conftrace_
← Deep Learning
Deep Learning ›

Models

16,617 papers (23 classified directly here)

Subtopics

Generative Models (7,221) Diffusion Models (4,421) Large Language Models (2,733) Variational Inference (1,952) Language Models (732) Vision-Language Models (718) Foundation Models (278) Language Modeling (77) Sequence-to-Sequence (16) Variational Autoencoders (10) Neural Radiance Fields (9) Variational Autoencoder (8)

Papers per year

2
20
62
1007
4276
'05
'10
'15
'20
'25

Papers (including subtopics)

Self supervised learning for robust voice cloning INTERSPEECH 2022
An Attention-Based Method for Guiding Attribute-Aligned Speech Representation Learning INTERSPEECH 2022
Voice Activity Projection: Self-supervised Learning of Turn-taking Events INTERSPEECH 2022
Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data INTERSPEECH 2022
Speech Separation for an Unknown Number of Speakers Using Transformers With Encoder-Decoder Attractors INTERSPEECH 2022
Text-Driven Separation of Arbitrary Sounds INTERSPEECH 2022
Exploiting locality in high-dimensional Factorial hidden Markov models JMLR 2022
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems JMLR 2022
Evolutionary Variational Optimization of Generative Models JMLR 2022
(f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics JMLR 2022
Cascaded Diffusion Models for High Fidelity Image Generation JMLR 2022
Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling JMLR 2022
Globally Injective ReLU Networks JMLR 2022
Cauchy–Schwarz Regularized Autoencoder JMLR 2022
An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference JMLR 2022
EV-GAN: Simulation of extreme events with ReLU neural networks JMLR 2022
Weakly Supervised Disentangled Generative Causal Representation Learning JMLR 2022
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables JMLR 2022
Variational Inference in high-dimensional linear regression JMLR 2022
TorchXRayVision: A library of chest X-ray datasets and models MIDL 2022
Practical uncertainty quantification for brain tumor segmentation MIDL 2022
Transformer-based out-of-distribution detection for clinically safe segmentation MIDL 2022
PILLET-GAN: Pixel-Level Lesion Traversal Generative Adversarial Network for Pneumonia Localization MIDL 2022
SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction MIDL 2022
Cell Anomaly Localisation using Structured Uncertainty Prediction Networks MIDL 2022