Date Talks
20.10.2023
  • (B) Meta RL with constraints budget
  • (B) robust meta RL with maximum entropy
  • (A) RL for DEAR
  • (B) Diffusion Models for Forecasting Ambulance Demand
27.10.2023
  • (B) Reproducibility Study on Active Domain Adaptation Methods
  • (A) Counting and Localising Objects in UAV Images
03.11.2023
  • (A) Oversampling techniques for performance metrics driven event log prediction
10.11.2023
17.11.2023
24.11.2023
  • (A) On the Conversion of Sequential Rules to Hasse Diagrams
01.12.2023
  • (A) Exploring Temporal Dependency in Point Cloud Forecasting
08.12.2023
  • (M) Self-Supervised Learning of Situational Awareness in Autonomous Driving using Sensor Fusion
  • (A) Backdoor attack in few-shot learning
15.12.2023
22.12.2023
12.01.2024
  • (B) Exploring the Gap between Unsupervised, Semi-Supervised, and Active Domain Adaptation Methods
  • (A) Personalized Federated Learning: Prediction of Lane-Changing Maneuvers
19.01.2024
  • (M) Open-Set Active Learning
  • (B) Exploring Temporal Dependency in Point Cloud Forecasting
26.01.2024
  • (M) One-Bit Active Learning
02.02.2024
  • (A) Weighted Pseudo-Labels in VERIPS
  • (M) Domain Adaptation Techniques for blind super resolution applied to Thermal Remote Data Products
  • (M) Diverse Experience Replay for RL
  • (B) First Order Constrained Optimisation for Meta RL
09.02.2024
16.02.2024
  • (M) Active Learning for Semantic Segmentation
  • (M) Pseudo-label verification in Stream Active Learning
01.03.2024
  • (A) Replacing Spectral Clustering for Self-Expressive Subspace Clustering (OPTICS)
  • (A) Single-temporal Supervised Change Detection
  • (A) Stream Subspace Clustering using SENet
  • (A) Replacing Spectral Clustering for Self-Expressive Subspace Clustering (HDBSCAN)
  • (B) Video-language Probing
08.03.2024
15.03.2024
22.03.2024
  • (B) Robust Meta Reinforcement Learning with Maximum Entropy
  • (M) Behavioral-guided Event Log Generation using Genetic Algorithm Optimization

Last updated: 2024-03-02 04:00:02