影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
37.41/100
前 16.4%
全站排名 #10,577
发表论文10 篇
平均评分
年均产出3.3 篇/年
Gustavo Carneiro
研究方向
noisy label learning · breast image analysis · deep learning · CNNs · RNNs · medical image analysis · meta learning · few-shot learning
16
Learning to Defer on Anonymously Annotated Data
ICLR 2026Rejected
三作22
Identifiability in Noisy Label Learning: A Multinomial Mixture Modelling Approach
ICLR 2026Rejected
三作21
Fatigue-Aware Learning to Defer via Constrained Optimisation
ICLR 2026Withdrawn
通讯12
Beyond Uniformity: Sample and Frequency Meta Weighting for Post-Training Quantization of Diffusion Models
ICLR 2026Poster
5
AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning
ICLR 2026Withdrawn
通讯5
Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
ICLR 2026Withdrawn
4
Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models
ICLR 2026Withdrawn