Action Recognition In Videos

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February 2, 2020

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Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics. GPU-Accelerated Atari Emulation for Reinforcement Learning. Keyphrase Generation for Scientific Articles using GANs. Towards Open-Domain Named Entity Recognition via Neural Correction Models. Finding Generalizable Evidence by Learning …

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Unified Language Model Pre-training for Natural Language Understanding and Generation. Balanced Crossover Operators in Genetic Algorithms. End-to-End Learning of Visual Representations from Uncurated Instructional Videos. Nonlinear Markov Random Fields Learned via Backpropagation. A Delay Metric for Video Object Detection: What Average Precision Fa …

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A Review of Modularization Techniques in Artificial Neural Networks. DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching. Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition. Multi-Adversarial Variational Autoencoder Networks. End-to-End Learned Ran …

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Efficient Per-Example Gradient Computations in Convolutional Neural Networks. Temporal Attentive Alignment for Video Domain Adaptation. Information Extraction Tool Text2ALM: From Narratives to Action Language System Descriptions. Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks. Jasper: An E …

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5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory. A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion. Mirovia: A Benchmarking Suite for Modern Heterogeneous Computing. Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsuper …

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Characteristic Regularisation for Super-Resolving Face Images. Wasserstein Distance Based Domain Adaptation for Object Detection. Activation Adaptation in Neural Networks. Optimal initialization of K-means using Particle Swarm Optimization. Low-Rank Approximation from Communication Complexity. Memory-Augmented Recurrent Neural Networks Can Learn Ge …

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January 29, 2020

Relational Action Forecasting. Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. Coherent and Controllable Outfit Generation. Near-Convex Archetypal Analysis. Universal Pooling – A New Pooling Method for Convolutional Neural Networks. MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive. A comparative …

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Early warning in egg production curves from commercial hens: A SVM approach. A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration. Understanding Geometry of Encoder-Decoder CNNs. Towards an automatic recognition of mixed languages: The Ukrainian-Russian hybrid language Surzhyk. The Neural State Pushdown Automata. …

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January 28, 2020

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Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction. Argument Component Classification for Classroom Discussions. Deep Learning for Fine-Grained Image Analysis: A Survey. Stock Price Forecasting and Hypothesis Testing Using Neural Networks. Equipping Experts/Bandits with Long-term Memory. Differential Privacy for …

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Increasing the Generalisation Capacity of Conditional VAEs. Unsupervised Question Answering by Cloze Translation. A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics. Cross-Modal Data Programming Enables Rapid Medical Machine Learning. Plain Eng …

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Semantic RL with Action Grammars: Data-Efficient Learning of Hierarchical Task Abstractions. Constrained Thompson Sampling for Wireless Link Optimization. Progress Regression RNN for Online Spatial-Temporal Action Localization in Unconstrained Videos. A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization. Analysis Co …

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