AMA Session with Björn Schuller: Artificial Intelligence and More
Phonetic Feedback For Speech Enhancement With And Without Parallel Speech Data
Recent Advances of Stochastic Algorithms for Deep Learning
Ecg Heartbeat Classification Based On Multi-Scale Wavelet Convolutional Neural Networks
From Video Game To Real Robot: The Transfer Between Action Spaces
Identifying Hard-Tissue Conditions from Dental Images Using Convolutional Neural Network
Sparce Modeling of Data and its Relation to Deep Learning
ICADS '22 Talk: Deep Learning for Melodic Frameworks
Deep Learning Features for Modeling Perceptual Similarity in Microcalcification Lesion Retrieval
Complex Transformer: A Framework For Modeling Complex-Valued Sequence
Angular Discriminative Deep Feature Learning For Face Verification
A Novel Rank Selection Scheme In Tensor Ring Decomposition Based On Reinforcement Learning For Deep Neural Networks
Raw Waveform Based End-To-End Deep Convolutional Network For Spatial Localization Of Multiple Acoustic Sources
Improving Efficiency In Large-Scale Decentralized Distributed Training
Fast Intent Classification For Spoken Language Understanding Systems
Bilateral Recurrent Network For Single Image Deraining
Ask Me Anything (AMA) session with Prof. Pedro Domingos: AI/ML and Other Topics
Self-Supervised Deep Learning For Fisheye Image Rectification
Label Reuse For Efficient Semi-Supervised Learning
A Regularized Attention Mechanism For Graph Attention Networks
Boosted Locality Sensitive Hashing: Discriminative Binary Codes For Source Separation
Expression-Guided Eeg Representation Learning For Emotion Recognition
Machine Learning in MRI Reconstruction
An Improved Deep Neural Network For Modeling Speaker Characteristics At Different Temporal Scales
Deep Clustering With Concrete K-Means
Projected Weight Regularization To Improve Neural Network Generalization
Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging Data
Deep Meta-Relation Network For Visual Few-Shot Learning
Dynamic Variational Autoencoders For Visual Process Modeling
Unet 3+: A Full-Scale Connected Unet For Medical Image Segmentation
Multi-Task Learning In Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks
Automatic And Simultaneous Adjustment Of Learning Rate And Momentum For Stochastic Gradient-Based Optimization Methods
On The Byzantine Robustness Of Clustered Federated Learning
Meta Metric Learning For Highly Imbalanced Aerial Scene Classification
Stabilizing Multi-Agent Deep Reinforcement Learning By Implicitly Estimating Other Agents’ Behaviors
Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinsons Disease
Robust Detection of Adversarial Attacs on Medical Images
Deep Learning & Machine Learning Inference - Ashish Sirasao - LPIRC 2019
Improving Singing Voice Separation With The Wave-U-Net Using Minimum Hyperspherical Energy
Deep learning based phase imaging with uncertainty quantification
Benchmarking Deep Nets MRI Reconstruction Models on the FastMRI Publicly Available Dataset
MLSP 2017: On Bayesian Deep Learning and Deep Bayesian Learning
Compact Representation Learning Using Class Specific Convolution Coders - Application to Medical Image Classification
Prof. Chee Seng Chan - Intellectual Property Protection for Deep Learning Model
Federated Learning With Quantization Constraints
Non-Volatile Memory Array Based Quantization - Wen Ma - ICRC San Mateo, 2019
Dynamically Modulated Deep Metric Learning For Visual Search
A Multi-Task Self-Supervised Learning Framework for Scopy Images
Full Field Optical Coherence Tomography Image Denoising Using Deep Learning with Spatial Compounding
Attention Driven Fusion For Multi-Modal Emotion Recognition
Monaural Speech Enhancement Using Intra-Spectral Recurrent Layers In The Magnitude And Phase Responses
Designing Reconfigurable Large-Scale Deep Learning Systems Using Stochastic Computing - Ao Ren: 2016 International Conference on Rebooting Computing
Going beyond Games: Towards Decision Making in The Real-world - IEEE CoG2022 Keynote III
Deep Learning: Yoshua Bengio
Simultaneous Separation And Transcription Of Mixtures With Multiple Polyphonic And Percussive Instruments
Sex differences in the brain: Divergent results from traditional machine learning and convolutional networks
Deep Learning for High Speed Optical Coherence Elastography
Bridging Mixture Density Networks With Meta-Learning For Automatic Speaker Identification
A Benchmark for Deep Learning Reconstruction Methods for Low-Dose Computed Tomography
Learning Geometric Features With Dual-Stream Cnn For 3D Action Recognition
Lunch Chat: Demystifying the AI Journey
Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning
Xceptiontime: Independent Time-Window Xceptiontime Architecture For Hand Gesture Classification
Full-Reference Speech Quality Estimation With Attentional Siamese Neural Networks
Bi-Modal Ultrasound Breast Cancer Diagnosis Via Multi-View Deep Neural Network SVM
Joint Optimization Of Sampling Patterns And Deep Priors For Improved Parallel Mri
Exploiting Channel Locality For Adaptive Massive Mimo Signal Detection
Attention Mechanism Enhanced Kernel Prediction Networks For Denoising Of Burst Images
Lipreading Using Temporal Convolutional Networks
A Segmentation Based Robust Deep Learning Framework For Multimodal Retinal Image Registration
Panel Discussion - COVID-19, Deep Learning and Biomedical Imaging Panel
A Return To Dereverberation In The Frequency Domain Using A Joint Learning Approach
Embedded Large–Scale Handwritten Chinese Character Recognition
Talker-Independent Speaker Separation In Reverberant Conditions
A Bin Encoding Training Of A Spiking Neural Network Based Voice Activity Detection
Classifying Anomalies For Network Security
A Neural Document Language Modeling Framework For Spoken Document Retrieval
Deep Casa For Talker-Independent Monaural Speech Separation
Real-Time Binaural Speech Separation With Preserved Spatial Cues
LPIRC: A Facebook Approach to Benchmarking ML Workload
Adversarial Example Detection By Classification For Deep Speech Recognition
On Network Science And Mutual Information For Explaining Deep Neural Networks
Deep Image Deblurring Using Local Correlation Block
Deep Learning for Image Transformation
Deep Learning For Robust Power Control For Wireless Networks
Tensorflow Audio Models In Essentia
Generating And Protecting Against Adversarial Attacks For Deep Speech-Based Emotion Recognition Models
Encoder-Recurrent Decoder Network For Single Image Dehazing
Using Separate Losses For Speech And Noise In Mask-Based Speech Enhancement
Mdr-Surv: A Multi-Scale Deep Learning-Based Radiomics For Survival Prediction In Pulmonary Malignancies
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