Papers
11,951 papers found
Dive Deeper Into Integral Pose Regression
Kerui Gu, Linlin Yang, Angela Yao
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang, Yonggang Wen, Shuai Zhang
Diverse Client Selection for Federated Learning via Submodular Maximization
Ravikumar Balakrishnan, Tian Li, Tianyi Zhou et al.
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet
Michelle Miller, SueYeon Chung, Kenneth D. Miller
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression
Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya et al.
Do deep networks transfer invariances across classes?
Allan Zhou, Fahim Tajwar, Alexander Robey et al.
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis et al.
Domain Adversarial Training: A Game Perspective
David Acuna, Marc T Law, Guojun Zhang et al.
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab et al.
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
Jaewoong Choi, Junho Lee, Changyeon Yoon et al.
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
Majid Jahani, Sergey Rusakov, Zheng Shi et al.
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Leon Sixt, Martin Schuessler, Oana-Iuliana Popescu et al.
Do We Need Anisotropic Graph Neural Networks?
Shyam A. Tailor, Felix Opolka, Pietro Lio et al.
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar, Rishabh Agarwal, Tengyu Ma et al.
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Cédric Allain, Alexandre Gramfort, Thomas Moreau
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto et al.
Dual Lottery Ticket Hypothesis
Yue Bai, Huan Wang, ZHIQIANG TAO et al.
Dynamics-Aware Comparison of Learned Reward Functions
Blake Wulfe, Logan Michael Ellis, Jean Mercat et al.
Dynamic Token Normalization improves Vision Transformers
Wenqi Shao, Yixiao Ge, Zhaoyang Zhang et al.
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
Yikun Ban, Yuchen Yan, Arindam Banerjee et al.
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
Xiaolong Ma, Minghai Qin, Fei Sun et al.
Effect of scale on catastrophic forgetting in neural networks
Vinay Venkatesh Ramasesh, Aitor Lewkowycz, Ethan Dyer
Efficient Active Search for Combinatorial Optimization Problems
André Hottung, Yeong-Dae Kwon, Kevin Tierney
Efficient and Differentiable Conformal Prediction with General Function Classes
Yu Bai, Song Mei, Huan Wang et al.