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Architectures

30,950 papers (33 classified directly here)

27
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Papers (including subtopics)

PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling ICML 2024 Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation NeurIPS 2024 PaReNT (Parent Retrieval Neural Tool): A Deep Dive into Word Formation across Languages COLING 2024 PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation Interspeech 2024 PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus AAAI 2024 PartialFormer: Modeling Part Instead of Whole for Machine Translation ACL 2024 Partially Stochastic Infinitely Deep Bayesian Neural Networks ICML 2024 Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics NeurIPS 2024 Partitioning Message Passing for Graph Fraud Detection ICLR 2024 Patch-Based Selection and Refinement for Early Object Detection WACV 2024 PatchRefineNet: Improving Binary Segmentation by Incorporating Signals From Optimal Patch-Wise Binarization WACV 2024 Patch-Wise Graph Contrastive Learning for Image Translation AAAI 2024 Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting ICLR 2024 PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering ACL 2024 Pathwise Explanation of ReLU Neural Networks AISTATS 2024 Paying attention to the words: explaining readability prediction for French as a foreign language COLING 2024 PBWR: Parametric-Building-Wireframe Reconstruction from Aerial LiDAR Point Clouds CVPR 2024 PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering AAAI 2024 PCIC at SMM4H 2024: Enhancing Reddit Post Classification on Social Anxiety Using Transformer Models and Advanced Loss Functions ACL 2024 PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders NeurIPS 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming ICML 2024 PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers ECCV 2024 PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents EMNLP 2024 PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution CVPR 2024