Papers
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability
Thomy Phan, Fabian Ritz, Philipp Altmann et al.
Attributing Image Generative Models using Latent Fingerprints
Guangyu Nie, Changhoon Kim, Yezhou Yang et al.
A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
Nicholas Rittler, Kamalika Chaudhuri
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
Haohe Liu, Zehua Chen, Yi Yuan et al.
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
Shentong Mo, Pedro Morgado
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
Haiyan Jiang, Srinivas Anumasa, Giulia De Masi et al.
A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions
Daniel Lundstrom, Meisam Razaviyayn
A Universal Unbiased Method for Classification from Aggregate Observations
Zixi Wei, Lei Feng, Bo Han et al.
AutoCoreset: An Automatic Practical Coreset Construction Framework
Alaa Maalouf, Murad Tukan, Vladimir Braverman et al.
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang, Zhimin Ding, Dimitrije Jankov et al.
Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences
Ofir Razon, Yoav Harris, Shahar Gottlieb et al.
Automatically Auditing Large Language Models via Discrete Optimization
Erik Jones, Anca Dragan, Aditi Raghunathan et al.
Automatically marginalized MCMC in probabilistic programming
Jinlin Lai, Javier Burroni, Hui Guan et al.
Automatic Data Augmentation via Invariance-Constrained Learning
Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
Mingqi Yuan, Bo Li, Xin Jin et al.
Autoregressive Diffusion Model for Graph Generation
Lingkai Kong, Jiaming Cui, Haotian Sun et al.
Auxiliary Learning as an Asymmetric Bargaining Game
Aviv Shamsian, Aviv Navon, Neta Glazer et al.
Auxiliary Modality Learning with Generalized Curriculum Distillation
Yu Shen, Xijun Wang, Peng Gao et al.
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Risheng Liu, Yaohua Liu, Wei Yao et al.
A Watermark for Large Language Models
John Kirchenbauer, Jonas Geiping, Yuxin Wen et al.
Bag of Tricks for Training Data Extraction from Language Models
Weichen Yu, Tianyu Pang, Qian Liu et al.
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
Zongqi Wan, Jialin Zhang, Wei Chen et al.
Bandit Online Linear Optimization with Hints and Queries
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar et al.
Bandits with Knapsacks: Advice on Time-Varying Demands
Lixing Lyu, Wang Chi Cheung