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Architectures

30,950 papers (33 classified directly here)

27
221
3,004
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Papers (including subtopics)

Volume Feature Rendering for Fast Neural Radiance Field Reconstruction NeurIPS 2023 Vowel Normalisation in Latent Space for Sociolinguistics Interspeech 2023 VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion CVPR 2023 Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction ICLR 2023 VQ3D: Learning a 3D-Aware Generative Model on ImageNet ICCV 2023 VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering ICCV 2023 VTCC-NLP at SemEval-2023 Task 6:Long-Text Representation Based on Graph Neural Network for Rhetorical Roles Prediction SemEval 2023 Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks NeurIPS 2023 WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding NeurIPS 2023 Walter Burns at SemEval-2023 Task 5: NLP-CIMAT - Leveraging Model Ensembles for Clickbait Spoiling SemEval 2023 Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023 Wasserstein distributional robustness of neural networks NeurIPS 2023 Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees AAAI 2023 WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series AAAI 2023 WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer ICCV 2023 Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness Classification EMNLP 2023 Weighted Clock Logic Point Process ICLR 2023 Weighted Von Mises Distribution-based Loss Function for Real-time STFT Phase Reconstruction Using DNN Interspeech 2023 Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data AAAI 2023 Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations AISTATS 2023 Weisfeiler and Leman go Machine Learning: The Story so far JMLR 2023 What can a Single Attention Layer Learn? A Study Through the Random Features Lens NeurIPS 2023 What Can Be Learnt With Wide Convolutional Neural Networks? ICML 2023 What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection EACL 2023 What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective ICML 2023