neural network

Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024 Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration AAAI 2024 Expand-and-Cluster: Parameter Recovery of Neural Networks ICML 2024 Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions CVPR 2024 Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack AAAI 2024 Exploring Channel-Aware Typical Features for Out-of-Distribution Detection AAAI 2024 Exploring Data Augmentation in Neural DRS-to-Text Generation EACL 2024 Exploring Diverse Representations for Open Set Recognition AAAI 2024 Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models IJCAI 2024 Extracting Relations from Ecclesiastical Cultural Heritage Texts EMNLP 2024 Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems NeurIPS 2024 Fair Off-Policy Learning from Observational Data ICML 2024 FairProof : Confidential and Certifiable Fairness for Neural Networks ICML 2024 FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024 FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation CVPR 2024 Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference NeurIPS 2024 FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NeurIPS 2024 Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time NeurIPS 2024 Fast yet Safe: Early-Exiting with Risk Control NeurIPS 2024 Feature-aligned N-BEATS with Sinkhorn divergence ICLR 2024 Feature Collapse ICLR 2024 FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation ICLR 2024 Federated Learning over Connected Modes NeurIPS 2024 FedFisher: Leveraging Fisher Information for One-Shot Federated Learning AISTATS 2024