Welcome to the Machine Learning group at IIT Palakkad. We discuss concepts, techniques and recent advancements in Machine Learning and Artificial Intelligence.
| Date | Title | Venue | Speaker | Role | Location |
|---|---|---|---|---|---|
| Oct 04, 2021 | Graph Contrastive Learning with Augmentations | NIPS 2020 ↗ | Dr. Sahely | Asst. Professor | Online via Google Meet |
| Sep 20, 2021 | You Only Look Once: Unified Real-Time Object Detection (YOLO) | IEEE CVPR 2016 ↗ | Vaishak | MTech DS | Online via Google Meet |
| Sep 13, 2021 | Benchmarking Deep Learning Interpretability in Time Series Predictions | NIPS 2020 ↗ | Abilasha | Research Scholar | Online via Google Meet |
| Sep 06, 2021 | Trusted Multiview Classification | ICLR 2021 ↗ | Pallavi | MTech DS | Online via Google Meet |
| Aug 30, 2021 | Tempered Sigmoid Activations for Deep Learning with Differential Privacy | AAAI 2021 ↗ | Yumna | Research Scholar | Online via Google Meet |
| Aug 23, 2021 | Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems | Nature 2019 ↗ | Sneha | MTech DS | Online via Google Meet |
| Aug 05, 2021 | Modeling Concept Dependencies in a Scientific Corpus | ACL 2016 ↗ | Shabana | Research Scholar | Online via Google Meet |
| Jul 22, 2021 | Improving Unsupervised Image Clustering With Robust Learning (RUC) | CVPR 2021 ↗ | Gaurav | Research Scholar | Online via Google Meet |
| Jul 15, 2021 | Combining Machine Learning and Process Engineering Physics towards Enhanced Accuracy and Explainability of Data-driven Models | Comp. & Chem. Eng. 2020 ↗ | Dr. Mrinal | Asst. Professor | Online via Google Meet |
| Jul 08, 2021 | Quantum Expectation-Maximization for Gaussian Mixture Models | ICML 2020 ↗ | Dr. Sahely | Asst. Professor | Online via Google Meet |
| Jun 17, 2021 | Differential Privacy Has Disparate Impact on Model Accuracy | NIPS 2019 ↗ | Yumna | Research Scholar | Online via Google Meet |
| Apr 19, 2021 | Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network | NIPS 2020 ↗ | Abilasha | Research Scholar | Online via Google Meet |
| Apr 12, 2021 | Reinforcement Learning for the Adaptive Scheduling of Educational Activities | CHI 2020 ↗ | Shabana | Research Scholar | Online via Google Meet |
| Apr 05, 2021 | Self-Supervised Graph Transformer on Large-Scale Molecular Data | NIPS 2020 ↗ | Shikha | Research Scholar | Online via Google Meet |
| Mar 22, 2021 | VELDA: Relating an Image Tweet's Text and Images | AAAI 2015 ↗ | Gaurav | Research Scholar | Online via Google Meet |
| Mar 15, 2021 | Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression | CVPR 2019 ↗ | Rimmon | Research Scholar | Online via Google Meet |
| Mar 01, 2021 | Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models | NIPS 2019 ↗ | Abilasha S | Research Scholar | Online via Google Meet |
| Feb 22, 2021 | Differentially Private Bagging: Improved Utility and Cheaper Privacy than Subsample-and-Aggregate | NIPS 2019 ↗ | Yumna | Research Scholar | Online via Google Meet |
| Feb 12, 2021 | Sequencing Educational Content in Classrooms using Bayesian Knowledge Tracing | LAK 2016 ↗ | Shabana | Research Scholar | Online via Google Meet |
| Feb 05, 2021 | Small Data, Big Decisions: Model Selection in the Small-Data Regime | ICML 2020 ↗ | Rimmon Bhosale | Research Scholar | Online via Google Meet |
| Jan 29, 2021 | Hierarchical Generation of Molecular Graphs using Structural Motifs | ICML 2020 ↗ | Shikha Mallick | Research Scholar | Online via Google Meet |
| Jan 20, 2021 | A Survey on Semi-, Self- and Unsupervised Learning for Image Classification | Survey 2020 ↗ | Gaurav Jain | Research Scholar | Online via Google Meet |
| Jan 13, 2021 | NeuralWaRP: Time Series Similarity with Warp Networks | SIGKDD 2019 ↗ | Abilasha S | Research Scholar | Online via Google Meet |