Journal Club

We are part of
The Centre for Research and Education in Data Science (CREDS), IIT Palakkad

 
CREDSAbout Us Data Science Talk Series
 

Welcome to the Machine Learning group at IIT Palakkad. We discuss concepts, techniques and recent advancements in Machine Learning.

Past talks:

Date Title JOURNAL/CONFERENCE Speaker Speaker Info Venue
Oct 04, 2021 Graph Contrastive Learning with Augmentations[pdf]
NIPS 2020 Dr. Sahely Asst. Professor Online Presentation via Google Meet
Sep 20, 2021 You Only Look Once: Unified Real-Time Object Detection (YOLO)[pdf]
IEEE CVPR 2016 Vaishak Mtech DS Online Presentation via Google Meet
Sep 13, 2021 Benchmarking Deep Learning Interpretability in Time Series Predictions [pdf]
NIPS 2020 Abilasha Research Scholar Online Presentation via Google Meet
Sep 06, 2021 Trusted Multiview Classification [pdf]
ICLR 2021 Pallavi Mtech DS Online Presentation via Google Meet
Aug 30, 2021 Tempered Sigmoid Activations for Deep Learning with Differential Privacy [pdf]
AAAI 2021 Yumna Research Scholar Online Presentation via Google Meet
Aug 23, 2021 Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems [pdf]
Nature 2019 Sneha Mtech DS Online Presentation via Google Meet
Aug 05, 2021 Modeling concept dependencies in a scientific corpus [pdf]
ACL 2016 Shabana Research Scholar Online Presentation via Google Meet
July 22, 2021 Improving Unsupervised Image Clustering With Robust Learning(RUC) [pdf]
CVPR 2021 Gaurav Research Scholar Online Presentation via Google Meet
July 15, 2021 Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models [pdf]
Computers & Chemical Engineering 2020 Dr. Mrinal Asst. Professor Online Presentation via Google Meet
July 8, 2021 Quantum expectation-maximization for Gaussian mixture models [pdf]
ICML 2020 Dr. Sahely Asst. Professor Online Presentation via Google Meet
Jun 17, 2021 Differential Privacy Has Disparate Impact on Model Accuracy [pdf]
NIPS 2019 Yumna Research Scholar Online Presentation via Google Meet
Apr 19, 2021 Timeseries Anomaly Detection usingTemporal Hierarchical One-Class Network [pdf]
NIPS 2020 Abilasha Research Scholar Online Presentation via Google Meet
Apr 12, 2021 Reinforcement Learning for the Adaptive Scheduling of Educational Activities [pdf]
CHI 2020 Shabana Research Scholar Online Presentation via Google Meet
Apr 5, 2021 Self-Supervised Graph Transformer on Large-Scale Molecular Data [pdf]
NIPS 2020 Shikha Research Scholar Online Presentation via Google Meet
Mar 22, 2021 VELDA: Relating an Image Tweet’s Text and Images [pdf]
AAAI 2015 Gaurav Research Scholar Online Presentation via Google Meet
Mar 15, 2021 Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression [pdf]
CVPR 2019 Rimmon Research Scholar Online Presentation via Google Meet
Mar 1, 2021 Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models [pdf]
NIPS 2019 Abilasha S Research Scholar Online Presentation via Google Meet
Feb 22, 2021 Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate [pdf]
NIPS 2019 Yumna Research Scholar Online Presentation via Google Meet
Feb 12, 2021 Sequencing educational content in classrooms using Bayesian knowledge tracing [pdf]
LAK 2016 Shabana Research Scholar Online Presentation via Google Meet
Feb 5, 2021 Small Data, Big Decisions: Model Selection in the Small-Data Regime [pdf]
ICML 2020 Rimmon Bhosale Research Scholar Online Presentation via Google Meet
Jan 29, 2021 Hierarchical Generation of Molecular Graphs using Structural Motifs [pdf]
ICML 2020 Shikha Mallick Research Scholar Online Presentation via Google Meet
Jan 20, 2021 A Survey on Semi-, Self- and Unsupervised Learning for Image Classification [pdf]
Survey paper 2020 Gaurav Jain Research Scholar Online Presentation via Google Meet
Jan 13, 2021 NeuralWaRP: Time series similarity with Warp networks [pdf]
SIGKDD 2019 Abilasha S Research Scholar Online Presentation via Google Meet