Architectures
30,950 papers (33 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
3
15
13
18
17
27
39
43
74
94
221
536
912
1,611
2,559
3,004
3,504
3,729
4,021
4,550
4,519
1,439
'10
'15
'20
'25
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