Papers
11,015 papers found
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.
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
Lixu Wang, Shichao Xu, Ruiqi Xu et al.
No One Representation to Rule Them All: Overlapping Features of Training Methods
Raphael Gontijo-Lopes, Yann Dauphin, Ekin Dogus Cubuk
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
Chen Liang, Haoming Jiang, Simiao Zuo et al.
Normalization of Language Embeddings for Cross-Lingual Alignment
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh et al.
OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION
Qu Tang, Xiangyu Zhu, Zhen Lei et al.
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan, Yanchao Yang, Kaichun Mo et al.
Objects in Semantic Topology
Shuo Yang, Peize Sun, Yi Jiang et al.
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen et al.
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov, Ashvin Nair, Sergey Levine
Offline Reinforcement Learning with Value-based Episodic Memory
Xiaoteng Ma, Yiqin Yang, Hao Hu et al.
Omni-Dimensional Dynamic Convolution
Chao Li, Aojun Zhou, Anbang Yao
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Wensi Tang, Guodong Long, Lu Liu et al.