Repository of my talks/presentations
2024
| Topic | Event | Month |
|---|---|---|
| torch.func: Functional Transforms in PyTorch | 8th Annual Toronto Machine Learning Summit | July |
2023
| Topic | Event | Month |
|---|---|---|
| PyTorch 2.0 - Why Should You Care | EuroPython 2023 | July |
2022
| Topic | Event | Month |
|---|---|---|
| Distributed Training with PyTorch | 6th Annual Summit and Expo, Toronto Machine Learning Society | November |
| Journey from undergrad to ML research | OnRec, IITR Podcast | November |
| Panel Discussion on Internship Opportunities for Undergraduate Students | IITR Alumni Mentorship Program | March |
2021
2020
2019
| Topic | Event | Month |
|---|---|---|
| GNN Explainer - A Tool for Post-hoc Explanation of Graph Neural Networks | Reading Group on Graphs, MILA | March |
2018
| Topic | Event | Month |
|---|---|---|
| Numpy to PyTorch | PyCon Canada | November |
| Numpy to PyTorch | Montreal Python | November |
| Representation Learning on Graphs with Jumping Knowledge Networks | Reading Group on Graphs, MILA | June |
| Stochastic Training of Graph Convolutional Networks with Variance Reduction | Reading Group on Graphs, MILA | June |
| GraphRNN: A Deep Generative Model for Graphs | Reading Group on Graphs, MILA | May |
| Message Passing Neural Networks | Reading Group on Graphs, MILA | April |
2017
| Topic | Event | Month |
|---|---|---|
| Task-Oriented Query Reformulation with Reinforcement Learning | Language Understanding and Reading Group, MILA | September |
| Machine Learning Architectures | PyData Conference 2017 | September |
| Deep Learning using Image Captioning with TensorFlow & Keras! | Women Who Code | July |
| Python for Machine Learning | Women Who Code | June |
| Question & Answer Session on Deep Learning | Commonlounge Community | March |
| Functional Programming in Python | PyDelhi Conference 2017 | March |
| Panel Discussion on state of Python in Delhi/NCR | PyDelhi Conference 2017 | March |