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)

Node Dependent Local Smoothing for Scalable Graph Learning NIPS 2021
A Convergence Analysis of Gradient Descent on Graph Neural Networks NIPS 2021
Object DGCNN: 3D Object Detection using Dynamic Graphs NIPS 2021
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring NIPS 2021
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks NIPS 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods NIPS 2021
When Are Solutions Connected in Deep Networks? NIPS 2021
Learning Graph Cellular Automata NIPS 2021
Deconvolutional Networks on Graph Data NIPS 2021
Deep Residual Learning in Spiking Neural Networks NIPS 2021
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation NIPS 2021
Learning and Generalization in RNNs NIPS 2021
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers NIPS 2021
SOFT: Softmax-free Transformer with Linear Complexity NIPS 2021
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs NIPS 2021
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NIPS 2021
Rethinking Graph Transformers with Spectral Attention NIPS 2021
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions NIPS 2021
Stateful ODE-Nets using Basis Function Expansions NIPS 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks NIPS 2021
Disentangled Contrastive Learning on Graphs NIPS 2021
SOLQ: Segmenting Objects by Learning Queries NIPS 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models NIPS 2021
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks NIPS 2021
Few-Shot Segmentation via Cycle-Consistent Transformer NIPS 2021