conftrace_

Architectures

30,950 papers (33 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Neural Networks (13,168) Transformers (11,186) Graph Neural Networks (5,491) Autoencoders (1,313) Convolutional Neural Networks (1,049) Recurrent Neural Networks (675) Generative Adversarial Networks (94) Encoder-Decoder (36)

Papers per year

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74

94

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536

912

1,611

2,559

3,004

3,504

3,729

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1,439

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Papers (including subtopics)

Graph Neural Networks for Brain Graph Learning: A Survey IJCAI 2024 Graph Neural Networks for End-to-End Information Extraction From Handwritten Documents WACV 2024 Graph Neural Networks for Learning Equivariant Representations of Neural Networks ICLR 2024 Graph Neural Networks Need Cluster-Normalize-Activate Modules NeurIPS 2024 Graph Neural Networks Use Graphs When They Shouldn’t ICML 2024 Graph Neural Networks with a Distribution of Parametrized Graphs ICML 2024 Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing ACML 2024 Graph Neural Networks with Soft Association between Topology and Attribute AAAI 2024 Graph Neural PDE Solvers with Conservation and Similarity-Equivariance ICML 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification ICML 2024 Graph Out-of-Distribution Detection Goes Neighborhood Shaping ICML 2024 Graph Parsing Networks ICLR 2024 Graph Positional and Structural Encoder ICML 2024 GraphPulse: Topological representations for temporal graph property prediction ICLR 2024 Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention NeurIPS 2024 GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules NeurIPS 2024 Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification EMNLP 2024 GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism NAACL 2024 GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024 Greed is All You Need: An Evaluation of Tokenizer Inference Methods ACL 2024 GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs CVPR 2024 GridFormer: Point-Grid Transformer for Surface Reconstruction AAAI 2024 GRiT: A Generative Region-to-text Transformer for Object Understanding ECCV 2024 Grokking as a First Order Phase Transition in Two Layer Networks ICLR 2024 Grokking as the transition from lazy to rich training dynamics ICLR 2024