Papers
11,015 papers found
Discriminative Similarity for Data Clustering
Yingzhen Yang, Ping Li
Disentanglement Analysis with Partial Information Decomposition
Seiya Tokui, Issei Sato
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
Asma Ghandeharioun, Been Kim, Chun-Liang Li et al.
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data
Yaxing Wang, Joost van de weijer, Lu Yu et al.
Distributionally Robust Fair Principal Components via Geodesic Descents
Hieu Vu, Toan Tran, Man-Chung Yue et al.
Distributionally Robust Models with Parametric Likelihood Ratios
Paul Michel, Tatsunori Hashimoto, Graham Neubig
Distributional Reinforcement Learning with Monotonic Splines
Yudong Luo, Guiliang Liu, Haonan Duan et al.
Distribution Compression in Near-Linear Time
Abhishek Shetty, Raaz Dwivedi, Lester Mackey
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
Chen Zhu, Zheng Xu, Mingqing Chen et al.
DIVA: Dataset Derivative of a Learning Task
Yonatan Dukler, Alessandro Achille, Giovanni Paolini et al.
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