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)

Singular Value Representation: A New Graph Perspective On Neural Networks AISTATS 2023
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders AISTATS 2023
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks AISTATS 2023
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior AISTATS 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models AISTATS 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation AISTATS 2023
Temporal Graph Neural Networks for Irregular Data AISTATS 2023
Faithful Heteroscedastic Regression with Neural Networks AISTATS 2023
Distill n’ Explain: explaining graph neural networks using simple surrogates AISTATS 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023
Learning with Partial Forgetting in Modern Hopfield Networks AISTATS 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection AISTATS 2023
Structure of Nonlinear Node Embeddings in Stochastic Block Models AISTATS 2023
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023
Recurrent Neural Networks and Universal Approximation of Bayesian Filters AISTATS 2023
Retrospective Uncertainties for Deep Models using Vine Copulas AISTATS 2023
Vector Quantized Time Series Generation with a Bidirectional Prior Model AISTATS 2023
Improved Representation Learning Through Tensorized Autoencoders AISTATS 2023
Loss-Curvature Matching for Dataset Selection and Condensation AISTATS 2023
Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023
Learning Robust Graph Neural Networks with Limited Supervision AISTATS 2023
Adversarial robustness of VAEs through the lens of local geometry AISTATS 2023
Coherent Probabilistic Forecasting of Temporal Hierarchies AISTATS 2023
Influence Diagnostics under Self-concordance AISTATS 2023
Convolutional Persistence as a Remedy to Neural Model Analysis AISTATS 2023