0 Updated Apr 4, 2024
  • AnomalyCLIP Public Forked from zqhang/AnomalyCLIP

    Official implementation for paper "Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection" (ICLR 2024)

    Python 2 18 0 0 Updated Mar 20, 2024
  • .github Public
    0 0 0 0 Updated Mar 18, 2024
  • SIC-CADS Public

    Code Implementation of "Simple Image-level Classification Improves Open-vocabulary Object Detection" (AAAI'24)

    Python 14 1 8 0 Updated Jan 12, 2024

Most used topics

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