Papers
8,340 papers found
Doubly Optimal No-Regret Learning in Monotone Games
Yang Cai, Weiqiang Zheng
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Xiaohui Zhang, Jiangyan Yi, Jianhua Tao et al.
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference
Wanrong Zhang, Ruqi Zhang
DRCFS: Doubly Robust Causal Feature Selection
Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet et al.
DRew: Dynamically Rewired Message Passing with Delay
Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein et al.
Dropout Reduces Underfitting
Zhuang Liu, Zhiqiu Xu, Joseph Jin et al.
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
Leo Klarner, Tim G. J. Rudner, Michael Reutlinger et al.
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
Yuhang Lai, Chengxi Li, Yiming Wang et al.
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
Lisang Ding, Kexin Jin, Bicheng Ying et al.
Dual Focal Loss for Calibration
Linwei Tao, Minjing Dong, Chang Xu
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Zifeng Wang, Zheng Zhan, Yifan Gong et al.
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
Rasmus Høier, D. Staudt, Christopher Zach
DUET: 2D Structured and Approximately Equivariant Representations
Xavier Suau, Federico Danieli, T. Anderson Keller et al.
dugMatting: Decomposed-Uncertainty-Guided Matting
Jiawei Wu, Changqing Zhang, Zuoyong Li et al.
Dynamical Linear Bandits
Marco Mussi, Alberto Maria Metelli, Marcello Restelli
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi et al.
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
Yan Sun, Li Shen, Shixiang Chen et al.
Dynamics-inspired Neuromorphic Visual Representation Learning
Zhengqi Pei, Shuhui Wang
E$(n)$ Equivariant Message Passing Simplicial Networks
Floor Eijkelboom, Rob Hesselink, Erik J Bekkers
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines
Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen et al.
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression
Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik
Effective and Efficient Structural Inference with Reservoir Computing
Aoran Wang, Tsz Pan Tong, Jun Pang
Effectively Using Public Data in Privacy Preserving Machine Learning
Milad Nasr, Saeed Mahloujifar, Xinyu Tang et al.
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories
Zixuan Zhang, Minshuo Chen, Mengdi Wang et al.
Effective Neural Topic Modeling with Embedding Clustering Regularization
Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen et al.