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Poster
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S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning
Yabin Wang · Zhiwu Huang · Xiaopeng Hong
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Workshop
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Learning a Domain-Agnostic Policy through Adversarial Representation Matching for Cross-Domain Policy Transfer
Hayato Watahiki · Ryo Iwase · Ryosuke Unno · Yoshimasa Tsuruoka
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Affinity Workshop
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A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering
Yu Qin · Brittany Terese Fasy · Carola Wenk · Brian Summa
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Poster
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Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
Yixiong Zou · Shanghang Zhang · Yuhua Li · Ruixuan Li
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Poster
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Tue 14:00
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Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
Ashwinkumar Badanidiyuru Varadaraja · Zhe Feng · Tianxi Li · Haifeng Xu
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Poster
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Tue 9:00
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ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
Youngmin Oh · Donghyeon Baek · Bumsub Ham
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Competition
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Thu 4:50
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Transfer Learning Award: Team SI Analytics - Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
Yeji Choi
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Poster
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Wed 9:00
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On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Lorenzo Bonicelli · Matteo Boschini · Angelo Porrello · Concetto Spampinato · SIMONE CALDERARA
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Workshop
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PyTAIL - Interactive and Incremental Learning of NLP Models with Human in the Loop for Online Data
Shubhanshu Mishra · Jana Diesner
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Poster
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Tue 9:00
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Retrospective Adversarial Replay for Continual Learning
Lilly Kumari · Shengjie Wang · Tianyi Zhou · Jeff A Bilmes
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Workshop
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Incremental Fourier Neural Operator
Jiawei Zhao · Robert Joseph George · Yifei Zhang · Zongyi Li · Anima Anandkumar
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Poster
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Unsupervised Domain Adaptation for Semantic Segmentation using Depth Distribution
Quanliang Wu · Huajun Liu
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