Papers
11,951 papers found
Decoupling dynamics and sampling: RNNs for unevenly sampled data and flexible online predictions
Signe Moe, Camilla Sterud
Decoupling Global and Local Representations via Invertible Generative Flows
Xuezhe Ma, Xiang Kong, Shanghang Zhang et al.
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs
Aayam Kumar Shrestha, Stefan Lee, Prasad Tadepalli et al.
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
Haishan Ye, Tong Zhang
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation
Jungo Kasai, Nikolaos Pappas, Hao Peng et al.
Deep Equals Shallow for ReLU Networks in Kernel Regimes
Alberto Bietti, Francis Bach
Deep Learning meets Projective Clustering
Alaa Maalouf, Harry Lang, Daniela Rus et al.
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks
Woochul Kang, Daeyeon Kim
Deep Networks and the Multiple Manifold Problem
Sam Buchanan, Dar Gilboa, John Wright
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas, Yuxuan Zhang, Florian Kerschbaum
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
Lin Chen, Sheng Xu
Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks
Alexander Levine, Soheil Feizi
Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition
Seon-Ho Lee, Chang-Su Kim
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Brenden K Petersen, Mikel Landajuela Larma, Terrell N. Mundhenk et al.
Deep Unsupervised Image Hashing by Maximizing Bit Entropy
Yunqiang Li, Jan van Gemert
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu, Weijie Su, Lewei Lu et al.
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Shyam Anil Tailor, Javier Fernandez-Marques, Nicholas Donald Lane
DeLighT: Deep and Light-weight Transformer
Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer et al.
Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, Stefano Ermon
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo et al.
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Jiefeng Chen, Frederick Liu, Besim Avci et al.
Developmental Changes of Vowel Acoustics in Adolescents
Einar Meister, Lya Meister
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth et al.
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
Alexandre Rame, Matthieu Cord
Differentiable Segmentation of Sequences
Erik Scharwächter, Jonathan Lennartz, Emmanuel Müller