Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples. Overview of the TREC 2019 deep learning track. Model-Agnostic Structured Sparsification with Learnable Channel Shuffle. Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions. Using Dis …

Approximation smooth and sparse functions by deep neural networks without saturation. Attentional networks for music generation. PaRoT: A Practical Framework for Robust Deep Neural Network Training. Taylor Expansion Policy Optimization. Enabling the Analysis of Personality Aspects in Recommender Systems. Learning to Simulate Human Movement. Weakly …

End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification. Self-supervised learning for audio-visual speaker diarization. Phoneme Boundary Detection using Learnable Segmental Features. RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. Selfish Robustness and Equilibria in Mu …

A Free-Energy Principle for Representation Learning. Video Monitoring Queries. On the Inductive Bias of a CNN for Orthogonal Patterns Distributions. Cross-dataset Training for Class Increasing Object Detection. Explicit Regularization of Stochastic Gradient Methods through Duality. Model-Based Machine Learning for Joint Digital Backpropagation and …

microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination. EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation. Neural Networks are Convex Regularizers: Exact Polynomial-time C …

Reinforcement Learning with Probabilistically Complete Exploration. Unknown-Aware Deep Neural Network. DP-LSSGD: An Optimization Method to Lift the Utility in Privacy-Preserving ERM. BERT for Sequence-to-Sequence Milti-Label Text Classification. Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading. Data-Driven Ap …

Three-Head Neural Network Architecture for AlphaZero Learning. Invariance vs Robustness of Neural Networks. Data Augmentation in Training CNNs: Injecting Noise to Images. Decoupling Representation and Classifier for Long-Tailed Recognition. Relevant-features based Auxiliary Cells for Robust and Energy Efficient Deep Learning. Representing Model Unc …

SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning. Transferable Perturbations of Deep Feature Distributions. Mutual Information Maximization for Robust Plannable Representations. Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. Non-Sequential Melody Generation. Smart Ternary Quantizatio …