Rigging the Lottery: Making All Tickets Winners. Class Imbalance Techniques for High Energy Physics. The Dynamic Embedded Topic Model. Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis. MirrorGAN: Learning Text-to-image Generation by Redescription. Hierarchical Probabilistic Model for Blind Source Separation via Lege …

Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems. PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI. Variational Pretraining for Semi-supervised Text Classification. Towards Verified Stochastic Variational Inference for Probabilistic Programs. Po …

Contrastive Learning of Structured World Models. Span-based Joint Entity and Relation Extraction with Transformer Pre-training. Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems. Learning Vector-valued Functions wit …

On the convex geometry of blind deconvolution and matrix completion. A Knowledge Transfer Framework for Differentially Private Sparse Learning. Scalable Semi-Supervised SVM via Triply Stochastic Gradients. Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. Detecting A …

Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels. SumQE: a BERT-based Summary Quality Estimation Model. Onset detection: A new approach to QBH system. Learning in the Machine: To Share or Not to Share?. SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds. Data-Efficient Classification of Birdcall Through Co …

CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments. Learning Cluster Structured Sparsity by Reweighting. Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification. Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. Quantitative Verification …

Knowledge Adaptation for Efficient Semantic Segmentation. SampleFix: Learning to Correct Programs by Sampling Diverse Fixes. Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions. Unde …

Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data. Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. Model Slicing for Supporting Complex Analytics with El …

Efficient Learning of Distributed Linear-Quadratic Controllers. Self-Supervised Convolutional Subspace Clustering Network. Unsupervised Domain Adaptation of Language Models for Reading Comprehension. Deep Instance-Level Hard Negative Mining Model for Histopathology Images. Deep Flow-Guided Video Inpainting. Automatic Image Pixel Clustering based on …

forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction. Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function. Improving Back-Translation with Uncertainty-based Confidence Estimation. Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning. A prop …

Automatic Information Extraction from Piping and Instrumentation Diagrams. Disentangled Deep Autoencoding Regularization for Robust Image Classification. Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory. Learning Actions from Human Demonstration Video for Robotic Manipulation. On the Correctness and S …

Embodied Amodal Recognition: Learning to Move to Perceive Objects. Neural Models for Detecting Binary Semantic Textual Similarity for Algerian and MSA. Visual TTR - Modelling Visual Question Answering in Type Theory with Records. Single-Document Summarization Using Sentence Embeddings and K-Means Clustering. Unsupervised Extraction of Partial Trans …