Papers
11,955 papers found
DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Tiange Xiang, Mahmut Yurt, Ali B Syed et al.
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
Pengcheng He, Jianfeng Gao, Weizhu Chen
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
Donghan Yu, Sheng Zhang, Patrick Ng et al.
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
Wei Li, Linchao Zhu, Longyin Wen et al.
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
Wenhao Zhan, Jason D. Lee, Zhuoran Yang
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
Liam H Fowl, Jonas Geiping, Steven Reich et al.
Decision S4: Efficient Sequence-Based RL via State Spaces Layers
Shmuel Bar David, Itamar Zimerman, Eliya Nachmani et al.
Decision Transformer under Random Frame Dropping
Kaizhe Hu, Ray Chen Zheng, Yang Gao et al.
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Tushar Khot, Harsh Trivedi, Matthew Finlayson et al.
Decompose to Generalize: Species-Generalized Animal Pose Estimation
Guangrui Li, Yifan Sun, Zongxin Yang et al.
Decompositional Generation Process for Instance-Dependent Partial Label Learning
Congyu Qiao, Ning Xu, Xin Geng
Deconstructing Distributions: A Pointwise Framework of Learning
Gal Kaplun, Nikhil Ghosh, Saurabh Garg et al.
Decoupled Training for Long-Tailed Classification With Stochastic Representations
Giung Nam, Sunguk Jang, Juho Lee
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
Ming Xu, Sourav Garg, Michael Milford et al.
Deep Ensembles for Graphs with Higher-order Dependencies
Steven Krieg, William Burgis, Patrick Soga et al.
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
Yong Zhong, Hongtao Liu, Xiaodong Liu et al.
Deep Generative Symbolic Regression
Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
Shahana Ibrahim, Tri Nguyen, Xiao Fu
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
Kaiqi Zhang, Yu-Xiang Wang
Deep Learning on Implicit Neural Representations of Shapes
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti et al.
Deep Ranking Ensembles for Hyperparameter Optimization
Abdus Salam Khazi, Sebastian Pineda Arango, Josif Grabocka
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
Zheng Yu, Yikuan Li, Joseph Chahn Kim et al.
Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
Bobby He, James Martens, Guodong Zhang et al.
Deep Variational Implicit Processes
Luis A. Ortega, Simon Rodriguez Santana, Daniel Hernández-Lobato
Defending against Adversarial Audio via Diffusion Model
Shutong Wu, Jiongxiao Wang, Wei Ping et al.