Papers
11,015 papers found
Near-Optimal Adversarial Reinforcement Learning with Switching Costs
Ming Shi, Yingbin Liang, Ness Shroff
Near-optimal Coresets for Robust Clustering
Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou et al.
Near-optimal Policy Identification in Active Reinforcement Learning
Xiang Li, Viraj Mehta, Johannes Kirschner et al.
NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs
Heewon Kim, Kyoung Mu Lee
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes
Zhiwen Fan, Peihao Wang, Yifan Jiang et al.
NeRN: Learning Neural Representations for Neural Networks
Maor Ashkenazi, Zohar Rimon, Ron Vainshtein et al.
Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication
Valentin Taillandier, Dieuwke Hupkes, Benoît Sagot et al.
Neural Architecture Design and Robustness: A Dataset
Steffen Jung, Jovita Lukasik, Margret Keuper
Neural-based classification rule learning for sequential data
Marine Collery, Philippe Bonnard, François Fages et al.
Neural Bregman Divergences for Distance Learning
Fred Lu, Edward Raff, Francis Ferraro
Neural Causal Models for Counterfactual Identification and Estimation
Kevin Muyuan Xia, Yushu Pan, Elias Bareinboim
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning
Yibo Yang, Haobo Yuan, Xiangtai Li et al.
Neural Compositional Rule Learning for Knowledge Graph Reasoning
Kewei Cheng, Nesreen Ahmed, Yizhou Sun
Neural DAG Scheduling via One-Shot Priority Sampling
Wonseok Jeon, Mukul Gagrani, Burak Bartan et al.
Neural Design for Genetic Perturbation Experiments
Aldo Pacchiano, Drausin Wulsin, Robert A Barton et al.
Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks
Lingshen He, Yuxuan Chen, Zhengyang Shen et al.
Neural Episodic Control with State Abstraction
Zhuo Li, Derui Zhu, Yujing Hu et al.
Neural Groundplans: Persistent Neural Scene Representations from a Single Image
Prafull Sharma, Ayush Tewari, Yilun Du et al.
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
YoungJoong Kwon, Dahun Kim, Duygu Ceylan et al.
Neural Implicit Shape Editing using Boundary Sensitivity
Arturs Berzins, Moritz Ibing, Leif Kobbelt
Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics
Takeshi Koshizuka, Issei Sato
Neural Networks and the Chomsky Hierarchy
Gregoire Deletang, Anian Ruoss, Jordi Grau-Moya et al.
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
Alireza Mousavi-Hosseini, Sejun Park, Manuela Girotti et al.
Neural Optimal Transport
Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev