Papers
Learning Active Camera for Multi-Object Navigation
Peihao Chen, Dongyu Ji, Kunyang Lin et al.
Learning and Covering Sums of Independent Random Variables with Unbounded Support
Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
Ravinder Bhattoo, Sayan Ranu, N M Anoop Krishnan
Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation
Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian
Learning-Augmented Algorithms for Online Linear and Semidefinite Programming
Elena Grigorescu, Young-San Lin, Sandeep Silwal et al.
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
Ruipeng Zhang, Chenning Yu, Jingkai Chen et al.
Learning Best Combination for Efficient N:M Sparsity
Yuxin Zhang, Mingbao Lin, ZhiHang Lin et al.
Learning Bipartite Graphs: Heavy Tails and Multiple Components
José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel Palomar
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
Yongqiang Chen, Yonggang Zhang, Yatao Bian et al.
Learning Chaotic Dynamics in Dissipative Systems
Zongyi Li, Miguel Liu-Schiaffini, Nikola Kovachki et al.
Learning Concept Credible Models for Mitigating Shortcuts
Jiaxuan Wang, Sarah Jabbour, Maggie Makar et al.
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
Junsheng Zhou, Baorui Ma, Yu-Shen Liu et al.
Learning Contrastive Embedding in Low-Dimensional Space
Shuo Chen, Chen Gong, Jun Li et al.
Learning Debiased Classifier with Biased Committee
Nayeong Kim, SEHYUN HWANG, Sungsoo Ahn et al.
Learning Deep Input-Output Stable Dynamics
Ryosuke Kojima, Yuji Okamoto
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization
Stefan Stojanov, Anh Thai, Zixuan Huang et al.
Learning Distinct and Representative Modes for Image Captioning
Qi Chen, Chaorui Deng, Qi Wu
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao, Zihan Ding
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
Saikiran Bulusu, Geethu Joseph, M. Cenk Gursoy et al.
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
Vladimir Kostic, Pietro Novelli, Andreas Maurer et al.
Learning dynamics of deep linear networks with multiple pathways
Jianghong Shi, Eric Shea-Brown, Michael Buice
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation
Zhiwei Hao, Jianyuan Guo, Ding Jia et al.
Learning Energy Networks with Generalized Fenchel-Young Losses
Mathieu Blondel, Felipe Llinares-Lopez, Robert Dadashi et al.
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation
Kounianhua Du, Weinan Zhang, Ruiwen Zhou et al.
Learning Equivariant Segmentation with Instance-Unique Querying
Wenguan Wang, James Liang, Dongfang Liu