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

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

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'25

Papers (including subtopics)

EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar AAAI 2025 EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration ICCV 2025 Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model AAAI 2025 Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs COLING 2025 EdgeGaussians - 3D Edge Mapping via Gaussian Splatting WACV 2025 EdgeInfinite: A Memory-Efficient Infinite-Context Transformer for Edge Devices ACL 2025 Edge Prompt Tuning for Graph Neural Networks ICLR 2025 EditAR: Unified Conditional Generation with Autoregressive Models CVPR 2025 EDMB: Edge Detector with Mamba WACV 2025 EduCSW: Building a Mandarin-English Code-Switched Generation Pipeline for Computer Science Learning ACL 2025 EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction ICML 2025 EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation ICML 2025 Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction WACV 2025 Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models ICLR 2025 Effective Context in Neural Speech Models Interspeech 2025 Effective Diffusion Transformer Architecture for Image Super-Resolution AAAI 2025 Effective Training Data Synthesis for Improving MLLM Chart Understanding ICCV 2025 Efficient 3D Recognition with Event-driven Spike Sparse Convolution AAAI 2025 Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model ICLR 2025 Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity ICML 2025 Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement CVPR 2025 Efficient ANN-SNN Conversion with Error Compensation Learning ICML 2025 Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space AAAI 2025 Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution AAAI 2025 Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization ICCV 2025