conftrace
_
Papers
Trends
Conferences
Explore
Authors
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Architectures
Deep Learning
›
Architectures
›
Neural Networks
11,300 papers
Papers per year
2002: 2
2003: 3
2006: 11
2007: 13
2008: 16
2009: 16
2010: 23
2011: 27
2012: 30
2013: 55
2014: 69
2015: 145
2016: 408
2017: 695
2018: 1065
2019: 1479
2020: 1348
2021: 1407
2022: 1147
2023: 1123
2024: 1083
2025: 811
2026: 324
Papers
SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning
NIPS 2023
An Inductive Bias for Tabular Deep Learning
NIPS 2023
Training Neural Networks is NP-Hard in Fixed Dimension
NIPS 2023
REx: Data-Free Residual Quantization Error Expansion
NIPS 2023
Principled Weight Initialisation for Input-Convex Neural Networks
NIPS 2023
Neural Oscillators are Universal
NIPS 2023
Explainable Brain Age Prediction using coVariance Neural Networks
NIPS 2023
Equivariant Single View Pose Prediction Via Induced and Restriction Representations
NIPS 2023
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
NIPS 2023
Noether Embedding: Efficient Learning of Temporal Regularities
NIPS 2023
Locality-Aware Generalizable Implicit Neural Representation
NIPS 2023
Generalization bounds for neural ordinary differential equations and deep residual networks
NIPS 2023
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network
NIPS 2023
Automatic Integration for Spatiotemporal Neural Point Processes
NIPS 2023
Equivariant Adaptation of Large Pretrained Models
NIPS 2023
A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains
NIPS 2023
HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork
NIPS 2023
CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics
NIPS 2023
Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis
NIPS 2023
SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration
NIPS 2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks
NIPS 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
NIPS 2023
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model
NIPS 2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
NIPS 2023
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction
NIPS 2023
<
1
…
93
94
95
…
452
>