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)

Learning from Highly Sparse Spatio-temporal Data NeurIPS 2024 Learning from Integral Losses in Physics Informed Neural Networks ICML 2024 Learning from memory-based models Interspeech 2024 Learning From Simplicial Data Based on Random Walks and 1D Convolutions ICLR 2024 Learning Generalized Linear Programming Value Functions NeurIPS 2024 Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope CoRL 2024 Learning Graph Representation via Graph Entropy Maximization ICML 2024 Learning Group Actions on Latent Representations NeurIPS 2024 Learning Hierarchical Image Segmentation For Recognition and By Recognition ICLR 2024 Learning Hierarchical Polynomials with Three-Layer Neural Networks ICLR 2024 Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding ICML 2024 Learning in Deep Factor Graphs with Gaussian Belief Propagation ICML 2024 Learning Infinitesimal Generators of Continuous Symmetries from Data NeurIPS 2024 Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes CVPR 2024 Learning Intra-Class Multimodal Distributions With Orthonormal Matrices WACV 2024 Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders ICML 2024 Learning Linear Block Error Correction Codes ICML 2024 Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction L4DC 2024 Learning Low-Rank Latent Spaces With Simple Deterministic Autoencoder: Theoretical and Empirical Insights WACV 2024 Learning Multi-Agent Communication from Graph Modeling Perspective ICLR 2024 Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning IJCAI 2024 Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution AAAI 2024 Learning Natural Consistency Representation for Face Forgery Video Detection ECCV 2024 Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NeurIPS 2024 Learning on Large Graphs using Intersecting Communities NeurIPS 2024