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

'20

'25

Papers (including subtopics)

Towards Understanding the Universality of Transformers for Next-Token Prediction ICLR 2025 Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning ICLR 2025 Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network CVPR 2025 Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures ICLR 2025 Towards Universal Rainy Image Restoration: Benchmark and Baseline AAAI 2025 Towards Visual Localization Interoperability: Cross-Feature for Collaborative Visual Localization and Mapping ICCV 2025 TPG-INR: Target Prior-Guided Implicit 3D CT Reconstruction for Enhanced Sparse-view Imaging ICCV 2025 TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes WACV 2025 TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction ICML 2025 TRACE: Training and Inference-Time Interpretability Analysis for Language Models EMNLP 2025 TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025 Track-On: Transformer-based Online Point Tracking with Memory ICLR 2025 Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better CVPR 2025 Tractable Transformers for Flexible Conditional Generation ICML 2025 Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context ICLR 2025 Training compute-optimal transformer encoder models EMNLP 2025 Training Deep Learning Models with Norm-Constrained LMOs ICML 2025 Training Dynamics of In-Context Learning in Linear Attention ICML 2025 Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra ICML 2025 Training-Free Message Passing for Learning on Hypergraphs ICLR 2025 Training High Performance Spiking Neural Network by Temporal Model Calibration ICML 2025 Training Neural Networks as Recognizers of Formal Languages ICLR 2025 Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis ICLR 2025 Training One-Dimensional Graph Neural Networks is NP-Hard ICLR 2025 Training Recurrent Neural Networks with Inherent Missing Data for Wearable Device Applications (Student Abstract) AAAI 2025