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Poster
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Tue 2:30 |
MAML is a Noisy Contrastive Learner in Classification Chia-Hsiang Kao · Wei-Chen Chiu · Pin-Yu Chen |
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Poster
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Tue 10:30 |
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings Dhruvesh Patel · Pavitra Dangati · Jay-Yoon Lee · Michael Boratko · Andrew McCallum |
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Spotlight
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Thu 2:30 |
Omni-Dimensional Dynamic Convolution Chao Li · Aojun Zhou · Anbang Yao |
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Poster
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Thu 18:30 |
Improving the Accuracy of Learning Example Weights for Imbalance Classification Yuqi Liu · Bin Cao · JING FAN |
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Poster
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Wed 10:30 |
SphereFace2: Binary Classification is All You Need for Deep Face Recognition Yandong Wen · Weiyang Liu · Adrian Weller · Bhiksha Raj · Rita Singh |
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Poster
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Tue 10:30 |
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang · Clayton Scott |
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Poster
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Mon 10:30 |
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao · Wei Jin · Leman Akoglu · Neil Shah |
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Poster
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Mon 18:30 |
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu · Yulei Niu · Chunyan Miao · Xian-Sheng Hua · Hanwang Zhang |
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Poster
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Thu 10:30 |
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen · Wei-Lun Chao |
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Poster
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Mon 10:30 |
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards Xingyu Cai · Jiahong Yuan · Yuchen Bian · Guangxu Xun · Jiaji Huang · Kenneth Church |
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Poster
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Wed 2:30 |
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions Zhaoqi Leng · Mingxing Tan · Chenxi Liu · Ekin Cubuk · Jay Shi · Shuyang Cheng · Dragomir Anguelov |
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Poster
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Tue 10:30 |
Feature Kernel Distillation Bobby He · Mete Ozay |