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University at Buffalo

UB Graduate Academic Schedule: Spring 2023


This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.


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CSE 701SEM - Seminars
Lecture
Seminars A Enrollment Information (not real time - data refreshed nightly)
Class #:   20435   Enrollment Capacity:   35
Section:   A   Enrollment Total:   35
Credits:   1.00 - 3.00 credits   Seats Available:   0
Dates:   01/30/2023 - 05/12/2023   Status:   CLOSED
Days, Time:   W , 4:00 PM - 6:50 PM
Room:   Talbrt 103 view map
Location:   North Campus      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
Force Reg: Seats Reserved 35 0  
Comments
Some Recent Progresses in Machine Learning Machine learning (ML) and artificial Intelligence (AI) is transforming society and promoting various innovations in computer vision, language processing, 5G networks, edge computing, autonomous systems, healthcare etc. In this seminar, we will review some recent breakthroughs and progresses in the theoretical foundations, algorithms and applications of modern machine learning. The first part of this topic will include various new optimization algorithms such as adaptive gradient methods, bilevel optimizers, federated optimizers and their applications in ML. The second part will discuss the generalization analysis of training overparameterized models and neural networks. The final part will talk about recent hot topics in modern ML such as meta-learning, continual learning and contrastive learning. All students in this seminar are expected to read, discuss, present and write summaries of selected papers on such topics. Pre-requisite: CSE 474/574 Please use the force registration system (https://academics.eng.buffalo.edu/force-registration/request)
  Course Description
This course is a seminar. Seminar topics change every semester. Please refer to seminar instance topics and descriptions by semester
  Instructor(s)
             Ji look up    
  On-line Resources
Other Courses Taught By: Ji