Welcome to the Machine Learning group at IIT Palakkad. We discuss concepts, techniques and recent advancements in Machine Learning and Artificial Intelligence.
2024
22 talks
| Date | Title | Venue | Speaker | Role | Location |
|---|---|---|---|---|---|
| Feb 12, 2024 | Fully Attentional Networks with Self-emerging Token Labeling | ICCV 2023 ↗ | Thomas John | Research Scholar | Samgatha 307 |
| Feb 19, 2024 | Coordinate Attention for Efficient Mobile Network Design | CVPR 2021 ↗ | Siddhant Shatapathy | M.Tech Data Science | Samgatha 307 |
| Feb 26, 2024 | DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release | VLDB 2024 ↗ | Arghyadeep Ghosh | M.Tech Data Science | Samgatha 307 |
| Mar 04, 2024 | BioNet: A Biologically-Inspired Network for Face Recognition | CVPR 2023 ↗ | Sam Narayana Subudhi | M.Tech Data Science | Samgatha 307 |
| Mar 18, 2024 | A talk about various convolutions in recent times | -- | Dr. Mrinal Kanti Das | Asst. Professor | Samgatha 307 |
| Mar 25, 2024 | FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation | CVPR 2024 ↗ | Souvik Mallick | M.Tech Data Science | Samgatha 307 |
| Apr 08, 2024 | Describing Differences in Image Sets with Natural Language | CVPR 2024 ↗ | Chandan Kumar | M.Tech Data Science | Samgatha 307 |
| Apr 15, 2024 | Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets | NIPS 2023 ↗ | Nitesh Singh | M.Tech Data Science | Samgatha 307 |
| Apr 22, 2024 | SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations | NIPS 2023 ↗ | Dr. Sahely Bhadra | Asst. Professor | Samgatha 307 |
| Jul 08, 2024 | Detecting Multivariate Time Series Anomalies with Zero Known Label | AAAI 2023 ↗ | Vinitha M Rajan | Research Scholar | Meeting Room 1, D03 (Abdul Kalam Block) |
| Jul 15, 2024 | Glow: Generative Flow with Invertible 1×1 Convolutions | AAAI 2018 ↗ | Sivani E | M.Tech Data Science | Meeting Room 1 (Abdul Kalam Block) |
| Jul 22, 2024 | Diffusion Model | Presentation on Diffusion Models | Dr. Mrinal Kanti Das | Asst. Professor | Meeting Room 1 (Abdul Kalam Block) |
| Jul 29, 2024 | Scalable Diffusion Models with Transformers | ICCV 2023 ↗ | Thomas John | Research Scholar | Meeting Room 1 (Abdul Kalam Block) |
| Aug 05, 2024 | Directional Diffusion Models for Graph Representation Learning | NeurIPS 2024 ↗ | Ankit S | Research Scholar | Meeting Room 1 (Abdul Kalam Block) |
| Aug 12, 2024 | Interpretable Diffusion Via Information Decomposition | ICLR 2024 ↗ | Vishnu B Raj | Research Scholar | Meeting Room 1 (Abdul Kalam Block) |
| Aug 19, 2024 | Training Normalizing Flows from Dependent Data | PMLR 2023 ↗ | Eva Cherian | Research Scholar | Large Conference Room, ICSR, Nila |
| Sep 30, 2024 | Bandit Algorithms (Median Elimination, Thomson Sampling) | RL Lecture Series – 1 ↗ | Ankit S | Research Scholar | Large Conference Room, ICSR, Nila |
| Oct 21, 2024 | Policy Gradient (Policy Search, Contextual Bandits) | RL Lecture Series – 2 ↗ | Eva Cherian | Research Scholar | Large Conference Room, ICSR, Nila |
| Nov 11, 2024 | Function Approximation (Linear Parameterization, State Aggregation) | RL Lecture Series – 3 ↗ | Thomas John | Research Scholar | Large Conference Room, ICSR, Nila |
| Nov 18, 2024 | Basics of Reinforcement Learning: MDP, Bellman-Ford Equation; Q-Learning | RL Lecture Series – 4 ↗ | Vinitha M Rajan | Research Scholar | Large Conference Room, ICSR, Nila |
| Nov 25, 2024 | Deep Q-Learning | RL Lecture Series – 5 ↗ | Vinitha M Rajan | Research Scholar | Large Conference Room, ICSR, Nila |
| Dec 02, 2024 | REINFORCE and Policy Gradient with Function Approximation | RL Lecture Series – 6 ↗ | Vishnu B Raj | Research Scholar | Large Conference Room, ICSR, Nila |