Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments. Learning Shared Encoding Representation for End-to-End Speech Recognition Models. Fixed-price Diffusion Mechanism Design. Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models. Improving noise robustn …

HistoNet: Predicting size histograms of object instances. Multi-Preference Actor Critic. Self-supervised Object Motion and Depth Estimation from Video. An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale. Adaptive Symmetric Reward Noising for Reinforcement Learning. Escaping Saddle Points with Adaptive Gradient …

Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit. Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation. Efficient Differentiable Neural Architecture Search with Meta Kernels. Evaluating Hierarchies through A Partially Observable …

Ray Interference: a Source of Plateaus in Deep Reinforcement Learning. Incorporating End-to-End Speech Recognition Models for Sentiment Analysis. Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding. Sha …

Dialog State Tracking with Reinforced Data Augmentation. Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning. SPair-71k: A Large-scale Benchmark for Semantic Correspondence. Optimized Preprocessing and Machine Learning for Quantitative Raman Spectroscopy in Biology. Self-Training for End-to-End Speech Recognition. Expressing Visu …

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms. Syntax-Infused Variational Autoencoder for Text Generation. Attention-Privileged Reinforcement Learning. Marker based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled E …

On using 2D sequence-to-sequence models for speech recognition. End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. The Odds are Odd: A Statistical Test for Detecting Adversarial Examples. Generating Dialogue Agents via Automated Planning. Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors. A surv …

Attributes-aided Part Detection and Refinement for Person Re-identification. Flavour Enhanced Food Recommendation. Unsupervised Separation of Dynamics from Pixels. Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter. Place-specific Background Modeling Using Recursive Autoencoders. Uncertainty-aware Model-based …

Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm. How far are we from quantifying visual attention in mobile HCI?. Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities. Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises. On the Utility of M …

Deep Metric Learning with Density Adaptivity. Solving machine learning optimization problems using quantum computers. A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation. Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification. Simultaneous Spe …

Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning. end-to-end training of a large vocabulary end-to-end speech recognition system. Low-rank Random Tensor for Bilinear Pooling. Analyzing Customer Feedback for Product Fit Prediction. Efficient Contextual Representation Learning Without Softmax Layer. Weakly-Sup …

Leveraging End-to-End Speech Recognition with Neural Architecture Search. RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. A multi-agent system approach in evaluating human spatio-temporal vulnerability to seismic risk using social attachment. Clustering by the way of atomic fission. …

Independent and automatic evaluation of acoustic-to-articulatory inversion models. What does a network layer hear? Analyzing hidden representations of end-to-end ASR through speech synthesis. Transferring neural speech waveform synthesizers to musical instrument sounds generation. Location-Relative Attention Mechanisms For Robust Long-Form Speech S …

Positively Scale-Invariant Flatness of ReLU Neural Networks. Neural Embedding Allocation: Distributed Representations of Topic Models. Spacetime Graph Optimization for Video Object Segmentation. Key Instance Selection for Unsupervised Video Object Segmentation. On Modeling ASR Word Confidence. Transformer-Transducer: End-to-End Speech Recognition w …

Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks. Shift Convolution Network for Stereo Matching. A multimodal movie review corpus for fine-grained opinion mining. Named Entity Recognition System for Sindhi Language. Deep Network Approximation Characterized by Number of Neurons. A Robust Regression Approach for Robot Model Learn …