doc_id
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arxiv_id
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title
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text
string
url
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doi
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category
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published
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era
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dendro_not_after
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dendro_human_origin_p
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dendro_ci_low
float64
dendro_ci_high
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dendro_abstained
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dendro_operators
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dendro_evidence_logodds
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arxiv:1906.02780
1906.02780
Syntactically Supervised Transformers for Faster Neural Machine Translation
Syntactically Supervised Transformers for Faster Neural Machine Translation Standard decoders for neural machine translation autoregressively generate a single target token per time step, which slows inference especially for long outputs. While architectural advances such as the Transformer fully parallelize the decod...
https://arxiv.org/abs/1906.02780
10.18653/v1/P19-1122
cs.CL
2019-06-06T00:00:00+00:00
pre2021
2019-06-06
2,019
0.993254
0.84844
0.996127
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-06-06, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1906.12035
1906.12035
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder Multi-criteria Chinese word segmentation (MCCWS) aims to exploit the relations among the multiple heterogeneous segmentation criteria and further improve the performance of each single criterion. Previous work usually regards MCCWS a...
https://arxiv.org/abs/1906.12035
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1907.01660
1907.01660
A flexible EM-like clustering algorithm for noisy data
A flexible EM-like clustering algorithm for noisy data Though very popular, it is well known that the EM for GMM algorithm suffers from non-Gaussian distribution shapes, outliers and high-dimensionality. In this paper, we design a new robust clustering algorithm that can efficiently deal with noise and outliers in div...
https://arxiv.org/abs/1907.01660
null
stat.ML
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1908.03856
1908.03856
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach Object detection from images captured by Unmanned Aerial Vehicles (UAVs) is becoming increasingly useful. Despite the great success of the generic object detection methods trained on ground-to-ground images, a ...
https://arxiv.org/abs/1908.03856
null
cs.CV
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1909.00164
1909.00164
Named Entity Recognition Only from Word Embeddings
Named Entity Recognition Only from Word Embeddings Deep neural network models have helped named entity (NE) recognition achieve amazing performance without handcrafting features. However, existing systems require large amounts of human annotated training data. Efforts have been made to replace human annotations with e...
https://arxiv.org/abs/1909.00164
null
cs.IR
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1909.02560
1909.02560
Robustness to Modification with Shared Words in Paraphrase Identification
Robustness to Modification with Shared Words in Paraphrase Identification Revealing the robustness issues of natural language processing models and improving their robustness is important to their performance under difficult situations. In this paper, we study the robustness of paraphrase identification models from a ...
https://arxiv.org/abs/1909.02560
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1909.08215
1909.08215
Computational multiscale methods for first-order wave equation using mixed CEM-GMsFEM
Computational multiscale methods for first-order wave equation using mixed CEM-GMsFEM In this paper, we consider a pressure-velocity formulation of the heterogeneous wave equation and employ the constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) to solve this problem. The proposed m...
https://arxiv.org/abs/1909.08215
10.1016/j.jcp.2020.109359
math.NA
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1909.13375
1909.13375
A Simple and Effective Model for Answering Multi-span Questions
A Simple and Effective Model for Answering Multi-span Questions Models for reading comprehension (RC) commonly restrict their output space to the set of all single contiguous spans from the input, in order to alleviate the learning problem and avoid the need for a model that generates text explicitly. However, forcing...
https://arxiv.org/abs/1909.13375
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1910.00170
1910.00170
How To Catch A Lion In The Desert -- On The Solution Of The Coverage Directed Generation (CDG) Problem
How To Catch A Lion In The Desert -- On The Solution Of The Coverage Directed Generation (CDG) Problem The testing and verification of a complex hardware or software system, such as modern integrated circuits (ICs) found in everything from smartphones to servers, can be a difficult process. One of the most difficult a...
https://arxiv.org/abs/1910.00170
10.1007/s11081-020-09507-w
math.OC
2019-10-01T00:00:00+00:00
pre2021
2019-10-01
2,019
0.992137
0.846681
0.995891
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-10-01, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.7% of ...
true
arxiv:1910.09949
1910.09949
Statistical Guarantee Optimization for AoI in Single-Hop and Two-Hop Systems with Periodic Arrivals
Statistical Guarantee Optimization for AoI in Single-Hop and Two-Hop Systems with Periodic Arrivals Age of Information (AoI) has proven to be a useful metric in networked systems where timely information updates are of importance. In the literature, minimizing "average age" has received considerable attention. However...
https://arxiv.org/abs/1910.09949
10.1109/TCOMM.2020.3027877
cs.IT
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1910.11678
1910.11678
Breaking an image encryption scheme based on Arnold map and Lucas series
Breaking an image encryption scheme based on Arnold map and Lucas series Fairly recently, a novel image encryption based on Arnold scrambling and Lucas series has been proposed in the literature. The scheme design is based on permutation-substitution operations, where Arnold map is used to permute pixels for some T ro...
https://arxiv.org/abs/1910.11678
10.1007/s11042-020-09815-4
cs.CR
2019-10-19T00:00:00+00:00
pre2021
2019-10-19
2,019
0.991919
0.846339
0.995845
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-10-19, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.7% of ...
true
arxiv:1911.00969
1911.00969
Learning to Scaffold the Development of Robotic Manipulation Skills
Learning to Scaffold the Development of Robotic Manipulation Skills Learning contact-rich, robotic manipulation skills is a challenging problem due to the high-dimensionality of the state and action space as well as uncertainty from noisy sensors and inaccurate motor control. To combat these factors and achieve more r...
https://arxiv.org/abs/1911.00969
null
cs.RO
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1911.01986
1911.01986
Data Diversification: A Simple Strategy For Neural Machine Translation
Data Diversification: A Simple Strategy For Neural Machine Translation We introduce Data Diversification: a simple but effective strategy to boost neural machine translation (NMT) performance. It diversifies the training data by using the predictions of multiple forward and backward models and then merging them with t...
https://arxiv.org/abs/1911.01986
null
cs.CL
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1911.03014
1911.03014
Resurrecting Submodularity for Neural Text Generation
Resurrecting Submodularity for Neural Text Generation Submodularity is desirable for a variety of objectives in content selection where the current neural encoder-decoder framework is inadequate. However, it has so far not been explored in the neural encoder-decoder system for text generation. In this work, we define ...
https://arxiv.org/abs/1911.03014
null
cs.CL
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1911.03154
1911.03154
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation Despite the success of neural machine translation (NMT), simultaneous neural machine translation (SNMT), the task of translating in real time before a full sentence has been observed, remains challenging due to the syntactic s...
https://arxiv.org/abs/1911.03154
null
cs.CL
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1911.03362
1911.03362
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation The quality of neural machine translation can be improved by leveraging additional monolingual resources to create synthetic training data. Source-side monolingual data can be (forward-)translated into the target language for self-traini...
https://arxiv.org/abs/1911.03362
null
cs.CL
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1911.03813
1911.03813
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition We consider the problem of decomposing higher-order moment tensors, i.e., the sum of symmetric outer products of data vectors. Such a decomposition can be used to estimate the means in a Gaussian mixture model and for other applications in machine le...
https://arxiv.org/abs/1911.03813
10.1137/19m1299633
math.NA
2020-04-21T00:00:00+00:00
pre2021
2020-04-21
2,020
0.988625
0.841215
0.995108
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-04-21, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.1% of ...
true
arxiv:1911.05831
1911.05831
A Least-Squares Finite Element Method Based on the Helmholtz Decomposition for Hyperbolic Balance Laws
A Least-Squares Finite Element Method Based on the Helmholtz Decomposition for Hyperbolic Balance Laws In this paper, a least-squares finite element method for scalar nonlinear hyperbolic balance laws is proposed and studied. The approach is based on a formulation that utilizes an appropriate Helmholtz decomposition o...
https://arxiv.org/abs/1911.05831
10.1002/num.22480
math.NA
2020-01-28T00:00:00+00:00
pre2021
2020-01-28
2,020
0.990392
0.843953
0.99551
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-01-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.9% of ...
true
arxiv:1911.07501
1911.07501
Control Limitations due to Zero Dynamics in a Single-Machine Infinite Bus Network
Control Limitations due to Zero Dynamics in a Single-Machine Infinite Bus Network In this work, fundamental control limitations for rotor angle stability are considered. Limitations are identified by characterizing open-loop transfer function zeros for input-output combinations of certain power system configurations. ...
https://arxiv.org/abs/1911.07501
null
eess.SY
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1911.09239
1911.09239
Minimum Time Learning Model Predictive Control
Minimum Time Learning Model Predictive Control In this paper we present a Learning Model Predictive Control (LMPC) strategy for linear and nonlinear time optimal control problems. Our work builds on existing LMPC methodologies and it guarantees finite time convergence properties for the closed-loop system. We show how...
https://arxiv.org/abs/1911.09239
null
eess.SY
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1911.11664
1911.11664
Smart Grid State Estimation with PMUs Time Synchronization Errors
Smart Grid State Estimation with PMUs Time Synchronization Errors We consider the problem of PMU-based state estimation combining information coming from ubiquitous power demand time series and only a limited number of PMUs. Conversely to recent literature in which synchrophasor devices are often assumed perfectly syn...
https://arxiv.org/abs/1911.11664
10.3390/en13195148
math.OC
2019-11-26T00:00:00+00:00
pre2021
2019-11-26
2,019
0.991408
0.845539
0.995734
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-11-26, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.8% of ...
true
arxiv:1912.00539
1912.00539
An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids
An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids We present a study of the effectiveness of asynchronous incomplete LU factorization preconditioners for the time-implicit solution of compressible flow problems while exploiting thread-parallelism within a compute...
https://arxiv.org/abs/1912.00539
null
math.NA
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1912.00614
1912.00614
Idealness of $k$-wise intersecting families
Idealness of $k$-wise intersecting families A clutter is \emph{$k$-wise intersecting} if every $k$ members have a common element, yet no element belongs to all members. We conjecture that, for some integer $k\geq 4$, every $k$-wise intersecting clutter is non-ideal. As evidence for our conjecture, we prove it for $k=4...
https://arxiv.org/abs/1912.00614
null
math.CO
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1912.01198
1912.01198
Towards Understanding the Spectral Bias of Deep Learning
Towards Understanding the Spectral Bias of Deep Learning An intriguing phenomenon observed during training neural networks is the spectral bias, which states that neural networks are biased towards learning less complex functions. The priority of learning functions with low complexity might be at the core of explainin...
https://arxiv.org/abs/1912.01198
null
cs.LG
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1912.06088
1912.06088
Learning to Reach Goals via Iterated Supervised Learning
Learning to Reach Goals via Iterated Supervised Learning Current reinforcement learning (RL) algorithms can be brittle and difficult to use, especially when learning goal-reaching behaviors from sparse rewards. Although supervised imitation learning provides a simple and stable alternative, it requires access to demon...
https://arxiv.org/abs/1912.06088
null
cs.LG
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1912.06227
1912.06227
Theme-Matters: Fashion Compatibility Learning via Theme Attention
Theme-Matters: Fashion Compatibility Learning via Theme Attention Fashion compatibility learning is important to many fashion markets such as outfit composition and online fashion recommendation. Unlike previous work, we argue that fashion compatibility is not only a visual appearance compatible problem but also a the...
https://arxiv.org/abs/1912.06227
null
cs.CV
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1912.06236
1912.06236
Automatic Financial Feature Construction
Automatic Financial Feature Construction In automatic financial feature construction task, the state-of-the-art technic leverages reverse polish expression to represent the features, then use genetic programming (GP) to conduct its evolution process. In this paper, we propose a new framework based on neural network, a...
https://arxiv.org/abs/1912.06236
null
cs.LG
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1912.11615
1912.11615
Deep Graph Similarity Learning: A Survey
Deep Graph Similarity Learning: A Survey In many domains where data are represented as graphs, learning a similarity metric among graphs is considered a key problem, which can further facilitate various learning tasks, such as classification, clustering, and similarity search. Recently, there has been an increasing in...
https://arxiv.org/abs/1912.11615
null
cs.LG
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:1912.12293
1912.12293
On minimal bases and indices of rational matrices and their linearizations
On minimal bases and indices of rational matrices and their linearizations A complete theory of the relationship between the minimal bases and indices of rational matrices and those of their strong linearizations is presented. Such theory is based on establishing first the relationships between the minimal bases and i...
https://arxiv.org/abs/1912.12293
null
math.NA
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2001.03572
2001.03572
Fuel-Efficient Powered Descent Guidance on Large Planetary Bodies via Theory of Functional Connections
Fuel-Efficient Powered Descent Guidance on Large Planetary Bodies via Theory of Functional Connections In this paper we present a new approach to solve the fuel-efficient powered descent guidance problem on large planetary bodies with no atmosphere (e.g. the Moon or Mars) using the recently developed Theory of Functio...
https://arxiv.org/abs/2001.03572
10.1007/s40295-020-00228-x
math.OC
2020-01-10T00:00:00+00:00
pre2021
2020-01-10
2,020
0.990706
0.844442
0.99558
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-01-10, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.9% of ...
true
arxiv:2001.05082
2001.05082
Incentive Analysis of Bitcoin-NG, Revisited
Incentive Analysis of Bitcoin-NG, Revisited Bitcoin-NG is among the first blockchain protocols to approach the \emph{near-optimal} throughput by decoupling blockchain operation into two planes: leader election and transaction serialization. Its decoupling idea has inspired a new generation of high-performance blockcha...
https://arxiv.org/abs/2001.05082
null
cs.CR
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2001.07876
2001.07876
VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking
VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking The modulation of voice properties, such as pitch, volume, and speed, is crucial for delivering a successful public speech. However, it is challenging to master different voice modulation skills. Though many guidelines are a...
https://arxiv.org/abs/2001.07876
10.1145/3313831.3376726
cs.HC
2020-01-22T00:00:00+00:00
pre2021
2020-01-22
2,020
0.990499
0.844119
0.995534
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-01-22, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.9% of ...
true
arxiv:2001.08383
2001.08383
A Multi-site Study of a Breast Density Deep Learning Model for Full-field Digital Mammography Images and Synthetic Mammography Images
A Multi-site Study of a Breast Density Deep Learning Model for Full-field Digital Mammography Images and Synthetic Mammography Images Purpose: To develop a Breast Imaging Reporting and Data System (BI-RADS) breast density deep learning (DL) model in a multi-site setting for synthetic two-dimensional mammography (SM) i...
https://arxiv.org/abs/2001.08383
null
eess.IV
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2002.02492
2002.02492
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding Despite strong performance on a variety of tasks, neural sequence models trained with maximum likelihood have been shown to exhibit issues such as length bias and degenerate repetition. We study the related issue of receiving infinite-length...
https://arxiv.org/abs/2002.02492
null
cs.LG
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2002.02609
2002.02609
Image Fine-grained Inpainting
Image Fine-grained Inpainting Image inpainting techniques have shown promising improvement with the assistance of generative adversarial networks (GANs) recently. However, most of them often suffered from completed results with unreasonable structure or blurriness. To mitigate this problem, in this paper, we present a...
https://arxiv.org/abs/2002.02609
null
cs.CV
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2002.02925
2002.02925
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing In this paper, we propose a novel model compression approach to effectively compress BERT by progressive module replacing. Our approach first divides the original BERT into several modules and builds their compact substitutes. Then, we randomly replace ...
https://arxiv.org/abs/2002.02925
null
cs.CL
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2002.07367
2002.07367
Distributional Sliced-Wasserstein and Applications to Generative Modeling
Distributional Sliced-Wasserstein and Applications to Generative Modeling Sliced-Wasserstein distance (SW) and its variant, Max Sliced-Wasserstein distance (Max-SW), have been used widely in the recent years due to their fast computation and scalability even when the probability measures lie in a very high dimensional...
https://arxiv.org/abs/2002.07367
null
stat.ML
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2002.09131
2002.09131
Convolutional Tensor-Train LSTM for Spatio-temporal Learning
Convolutional Tensor-Train LSTM for Spatio-temporal Learning Learning from spatio-temporal data has numerous applications such as human-behavior analysis, object tracking, video compression, and physics simulation.However, existing methods still perform poorly on challenging video tasks such as long-term forecasting. ...
https://arxiv.org/abs/2002.09131
null
cs.LG
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2002.10260
2002.10260
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation Transformer-based models have brought a radical change to neural machine translation. A key feature of the Transformer architecture is the so-called multi-head attention mechanism, which allows the model to focus simultaneously on different...
https://arxiv.org/abs/2002.10260
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2003.02693
2003.02693
Revisiting Transactional Statistics of High-scalability Blockchains
Revisiting Transactional Statistics of High-scalability Blockchains Scalability has been a bottleneck for major blockchains such as Bitcoin and Ethereum. Despite the significantly improved scalability claimed by several high--profile blockchain projects, there has been little effort to understand how their transaction...
https://arxiv.org/abs/2003.02693
10.1145/3419394.3423628
cs.CR
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2003.02739
2003.02739
Zero-Shot Cross-Lingual Transfer with Meta Learning
Zero-Shot Cross-Lingual Transfer with Meta Learning Learning what to share between tasks has been a topic of great importance recently, as strategic sharing of knowledge has been shown to improve downstream task performance. This is particularly important for multilingual applications, as most languages in the world a...
https://arxiv.org/abs/2003.02739
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2003.04166
2003.04166
Learning entropy production via neural networks
Learning entropy production via neural networks This Letter presents a neural estimator for entropy production, or NEEP, that estimates entropy production (EP) from trajectories of relevant variables without detailed information on the system dynamics. For steady state, we rigorously prove that the estimator, which ca...
https://arxiv.org/abs/2003.04166
10.1103/PhysRevLett.125.140604
cond-mat.stat-mech
2020-09-12T00:00:00+00:00
pre2021
2020-09-12
2,020
0.984043
0.834224
0.993995
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-09-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.5% of ...
true
arxiv:2003.06005
2003.06005
Model Agnostic Multilevel Explanations
Model Agnostic Multilevel Explanations In recent years, post-hoc local instance-level and global dataset-level explainability of black-box models has received a lot of attention. Much less attention has been given to obtaining insights at intermediate or group levels, which is a need outlined in recent works that stud...
https://arxiv.org/abs/2003.06005
null
cs.LG
2020-03-12T00:00:00+00:00
pre2021
2020-03-12
2,020
0.989533
0.842619
0.995317
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-03-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.0% of ...
true
arxiv:2003.10474
2003.10474
Discontinuous Galerkin method for a distributed optimal control problem governed by a time fractional diffusion equation
Discontinuous Galerkin method for a distributed optimal control problem governed by a time fractional diffusion equation This paper is devoted to the numerical analysis of a control constrained distributed optimal control problem subject to a time fractional diffusion equation with non-smooth initial data. The solutio...
https://arxiv.org/abs/2003.10474
null
math.NA
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2003.11580
2003.11580
Property Graph Schema Optimization for Domain-Specific Knowledge Graphs
Property Graph Schema Optimization for Domain-Specific Knowledge Graphs Enterprises are creating domain-specific knowledge graphs by curating and integrating their business data from multiple sources. The data in these knowledge graphs can be described using ontologies, which provide a semantic abstraction to define t...
https://arxiv.org/abs/2003.11580
null
cs.DB
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2003.11713
2003.11713
Event-Driven Receding Horizon Control For Distributed Persistent Monitoring in Network Systems
Event-Driven Receding Horizon Control For Distributed Persistent Monitoring in Network Systems We address the multi-agent persistent monitoring problem defined on a set of nodes (targets) interconnected over a network topology. A measure of mean overall node state uncertainty evaluated over a finite period is to be mi...
https://arxiv.org/abs/2003.11713
null
eess.SY
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2003.13933
2003.13933
Inference with Aggregate Data: An Optimal Transport Approach
Inference with Aggregate Data: An Optimal Transport Approach We consider inference (filtering) problems over probabilistic graphical models with aggregate data generated by a large population of individuals. We propose a new efficient belief propagation type algorithm over tree-structured graphs with polynomial comput...
https://arxiv.org/abs/2003.13933
null
cs.LG
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2003.14158
2003.14158
Data-Driven Internal Model Control of Second-Order Discrete Volterra Systems
Data-Driven Internal Model Control of Second-Order Discrete Volterra Systems The increase in system complexity paired with a growing availability of operational data has motivated a change in the traditional control design paradigm. Instead of modeling the system by first principles and then proceeding with a (model-b...
https://arxiv.org/abs/2003.14158
null
math.OC
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.02644
2004.02644
Sparse Text Generation
Sparse Text Generation Current state-of-the-art text generators build on powerful language models such as GPT-2, achieving impressive performance. However, to avoid degenerate text, they require sampling from a modified softmax, via temperature parameters or ad-hoc truncation techniques, as in top-$k$ or nucleus sampl...
https://arxiv.org/abs/2004.02644
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.02707
2004.02707
Sub-Instruction Aware Vision-and-Language Navigation
Sub-Instruction Aware Vision-and-Language Navigation Vision-and-language navigation requires an agent to navigate through a real 3D environment following natural language instructions. Despite significant advances, few previous works are able to fully utilize the strong correspondence between the visual and textual se...
https://arxiv.org/abs/2004.02707
null
cs.CV
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.03289
2004.03289
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding Natural language inference (NLI) and semantic textual similarity (STS) are key tasks in natural language understanding (NLU). Although several benchmark datasets for those tasks have been released in English and a few other languages, ...
https://arxiv.org/abs/2004.03289
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.03720
2004.03720
Byte Pair Encoding is Suboptimal for Language Model Pretraining
Byte Pair Encoding is Suboptimal for Language Model Pretraining The success of pretrained transformer language models (LMs) in natural language processing has led to a wide range of pretraining setups. In particular, these models employ a variety of subword tokenization methods, most notably byte-pair encoding (BPE) (...
https://arxiv.org/abs/2004.03720
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.03738
2004.03738
Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation
Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation The Internet of Things (IoT) has started to empower the future of many industrial and mass-market applications. Localization techniques are becoming key to add location context to IoT data without human perception and inte...
https://arxiv.org/abs/2004.03738
10.1109/JIOT.2020.3019199
cs.NI
2020-04-07T00:00:00+00:00
pre2021
2020-04-07
2,020
0.988957
0.841729
0.995185
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-04-07, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.0% of ...
true
arxiv:2004.03875
2004.03875
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation News headline generation aims to produce a short sentence to attract readers to read the news. One news article often contains multiple keyphrases that are of interest to different users, which can naturally have multipl...
https://arxiv.org/abs/2004.03875
null
cs.CL
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.03996
2004.03996
Domain decomposition preconditioners for high-order discretisations of the heterogeneous Helmholtz equation
Domain decomposition preconditioners for high-order discretisations of the heterogeneous Helmholtz equation We consider one-level additive Schwarz domain decomposition preconditioners for the Helmholtz equation with variable coefficients (modelling wave propagation in heterogeneous media), subject to boundary conditio...
https://arxiv.org/abs/2004.03996
null
math.NA
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.05119
2004.05119
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer Fine-tuning (FT) pre-trained sentence embedding models on small datasets has been shown to have limitations. In this paper we show that concatenating the embeddings from the pre-trained model with those from a simple sentence embedding model trained only on th...
https://arxiv.org/abs/2004.05119
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.05290
2004.05290
A Convex Parameterization of Robust Recurrent Neural Networks
A Convex Parameterization of Robust Recurrent Neural Networks Recurrent neural networks (RNNs) are a class of nonlinear dynamical systems often used to model sequence-to-sequence maps. RNNs have excellent expressive power but lack the stability or robustness guarantees that are necessary for many applications. In this...
https://arxiv.org/abs/2004.05290
null
cs.LG
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.09813
2004.09813
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation We present an easy and efficient method to extend existing sentence embedding models to new languages. This allows to create multilingual versions from previously monolingual models. The training is based on the idea that a translated sen...
https://arxiv.org/abs/2004.09813
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.10645
2004.10645
AmbigQA: Answering Ambiguous Open-domain Questions
AmbigQA: Answering Ambiguous Open-domain Questions Ambiguity is inherent to open-domain question answering; especially when exploring new topics, it can be difficult to ask questions that have a single, unambiguous answer. In this paper, we introduce AmbigQA, a new open-domain question answering task which involves fi...
https://arxiv.org/abs/2004.10645
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.12346
2004.12346
Strong bounded variation estimates for the multi-dimensional finite volume approximation of scalar conservation laws and application to a tumour growth model
Strong bounded variation estimates for the multi-dimensional finite volume approximation of scalar conservation laws and application to a tumour growth model A uniform bounded variation estimate for finite volume approximations of the nonlinear scalar conservation law $\partial_t α+ \mathrm{div}(\boldsymbol{u}f(α)) ...
https://arxiv.org/abs/2004.12346
null
math.NA
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.12487
2004.12487
Mixed $(\mathcal{L}\mathcal{L}^*)^{-1}$ and $\mathcal{L}\mathcal{L}^*$ least-squares finite element methods with application to linear hyperbolic problems
Mixed $(\mathcal{L}\mathcal{L}^*)^{-1}$ and $\mathcal{L}\mathcal{L}^*$ least-squares finite element methods with application to linear hyperbolic problems In this paper, a few dual least-squares finite element methods and their application to scalar linear hyperbolic problems are studied. The purpose is to obtain $L^2...
https://arxiv.org/abs/2004.12487
10.1002/nla.2150
math.NA
2020-04-26T00:00:00+00:00
pre2021
2020-04-26
2,020
0.988502
0.841026
0.99508
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-04-26, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.1% of ...
true
arxiv:2004.14198
2004.14198
Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis
Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis The human language can be expressed through multiple sources of information known as modalities, including tones of voice, facial gestures, and spoken language. Recent multimodal learning with strong performances on human-c...
https://arxiv.org/abs/2004.14198
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.14201
2004.14201
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection We study the detection of propagandistic text fragments in news articles. Instead of merely learning from input-output datapoints in training data, we introduce an approach to inject declarative knowledge of fine-grain...
https://arxiv.org/abs/2004.14201
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.14218
2004.14218
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning Recently, fine-tuning pre-trained language models (e.g., multilingual BERT) to downstream cross-lingual tasks has shown promising results. However, the fine-tuning process inevitably changes the parameters of the pre-trained m...
https://arxiv.org/abs/2004.14218
null
cs.CL
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.14231
2004.14231
Image Captioning through Image Transformer
Image Captioning through Image Transformer Automatic captioning of images is a task that combines the challenges of image analysis and text generation. One important aspect in captioning is the notion of attention: How to decide what to describe and in which order. Inspired by the successes in text analysis and transl...
https://arxiv.org/abs/2004.14231
null
cs.CV
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.14437
2004.14437
Analyzing Smart Contracts: From EVM to a sound Control-Flow Graph
Analyzing Smart Contracts: From EVM to a sound Control-Flow Graph The EVM language is a simple stack-based language with words of 256 bits, with one significant difference between the EVM and other virtual machine languages (like Java Bytecode or CLI for .Net programs): the use of the stack for saving the jump address...
https://arxiv.org/abs/2004.14437
null
cs.PL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.14577
2004.14577
Exploring Contextualized Neural Language Models for Temporal Dependency Parsing
Exploring Contextualized Neural Language Models for Temporal Dependency Parsing Extracting temporal relations between events and time expressions has many applications such as constructing event timelines and time-related question answering. It is a challenging problem which requires syntactic and semantic information...
https://arxiv.org/abs/2004.14577
null
cs.CL
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2004.14974
2004.14974
Fact or Fiction: Verifying Scientific Claims
Fact or Fiction: Verifying Scientific Claims We introduce scientific claim verification, a new task to select abstracts from the research literature containing evidence that SUPPORTS or REFUTES a given scientific claim, and to identify rationales justifying each decision. To study this task, we construct SciFact, a da...
https://arxiv.org/abs/2004.14974
null
cs.CL
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2005.05909
2005.05909
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP While there has been substantial research using adversarial attacks to analyze NLP models, each attack is implemented in its own code repository. It remains challenging to develop NLP attacks and utilize them to improve...
https://arxiv.org/abs/2005.05909
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2005.07783
2005.07783
On the Information Plane of Autoencoders
On the Information Plane of Autoencoders The training dynamics of hidden layers in deep learning are poorly understood in theory. Recently, the Information Plane (IP) was proposed to analyze them, which is based on the information-theoretic concept of mutual information (MI). The Information Bottleneck (IB) theory pre...
https://arxiv.org/abs/2005.07783
10.1109/IJCNN48605.2020.9207269
cs.LG
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2005.07795
2005.07795
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection The brain electrical activity presents several short events during sleep that can be observed as distinctive micro-structures in the electroencephalogram (EEG), such as sleep spindles and K-complexes. These events have been associated with biological pr...
https://arxiv.org/abs/2005.07795
10.1109/IJCNN48605.2020.9207719
eess.SP
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2005.07799
2005.07799
JDI-T: Jointly trained Duration Informed Transformer for Text-To-Speech without Explicit Alignment
JDI-T: Jointly trained Duration Informed Transformer for Text-To-Speech without Explicit Alignment We propose Jointly trained Duration Informed Transformer (JDI-T), a feed-forward Transformer with a duration predictor jointly trained without explicit alignments in order to generate an acoustic feature sequence from an...
https://arxiv.org/abs/2005.07799
null
eess.AS
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2005.09774
2005.09774
Weak and Semi-Contraction for Network Systems and Diffusively-Coupled Oscillators
Weak and Semi-Contraction for Network Systems and Diffusively-Coupled Oscillators We develop two generalizations of contraction theory, namely, semi-contraction and weak-contraction theory. First, using the notion of semi-norm, we propose a geometric framework for semi-contraction theory. We introduce matrix semi-meas...
https://arxiv.org/abs/2005.09774
null
eess.SY
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2005.09921
2005.09921
End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors
End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors End-to-end speaker diarization for an unknown number of speakers is addressed in this paper. Recently proposed end-to-end speaker diarization outperformed conventional clustering-based speaker diarization, but it has...
https://arxiv.org/abs/2005.09921
null
eess.AS
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2005.10006
2005.10006
The Hetero-functional Graph Theory Toolbox
The Hetero-functional Graph Theory Toolbox In the 20th century, newly invented technical artifacts were connected to form large-scale complex engineering systems. Furthermore, the interactions found within these networked systems has grown in both degree as well as heterogeneity. Consequently, these already complex en...
https://arxiv.org/abs/2005.10006
null
cs.CE
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2005.10200
2005.10200
BERTweet: A pre-trained language model for English Tweets
BERTweet: A pre-trained language model for English Tweets We present BERTweet, the first public large-scale pre-trained language model for English Tweets. Our BERTweet, having the same architecture as BERT-base (Devlin et al., 2019), is trained using the RoBERTa pre-training procedure (Liu et al., 2019). Experiments s...
https://arxiv.org/abs/2005.10200
null
cs.CL
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.00555
2006.00555
Transferring Inductive Biases through Knowledge Distillation
Transferring Inductive Biases through Knowledge Distillation Having the right inductive biases can be crucial in many tasks or scenarios where data or computing resources are a limiting factor, or where training data is not perfectly representative of the conditions at test time. However, defining, designing and effic...
https://arxiv.org/abs/2006.00555
null
cs.LG
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.03176
2006.03176
Partitioned Learned Bloom Filter
Partitioned Learned Bloom Filter Bloom filters are space-efficient probabilistic data structures that are used to test whether an element is a member of a set, and may return false positives. Recently, variations referred to as learned Bloom filters were developed that can provide improved performance in terms of the ...
https://arxiv.org/abs/2006.03176
null
cs.DS
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.03859
2006.03859
Online learning of both state and dynamics using ensemble Kalman filters
Online learning of both state and dynamics using ensemble Kalman filters The reconstruction of the dynamics of an observed physical system as a surrogate model has been brought to the fore by recent advances in machine learning. To deal with partial and noisy observations in that endeavor, machine learning representat...
https://arxiv.org/abs/2006.03859
10.3934/fods.2020015
stat.ML
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.04275
2006.04275
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation Recommender systems learn from historical users' feedback that is often non-uniformly distributed across items. As a consequence, these systems may end up suggesting popular items more than niche items progressively, even wh...
https://arxiv.org/abs/2006.04275
10.1016/j.ipm.2020.102387
cs.IR
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.04334
2006.04334
Characterizing Sociolinguistic Variation in the Competing Vaccination Communities
Characterizing Sociolinguistic Variation in the Competing Vaccination Communities Public health practitioners and policy makers grapple with the challenge of devising effective message-based interventions for debunking public health misinformation in cyber communities. "Framing" and "personalization" of the message is...
https://arxiv.org/abs/2006.04334
null
cs.SI
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.05113
2006.05113
Human brain activity for machine attention
Human brain activity for machine attention Cognitively inspired NLP leverages human-derived data to teach machines about language processing mechanisms. Recently, neural networks have been augmented with behavioral data to solve a range of NLP tasks spanning syntax and semantics. We are the first to exploit neuroscien...
https://arxiv.org/abs/2006.05113
null
cs.CL
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.05400
2006.05400
SALD: Sign Agnostic Learning with Derivatives
SALD: Sign Agnostic Learning with Derivatives Learning 3D geometry directly from raw data, such as point clouds, triangle soups, or unoriented meshes is still a challenging task that feeds many downstream computer vision and graphics applications. In this paper, we introduce SALD: a method for learning implicit neural...
https://arxiv.org/abs/2006.05400
null
cs.CV
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.05910
2006.05910
Making Non-Stochastic Control (Almost) as Easy as Stochastic
Making Non-Stochastic Control (Almost) as Easy as Stochastic Recent literature has made much progress in understanding \emph{online LQR}: a modern learning-theoretic take on the classical control problem in which a learner attempts to optimally control an unknown linear dynamical system with fully observed state, pert...
https://arxiv.org/abs/2006.05910
null
cs.LG
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.05974
2006.05974
Provably robust verification of dissipativity properties from data
Provably robust verification of dissipativity properties from data Dissipativity properties have proven to be very valuable for systems analysis and controller design. With the rising amount of available data, there has therefore been an increasing interest in determining dissipativity properties from (measured) traje...
https://arxiv.org/abs/2006.05974
null
eess.SY
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.08698
2006.08698
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds While modern deep neural architectures generalise well when test data is sampled from the same distribution as training data, they fail badly for cases when the test data distribution differs from the training distribution even along a f...
https://arxiv.org/abs/2006.08698
null
cs.LG
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.08785
2006.08785
On Effective Parallelization of Monte Carlo Tree Search
On Effective Parallelization of Monte Carlo Tree Search Despite its groundbreaking success in Go and computer games, Monte Carlo Tree Search (MCTS) is computationally expensive as it requires a substantial number of rollouts to construct the search tree, which calls for effective parallelization. However, how to desig...
https://arxiv.org/abs/2006.08785
null
cs.LG
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.08796
2006.08796
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification The attention mechanism has demonstrated superior performance for inference over nodes in graph neural networks (GNNs), however, they result in a high computational burden during both training and inference. We propose FastGAT, a metho...
https://arxiv.org/abs/2006.08796
null
cs.LG
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.09289
2006.09289
Isometric Autoencoders
Isometric Autoencoders High dimensional data is often assumed to be concentrated on or near a low-dimensional manifold. Autoencoders (AE) is a popular technique to learn representations of such data by pushing it through a neural network with a low dimension bottleneck while minimizing a reconstruction error. Using hi...
https://arxiv.org/abs/2006.09289
null
cs.LG
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.10873
2006.10873
Generative Patch Priors for Practical Compressive Image Recovery
Generative Patch Priors for Practical Compressive Image Recovery In this paper, we propose the generative patch prior (GPP) that defines a generative prior for compressive image recovery, based on patch-manifold models. Unlike learned, image-level priors that are restricted to the range space of a pre-trained generato...
https://arxiv.org/abs/2006.10873
null
cs.CV
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.11653
2006.11653
Towards Understanding Label Smoothing
Towards Understanding Label Smoothing Label smoothing regularization (LSR) has a great success in training deep neural networks by stochastic algorithms such as stochastic gradient descent and its variants. However, the theoretical understanding of its power from the view of optimization is still rare. This study open...
https://arxiv.org/abs/2006.11653
null
cs.LG
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.12250
2006.12250
Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images
Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images Recovering the 3D shape of an object from single or multiple images with deep neural networks has been attracting increasing attention in the past few years. Mainstream works (e.g. 3D-R2N2) use recurrent neural networks (RNNs...
https://arxiv.org/abs/2006.12250
10.1007/s11263-020-01347-6
cs.CV
2020-07-07T00:00:00+00:00
pre2021
2020-07-07
2,020
0.986466
0.837902
0.994596
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-07-07, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.3% of ...
true
arxiv:2006.12987
2006.12987
Exemplar Loss for Siamese Network in Visual Tracking
Exemplar Loss for Siamese Network in Visual Tracking Visual tracking plays an important role in perception system, which is a crucial part of intelligent transportation. Recently, Siamese network is a hot topic for visual tracking to estimate moving targets' trajectory, due to its superior accuracy and simple framewor...
https://arxiv.org/abs/2006.12987
null
cs.CV
2020-10-04T00:00:00+00:00
pre2021
2020-10-04
2,020
0.983115
0.832825
0.993757
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-04, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.13670
2006.13670
GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Models
GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Models Incorporating prior structure information into the visual state estimation could generally improve the localization performance. In this letter, we aim to address the paradox between accuracy and efficiency in coupling visual factors with st...
https://arxiv.org/abs/2006.13670
10.1109/LRA.2020.3005130
cs.RO
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.15892
2006.15892
Matrix Shuffle-Exchange Networks for Hard 2D Tasks
Matrix Shuffle-Exchange Networks for Hard 2D Tasks Convolutional neural networks have become the main tools for processing two-dimensional data. They work well for images, yet convolutions have a limited receptive field that prevents its applications to more complex 2D tasks. We propose a new neural model, called Matr...
https://arxiv.org/abs/2006.15892
null
cs.LG
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2006.15960
2006.15960
End-Effect Exploration Drive for Effective Motor Learning
End-Effect Exploration Drive for Effective Motor Learning Stemming on the idea that a key objective in reinforcement learning is to invert a target distribution of effects, end-effect drives are proposed as an effective way to implement goal-directed motor learning, in the absence of an explicit forward model. An end-...
https://arxiv.org/abs/2006.15960
null
cs.AI
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2007.00080
2007.00080
Provably More Efficient Q-Learning in the One-Sided-Feedback/Full-Feedback Settings
Provably More Efficient Q-Learning in the One-Sided-Feedback/Full-Feedback Settings Motivated by the episodic version of the classical inventory control problem, we propose a new Q-learning-based algorithm, Elimination-Based Half-Q-Learning (HQL), that enjoys improved efficiency over existing algorithms for a wide var...
https://arxiv.org/abs/2007.00080
null
cs.LG
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2007.05520
2007.05520
Representations for Stable Off-Policy Reinforcement Learning
Representations for Stable Off-Policy Reinforcement Learning Reinforcement learning with function approximation can be unstable and even divergent, especially when combined with off-policy learning and Bellman updates. In deep reinforcement learning, these issues have been dealt with empirically by adapting and regula...
https://arxiv.org/abs/2007.05520
null
cs.LG
2020-10-02T00:00:00+00:00
pre2021
2020-10-02
2,020
0.983203
0.832957
0.99378
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2007.06022
2007.06022
Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey
Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey Internet of Vehicles (IoV) is an emerging concept that is believed to help realise the vision of intelligent transportation systems (ITS). IoV has become an important research area of impactful applications in recent years due...
https://arxiv.org/abs/2007.06022
10.1109/JIOT.2020.3028368
cs.CR
2020-10-03T00:00:00+00:00
pre2021
2020-10-03
2,020
0.983159
0.832891
0.993769
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true
arxiv:2007.08689
2007.08689
Maximum-Likelihood Channel Decoding with Quantum Annealing Machine
Maximum-Likelihood Channel Decoding with Quantum Annealing Machine We formulate maximum likelihood (ML) channel decoding as a quadratic unconstraint binary optimization (QUBO) and simulate the decoding by the current commercial quantum annealing machine, D-Wave 2000Q. We prepared two implementations with Ising model f...
https://arxiv.org/abs/2007.08689
null
cs.IT
2020-10-05T00:00:00+00:00
pre2021
2020-10-05
2,020
0.983072
0.832759
0.993746
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2020-10-05, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~1.6% of ...
true