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The Latest News, Articles, and Events in Signal Processing
We are excited to announce a two-year postdoc position in self-supervised and weakly-supervised learning for signals, e.g. speech, audio, text, and images. While the success of deep learning largely relies on the presence of substantial amounts of labeled data, the prevailing reality often entails the abundance of unlabeled or inadequately labeled data.
Date: 5-9 February 2024 (In-person)
Location: Chennai, Tamil Nadu, India
Date: 16-18 February 2024 (In-person)
Location: Angamaly, Kerala, India
Date: 17-20 January 2024 (Hybrid)
Location: Tororo Campus , Kampala Uganda
Date: 18-22 December 2023 (In-person)
Location: Chennai, Tamil Nadu, India
Date: 5-6 January 2024 (In-person)
Location: Tamil Nadu, India
Date: 11-16 December 2023 (In-person)
Location: Coimbatore, Tamil Nadu, India
Date: 11-15 December 2023 (Hybrid)
Location: Bangalore, Karnataka, India
Date: 4-9 December 2023 (Virtual)
Location: Pune, Maharashtra, India
Date: 24-28 November 2023 (Hybrid)
Location: BTKIT Dwarahat, Uttarakhand
Date: 1-2 March 2024 (Hybrid)
Location: Rajkot, Gujarat, India
Date: 3-5 November 2023 (In-person)
Location: Colombo, Western Province, Sri Lanka
Date: 3-5 November 2023 (In-person)
Location: Ernakulam, Kerala, India
Date: 25-27 October 2023 (Hybrid)
Location: Chennai, Tamil Nadu, India
Date: 5-7 October 2023 (In-person)
Location: Kalamassery , Kochi, Kerala
Date: 1-3 October 2023
Location: Kozhikode, Kerala ,India
Date: 18 October 2023
Chapter: North Jersey Chapter
Chapter Chair: Alfredo Tan
Title: Synthetic Aperture Radar (SAR) Signal Processing Challenges and Data Sets for Associated Research
Date: 21 November 2023
Chapter: German Chapter
Chapter Chair: Wolfgang Utschick
Topic: Differentiable Tools for Digital Twin Networks
Lecture Date: 19 October 2023
Chapter: France Chapter
Chapter Chair: William Puech
Topic: Reinforcement Learning meets Federated Learning and Distributional Robustness
Lecture Date: 17 October 2023
Chapter: Spain Chapter
Chapter Chair: Javier Prieto
Topic: Nonconvex Optimization Meets Low-Rank Matrix Estimation
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