Papers
A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
Yongjian Deng, Hao Chen, Youfu Li
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
Xiaoming Hu, Zilei Wang
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis
Dongze Li, Kang Zhao, Wei Wang et al.
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer
Joonwoo Kwon, Sooyoung Kim, Yuewei Lin et al.
A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem
Lu Liu, Mingyu Xiao, Yi Zhou
A Fixed-Point Approach to Unified Prompt-Based Counting
Wei Lin, Antoni B. Chan
A Framework for Approaching AI Education in Educator Preparation Programs
Nancye Blair Black, Stacy George, Amy Eguchi et al.
A Framework for Data-Driven Explainability in Mathematical Optimization
Kevin-Martin Aigner, Marc Goerigk, Michael Hartisch et al.
A Framework for Mining Speech-to-Text Transcripts of the Customer for Automated Problem Remediation
Prateeti Mohapatra, Gargi Dasgupta
A General Implicit Framework for Fast NeRF Composition and Rendering
Xinyu Gao, Ziyi Yang, Yunlu Zhao et al.
A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration
Zakaria Mehrab, Logan Stundal, Srinivasan Venkatramanan et al.
A Generalized Neural Diffusion Framework on Graphs
Yibo Li, Xiao Wang, Hongrui Liu et al.
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)
Alexander Braylan, Madalyn Marabella, Omar Alonso et al.
A General Search-Based Framework for Generating Textual Counterfactual Explanations
Daniel Gilo, Shaul Markovitch
A General Theoretical Framework for Learning Smallest Interpretable Models
Sebastian Ordyniak, Giacomo Paesani, Mateusz Rychlicki et al.
Agile Multi-Source-Free Domain Adaptation
Xinyao Li, Jingjing Li, Fengling Li et al.
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Xuan Shen, Peiyan Dong, Lei Lu et al.
A Goal Interaction Graph Planning Framework for Conversational Recommendation
Xiaotong Zhang, Xuefang Jia, Han Liu et al.
A Graph Dynamics Prior for Relational Inference
Liming Pan, Cheng Shi, Ivan Dokmanic
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack
Ruikui Wang, Yuanfang Guo, Yunhong Wang
A Hierarchical Network for Multimodal Document-Level Relation Extraction
Lingxing Kong, Jiuliang Wang, Zheng Ma et al.
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
Yun Liao, Junfan Li, Shizhong Liao et al.
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
Puning Zhao, Fei Yu, Zhiguo Wan