Papers
On the Complexity of Inductively Learning Guarded Clauses
Andrei Draghici, Georg Gottlob, Matthias Lanzinger
On the Computation of Necessary and Sufficient Explanations
Adnan Darwiche, Chunxi Ji
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals
Haizhou Shi, Youcai Zhang, Siliang Tang et al.
On the Fairness of Causal Algorithmic Recourse
Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt et al.
On the Impact of Spurious Correlation for Out-of-Distribution Detection
Yifei Ming, Hang Yin, Yixuan Li
On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints
Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida et al.
On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method
S. Indrapriyadarsini, Hiroshi Ninomiya, Takeshi Kamio et al.
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract)
Agnieszka Słowik, Léon Bottou, Sean B. Holden et al.
On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets
Cheng-Han Chiang, Hung-yi Lee
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen et al.
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression
Linfeng Cao, Aofan Jiang, Wei Li et al.
Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification
Zhenhailong Wang, Heng Ji
Operator-Potential Heuristics for Symbolic Search
Daniel Fišer, Álvaro Torralba, Jörg Hoffmann
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction
Marc Rigter, Danial Dervovic, Parisa Hassanzadeh et al.
Optimal Local Explainer Aggregation for Interpretable Prediction
Qiaomei Li, Rachel Cummings, Yonatan Mintz
Optimal Sampling Gaps for Adaptive Submodular Maximization
Shaojie Tang, Jing Yuan
Optimal Tensor Transport
Tanguy Kerdoncuff, Rémi Emonet, Michael Perrot et al.
Optimistic Initialization for Exploration in Continuous Control
Sam Lobel, Omer Gottesman, Cameron Allen et al.
Optimization for Classical Machine Learning Problems on the GPU
Sören Laue, Mark Blacher, Joachim Giesen
Optimized Potential Initialization for Low-Latency Spiking Neural Networks
Tong Bu, Jianhao Ding, Zhaofei Yu et al.
Optimizing Binary Decision Diagrams with MaxSAT for Classification
Hao Hu, Marie-José Huguet, Mohamed Siala
Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)
Songwei Shan, Qi Tan, Yiu Chung Lau et al.
Orthogonal Graph Neural Networks
Kai Guo, Kaixiong Zhou, Xia Hu et al.
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing
Bing Han, Cheng Wang, Kaushik Roy