firstbacksecondback
255 Results
|
Poster
|
Wed 16:30 |
Oracle-Efficient Differentially Private Learning with Public Data Adam Block · Mark Bun · Rathin Desai · Abhishek Shetty · Steven Wu |
|
|
Workshop
|
On the Transferability of Parameter-Efficient Continual Learning for Vision Transformers Leon Ackermann · Van-Linh Nguyen |
||
|
Poster
|
Wed 11:00 |
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity Dayou Yu · Minghao Li · Weishi Shi · Qi Yu |
|
|
Poster
|
Fri 11:00 |
Multi-Label Learning with Stronger Consistency Guarantees Anqi Mao · Mehryar Mohri · Yutao Zhong |
|
|
Poster
|
Wed 16:30 |
4-bit Shampoo for Memory-Efficient Network Training Sike Wang · Pan Zhou · Jia Li · Hua Huang |
|
|
Poster
|
Fri 11:00 |
Multi-Label Open Set Recognition Yibo Wang · Jun-Yi Hang · Min-Ling Zhang |
|
|
Poster
|
Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss Ximing Li · Silong Liang · Changchun Li · pengfei wang · Fangming Gu |
||
|
Poster
|
Fri 16:30 |
Soft-Label Integration for Robust Toxicity Classification Zelei Cheng · Xian Wu · Jiahao Yu · Shuo Han · Xin-Qiang Cai · Xinyu Xing |
|
|
Poster
|
Thu 16:30 |
Self-Labeling the Job Shop Scheduling Problem Andrea Corsini · Angelo Porrello · SIMONE CALDERARA · Mauro Dell'Amico |
|
|
Poster
|
Thu 16:30 |
Multi-Instance Partial-Label Learning with Margin Adjustment Wei Tang · Yin-Fang Yang · Zhaofei Wang · Weijia Zhang · Min-Ling Zhang |
|
|
Poster
|
Wed 16:30 |
What Makes Partial-Label Learning Algorithms Effective? Jiaqi Lv · Yangfan Liu · Shiyu Xia · Ning Xu · Miao Xu · Gang Niu · Min-Ling Zhang · Masashi Sugiyama · Xin Geng |
|
|
Poster
|
Thu 11:00 |
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning Shengjie Niu · Lifan Lin · Jian Huang · Chao Wang |