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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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teaching:ss2019:dltheory_ss19 [2019/02/13 16:22]
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teaching:ss2019:dltheory_ss19 [2019/04/23 14:59] (current)
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 Seminar for computer science master students (IN2107). Seminar for computer science master students (IN2107).
  
-<html><font color=red><b>Initial meeting: April 24, 12pm-2pm, room 02.09.023</b></font></html>+**Note to interested students:** There was a lot of interest in the seminar through the matching platform. However, most of you did not send an e-mail demonstrating prerequisites. 
 +As stated in the pre-meeting and on this website, preference is given to students who showed prior exposure to the prerequisites. 
 + 
 +<html><font color=red><b>Initial meeting: April 24, 4.15pm-5.45pm, room 02.09.023</b></font></html> 
 + 
 +<html><font color=red><b>Update (April 12): Due to room constraints, the time of the initial meeting had to be shifted to 4-6pm</b></font></html> 
 + 
 +<html><font color=red><b>Update (Feb 18): The block seminar week is fixed to June 3 - June 7, 6-8pm, room 02.09.023</b></font></html>
  
 ==== Description ==== ==== Description ====
 Modern deep learning methods have shown remarkable success in various domains of machine learning. However, our theoretical understanding of such methods remains rather shallow. Recently, novel ideas to better understand aspects of optimization and generalization in these models have emerged that require rethinking classical concepts in these domains. A prominent example is the implicit bias of optimization methods in an overparameterized regime. We will discuss such ideas from the computational and statistical viewpoint. Modern deep learning methods have shown remarkable success in various domains of machine learning. However, our theoretical understanding of such methods remains rather shallow. Recently, novel ideas to better understand aspects of optimization and generalization in these models have emerged that require rethinking classical concepts in these domains. A prominent example is the implicit bias of optimization methods in an overparameterized regime. We will discuss such ideas from the computational and statistical viewpoint.
  
 +==== Material and Schedule ==== 
 +Seminar material and the schedule can be accessed [[teaching:ss2019:dltheory_ss19:internal|here]].
 ==== Organization ==== ==== Organization ====
  
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 == Block Seminar Week == == Block Seminar Week ==
-  * We will hold a one-week block seminar, tentatively the week May 27 May 31, 6-8pm. "Tentatively" means plus/minus one week as this one contains a holiday and we are currently organizing of whether this makes senseFurther details in the pre-meeting. +  * We will hold a one-week block seminar, June 3 June 7, 6-8pm. Room: 02.09.023
   * This way the seminar does not conflict with the exam period and the evening times hopefully avoid conflicts with other lectures.   * This way the seminar does not conflict with the exam period and the evening times hopefully avoid conflicts with other lectures.
   * All talks are held in English.   * All talks are held in English.

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More