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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Papers (including subtopics)

Post-Net: A linguistically inspired sequence-dependent transformed neural architecture for automatic syllable stress detection Interspeech 2024 Post-trained Convolution Networks for Single Image Super-resolution (Abstract Reprint) AAAI 2024 Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract) AAAI 2024 PowerGraph: A power grid benchmark dataset for graph neural networks NeurIPS 2024 Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract) AAAI 2024 PowerPM: Foundation Model for Power Systems NeurIPS 2024 PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond NeurIPS 2024 Practical Measurements of Translucent Materials with Inter-Pixel Translucency Prior CVPR 2024 Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks NeurIPS 2024 PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control ECCV 2024 PRECISe : Prototype-Reservation for Explainable classification under Imbalanced and Scarce-Data Settings MLHC 2024 Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation MIDL 2024 Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks ICML 2024 Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins MIDL 2024 Predicting Dose-Response Curves with Deep Neural Networks ICML 2024 Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms NeurIPS 2024 Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads NAACL 2024 Predicting Lagrangian Multipliers for Mixed Integer Linear Programs ICML 2024 Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens EACL 2024 Predictive auxiliary objectives in deep RL mimic learning in the brain ICLR 2024 Predictive Modeling with Temporal Graphical Representation on Electronic Health Records IJCAI 2024 PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding CVPR 2024 PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling AAAI 2024 Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution EMNLP 2024 Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers ACML 2024