Papers
A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing
Zhihua Cui, Shiwu Sun, Qian Guo et al.
A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
Yeqi Gao, Zhao Song, Weixin Wang et al.
AfD-CCC: Analyzing the Climate Change Discourse of a German Right-wing Political Party
Manfred Stede, Ronja Memminger
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities
Haotian Ye, Axel Wisiorek, Antonis Maronikolakis et al.
A Federated Framework for LLM-based Recommendation
Jujia Zhao, Wenjie Wang, Chen Xu et al.
AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models
Zheng Lian, Haoyu Chen, Lan Chen et al.
Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
Yikang Li, Yeqing Qiu, Yuxuan Chen et al.
AffinityFlow: Guided Flows for Antibody Affinity Maturation
Can Chen, Karla-Luise Herpoldt, Chenchao Zhao et al.
AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations
Yukun Zhang, Guisheng Wang, William Henry Nailon et al.
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting
Yuhan Wu, Xiyu Meng, Huajin Hu et al.
Affordances-Oriented Planning Using Foundation Models for Continuous Vision-Language Navigation
Jiaqi Chen, Bingqian Lin, Xinmin Liu et al.
AffordDexGrasp: Open-set Language-guided Dexterous Grasp with Generalizable-Instructive Affordance
Yi-Lin Wei, Mu Lin, Yuhao Lin et al.
AffordDP: Generalizable Diffusion Policy with Transferable Affordance
Shijie Wu, Yihang Zhu, Yunao Huang et al.
A Fine-grained Characterization of PAC Learnability
Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi et al.
A Fine-Grained Complexity View on Propositional Abduction - Algorithms and Lower Bounds
Victor Lagerkvist, Mohamed Maizia, Johannes Schmidt
A Finite-State Controller Based Offline Solver for Deterministic POMDPs
Alex Schutz, Yang You, Matías Mattamala et al.
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
Yihang Liu, Lianghua He, Ying Wen et al.
A First-order Generative Bilevel Optimization Framework for Diffusion Models
Quan Xiao, Hui Yuan, A F M Saif et al.
A Flag Decomposition for Hierarchical Datasets
Nathan Mankovich, Ignacio Santamaria, Gustau Camps-Valls et al.
A Flash in the Pan: Better Prompting Strategies to Deploy Out-of-the-Box LLMs as Conversational Recommendation Systems
Gustavo Adolpho Lucas de Carvalho, Simon Benigeri, Jennifer Healey et al.
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
Run He, Kai Tong, Di Fang et al.
A flexible deep learning framework for survival analysis with medical data
Gabriele Campanella, Ida Häggström, Lucas Kook et al.