Papers
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers
Melissa Dell, Jacob Carlson, Tom Bryan et al.
A Metadata-Driven Approach to Understand Graph Neural Networks
Ting Wei Li, Qiaozhu Mei, Jiaqi Ma
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
Kevin Course, Prasanth Nair
(Amplified) Banded Matrix Factorization: A unified approach to private training
Christopher A. Choquette-Choo, Arun Ganesh, Ryan McKenna et al.
A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal Relationship
Shiyu Hu, Dailing Zhang, wu meiqi et al.
An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
Marc Jourdan, Rémy Degenne, Emilie Kaufmann
An active learning framework for multi-group mean estimation
Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub
An Adaptive Algorithm for Learning with Unknown Distribution Drift
Alessio Mazzetto, Eli Upfal
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
Quan Xiao, Songtao Lu, Tianyi Chen
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
Yudong Luo, Guiliang Liu, Pascal Poupart et al.
Analysis of Variance of Multiple Causal Networks
Zhongli Jiang, Dabao Zhang
Analyzing Generalization of Neural Networks through Loss Path Kernels
Yilan Chen, Wei Huang, Hao Wang et al.
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
Tobit Klug, Dogukan Atik, Reinhard Heckel
Analyzing Vision Transformers for Image Classification in Class Embedding Space
Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig
Anchor Data Augmentation
Nora Schneider, Shirin Goshtasbpour, Fernando Perez-Cruz
AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution
Fangzhou Luo, Xiaolin Wu, Yanhui Guo
AndroidInTheWild: A Large-Scale Dataset For Android Device Control
Christopher Rawles, Alice Li, Daniel Rodriguez et al.
An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint
Mengzhao Wang, Lingwei Lv, Xiaoliang Xu et al.
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning
Enneng Yang, Li Shen, Zhenyi Wang et al.
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
Diego Martinez Taboada, Aaditya Ramdas, Edward Kennedy
An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination
Xue Yan, Jiaxian Guo, Xingzhou Lou et al.
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
Haoran Yang, Xiangyu Zhao, Yicong Li et al.
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
Emile van Krieken, Thiviyan Thanapalasingam, Jakub Tomczak et al.
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
Zhaocheng Zhu, Xinyu Yuan, Michael Galkin et al.
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
Vignesh Kothapalli, Tom Tirer, Joan Bruna