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

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'25

Papers (including subtopics)

Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs ICLR 2025 Residualized Similarity for Faithfully Explainable Authorship Verification EMNLP 2025 Residual Matrix Transformers: Scaling the Size of the Residual Stream ICML 2025 Residual Neural Terminal Constraint for MPC-based Collision Avoidance in Dynamic Environments CoRL 2025 Residual Reweighted Conformal Prediction for Graph Neural Networks UAI 2025 Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis ICML 2025 ResidualViT for Efficient Temporally Dense Video Encoding ICCV 2025 ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals ICML 2025 Resolving Packets from Counters: Enabling Multi-scale Network Traffic Super Resolution via Composable Large Traffic Model NSDI 2025 Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning ICCV 2025 Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting AAAI 2025 ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers ICCV 2025 Restoring Missing Spaces in Scraped Hebrew Social Media NAACL 2025 Restructuring Vector Quantization with the Rotation Trick ICLR 2025 Rethinking Benign Overfitting in Two-Layer Neural Networks ICML 2025 Rethinking Cancer Gene Identification Through Graph Anomaly Analysis AAAI 2025 Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention CVPR 2025 Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025 Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features ICLR 2025 Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors ICCV 2025 Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection CVPR 2025 Rethinking Layered Graphic Design Generation with a Top-Down Approach ICCV 2025 Rethinking Leveraging Pre-Trained Multi-Layer Representations for Speaker Verification Interspeech 2025 Rethinking Neural-based Matrix Inversion: Why can’t, and Where can AISTATS 2025 Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space AAAI 2025