Papers
On the Power of Convolution-Augmented Transformer
Mingchen Li, Xuechen Zhang, Yixiao Huang et al.
On the Power of Randomization for Obviously Strategy-Proof Mechanisms
Shiri Ron, Daniel Schoepflin
On the Power of Strategic Corpus Enrichment in Content Creation Games
Haya Nachimovsky, Moshe Tennenholtz
On the Relationship Between Monotone and Squared Probabilistic Circuits
Benjie Wang, Guy Van den Broeck
On the Robustness of Distributed Machine Learning Against Transfer Attacks
Sebastien Andreina, Pascal Zimmer, Ghassan Karame
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
Afrad Basheer, Yuan Feng, Christopher Ferrie et al.
OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning
Tingting Zheng, Kui Jiang, Hongxun Yao et al.
OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On
Yuhao Xu, Tao Gu, Weifeng Chen et al.
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
Lucio La Cava, Andrea Tagarelli
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
Xiao Shen, Zhihao Chen, Shirui Pan et al.
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
Thai-Hoang Pham, Yuanlong Wang, Changchang Yin et al.
OpenViewer: Openness-Aware Multi-View Learning
Shide Du, Zihan Fang, Yanchao Tan et al.
OpenVIS: Open-vocabulary Video Instance Segmentation
Pinxue Guo, Hao Huang, Peiyang He et al.
Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning
Zehua Han, Jing Xiao, Qirui Zhao et al.
Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents
Jessica Woodgate, Paul Marshall, Nirav Ajmeri
Optimal and Efficient Binary Questioning for Accelerated Annotation
Franco Marchesoni-Acland, Jean-Michel Morel, Josselin Kherroubi et al.
Optimal Auction Design for Mixed Bidders
Xiaohui Bei, Pinyan Lu, Zhiqi Wang et al.
Optimal Bounds for Dissatisfaction in Perpetual Voting
Alexander Kozachinskiy, Alexander Shen, Tomasz Steifer
Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound
Cătălin E. Brița, Jacobus G. M. van der Linden, Emir Demirović
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
Mingquan Feng, Zhijie Chen, Yixin Huang et al.
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
Johan Peralez, Aurélien Delage, Jacopo Castellini et al.
Optimising Spatial Teamwork Under Uncertainty
Gregory Everett, Ryan J. Beal, Tim Matthews et al.
Optimized Gradient Clipping for Noisy Label Learning
Xichen Ye, Yifan Wu, Weizhong Zhang et al.