Papers
11,015 papers found
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
Eduardo Dadalto Câmara Gomes, Marco Romanelli, Georg Pichler et al.
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Changyao Tian, Chenxin Tao, Jifeng Dai et al.
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
Mohamed Elsayed, A. Rupam Mahmood
Addressing Signal Delay in Deep Reinforcement Learning
Wei Wang, Dongqi Han, Xufang Luo et al.
A differentiable brain simulator bridging brain simulation and brain-inspired computing
Chaoming Wang, Tianqiu Zhang, Sichao He et al.
A Differentially Private Clustering Algorithm for Well-Clustered Graphs
Weiqiang He, Hendrik Fichtenberger, Pan Peng
A Discretization Framework for Robust Contextual Stochastic Optimization
Rares C Cristian, Georgia Perakis
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jun Hao Liew, Vincent Tan et al.
ADOPD: A Large-Scale Document Page Decomposition Dataset
Jiuxiang Gu, Xiangxi Shi, Jason Kuen et al.
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models
Fei Shen, Hu Ye, Jun Zhang et al.
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
Artem Agafonov, Dmitry Kamzolov, Alexander Gasnikov et al.
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
Kejun Tang, Jiayu Zhai, Xiaoliang Wan et al.
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang, Yushun Dong, Chen Chen et al.
Adversarial AutoMixup
Huafeng Qin, Xin Jin, Yun Jiang et al.
Adversarial Causal Bayesian Optimization
Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova et al.
Adversarial Feature Map Pruning for Backdoor
Dong HUANG, Qingwen Bu
Adversarial Imitation Learning via Boosting
Jonathan Daniel Chang, Dhruv Sreenivas, Yingbing Huang et al.
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li, Margret Keuper, Dan Zhang et al.
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
Guang Lin, Chao Li, Jianhai Zhang et al.
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Alexander Robey, Fabian Latorre, George J. Pappas et al.
A Dynamical View of the Question of Why
Mehdi Fatemi, Sindhu C. M. Gowda
A Fast and Provable Algorithm for Sparse Phase Retrieval
Jian-Feng CAI, Yu Long, Ruixue WEN et al.
AffineQuant: Affine Transformation Quantization for Large Language Models
Yuexiao Ma, Huixia Li, Xiawu Zheng et al.
A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
Huan He, William hao, Yuanzhe Xi et al.
A Foundation Model for Error Correction Codes
Yoni Choukroun, Lior Wolf