Oral

Lifelong Machine Learning With Deep Streaming Linear Discriminant Analysis

Tyler L. Hayes, Christopher Kanan

Dropout as an Implicit Gating Mechanism for Continual Learning

Seyed Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh

Poster

Cognitively-Inspired Model for Incremental Learning Using a Few Examples

Ali Ayub, Alan R. Wagner

Continual Learning of Object Instances

Kishan Parshotam, Mert Kilickaya

Adaptive Group Sparse Regularization for Continual Learning

Sangwon Jung, Hongjoon Ahn, Sungmin Cha, and Taesup Moon

A Simple Class Decision Balancing for Incremental Learning

Hongjoon Ahn and Taesup Moon

Generative Feature Replay for Class-Incremental Learning

Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer

Stream-51: Streaming Classification and Novelty Detection From Videos

Ryne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan

CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition

Zhengwei Wang, Qi She, Tejo Chalasani, Aljosa Smolic

What Is Happening Inside a Continual Learning Model? A Representation-Based Evaluation of Representational Forgetting

Kengo Murata, Tetsuya Toyota, Kouzou Ohara

M2SGD: Learning to Learn Important Weights

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

Few-Shot Image Recognition for UAV Sports Cinematography

Emmanouil Patsiouras, Anastasios Tefas, Ioannis Pitas

Generalized Class Incremental Learning

Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings

Adversarial Continual Learning - Extended Abstract

Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning

Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam Laradji, Irina Rish, Alexande Lacoste, David Vazquez, Laurent Charlin

StackNet: Stacking Feature Maps for Continual Learning

Jangho Kim, Jeesoo Kim, Nojun Kwak

Noise-Based Selection of Robust Inherited Model for Accurate Continual Learning

Xiaocong Du, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao

Rehearsal-Free Continual Learning Over Small Non-I.I.D. Batches

Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini

Continual Reinforcement Learning in 3D Non-Stationary Environments

Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni

Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors

Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogerio Feris

Reducing Catastrophic Forgetting With Learning on Synthetic Data

Wojciech Masarczyk, Ivona Tautkute

Continual Learning for Anomaly Detection in Surveillance Videos

Keval Doshi, Yasin Yilmaz

Generating Accurate Pseudo Examples for Continual Learning

Daniel L. Silver, Sazia Mahfuz