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Poster
Thu 14:00 Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
Sen Lin · Li Yang · Deliang Fan · Junshan Zhang
Poster
Less-forgetting Multi-lingual Fine-tuning
Yuren Mao · Yaobo Liang · Nan Duan · Haobo Wang · Kai Wang · Lu Chen · Yunjun Gao
Poster
Wed 9:00 Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
Kien Do · Thai Hung Le · Dung Nguyen · Dang Nguyen · HARIPRIYA HARIKUMAR · Truyen Tran · Santu Rana · Svetha Venkatesh
Poster
Tue 14:00 Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Zekang Zhang · Guangyu Gao · Zhiyuan Fang · Jianbo Jiao · Yunchao Wei
Poster
Thu 14:00 The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
Jean Barbier · TianQi Hou · Marco Mondelli · Manuel Saenz
Poster
Tue 9:00 Few-Shot Continual Active Learning by a Robot
Ali Ayub · Carter Fendley
Poster
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling
Yizhao Gao · Nanyi Fei · Haoyu Lu · Zhiwu Lu · Hao Jiang · Yijie Li · Zhao Cao
Poster
Thu 14:00 Characterizing Datapoints via Second-Split Forgetting
Pratyush Maini · Saurabh Garg · Zachary Lipton · J. Zico Kolter
Workshop
Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control
Adam Parker · Michael Dawson · Patrick M Pilarski
Workshop
Forgetting Data from Pre-trained GANs
Zhifeng Kong · Kamalika Chaudhuri
Poster
Thu 9:00 On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
Tomasz Korbak · Hady Elsahar · Germ├ín Kruszewski · Marc Dymetman
Poster
Thu 9:00 Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
Alex Ororbia · Ankur Mali · C Lee Giles · Daniel Kifer