Reader-F, School of Computer Sciences, NISER
ପାଠକ-ଏଫ, ସଂଗଣକ ବିଜ୍ଞାନ ବିଦ୍ୟାଳୟ, ନାଇଜର
Date | Time | Speaker | Topic |
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Mon, June 12 2023 | 8:30am | Rucha | On the Expressive Power of Geometric Graph Neural Networks |
10:00am | Dr. Praneeth Netrapali | ||
1:30pm | Neha | Improving Social Network Embedding via New Second Order Continuous Graph Neural Networks | |
3:00pm | Monalisha | Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond | |
5:30pm | Sujoy | Knowledge-enhanced Black-box Attacks for Recommendations | |
Tue, June 13 2023 | 8:30am | Pranita | Describing Differences between Text Distributions with Natural Language |
10:00am | Niranjan | Symmetric Machine Theory of Mind | |
1:30pm | Pradeep | Knowledge-enhanced Black-box Attacks for Recommendations | |
3:00pm | Monalisha | Deep Representations for Time-varying Brain Datasets | |
5:30pm | Annada | ReLU Fields: The Little Non-linearity That Could | |
Wed, June 14 2023 | 8:30am | Annada | Dr.Jit A Just-ln-Time Compiler for Differentiable Rendering |
10:00am | Niranjan | Differentiable Top-k Classification Learning | |
1:30pm | Sujoy | A Large Scale Search Dataset for Unbiased Learning to Rank | |
3:00pm | Neha | AdaAX : Explaining Recurrent Neural Networks by Learning Automata with Adaptive States | |
5:30pm | Pradeep | Learning to Learn Transferable Attack | |
Thu, June 15 2023 | 8:30am | Sujoy | Revisiting Injective Attacks on Recommender Systems |
10:00am | Pradeep | Deceptive Decision-Making under Uncertainty | |
1:30pm | Pranita | Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech | |
3:00pm | Niranjan | Be Like Water: Adaptive Floating Point for Machine Learning | |
Fri, June 16 2023 | 8:30am | Annada | Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising |
10:00am | Rucha | Rethinking Graph Lottery Tickets: Graph Sparsity Matters | |
1:30pm | Monalisha | Do We Really Need Complicated Model Architectures for Temporal Networks? | |
3:00pm | Prof. Venkatesh Kamat | PhD Life: Before and after | |
Sat, June 17 2023 | 8:30am | Rucha | Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure |
10:00am | Prof. Vasudeva Siruguri | Research ethics | |
1:30pm | Neha | Towards Understanding Ensemble, Knowledge Distillation and Self Distillation in Deep Learning | |
3:00pm | Pranita | A Deep Leaming Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications |
At PhD Pathana Gosthi, we expect selected PhD students to present recent papers from top conferences such as AAAI 2023, CVPR 2023, ICLR 2023, ICML 2022, KDD 2022, NeurIPS 2022, and SIGGRAPH 2022. You will have the opportunity to suggest three papers of your choice while applying, and may be requested to present alternate papers if needed. The event aims to foster learning, discussion, and collaboration among PhD students, providing a platform for you to showcase your research and engage in meaningful discussions with fellow peers.
To participate in PhD Pathana Gosthi, PhD students need to submit their CV and Motivation Letter by filling up this form. Our selection process will involve shortlisting candidates based on their CV and Motivation Letter, and the chosen participants will be notified via email.
PhD Pathana Gosthi provides selected PhD students with accommodation, meals, travel expenses, and a comprehensive kit and a certificate of participation. These provisions aim to ensure a comfortable and engaging experience, allowing participants to fully participate in the event and showcase their research.
This website will serve as a hub for information and updates about the event, as well as a platform for students to submit their application materials. Join us for this enriching experience as we delve into the cutting-edge world of Machine Learning and explore the latest advancements in the field!Event | Date |
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Event Starts | June 12th, 2023 |
Event Ends | June 17th, 2023 |
NISER is easily accessible from Khurda Junction railway station, Bhubaneswar bus to Jatni, or Biju Patnaik International Airport via taxi or public transport.
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