Papers
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
Mustafa B Gurbuz, Constantine Dovrolis
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
Xingcheng Yao, Yanan Zheng, Xiaocong Yang et al.
NOMU: Neural Optimization-based Model Uncertainty
Jakob M Heiss, Jakob Weissteiner, Hanna S Wutte et al.
(Non-)Convergence Results for Predictive Coding Networks
Simon Frieder, Thomas Lukasiewicz
Nonlinear Feature Diffusion on Hypergraphs
Konstantin Prokopchik, Austin R Benson, Francesco Tudisco
Nonparametric Embeddings of Sparse High-Order Interaction Events
Zheng Wang, Yiming Xu, Conor Tillinghast et al.
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang, Shandian Zhe
Nonparametric Involutive Markov Chain Monte Carlo
Carol Mak, Fabian Zaiser, Luke Ong
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast, Zheng Wang, Shandian Zhe
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
Felix Biggs, Benjamin Guedj
No-Regret Learning in Partially-Informed Auctions
Wenshuo Guo, Michael Jordan, Ellen Vitercik
No-Regret Learning in Time-Varying Zero-Sum Games
Mengxiao Zhang, Peng Zhao, Haipeng Luo et al.
Not All Poisons are Created Equal: Robust Training against Data Poisoning
Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
Qingyang Tan, Zherong Pan, Breannan Smith et al.
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti et al.
NysADMM: faster composite convex optimization via low-rank approximation
Shipu Zhao, Zachary Frangella, Madeleine Udell
Nyström Kernel Mean Embeddings
Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco et al.
Object Permanence Emerges in a Random Walk along Memory
Pavel Tokmakov, Allan Jabri, Jie Li et al.
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Peng Wang, An Yang, Rui Men et al.
Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr H Pong, Ashvin V Nair, Laura M Smith et al.
Offline RL Policies Should Be Trained to be Adaptive
Dibya Ghosh, Anurag Ajay, Pulkit Agrawal et al.
Off-Policy Evaluation for Large Action Spaces via Embeddings
Yuta Saito, Thorsten Joachims
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni et al.
Off-Policy Reinforcement Learning with Delayed Rewards
Beining Han, Zhizhou Ren, Zuofan Wu et al.
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
Ling Yang, Shenda Hong