firstbacksecondback
24 Results
|
Workshop
|
A Joint Training-Calibration Framework for Test-Time Personalization with Label Distribution Shift in Federated Learning Jian Xu · Shao-Lun Huang |
||
|
Workshop
|
A Head Start Matters: Dynamic-Calibrated Representation Alignment and Uniformity for Recommendations Zhongyu Ouyang · Shifu Hou · Chunhui Zhang · Chuxu Zhang · Yanfang Ye |
||
|
Poster
|
Tue 17:00 |
Scaling of Class-wise Training Losses for Post-hoc Calibration Seungjin Jung · Seungmo Seo · Yonghyun Jeong · Jongwon Choi |
|
|
Poster
|
Wed 17:00 |
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression Victor Dheur · Souhaib Ben Taieb |
|
|
Poster
|
Wed 17:00 |
Dual Focal Loss for Calibration Linwei Tao · Minjing Dong · Chang Xu |
|
|
Poster
|
Wed 14:00 |
Calibrating Multimodal Learning Huan Ma · Qingyang Zhang · Changqing Zhang · Bingzhe Wu · Huazhu Fu · Joey Tianyi Zhou · Qinghua Hu |
|
|
Poster
|
Thu 16:30 |
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani · Futa Waseda · Yuesong Shen · Daniel Cremers |
|
|
Workshop
|
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto · Yuexiang Zhai · Anikait Singh · Max Sobol Mark · Yi Ma · Chelsea Finn · Aviral Kumar · Sergey Levine |
||
|
Workshop
|
Mental Calibration: Discovering and Adjusting for Latent Factors Improves Zero-Shot Inference of CLIP Bang An · Sicheng Zhu · Michael-Andrei Panaitescu-Liess · Chaithanya Kumar Mummadi · Furong Huang |
||
|
Workshop
|
Impact of Noise on Calibration and Generalisation of Neural Networks Martin Ferianc · Ondrej Bohdal · Timothy Hospedales · Miguel Rodrigues |
||
|
Workshop
|
Modeled Cognitive Feedback to Calibrate Uncertainty for Interactive Learning Jaelle Scheuerman · Zachary Bishof · Chris Michael |
||
|
Workshop
|
Human-Aligned Calibration for AI-Assisted Decision Making Nina Corvelo Benz · Manuel Gomez-Rodriguez |