conftrace_
← Deep Learning
Deep Learning ›

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)

Learning Joint 2D-3D Representations for Depth Completion ICCV 2019
Language-Conditioned Graph Networks for Relational Reasoning ICCV 2019
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction ICCV 2019
Mixture-Kernel Graph Attention Network for Situation Recognition ICCV 2019
P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo ICCV 2019
VTNFP: An Image-Based Virtual Try-On Network With Body and Clothing Feature Preservation ICCV 2019
Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains ICCV 2019
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents ICCV 2019
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data ICCV 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing ICML 2019
Graph Element Networks: adaptive, structured computation and memory ICML 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019
A Personalized Affective Memory Model for Improving Emotion Recognition ICML 2019
Efficient optimization of loops and limits with randomized telescoping sums ICML 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces ICML 2019
Invertible Residual Networks ICML 2019
Greedy Layerwise Learning Can Scale To ImageNet ICML 2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning ICML 2019
Adversarial Attacks on Node Embeddings via Graph Poisoning ICML 2019
Compositional Fairness Constraints for Graph Embeddings ICML 2019
Deep Counterfactual Regret Minimization ICML 2019
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem ICML 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels ICML 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN ICML 2019
Shape Constraints for Set Functions ICML 2019