conftrace_

Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
213
2915
3174
'10
'15
'20
'25

Papers (including subtopics)

Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction NIPS 2022
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space NIPS 2022
MAtt: A Manifold Attention Network for EEG Decoding NIPS 2022
Geometry-aware Two-scale PIFu Representation for Human Reconstruction NIPS 2022
Infinite Recommendation Networks: A Data-Centric Approach NIPS 2022
A Unified Sequence Interface for Vision Tasks NIPS 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries NIPS 2022
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention NIPS 2022
Symmetry-induced Disentanglement on Graphs NIPS 2022
Visual Concepts Tokenization NIPS 2022
Are All Losses Created Equal: A Neural Collapse Perspective NIPS 2022
Generating Long Videos of Dynamic Scenes NIPS 2022
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks NIPS 2022
Unsupervised Learning of Group Invariant and Equivariant Representations NIPS 2022
MAgNet: Mesh Agnostic Neural PDE Solver NIPS 2022
Learning to Compare Nodes in Branch and Bound with Graph Neural Networks NIPS 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers NIPS 2022
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations NIPS 2022
Robust Graph Structure Learning via Multiple Statistical Tests NIPS 2022
Peripheral Vision Transformer NIPS 2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks NIPS 2022
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks NIPS 2022
Compositional generalization through abstract representations in human and artificial neural networks NIPS 2022
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks NIPS 2022
Provably expressive temporal graph networks NIPS 2022