Papers
11,951 papers found
Neural Deep Equilibrium Solvers
Shaojie Bai, Vladlen Koltun, J Zico Kolter
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
Alexis Bellot, Kim Branson, Mihaela van der Schaar
Neural Link Prediction with Walk Pooling
Liming Pan, Cheng Shi, Ivan Dokmanić
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
Sung Woo Park, Kyungjae Lee, Junseok Kwon
Neural Methods for Logical Reasoning over Knowledge Graphs
Alfonso Amayuelas, Shuai Zhang, Xi Susie Rao et al.
Neural Models for Output-Space Invariance in Combinatorial Problems
Yatin Nandwani, Vidit Jain, Mausam . et al.
Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes
Panagiotis Misiakos, Georgios Smyrnis, George Retsinas et al.
Neural Networks as Kernel Learners: The Silent Alignment Effect
Alexander Atanasov, Blake Bordelon, Cengiz Pehlevan
Neural Parameter Allocation Search
Bryan A. Plummer, Nikoli Dryden, Julius Frost et al.
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Mingyu Kim, Kyeong Ryeol Go, Se-Young Yun
Neural Program Synthesis with Query
Di Huang, Rui Zhang, Xing Hu et al.
Neural Relational Inference with Node-Specific Information
Ershad Banijamali
Neural Solvers for Fast and Accurate Numerical Optimal Control
Federico Berto, Stefano Massaroli, Michael Poli et al.
Neural Spectral Marked Point Processes
Shixiang Zhu, Haoyun Wang, Zheng Dong et al.
Neural Stochastic Dual Dynamic Programming
Hanjun Dai, Yuan Xue, Zia Syed et al.
Neural Structured Prediction for Inductive Node Classification
Meng Qu, Huiyu Cai, Jian Tang
Neural Variational Dropout Processes
Insu Jeon, Youngjin Park, Gunhee Kim
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Lucas Caccia, Rahaf Aljundi, Nader Asadi et al.
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh et al.
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning
Chun-Hao Chang, Rich Caruana, Anna Goldenberg
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Mikhail Galkin, Etienne Denis, Jiapeng Wu et al.
Noisy Feature Mixup
Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera et al.
Nonlinear ICA Using Volume-Preserving Transformations
Xiaojiang Yang, Yi Wang, Jiacheng Sun et al.
Non-Linear Operator Approximations for Initial Value Problems
Gaurav Gupta, Xiongye Xiao, Radu Balan et al.
Non-Parallel Text Style Transfer with Self-Parallel Supervision
Ruibo Liu, Chongyang Gao, Chenyan Jia et al.