Papers
An And-Sum Circuit with Signed Edges That Is More Succinct than SDD
Ryoma Onaka, Kengo Nakamura, Masaaki Nishino et al.
An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them
Creston Brooks, Johannes Haubold, Charlie Cowen-Breen et al.
An Annotation Protocol for Diachronic Evaluation of Semantic Drift in Disability Sources
Nitisha Jain, Chiara Di Bonaventura, Albert Merono Penuela et al.
An Application-Agnostic Automatic Target Recognition System Using Vision Language Models
Anthony Palladino, Dana Gajewski, Abigail Aronica et al.
An Appraisal Theoretic Approach to Modelling Affect Flow in Conversation Corpora
Alok Debnath, Yvette Graham, Owen Conlan
An Appraisal Theoretic Approach to Modelling Affect Flow in Conversation Corpora
Alok Debnath, Yvette Graham, Owen Conlan
An Approach to Quantify Plans Robustness in Real-world Applications
Francesco Percassi, Sandra Castellanos-Paez, Romain Rombourg et al.
An Architecture Search Framework for Inference-Time Techniques
Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan et al.
AnaScore: Understanding Semantic Parallelism in Proportional Analogies
Liyan Wang, Haotong Wang, Yves Lepage
Anaselka at SemEval-2025 Task 9: Leveraging SVM and MNB for Detecting Food Hazard
Anwar Annas, Al Hafiz Siagian
Anaselka at SemEval-2025 Task 9: Leveraging SVM and MNB for Detecting Food Hazard
Anwar Annas, Al Hafiz Siagian
An Association-based Fusion Method for Speech Enhancement
Shijie Wang, Qian Guo, Lu Chen et al.
Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification.
Tung Thanh Le, Tri Minh Ngo, Trung Hieu Dang
Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification.
Tung Thanh Le, Tri Minh Ngo, Trung Hieu Dang
An Asymmetric Independence Model for Causal Discovery on Path Spaces
Georg Manten, Cecilia Casolo, Søren Wengel Mogensen et al.
An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale
Fabian Christian Spaeh, Atsushi Miyauchi
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models
Tong Xu, Simge Küçükyavuz, Ali Shojaie et al.
An Asynchronous Bundle Method for Distributed Learning Problems
Daniel Cederberg, Xuyang Wu, Stephen P. Boyd et al.
AnaToM: A Dataset Generation Framework for Evaluating Theory of Mind Reasoning Toward the Anatomy of Difficulty through Structurally Controlled Story Generation
Jundai Suzuki, Ryoma Ishigaki, Eisaku Maeda
AnaToM: A Dataset Generation Framework for Evaluating Theory of Mind Reasoning Toward the Anatomy of Difficulty through Structurally Controlled Story Generation
Jundai Suzuki, Ryoma Ishigaki, Eisaku Maeda
Anatomical Consistency and Adaptive Prior-informed Transformation for Multi-contrast MR Image Synthesis via Diffusion Model
Yejee Shin, Yeeun Lee, Hanbyol Jang et al.
Anatomical Graph-based Multilevel Distillation for Robust Alzheimer’s Disease Diagnosis with Missing Modalities
Fei Liu, Huabin Wang, Mohamed Hisham Jaward et al.
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection
Bin Pu, Liwen Wang, Jiewen Yang et al.
Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images
Ying Zhu, Bocheng Liang, Ningshu Li et al.