Papers
Learning Only When It Matters: Cost-Aware Long-Tailed Classification
Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye et al.
Learning Optimal Advantage from Preferences and Mistaking It for Reward
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur Orn Adalgeirsson et al.
Learning Performance Maximizing Ensembles with Explainability Guarantees
Vincent Pisztora, Jia Li
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
Dexu Kong, Anping Zhang, Yang Li
Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis
Pascal Bachor, Gregor Behnke
Learning Random Noise Salient Feature Fusion Siamese Network for Low-Resolution Object Tracking (Student Abstract)
Md Maklachur Rahman, Tracy Hammond
Learning Real-World Image De-weathering with Imperfect Supervision
Xiaohui Liu, Zhilu Zhang, Xiaohe Wu et al.
Learning Reduced Fluid Dynamics
Zherong Pan, Xifeng Gao, Kui Wu
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning
Nicolas Michel, Giovanni Chierchia, Romain Negrel et al.
Learning Safe Action Models with Partial Observability
Hai S. Le, Brendan Juba, Roni Stern
Learning Small Decision Trees for Data of Low Rank-Width
Konrad K. Dabrowski, Eduard Eiben, Sebastian Ordyniak et al.
Learning Small Decision Trees with Few Outliers: A Parameterized Perspective
Harmender Gahlawat, Meirav Zehavi
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation
Jason Chun Lok Li, Chang Liu, Binxiao Huang et al.
Learning Subject-Aware Cropping by Outpainting Professional Photos
James Hong, Lu Yuan, Michaël Gharbi et al.
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
Hongquan Zhang, Bin-Bin Gao, Yi Zeng et al.
Learning Temporal Resolution in Spectrogram for Audio Classification
Haohe Liu, Xubo Liu, Qiuqiang Kong et al.
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise
Augusto Santos, Diogo Rente, Rui Seabra et al.
Learning the Topology and Behavior of Discrete Dynamical Systems
Zirou Qiu, Abhijin Adiga, Madhav V. Marathe et al.
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
Tianhao Huang, Xuan Pan, Xiangrui Cai et al.
Learning to Approximate Adaptive Kernel Convolution on Graphs
Jaeyoon Sim, Sooyeon Jeon, InJun Choi et al.
Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract)
William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi
Learning to Learn Better Visual Prompts
Fengxiang Wang, Wanrong Huang, Shaowu Yang et al.