A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
A Relation Learning Hierarchical Framework for Multi-label Charge Prediction
[chapter]
2020
Lecture Notes in Computer Science
Preserved Fulltext
NLN mitigates the dynamic label number by learning the co-occurring relation between labels. Moreover, we put the two models into a unified framework to enhance their effects. ...
In legal field, multi-label charge prediction is a popular and foundational task to predict charges (labels) by a case description (a fact). ...
For a fact X, using a feature extractor can gain its knowledge-free representation h 1 . For X and all provisionsX, we get a knowledge-aware representation h 2 by DMA. ...
doi:10.1007/978-3-030-47436-2_55
fatcat:oaw4vjt2kjahhpbbghes2myvxi
Slices of Attention in Asynchronous Video Job Interviews
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Second, we study the content of attention slices by comparing them with randomly sampled slices. ...
However, these studies are still mainly based on hand engineered features, which imposes a limit to the discovery of influential social signals. ...
ACKNOWLEDGMENT This work was supported by the company EASYRECRUE. We would like to thank Jeremy Langlais and Amandine Reitz for their support and their help. ...
arXiv:1909.08845v1
fatcat:vw7coxdyy5hltoylbzwgrm3eka
Slices of Attention in Asynchronous Video Job Interviews
2019
2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Second, we study the content of attention slices by comparing them with randomly sampled slices. ...
However, these studies are still mainly based on hand engineered features, which imposes a limit to the discovery of influential social signals. ...
ACKNOWLEDGMENT This work was supported by the company EASYRECRUE. We would like to thank Jeremy Langlais and Amandine Reitz for their support and their help. ...
doi:10.1109/acii.2019.8925439
dblp:conf/acii/HemamouFMC19
fatcat:vlar6u2uyncrbajpmbqlpr4fum
Computational Complexity and the Function-Structure-Environment Loop of the Brain
[chapter]
2016
Closed Loop Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Computational complexity is a potentially useful conceptual framework because it enables the meaningful study of the family of possible structures as a whole-the study of "the brain," as opposed to some ...
The language of computational complexity also provides a means of formally capturing capabilities of the brain, which may otherwise be philosophically thorny. ...
Acknowledgements I thank Sashank Varma and Frank Jäkel for a series of conversations that shaped the section on identifiability and invariance, and their comments on a previous draft. ...
doi:10.1016/b978-0-12-802452-2.00010-x
fatcat:rkkz7mzmrbh73e2xatpilouk6u
The Effect of Dwell Time on Swipe-based Pie-Menu Navigation Efficiency
2020
International Journal of Online and Biomedical Engineering (iJOE)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We propose a solution that synergistically encompasses important design features for a given context: radial menu visualization, semi-transparency, manual repositioning, occlusion awareness, and marking ...
From the menu navigation efficiency standpoint, dwell time represents one of the most influential factors in such a design. ...
A pointer controlled by the finger is used to select a certain menu item in order to avoid the occlusion problem. ...
doi:10.3991/ijoe.v16i15.17763
fatcat:dtkphe2uuzguzikeczxkvoxbp4
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Also, to alleviate some of the limitations that CATs may face, i.e., high computational costs induced by the use of a standard transformer that its complexity grows with the size of spatial and feature ...
Our proposed methods outperform the previous state-of-the-art methods by large margins, setting a new state-of-the-art for all the benchmarks, including PF-WILLOW, PF-PASCAL, and SPair-71k. ...
of the positional information by providing a learnable embedding [42] rather than a fixed [41] as shown in Fig. 4 . ...
arXiv:2202.06817v1
fatcat:pdwkvhrcwzfzbnjr2nj5w7xkuq
DARPA's Role in Machine Learning
2020
The AI Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
models, the integration of multiple machine learning approaches into a task-specific system, and neural network technology. ...
This article describes four threads of machine learning research supported and guided by the Defense Advanced Research Projects Agency — probabilistic modeling for speech recognition, probabilistic relational ...
Taken from Andrew Ng's talk, unsupervised Feature Learning and Deep Learning www.csee.umbc.edu/courses/ pub/www/courses/graduate/678/fall14/visionaudio.pdf ...
doi:10.1609/aimag.v41i2.5298
fatcat:p2tsjhuk6fd6xhp4ttyufsrpay
Influence Maximization on Social Graphs: A Survey
2018
IEEE Transactions on Knowledge and Data Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Influence Maximization (IM), which selects a set of k users (called seed set) from a social network to maximize the expected number of influenced users (called influence spread), is a key algorithmic problem ...
models that capture information diffusion process and build the foundation of the IM problem, (2) a fine-grained taxonomy to classify existing IM algorithms based on their design objectives, (3) a rigorous ...
The Linear Threshold (LT) Model Linear Threshold (LT) is also a seminal diffusion model, which is introduced by Granovetter and Schelling [39] , [94] in 1978. ...
doi:10.1109/tkde.2018.2807843
fatcat:f6vnhknlevckbkqwkkqotgalc4
The Utility of Abstaining in Binary Classification
[article]
2015
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This is directly motivated by applications like medical diagnosis and fraud risk assessment, in which incorrect predictions have potentially calamitous consequences. ...
We focus on a recent spate of theoretically driven work in this area that characterizes how allowing abstentions can lead to fewer errors in very general settings. ...
Abstaining in the KWIK Model In this section, we describe a general model which has been influential in recent advances in the abstention literature. ...
arXiv:1512.08133v1
fatcat:q7ekqcjdsnahnjmgpgpzdwqrba
Intelligence, physics and information – the tradeoff between accuracy and simplicity in machine learning
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Inspired by how physicists model the world, we introduce a paradigm and an AI Physicist agent for simultaneously learning many small specialized models (theories) and the domain they are accurate, which ...
Fourthly, to make models more robust to label noise, we introduce Rank Pruning, a robust algorithm for classification with noisy labels. ...
Another closely related field is sparse learning/feature selection methods. ...
arXiv:2001.03780v2
fatcat:piduzlhoafcjhhsgthulbbhtke
The impact of video encoding parameters and game type on QoE for cloud gaming: A case study using the steam platform
2015
2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We test our hypothesis through a series of subjective tests on the streaming solution of the Steam In-home streaming platform. ...
results has received funding from the project "Information and communication technology for generic and energy-efficient communication solutions with application in e-/m-health (ICTGEN))" co-financed by ...
configurations QoE features for both games, as shown in
Fig. 4 . 4 Summary of linear regression models for QoE with video parameters and QoE features Fig. 5. ...
doi:10.1109/qomex.2015.7148144
dblp:conf/qomex/SlivarSS15
fatcat:slt7dxrbjnc4re7pzumyopgf2y
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2111.08450v1 fatcat:hva3hggxz5htvft5goz2trrp7i
The objective of this study is to develop and test a novel structured deep-learning modeling framework for urban flood nowcasting by integrating physics-based and human-sensed features. ...
Third, its attention mechanism enables the model to direct its focus on the most influential features that vary dynamically. ...
Systems Resilience to Urban Flooding: Integrated Assessment of Social, Institutional, and Physical Networks and the funding support from the X-Grant program (Presidential Excellence Fund) from Texas A& ...
arXiv:2111.08450v2
fatcat:6ockrwwz7fgfnhnmaynmcgtwwy
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
2018
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We incorporate such masks in CNNs and replace the convolution operation with a "segmentationaware" variant that allows a neuron to selectively attend to inputs coming from its own region. ...
We call the resulting network a segmentation-aware CNN because it adapts its filters at each image point according to local segmentation cues. ...
behavior to the image content. ...
doi:10.1109/tpami.2017.2699184
pmid:28463186
fatcat:44cino7l4jfjngddvqw44srupm
Deep Learning on Knowledge Graph for Recommender System: A Survey
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we provide a comprehensive survey of the GNN-based knowledge-aware deep recommender systems. ...
A knowledge graph is capable of encoding high-order relations that connect two objects with one or multiple related attributes. ...
By sampling a fixed number of neighboring nodes, a node may lose its influential neighbors. ...
arXiv:2004.00387v1
fatcat:vowfwf7dhnau7nzrlnkjl3a2de
DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We first devise a time-window LSTM model for content popularity prediction and cascade geo-distribution estimation. ...
In this paper, we take a new direction of popularity-aware content placement in a closed social network (e.g., WeChat Moment) where user's privacy is highly enhanced. ...
[11] represent a cascade by five classes of features (content features, original poster features, resharer features, structural features and temporal features) and then use machine learning classifiers ...
arXiv:2003.03971v1
fatcat:xnldollrkfblna3bk5n4lqgwgy
« Previous
Showing results 1 — 15 out of 502 results