Meeting Notes November 2022

image_pdfimage_print

Meeting 03/11​

Done

  • Virtual machine setup & running experiments
    • speed is x3 slower than RTX 3090

Started working on

  • develop experiments with new dataset (Caltech101)
  • assess experiments
  • test transfer learning capabilities of CR-VAE

MS Students Updates

  • Melanie
    • Object Detection using Resnet
  • Julian
    • basic tutorials on ROS
    • Teleoperation of Turtlebot using PS5 controller
    • UR3 on ROS using MoveIt

Next on

  • description of caltech
  • talk with Konrad about the cluster
  • Update paper with correct results and send it to CVPR
  • Hyperparameter grid search experiments
  • literature review on representation learning
  • experiments with artificial datasets
  • develop methods
    • contrastive learning for spiking neural networks.
    • mode-seeking kl divergence
 
 

Meeting 11/11​

Progress

  • Updated draft of the CR-VAE paper.
  • Missed author registration deadline for CVPR >_<*
  • Run experiments with simple AE / CR-AE
  • Test if InfoMax objective actually works -> it doesn’t.
  • New implementation of the loss function
  • Tried input normalization and MSE for reconstruction error
  • Assess experiments
  • Hyperparameter grid search experiments for CR-VAE
  • Literature review on representation learning (review paper)
  • Going through ROS 2 documentation
  • Get acquanted with UR3

MS Students Updates

  • Melanie
    • Object Detection using Resnet
    • Next on: Image Segmentation
  • Julian
    • Teleoperation of Turtlebot using PS5 controller
    • Next on: UR3 on Gazebo using MoveIt

Other activities

  • Discussion with Sahar and Vedant about how Sahar could frame her Reinforcement learning research problem.

Next on

  • assess experiments from grid search with the new loss function
    • hopefully there will be some distinct difference of the 3 methods
  • further assess the value of MI as an auxilary task for unsupervised representation learnning
    • show that MI in InfoMax actually introduce noise
  • Denoising AE/CR-AE/VAE/CR-VAE with augmented images.
  • develop experiments with new dataset (Caltech101)
  • description of caltech
  • test transfer learning capabilities of CR-VAE
  • literature review on representation learning
  • experiments with artificial datasets
  • develop methods
    • contrastive learning for spiking neural networks.
    • mode-seeking kl divergence
     
Journal ideas
  • Find the best CL method for CR-VAE
  • Transfer learning
 

Meeting 17/11

Progress

  • gpu grid setbacks
  • caltech101 dataset
  • ROS2 refresh
  • new results

MS Students Updates

  • Melanie
    • Image Segmentation on Steel Defect dataset
    • Next on: Contrastive Learning
  • Julian
    • Sick
    • Next on: UR3 on Gazebo using MoveIt

Other activities

  • Study abroad fair speech

Next on

  • study the big performance gap in KLD between CR-VAE and VAE
  • further assess the value of MI as an auxilary task for unsupervised representation learnning
    • show that MI in InfoMax actually introduce noise
  • Denoising AE/CR-AE/VAE/CR-VAE with augmented images.
  • develop experiments with new dataset (Caltech101)
  • description of caltech
  • test transfer learning capabilities of CR-VAE
  • literature review on representation learning
  • experiments with artificial datasets
  • develop methods
    • contrastive learning for spiking neural networks.
    • mode-seeking kl divergence
     
Journal ideas
  • Find the best CL method for CR-VAE
  • Transfer learning
  • develop a contrastive regularization layer for NN

Meeting 23/11

Updates

  • AAAI paper submission update
    • received an email that the file was never uploaded even though I have a verification email. Still in the process of figuring out
  • new results on smaller architecture -> more distinct results

MS Students Updates

  • Melanie
    • Image Segmentation on Steel Defect dataset
    • Next on: Contrastive Learning
  • Julian
    • Dropped
    • Subject was not aligned with his program
    • working at the lab did not fit his schedule

Other activities

  • christmas & hololens 2 unboxing videos
  • storage place or display for PS5 controler, hololense, etc?
  • plan to publish the AR project as internship position
    • LinkedIn -> CPS page?
    • MUL
    • Emails

Next on

  • reconstruct the paper
  • caltech101 dataset
  • literature review on representation learning
  • Hololens 2 review
  • seminar talk for latent space representation and explainability in neural networks, feature maps. organize meetings (1 paper per week)