Papers
Deep Network Approximation in Terms of Intrinsic Parameters
Zuowei Shen, Haizhao Yang, Shijun Zhang
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini et al.
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
Chang Liu, Chenfei Lou, Runzhong Wang et al.
Deep Probability Estimation
Sheng Liu, Aakash Kaku, Weicheng Zhu et al.
Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao, Rahul Ramesh, Pratik Chaudhari
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm
Huayi Tang, Yong Liu
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari, Conglong Li, Zhewei Yao et al.
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
Alan J.X. Guo, Cong Liang, Qing-Hu Hou
Deep symbolic regression for recurrence prediction
Stéphane D’Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample et al.
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
Wenchao Chen, Long Tian, Bo Chen et al.
Delay-Adaptive Step-sizes for Asynchronous Learning
Xuyang Wu, Sindri Magnusson, Hamid Reza Feyzmahdavian et al.
Delayed Reinforcement Learning by Imitation
Pierre Liotet, Davide Maran, Lorenzo Bisi et al.
Deletion Robust Submodular Maximization over Matroids
Paul Duetting, Federico Fusco, Silvio Lattanzi et al.
Demystifying the Adversarial Robustness of Random Transformation Defenses
Chawin Sitawarin, Zachary J Golan-Strieb, David Wagner
Denoised MDPs: Learning World Models Better Than the World Itself
Tongzhou Wang, Simon Du, Antonio Torralba et al.
De novo mass spectrometry peptide sequencing with a transformer model
Melih Yilmaz, William Fondrie, Wout Bittremieux et al.
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Mohammad Mahmudul Alam, Edward Raff, Tim Oates et al.
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Yonggan Fu, Haichuan Yang, Jiayi Yuan et al.
Describing Differences between Text Distributions with Natural Language
Ruiqi Zhong, Charlie Snell, Dan Klein et al.
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Brandon Trabucco, Xinyang Geng, Aviral Kumar et al.
Detached Error Feedback for Distributed SGD with Random Sparsification
An Xu, Heng Huang
Detecting Corrupted Labels Without Training a Model to Predict
Zhaowei Zhu, Zihao Dong, Yang Liu
Dialog Inpainting: Turning Documents into Dialogs
Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y Zhao et al.
Difference Advantage Estimation for Multi-Agent Policy Gradients
Yueheng Li, Guangming Xie, Zongqing Lu