Papers
11,015 papers found
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
Yash Mehta, Colin White, Arber Zela et al.
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
Yao Shu, Shaofeng Cai, Zhongxiang Dai et al.
NASPY: Automated Extraction of Automated Machine Learning Models
Xiaoxuan Lou, Shangwei Guo, Jiwei Li et al.
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training
Chengyue Gong, Dilin Wang, Meng Li et al.
Natural Language Descriptions of Deep Visual Features
Evan Hernandez, Sarah Schwettmann, David Bau et al.
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
Bertrand Charpentier, Oliver Borchert, Daniel Zügner et al.
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
Ming Yin, Yaqi Duan, Mengdi Wang et al.
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver
Xiaoyu Chen, Jiachen Hu, Lin Yang et al.
Network Augmentation for Tiny Deep Learning
Han Cai, Chuang Gan, Ji Lin et al.
NETWORK INSENSITIVITY TO PARAMETER NOISE VIA PARAMETER ATTACK DURING TRAINING
Julian Büchel, Fynn Firouz Faber, Dylan Richard Muir
NeuPL: Neural Population Learning
Siqi Liu, Luke Marris, Daniel Hennes et al.
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
X.Y. Han, Vardan Papyan, David L. Donoho
Neural Contextual Bandits with Deep Representation and Shallow Exploration
Pan Xu, Zheng Wen, Handong Zhao et al.
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