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575,626 papers

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent

Tobias Pielok, Bernd Bischl, David Rügamer

2025-06-05Variational Inference
Paper
Reliably detecting model failures in deployment without labels

Viet Nguyen, Changjian Shui, Vijay Giri, Siddarth Arya, Amol Verma et al.

2025-06-05
PaperCode
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs

Nicolas Lell, Ansgar Scherp

2025-06-05Representation LearningNode Classification
Paper
Tuning the Right Foundation Models is What you Need for Partial Label Learning

Kuang He, Wei Tang, Tong Wei, Min-Ling Zhang

2025-06-05Model SelectionPartial Label Learning
PaperCode
Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning

John Collins

2025-06-05
Paper
FPTQuant: Function-Preserving Transforms for LLM Quantization

Boris van Breugel, Yelysei Bondarenko, Paul Whatmough, Markus Nagel

2025-06-05Quantization
Paper
Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion

Han Wang, Ruoyun He, Guoguang Lao, Ting Liu, Hejiao Luo et al.

2025-06-05
PaperCode
Gaussian Process Diffeomorphic Statistical Shape Modelling Outperforms Angle-Based Methods for Assessment of Hip Dysplasia

Allen Paul, George Grammatopoulos, Adwaye Rambojun, Neill D. F. Campbell, Harinderjit S. Gill et al.

2025-06-05
Paper
There Was Never a Bottleneck in Concept Bottleneck Models

Antonio Almudévar, José Miguel Hernández-Lobato, Alfonso Ortega

2025-06-05
Paper
Aligning Multimodal Representations through an Information Bottleneck

Antonio Almudévar, José Miguel Hernández-Lobato, Sameer Khurana, Ricard Marxer, Alfonso Ortega et al.

2025-06-05Representation Learning
Paper
LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning

Zhen Hao Wong, Jingwen Deng, Runming He, Zirong Chen, Qijie You et al.

2025-06-05Mathematical ReasoningReinforcement Learningreinforcement-learning
PaperCode
Adaptive Preconditioners Trigger Loss Spikes in Adam

Zhiwei Bai, Zhangchen Zhou, Jiajie Zhao, Xiaolong Li, Zhiyu Li et al.

2025-06-05Attribute
Paper
Kernel $k$-Medoids as General Vector Quantization

Thore Gerlach, Sascha Mücke, Christian Bauckhage

2025-06-05QuantizationDensity Estimation
Paper
OpenGT: A Comprehensive Benchmark For Graph Transformers

Jiachen Tang, Zhonghao Wang, Sirui Chen, Sheng Zhou, Jiawei Chen et al.

2025-06-05Fairness
PaperCode
Log-Linear Attention

Han Guo, Songlin Yang, Tarushii Goel, Eric P. Xing, Tri Dao et al.

2025-06-05
Paper
Multi-Layer GRPO: Enhancing Reasoning and Self-Correction in Large Language Models

Fei Ding, Baiqiao Wang, Zijian Zeng, Youwei Wang

2025-06-05Mathematical Reasoning
Paper
Enhanced Drought Analysis in Bangladesh: A Machine Learning Approach for Severity Classification Using Satellite Data

Tonmoy Paul, Mrittika Devi Mati, Md. Mahmudul Islam

2025-06-05
Paper
The cost of ensembling: is it always worth combining?

Marco Zanotti

2025-06-05Ensemble LearningTime Series Forecasting
Paper
FedAPM: Federated Learning via ADMM with Partial Model Personalization

Shengkun Zhu, Feiteng Nie, Jinshan Zeng, Sheng Wang, Yuan Sun et al.

2025-06-05Federated Learning
PaperCode
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning

Wanfu Gao, Hanlin Pan, Qingqi Han, Kunpeng Liu

2025-06-05feature selectionMulti-Label Learning
Paper
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