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)

Riemannian Residual Neural Networks NIPS 2023
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy NIPS 2023
ClusterFomer: Clustering As A Universal Visual Learner NIPS 2023
Spike-driven Transformer NIPS 2023
GMSF: Global Matching Scene Flow NIPS 2023
A graphon-signal analysis of graph neural networks NIPS 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations NIPS 2023
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions NIPS 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite NIPS 2023
Leveraging the two-timescale regime to demonstrate convergence of neural networks NIPS 2023
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation NIPS 2023
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks NIPS 2023
Volume Feature Rendering for Fast Neural Radiance Field Reconstruction NIPS 2023
Slot-guided Volumetric Object Radiance Fields NIPS 2023
Deep Contract Design via Discontinuous Networks NIPS 2023
On the Overlooked Structure of Stochastic Gradients NIPS 2023
Structured Neural Networks for Density Estimation and Causal Inference NIPS 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks NIPS 2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs NIPS 2023
Autodecoding Latent 3D Diffusion Models NIPS 2023
A General Framework for Robust G-Invariance in G-Equivariant Networks NIPS 2023
Affinity-Aware Graph Networks NIPS 2023
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation NIPS 2023
Evaluating Self-Supervised Learning for Molecular Graph Embeddings NIPS 2023
Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees NIPS 2023