Papers
11,955 papers found
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity
Deniz Oktay, Mehran Mirramezani, Eder Medina et al.
Neuro-Symbolic Procedural Planning with Commonsense Prompting
Yujie Lu, Weixi Feng, Wanrong Zhu et al.
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Dahuin Jung, Dongjin Lee, Sunwon Hong et al.
Noise Injection Node Regularization for Robust Learning
Noam Itzhak Levi, Itay Mimouni Bloch, Marat Freytsis et al.
Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be
Frederik Kunstner, Jacques Chen, Jonathan Wilder Lavington et al.
Noise-Robust De-Duplication at Scale
Emily Silcock, Luca D'Amico-Wong, Jinglin Yang et al.
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
Samuel Lanthaler, Roberto Molinaro, Patrik Hadorn et al.
Non-parametric Outlier Synthesis
Leitian Tao, Xuefeng Du, Jerry Zhu et al.
No Reason for No Supervision: Improved Generalization in Supervised Models
Mert Bülent Sarıyıldız, Yannis Kalantidis, Karteek Alahari et al.
NORM: Knowledge Distillation via N-to-One Representation Matching
Xiaolong Liu, LUKING LI, Chao Li et al.
Novel View Synthesis with Diffusion Models
Daniel Watson, William Chan, Ricardo Martin Brualla et al.
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
Ruiqi Ni, Ahmed H Qureshi
NTK-SAP: Improving neural network pruning by aligning training dynamics
Yite Wang, Dawei Li, Ruoyu Sun
ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection
Chenyang ZHAO, Antoni B. Chan
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
Haozhe Jiang, Qiwen Cui, Zhihan Xiong et al.
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar, Rishabh Agarwal, Xinyang Geng et al.
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
Huayu Chen, Cheng Lu, Chengyang Ying et al.
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
Ming Yin, Mengdi Wang, Yu-Xiang Wang
Offline RL for Natural Language Generation with Implicit Language Q Learning
Charlie Victor Snell, Ilya Kostrikov, Yi Su et al.
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
Haoran Xu, Li Jiang, Jianxiong Li et al.
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
Corinna Coupette, Sebastian Dalleiger, Bastian Rieck
Omnigrok: Grokking Beyond Algorithmic Data
Ziming Liu, Eric J Michaud, Max Tegmark
On Accelerated Perceptrons and Beyond
Guanghui Wang, Rafael Hanashiro, Etash Kumar Guha et al.
On Achieving Optimal Adversarial Test Error
Justin D. Li, Matus Telgarsky