CNN Fixations: An unraveling approach to visualize the discriminative image regions. Measurement Context Extraction from Text: Discovering Opportunities and Gaps in Earth Science. An Equivalence of Fully Connected Layer and Convolutional Layer. TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition. Deep Extreme …

Video Salient Object Detection Using Spatiotemporal Deep Features. Discovering Visual Concept Structure with Sparse and Incomplete Tags. Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI. Mining Object Parts from CNNs via Active Question-Answering. Pre-training Attention Mechanisms. Learning to Detect Human-Ob …

Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier. Rhetorical relations for information retrieval. Proceedings First Workshop on Formal Verification of Autonomous Vehicles. Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples. Reflexive Regular Equivalence for Bi …

AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition. Query-free Clothing Retrieval via Implicit Relevance Feedback. Flow-free Video Object Segmentation. Long-Term Video Interpolation with Bidirectional Predictive Network. Reconciling Bayesian Epistemology and Narration-based Approaches to Judiciary Fact-finding. Grounding …

Binary Classification from Positive-Confidence Data. Toward Multimodal Image-to-Image Translation. Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography. Learning the Latent “Look”: Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images. Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid …

Emergence of Locomotion Behaviours in Rich Environments. Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. PAC-Bayesian Margin Bounds for Convolutional Neural Networks. Towards Neural Phrase-based Machine Translation. Regret Minimization for Partially Observable Deep Reinforceme …

Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. Towards Real-Time Advancement of Underwater Visual Quality with GAN. PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. Bidirectional deep-readout echo state networks. PWLS-ULTRA: An Efficient Clustering an …

Topic Modeling for Classification of Clinical Reports. Compression Fractures Detection on CT. Volume Calculation of CT lung Lesions based on Halton Low-discrepancy Sequences. Visual Semantic Planning using Deep Successor Representations. Taxonomy Induction using Hypernym Subsequences. The BURCHAK corpus: a Challenge Data Set for Interactive Learnin …

Joint Background Reconstruction and Foreground Segmentation via A Two-stage Convolutional Neural Network. A filter based approach for inbetweening. Argumentation-based Security for Social Good. Is Natural Language a Perigraphic Process? The Theorem about Facts and Words Revisited. Hierarchical Representations for Efficient Architecture Search. Can …

A Finite State and Rule-based Akshara to Prosodeme (A2P) Converter in Hindi. A Study of AI Population Dynamics with Million-agent Reinforcement Learning. Reasoning by Cases in Structured Argumentation. The Multiscale Bowler-Hat Transform for Blood Vessel Enhancement in Retinal Images. On Matching Skulls to Digital Face Images: A Preliminary Approac …

Slim Embedding Layers for Recurrent Neural Language Models. SAGA: A Submodular Greedy Algorithm For Group Recommendation. T-SKIRT: Online Estimation of Student Proficiency in an Adaptive Learning System. Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels. Spectral-graph Based Classifications: Linear Regression for Classifi …

Meta-Learning MCMC Proposals. A Supervised STDP-based Training Algorithm for Living Neural Networks. Single-pixel imaging with Morlet wavelet correlated random patterns. A generalized multivariate Student-t mixture model for Bayesian classification and clustering of radar waveforms. Post-hoc labeling of arbitrary EEG recordings for data-efficient e …

Flexible Stereo: Constrained, Non-rigid, Wide-baseline Stereo Vision for Fixed-wing Aerial Platforms. Review on Computer Vision Techniques in Emergency Situation. Prediction of Sea Surface Temperature using Long Short-Term Memory. Video-based Person Re-identification with Accumulative Motion Context. Adaptive Simulation-based Training of AI Decisio …

Language Modeling for Code-Switched Data: Challenges and Approaches. Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification. Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond. Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. Bayesian A …

Interactive Video Object Segmentation in the Wild. Online Multi-Armed Bandit. An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos. Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions. Exact alignment recovery for correlated Erdős-Rényi graphs. Supporting Navigation of Outdoor Sh …