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SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors
Efficient error-controlled lossy compressors are becoming critical to th...
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SDC Resilient Error-bounded Lossy Compressor
Lossy compression is one of the most important strategies to resolve the...
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cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data
Error-bounded lossy compression is a state-of-the-art data reduction tec...
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Dependency Aware Filter Pruning
Convolutional neural networks (CNNs) are typically over-parameterized, b...
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Algorithm-Based Fault Tolerance for Convolutional Neural Networks
Convolutional neural networks (CNNs) are becoming more and more importan...
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Deep Hough Transform for Semantic Line Detection
In this paper, we put forward a simple yet effective method to detect me...
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Model-Agnostic Structured Sparsification with Learnable Channel Shuffle
Recent advances in convolutional neural networks (CNNs) usually come wit...
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LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search
Motivation: Predicting the secondary structure of an RNA sequence is use...
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Deep Differentiable Random Forests for Age Estimation
Age estimation from facial images is typically cast as a label distribut...
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Translate-to-Recognize Networks for RGB-D Scene Recognition
Cross-modal transfer is helpful to enhance modality-specific discriminat...
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Res2Net: A New Multi-scale Backbone Architecture
Representing features at multiple scales is of great importance for nume...
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When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)
In neural text generation such as neural machine translation, summarizat...
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Optimizing the F-measure for Threshold-free Salient Object Detection
Current CNN-based solutions to salient object detection (SOD) mainly rel...
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Hi-Fi: Hierarchical Feature Integration for Skeleton Detection
In natural images, skeleton scales (thickness) may significantly vary am...
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Deep Regression Forests for Age Estimation
Age estimation from facial images is typically cast as a nonlinear regre...
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OSU Multimodal Machine Translation System Report
This paper describes Oregon State University's submissions to the shared...
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Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
Sentence-level classification and sequential labeling are two fundamenta...
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Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank
Discourse parsing has long been treated as a stand-alone problem indepen...
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Textual Entailment with Structured Attentions and Composition
Deep learning techniques are increasingly popular in the textual entailm...
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DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Object skeletons are useful for object representation and object detecti...
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Urban Pulse: Capturing the Rhythm of Cities
Cities are inherently dynamic. Interesting patterns of behavior typicall...
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Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs
Object skeleton is a useful cue for object detection, complementary to t...
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Type-Driven Incremental Semantic Parsing with Polymorphism
Semantic parsing has made significant progress, but most current semanti...
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