transdermal
发表于 2025-3-28 17:45:40
Counterfactual Contrastive Learning for Fine Grained Image Classificationse approaches typically fall short in addressing the deeper causal relationships that underlie the visible features, leading to potential biases and limited generalizability. This paper presents a fine-grained causal contrastive network (FCCN), a novel architecture that integrates causal inference w
HARP
发表于 2025-3-28 22:37:11
http://reply.papertrans.cn/17/1677/167614/167614_42.png
独轮车
发表于 2025-3-29 02:34:57
http://reply.papertrans.cn/17/1677/167614/167614_43.png
Overdose
发表于 2025-3-29 06:40:02
Generally-Occurring Model Change for Robust Counterfactual Explanationsng. Counterfactual explanation is an important method in the field of interpretable machine learning, which can not only help users understand why machine learning models make specific decisions, but also help users understand how to change these decisions. Naturally, it is an important task to stud
有害处
发表于 2025-3-29 08:33:33
Model Based Clustering of Time Series Utilizing Expert ODEsrs in the parameter space (. healthy vs. diseased patients). The problem of identifying these clusters and that of identifying the model parameters are tightly coupled. In this work, we propose a novel model-based clustering method that makes it possible to utilize expert knowledge in the form of pa
Audiometry
发表于 2025-3-29 14:22:17
Conference proceedings 2024ne Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024...The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: ..Part I - theory of neural networks and machin
Pessary
发表于 2025-3-29 19:34:03
http://reply.papertrans.cn/17/1677/167614/167614_47.png
Nostalgia
发表于 2025-3-29 22:02:09
http://reply.papertrans.cn/17/1677/167614/167614_48.png
音乐等
发表于 2025-3-30 01:21:02
A Multiscale Resonant Spiking Neural Network for Music Classificatione proposed the Multiscale Resonance SNN model that can comprehensively utilize the rich musical temporal information. With only binary activated neurons and sparse information flows, our model have achieved comparable music classification performance in various datasets.
RUPT
发表于 2025-3-30 06:39:12
Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositiopolate sequences of items from the given repertoire. We demonstrate how this framework can be used to make the solver robust to exponentially growing complexity of the given task by reducing its dimensionality.