conftrace_
← Topics

Artificial Intelligence

72,274 papers (0 classified directly here)

Subtopics

Core AI (59,089) Learning Paradigms (14,108) Bayesian & Probabilistic (4,335)

Papers per year

2
22
193
410
5040
14833
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

A Deep Reinforcement Learning Based Multimodal Coaching Model (DCM) for Slot Filling in Spoken Language Understanding(SLU) INTERSPEECH 2018
Robust Spoken Language Understanding via Paraphrasing INTERSPEECH 2018
Deep Speech Denoising with Vector Space Projections INTERSPEECH 2018
A Shifted Delta Coefficient Objective for Monaural Speech Separation Using Multi-task Learning INTERSPEECH 2018
Semi-supervised Cross-domain Visual Feature Learning for Audio-Visual Broadcast Speech Transcription INTERSPEECH 2018
Speaker Adaptive Audio-Visual Fusion for the Open-Vocabulary Section of AVICAR INTERSPEECH 2018
Multi-frame Quantization of LSF Parameters Using a Deep Autoencoder and Pyramid Vector Quantizer INTERSPEECH 2018
Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification INTERSPEECH 2018
Analysis of Length Normalization in End-to-End Speaker Verification System INTERSPEECH 2018
Cross-lingual Speech Emotion Recognition through Factor Analysis INTERSPEECH 2018
Demonstrating and Modelling Systematic Time-varying Annotator Disagreement in Continuous Emotion Annotation INTERSPEECH 2018
On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks INTERSPEECH 2018
Knowledge Distillation for Sequence Model INTERSPEECH 2018
COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning INTERSPEECH 2018
Variational Fourier Features for Gaussian Processes JMLR 2018
Probabilistic preference learning with the Mallows rank model JMLR 2018
pomegranate: Fast and Flexible Probabilistic Modeling in Python JMLR 2018
In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics JMLR 2018
Beyond the Hazard Rate: More Perturbation Algorithms for Adversarial Multi-armed Bandits JMLR 2018
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations JMLR 2018
Uncovering Causality from Multivariate Hawkes Integrated Cumulants JMLR 2018
Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research JMLR 2018
Enhancing Identification of Causal Effects by Pruning JMLR 2018
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models JMLR 2018
Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression JMLR 2018