Mark D. Plumbley
16 papers · 2013–2024 · 4 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(13)
Deep Learning
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Artificial Intelligence
(5)
Application Areas
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Core Methods
(5)
Core AI
(4)
Computer Vision
(3)
Speech & Audio
(3)
Analysis
(3)
Optimization & Theory Β· Machine Learning
(3)
Generation
(2)
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Optimization & Theory Β· Deep Learning
(2)
Keywords
contrastive learning
(3)
audio captioning
(3)
audio tagging
(3)
model compression
(3)
multimodal learning
(2)
feature fusion
(2)
deep neural network
(2)
audio classification
(2)
source separation
(2)
convolutional neural network
(2)
audio representation
(2)
multi-label classification
(1)
attention mechanism
(1)
network pruning
(1)
image captioning
(1)
self-supervised learning
(1)
data augmentation
(1)
differentiable programming
(1)
machine translation
(1)
multi-object tracking
(1)
Papers
Efficient Audio Captioning with Encoder-Level Knowledge Distillation
Interspeech 2024
Efficient CNNs with Quaternion Transformations and Pruning for Audio Tagging
Interspeech 2024
Learning Temporal Resolution in Spectrogram for Audio Classification
AAAI 2024
Neural Compression Augmentation for Contrastive Audio Representation Learning
Interspeech 2024
PFCA-Net: Pyramid Feature Fusion and Cross Content Attention Network for Automated Audio Captioning
Interspeech 2024
Adapting Language-Audio Models as Few-Shot Audio Learners
Interspeech 2023
Dual Transformer Decoder based Features Fusion Network for Automated Audio Captioning
Interspeech 2023
Ontology-aware Learning and Evaluation for Audio Tagging
Interspeech 2023
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention
Interspeech 2023
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification
Interspeech 2022
Separate What You Describe: Language-Queried Audio Source Separation
Interspeech 2022
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
IJCAI 2019
Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging
Interspeech 2017
Learning the Mapping Function from Voltage Amplitudes to Sensor Positions in 3D-EMA Using Deep Neural Networks
Interspeech 2017
Combining Mask Estimates for Single Channel Audio Source Separation Using Deep Neural Networks
Interspeech 2016
Segregating Event Streams and Noise with a Markov Renewal Process Model
JMLR 2013