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)

REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates ICML 2024 Restoring Ancient Ideograph: A Multimodal Multitask Neural Network Approach COLING 2024 Restoring Degraded Old Films With Recursive Recurrent Transformer Networks WACV 2024 Rethinking 3D Convolution in ℓ_p-norm Space NeurIPS 2024 Rethinking and Extending the Probabilistic Inference Capacity of GNNs ICLR 2024 Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract) AAAI 2024 Rethinking Causal Relationships Learning in Graph Neural Networks AAAI 2024 Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective NeurIPS 2024 Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints NeurIPS 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024 Rethinking Graph Masked Autoencoders through Alignment and Uniformity AAAI 2024 Rethinking Independent Cross-Entropy Loss For Graph-Structured Data ICML 2024 Rethinking Inductive Biases for Surface Normal Estimation CVPR 2024 Rethinking Label Poisoning for GNNs: Pitfalls and Attacks ICLR 2024 Rethinking Multimodal Content Moderation From an Asymmetric Angle With Mixed-Modality WACV 2024 Rethinking Multi-Scale Representations in Deep Deraining Transformer AAAI 2024 Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz NeurIPS 2024 Rethinking Propagation for Unsupervised Graph Domain Adaptation AAAI 2024 Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NeurIPS 2024 Rethinking Reverse Distillation for Multi-Modal Anomaly Detection AAAI 2024 Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks ICLR 2024 Rethinking the Capacity of Graph Neural Networks for Branching Strategy NeurIPS 2024 Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs IJCAI 2024 Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks NeurIPS 2024 Rethinking the Multimodal Correlation of Multimodal Sequential Learning via Generalizable Attentional Results Alignment ACL 2024