2024 Poster "model calibration" Papers
11 papers found
An Empirical Study Into What Matters for Calibrating Vision-Language Models
Weijie Tu, Weijian Deng, Dylan Campbell et al.
ICML 2024posterarXiv:2402.07417
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
Shi-ang Qi, Yakun Yu, Russell Greiner
ICML 2024posterarXiv:2405.07374
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
Hongyi Peng, Han Yu, Xiaoli Tang et al.
ICML 2024posterarXiv:2405.15458
How Flawed Is ECE? An Analysis via Logit Smoothing
Muthu Chidambaram, Holden Lee, Colin McSwiggen et al.
ICML 2024posterarXiv:2402.10046
IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
Taejong Joo, Diego Klabjan
ICML 2024posterarXiv:2310.10611
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
Dapeng Hu, Jian Liang, Xinchao Wang et al.
ICML 2024poster
Reliability in Semantic Segmentation: Can We Use Synthetic Data?
Thibaut Loiseau, Tuan Hung Vu, Mickael Chen et al.
ECCV 2024posterarXiv:2312.09231
22
citations
Revisit the Essence of Distilling Knowledge through Calibration
Wen-Shu Fan, Su Lu, Xin-Chun Li et al.
ICML 2024poster
Robust Calibration of Large Vision-Language Adapters
Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed et al.
ECCV 2024posterarXiv:2407.13588
22
citations
The Entropy Enigma: Success and Failure of Entropy Minimization
Ori Press, Ravid Shwartz-Ziv, Yann LeCun et al.
ICML 2024posterarXiv:2405.05012
Thermometer: Towards Universal Calibration for Large Language Models
Maohao Shen, Subhro Das, Kristjan Greenewald et al.
ICML 2024posterarXiv:2403.08819