Papers
10,599 papers found
Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval
Haipeng Chen, Yu Liu, Xun Yang et al.
FedMerge: Federated Model Merging for Personalization
Shutong Chen, Tianyi Zhou, Guodong Long et al.
Linear Time Algorithms for Individually Fair k-means via Multi-Swap Local Search
Beirong Cui, Qilong Feng, Junyu Huang
Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing
Ziyu Fan, Zhijian Huang, Yahan Li et al.
Statistical Learning Theory for Distributional Classification
Christian Fiedler
MARE: Multimodal Analogical Reasoning for Disease Evolution-Aware Radiology Report Generation
Qingqing Gao, Tengfei Liu, Xiaoyan Li et al.
Rethinking Membership Inference Attacks for CLIP
Lluis Gomez
Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation
Qian Hong, Cheng Bian, Xiao Zhou et al.
Denoising Mixup for Regression
Zhengzhang Hou, Zhanshan Li, Yanbo Liu et al.
Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs
Jiayu Hu, Beibei Li, Jiangwei Xia et al.
Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models
Wentao Hu, Mingkuan Zhao, Shuangyong Song et al.
An Information Theoretic Evaluation Metric for Strong Unlearning
Dongjae Jeon, Wonje Jeung, Taeheon Kim et al.
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
Brandon Knutson, Amandin Chyba Rabeendran, Michael Ivanitskiy et al.
Probabilistic Hash Embeddings for Online Learning of Categorical Features
Aodong Li, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy
UniSketch: A Unified Framework for Parametric Sketch Generation and Constraint Prediction
Jing Lin, Fazhi He, Rubin Fan
Conformal Prediction Meets Long-tail Classification
Shuqi Liu, Jianguo Huang, Luke Ong
Scaling Law for Large Wireless Models
Ziheng Liu, Jiayi Zhang, Haoyu Wang et al.
Quantum Algorithms for Spectral Sums
Alessandro Luongo, Changpeng Shao
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
Xinpeng Lv, Chunyuan Zheng, Yunxin Mao et al.
Provably Data-Driven Projection Method for Quadratic Programming
Anh Tuan Nguyen, Viet Anh Nguyen
Computing Probabilistic Explanations for ML Models: Fixed-Parameter Algorithms
Sebastian Ordyniak, Mateusz Rychlicki, Stefan Szeider
Policy Newton Methods for Distortion Riskmetrics
Soumen Pachal, Mizhaan Prajit Maniyar, Prashanth L. A.
How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts
Sumin Park, Noseong Park
LexInstructEval: Lexical Instruction Following Evaluation for Large Language Models
Huimin Ren, Yan Liang, Baiqiao Su et al.
Logical Characterizations of GNNs with Mean Aggregation
Moritz Schönherr, Carsten Lutz