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)

Tracr: Compiled Transformers as a Laboratory for Interpretability NIPS 2023
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization NIPS 2023
H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training NIPS 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks NIPS 2023
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars NIPS 2023
GEQ: Gaussian Kernel Inspired Equilibrium Models NIPS 2023
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation NIPS 2023
Hypervolume Maximization: A Geometric View of Pareto Set Learning NIPS 2023
Deep Patch Visual Odometry NIPS 2023
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning NIPS 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement NIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition NIPS 2023
Robustness Guarantees for Adversarially Trained Neural Networks NIPS 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning NIPS 2023
Uni3DETR: Unified 3D Detection Transformer NIPS 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NIPS 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance NIPS 2023
Analyzing Vision Transformers for Image Classification in Class Embedding Space NIPS 2023
Optimality of Message-Passing Architectures for Sparse Graphs NIPS 2023
Siamese Masked Autoencoders NIPS 2023
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. NIPS 2023
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities NIPS 2023
Limits, approximation and size transferability for GNNs on sparse graphs via graphops NIPS 2023
ViSt3D: Video Stylization with 3D CNN NIPS 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds NIPS 2023