The AAAI-21 First International Workshop on Meta-Learning for Computer Vision (MeL4CV)

Workshop Program

(All sessions will run as per EST Time Zone)

9:00 – 9:30 A.M.: Invited Speaker-1

Timothy Hospedales
 

Title: Meta-Learning: Representations and Objectives

 

9:30 - 9:45 A.M.: Paper Presentation-1

Learning Invariant Representation for Continual Learning
 

Ghada Sokar (Eindhoven University of Technology (TU/e))*; Decebal Constantin Mocanu (University of Twente); Mykola Pechenizkiy (TU Eindhoven)

9:45 – 10:15 A.M.: Invited Speaker-2

Joaquin Vanschoren
 

Title: Learning to reinforcement learn for Neural Architecture Search

 

10:15 - 10:30 A.M.: Paper Presentation-2

Task Conflict in Meta Learning for Few-Shot Segmentation
 

Geetank Raipuria (AIRAMATRIX PVT. LTD.); Nitin Singhal (AIRAMATRIX PVT. LTD.)

10:30 – 10:45 A.M.: Coffee Break

10:45 – 11:15 A.M.: Invited Speaker-3

Frank Hutter
 

Title: Towards Robust and Efficient Meta-Learning for AutoDL

 

11:15 - 11:30 P.M.: Paper Presentation-3

FSIL: Few-shot and Incremental Learning for Image Classification
 

Shivam Saboo (Intel Corporation); Anbumani Subramanian (Intel)

11:30 – 12:00 P.M.: Invited Speaker-4

Hien Van Nguyen
 

Title: Meta-Learning for Medical Image Analysis

 

12:00 – 1:15 P.M.: Lunch

1:15 – 1:45 P.M.: Invited Speaker-5

Rama Chellappa
 

Title: Meta-learning: Something Old and Something New

 

1:45 - 2:00 P.M.: Paper Presentation-4

Large Scale Neural Architecture Search with Polyharmonic Splines
 

Michele Merler (IBM Research)*; Ulrich Finkler (IBM Research); Rameswar Panda (MIT-IBM Watson AI Lab, IBM Research); Mayoore S Jaiswal (University of Washington ); Hui Wu (IBM Research); Kandan Ramakrishnan (IBM); Chun-Fu Richard Chen (MIT-IBM Watson AI Lab, IBM Research AI); Minsik Cho (Apple ); David Kung (IBM Research); Rogerio Feris (MIT-IBM Watson AI Lab, IBM Research); Bishwaranja Bhattacharjee (IBM Research)

2:00 – 2:30 P.M.: Invited Speaker-6

Ramesh Raskar
 

Title: AutoML and Crowdsourced Epidemiology for Covid-19

 

2:30 – 2:45 P.M.: Coffee Break

2:45 - 3:00 P.M.: Paper Presentation-5

Meta-Learning on Spectral Images of EEG of Schizophrenics
 

Maritza Tynes (WinAIML); Mah Parsa (University of Toronto)

3:00 – 3:30 P.M.: Invited Speaker-7

Walter Scheirer
 

Title: Representational Dissimilarity Analysis as a Tool for Neural Network Model Search

 

3:30 – 4:00 P.M.: Invited Speaker-8

Peter Tu
 

Title: Grounded Language Acquisition

 

4:00 P.M.: Closing