id stringlengths 9 10 | submitter stringlengths 1 64 ⌀ | authors stringlengths 4 20.7k | title stringlengths 4 246 | comments stringlengths 1 523 ⌀ | journal-ref stringlengths 4 404 ⌀ | doi stringlengths 11 153 ⌀ | report-no stringlengths 2 254 ⌀ | categories stringlengths 5 98 | license stringclasses 9
values | orig_abstract stringlengths 14 3.35k | versions listlengths 1 60 | update_date stringlengths 10 10 | authors_parsed listlengths 1 1.35k | abstract stringlengths 11 3.34k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2208.05017 | M Charity | M Charity, Julian Togelius | Aesthetic Bot: Interactively Evolving Game Maps on Twitter | null | null | null | null | cs.AI cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes the implementation of the Aesthetic Bot, an automated
Twitter account that posts images of small game maps that are either user-made
or generated from an evolutionary system. The bot then prompts users to vote
via a poll posted in the image's thread for the most aesthetically pleasing
map. This c... | [
{
"created": "Tue, 9 Aug 2022 19:44:47 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Aug 2022 15:43:51 GMT",
"version": "v2"
}
] | 2022-08-25 | [
[
"Charity",
"M",
""
],
[
"Togelius",
"Julian",
""
]
] | This paper describes the implementation of the Aesthetic Bot, an automated Twitter account that posts images of small game maps that are either user-made or generated from an evolutionary system. The bot then prompts users to vote via a poll posted in the image's thread for the most aesthetically pleasing map. This cre... |
2309.10561 | R\'obert Lakatos | Robert Lakatos, Peter Pollner, Andras Hajdu, Tamas Joo | A multimodal deep learning architecture for smoking detection with a
small data approach | null | null | 10.3389/frai.2024.1326050 | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Introduction: Covert tobacco advertisements often raise regulatory measures.
This paper presents that artificial intelligence, particularly deep learning,
has great potential for detecting hidden advertising and allows unbiased,
reproducible, and fair quantification of tobacco-related media content.
Methods: We propo... | [
{
"created": "Tue, 19 Sep 2023 12:15:06 GMT",
"version": "v1"
}
] | 2024-03-13 | [
[
"Lakatos",
"Robert",
""
],
[
"Pollner",
"Peter",
""
],
[
"Hajdu",
"Andras",
""
],
[
"Joo",
"Tamas",
""
]
] | Introduction: Covert tobacco advertisements often raise regulatory measures. This paper presents that artificial intelligence, particularly deep learning, has great potential for detecting hidden advertising and allows unbiased, reproducible, and fair quantification of tobacco-related media content. Methods: We propose... |
2307.05923 | Kosuke Tatsumura | Kosuke Tatsumura, Ryo Hidaka, Jun Nakayama, Tomoya Kashimata, and
Masaya Yamasaki | Pairs-trading System using Quantum-inspired Combinatorial Optimization
Accelerator for Optimal Path Search in Market Graphs | 11 pages, 8 figures | IEEE Access 11, pp. 104406 - 104416 (2023) | 10.1109/ACCESS.2023.3316727 | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pairs-trading is a trading strategy that involves matching a long position
with a short position in two stocks aiming at market-neutral profits. While a
typical pairs-trading system monitors the prices of two statistically
correlated stocks for detecting a temporary divergence, monitoring and
analyzing the prices of ... | [
{
"created": "Wed, 12 Jul 2023 05:41:39 GMT",
"version": "v1"
}
] | 2023-10-04 | [
[
"Tatsumura",
"Kosuke",
""
],
[
"Hidaka",
"Ryo",
""
],
[
"Nakayama",
"Jun",
""
],
[
"Kashimata",
"Tomoya",
""
],
[
"Yamasaki",
"Masaya",
""
]
] | Pairs-trading is a trading strategy that involves matching a long position with a short position in two stocks aiming at market-neutral profits. While a typical pairs-trading system monitors the prices of two statistically correlated stocks for detecting a temporary divergence, monitoring and analyzing the prices of mo... |
1803.11353 | Yiluan Guo | Yiluan Guo, Ngai-Man Cheung | Efficient and Deep Person Re-Identification using Multi-Level Similarity | To appear in CVPR2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Person Re-Identification (ReID) requires comparing two images of person
captured under different conditions. Existing work based on neural networks
often computes the similarity of feature maps from one single convolutional
layer. In this work, we propose an efficient, end-to-end fully convolutional
Siamese network t... | [
{
"created": "Fri, 30 Mar 2018 06:18:28 GMT",
"version": "v1"
},
{
"created": "Mon, 2 Apr 2018 03:06:54 GMT",
"version": "v2"
}
] | 2018-04-03 | [
[
"Guo",
"Yiluan",
""
],
[
"Cheung",
"Ngai-Man",
""
]
] | Person Re-Identification (ReID) requires comparing two images of person captured under different conditions. Existing work based on neural networks often computes the similarity of feature maps from one single convolutional layer. In this work, we propose an efficient, end-to-end fully convolutional Siamese network tha... |
2204.03641 | Liming Jiang | Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy | Unsupervised Image-to-Image Translation with Generative Prior | CVPR 2022. Code: https://github.com/williamyang1991/GP-UNIT Project
page: https://www.mmlab-ntu.com/project/gpunit/ | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unsupervised image-to-image translation aims to learn the translation between
two visual domains without paired data. Despite the recent progress in image
translation models, it remains challenging to build mappings between complex
domains with drastic visual discrepancies. In this work, we present a novel
framework,... | [
{
"created": "Thu, 7 Apr 2022 17:59:23 GMT",
"version": "v1"
}
] | 2022-04-08 | [
[
"Yang",
"Shuai",
""
],
[
"Jiang",
"Liming",
""
],
[
"Liu",
"Ziwei",
""
],
[
"Loy",
"Chen Change",
""
]
] | Unsupervised image-to-image translation aims to learn the translation between two visual domains without paired data. Despite the recent progress in image translation models, it remains challenging to build mappings between complex domains with drastic visual discrepancies. In this work, we present a novel framework, G... |
2111.11992 | Yi Ding | Yi Ding, Alex Rich, Mason Wang, Noah Stier, Matthew Turk, Pradeep Sen,
Tobias H\"ollerer | Sparse Fusion for Multimodal Transformers | 11 pages, 4 figures, 5 tables, Yi Ding and Alex Rich contributed
equally | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Multimodal classification is a core task in human-centric machine learning.
We observe that information is highly complementary across modalities, thus
unimodal information can be drastically sparsified prior to multimodal fusion
without loss of accuracy. To this end, we present Sparse Fusion Transformers
(SFT), a no... | [
{
"created": "Tue, 23 Nov 2021 16:43:49 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Nov 2021 21:53:12 GMT",
"version": "v2"
}
] | 2021-11-29 | [
[
"Ding",
"Yi",
""
],
[
"Rich",
"Alex",
""
],
[
"Wang",
"Mason",
""
],
[
"Stier",
"Noah",
""
],
[
"Turk",
"Matthew",
""
],
[
"Sen",
"Pradeep",
""
],
[
"Höllerer",
"Tobias",
""
]
] | Multimodal classification is a core task in human-centric machine learning. We observe that information is highly complementary across modalities, thus unimodal information can be drastically sparsified prior to multimodal fusion without loss of accuracy. To this end, we present Sparse Fusion Transformers (SFT), a nove... |
1610.00580 | Jacob Abernethy | Jacob Abernethy (University of Michigan), Cyrus Anderson (University
of Michigan), Chengyu Dai (University of Michigan), Arya Farahi (University
of Michigan), Linh Nguyen (University of Michigan), Adam Rauh (University of
Michigan), Eric Schwartz (University of Michigan), Wenbo Shen (University of
Michigan), Gu... | Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water
Testing | Presented at the Data For Good Exchange 2016 | null | null | null | cs.LG stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recovery from the Flint Water Crisis has been hindered by uncertainty in both
the water testing process and the causes of contamination. In this work, we
develop an ensemble of predictive models to assess the risk of lead
contamination in individual homes and neighborhoods. To train these models, we
utilize a wide ra... | [
{
"created": "Fri, 30 Sep 2016 14:31:11 GMT",
"version": "v1"
}
] | 2016-10-04 | [
[
"Abernethy",
"Jacob",
"",
"University of Michigan"
],
[
"Anderson",
"Cyrus",
"",
"University\n of Michigan"
],
[
"Dai",
"Chengyu",
"",
"University of Michigan"
],
[
"Farahi",
"Arya",
"",
"University\n of Michigan"
],
[
"Nguyen",... | Recovery from the Flint Water Crisis has been hindered by uncertainty in both the water testing process and the causes of contamination. In this work, we develop an ensemble of predictive models to assess the risk of lead contamination in individual homes and neighborhoods. To train these models, we utilize a wide rang... |
2104.05744 | Tarik A. Rashid | Sagar Chhetri, Abeer Alsadoon, Thair Al Dala in, P. W. C. Prasad,
Tarik A. Rashid, Angelika Maag | Deep Learning for Vision-Based Fall Detection System: Enhanced Optical
Dynamic Flow | 16 pages | Computational Intelligence, 2020 | 10.1111/coin.12428 | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Accurate fall detection for the assistance of older people is crucial to
reduce incidents of deaths or injuries due to falls. Meanwhile, a vision-based
fall detection system has shown some significant results to detect falls.
Still, numerous challenges need to be resolved. The impact of deep learning has
changed the ... | [
{
"created": "Thu, 18 Mar 2021 08:14:25 GMT",
"version": "v1"
}
] | 2021-04-14 | [
[
"Chhetri",
"Sagar",
""
],
[
"Alsadoon",
"Abeer",
""
],
[
"in",
"Thair Al Dala",
""
],
[
"Prasad",
"P. W. C.",
""
],
[
"Rashid",
"Tarik A.",
""
],
[
"Maag",
"Angelika",
""
]
] | Accurate fall detection for the assistance of older people is crucial to reduce incidents of deaths or injuries due to falls. Meanwhile, a vision-based fall detection system has shown some significant results to detect falls. Still, numerous challenges need to be resolved. The impact of deep learning has changed the la... |
1905.09084 | Martin Eker{\aa} | Martin Eker{\aa} | Revisiting Shor's quantum algorithm for computing general discrete
logarithms | The pre-print has been updated with an extended heuristic, that
better captures the probability distribution for small $\varsigma$, and that
reduces to the original heuristic for $B_\eta = 0$. Associated updates have
been made to the post-processing, to support searching over $\eta$ when
$B_\eta > 0$. Various o... | null | null | null | cs.CR quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We heuristically show that Shor's algorithm for computing general discrete
logarithms achieves an expected success probability of approximately 60% to 82%
in a single run when modified to enable efficient implementation with the
semi-classical Fourier transform. By slightly increasing the number of group
operations t... | [
{
"created": "Wed, 22 May 2019 11:47:38 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Apr 2021 14:29:43 GMT",
"version": "v2"
},
{
"created": "Mon, 6 Mar 2023 13:23:21 GMT",
"version": "v3"
}
] | 2023-03-07 | [
[
"Ekerå",
"Martin",
""
]
] | We heuristically show that Shor's algorithm for computing general discrete logarithms achieves an expected success probability of approximately 60% to 82% in a single run when modified to enable efficient implementation with the semi-classical Fourier transform. By slightly increasing the number of group operations tha... |
2302.05629 | Xunyu Zhu | Xunyu Zhu, Jian Li, Yong Liu, Weiping Wang | Improving Differentiable Architecture Search via Self-Distillation | Accepted by Neural Networks | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Differentiable Architecture Search (DARTS) is a simple yet efficient Neural
Architecture Search (NAS) method. During the search stage, DARTS trains a
supernet by jointly optimizing architecture parameters and network parameters.
During the evaluation stage, DARTS discretizes the supernet to derive the
optimal archite... | [
{
"created": "Sat, 11 Feb 2023 08:58:55 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Sep 2023 07:09:55 GMT",
"version": "v2"
}
] | 2023-09-04 | [
[
"Zhu",
"Xunyu",
""
],
[
"Li",
"Jian",
""
],
[
"Liu",
"Yong",
""
],
[
"Wang",
"Weiping",
""
]
] | Differentiable Architecture Search (DARTS) is a simple yet efficient Neural Architecture Search (NAS) method. During the search stage, DARTS trains a supernet by jointly optimizing architecture parameters and network parameters. During the evaluation stage, DARTS discretizes the supernet to derive the optimal architect... |
2402.10196 | Lingbo Mo | Lingbo Mo, Zeyi Liao, Boyuan Zheng, Yu Su, Chaowei Xiao, Huan Sun | A Trembling House of Cards? Mapping Adversarial Attacks against Language
Agents | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Language agents powered by large language models (LLMs) have seen exploding
development. Their capability of using language as a vehicle for thought and
communication lends an incredible level of flexibility and versatility. People
have quickly capitalized on this capability to connect LLMs to a wide range of
externa... | [
{
"created": "Thu, 15 Feb 2024 18:51:32 GMT",
"version": "v1"
}
] | 2024-02-16 | [
[
"Mo",
"Lingbo",
""
],
[
"Liao",
"Zeyi",
""
],
[
"Zheng",
"Boyuan",
""
],
[
"Su",
"Yu",
""
],
[
"Xiao",
"Chaowei",
""
],
[
"Sun",
"Huan",
""
]
] | Language agents powered by large language models (LLMs) have seen exploding development. Their capability of using language as a vehicle for thought and communication lends an incredible level of flexibility and versatility. People have quickly capitalized on this capability to connect LLMs to a wide range of external ... |
2212.05662 | Dongju Kang | Dongju Kang, Doeun Kang, Sumin Hwangbo, Haider Niaz, Won Bo Lee, J.
Jay Liu, Jonggeol Na | Optimal Planning of Hybrid Energy Storage Systems using Curtailed
Renewable Energy through Deep Reinforcement Learning | 30 pages, 8 figures | null | null | null | cs.LG cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Energy management systems (EMS) are becoming increasingly important in order
to utilize the continuously growing curtailed renewable energy. Promising
energy storage systems (ESS), such as batteries and green hydrogen should be
employed to maximize the efficiency of energy stakeholders. However, optimal
decision-maki... | [
{
"created": "Mon, 12 Dec 2022 02:24:50 GMT",
"version": "v1"
}
] | 2022-12-13 | [
[
"Kang",
"Dongju",
""
],
[
"Kang",
"Doeun",
""
],
[
"Hwangbo",
"Sumin",
""
],
[
"Niaz",
"Haider",
""
],
[
"Lee",
"Won Bo",
""
],
[
"Liu",
"J. Jay",
""
],
[
"Na",
"Jonggeol",
""
]
] | Energy management systems (EMS) are becoming increasingly important in order to utilize the continuously growing curtailed renewable energy. Promising energy storage systems (ESS), such as batteries and green hydrogen should be employed to maximize the efficiency of energy stakeholders. However, optimal decision-making... |
2210.06341 | Surya Kant Sahu | Surya Kant Sahu | TaskMix: Data Augmentation for Meta-Learning of Spoken Intent
Understanding | Accepted at Findings of AACL-IJCNLP 2022 | null | null | null | cs.CL cs.AI cs.LG eess.AS | http://creativecommons.org/licenses/by-sa/4.0/ | Meta-Learning has emerged as a research direction to better transfer
knowledge from related tasks to unseen but related tasks. However,
Meta-Learning requires many training tasks to learn representations that
transfer well to unseen tasks; otherwise, it leads to overfitting, and the
performance degenerates to worse t... | [
{
"created": "Mon, 26 Sep 2022 00:37:40 GMT",
"version": "v1"
}
] | 2022-10-13 | [
[
"Sahu",
"Surya Kant",
""
]
] | Meta-Learning has emerged as a research direction to better transfer knowledge from related tasks to unseen but related tasks. However, Meta-Learning requires many training tasks to learn representations that transfer well to unseen tasks; otherwise, it leads to overfitting, and the performance degenerates to worse tha... |
2302.09875 | Han-Dong Lim | Han-Dong Lim and Donghwan Lee | Backstepping Temporal Difference Learning | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Off-policy learning ability is an important feature of reinforcement learning
(RL) for practical applications. However, even one of the most elementary RL
algorithms, temporal-difference (TD) learning, is known to suffer form
divergence issue when the off-policy scheme is used together with linear
function approximat... | [
{
"created": "Mon, 20 Feb 2023 10:06:49 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Feb 2023 00:51:47 GMT",
"version": "v2"
}
] | 2023-03-01 | [
[
"Lim",
"Han-Dong",
""
],
[
"Lee",
"Donghwan",
""
]
] | Off-policy learning ability is an important feature of reinforcement learning (RL) for practical applications. However, even one of the most elementary RL algorithms, temporal-difference (TD) learning, is known to suffer form divergence issue when the off-policy scheme is used together with linear function approximatio... |
2107.05090 | Somali Chaterji | Shikhar Suryavansh (1), Abu Benna (2), Chris Guest (2), Somali
Chaterji (3) ((1) Cisco Systems, USA (2) Beaconchain, Canada, (3) Purdue
University, USA) | Ambrosia: Reduction in Data Transfer from Sensor to Server for Increased
Lifetime of IoT Sensor Nodes | 13 pages, 7 figures, Nature Scientific Reports | null | null | null | cs.NI eess.SP | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Data transmission accounts for significant energy consumption in wireless
sensor networks where streaming data is generatedby the sensors. This impedes
their use in many settings, including livestock monitoring over large pastures
(which formsour target application). We present Ambrosia, a lightweight
protocol that u... | [
{
"created": "Sun, 11 Jul 2021 17:07:38 GMT",
"version": "v1"
}
] | 2021-07-13 | [
[
"Suryavansh",
"Shikhar",
""
],
[
"Benna",
"Abu",
""
],
[
"Guest",
"Chris",
""
],
[
"Chaterji",
"Somali",
""
]
] | Data transmission accounts for significant energy consumption in wireless sensor networks where streaming data is generatedby the sensors. This impedes their use in many settings, including livestock monitoring over large pastures (which formsour target application). We present Ambrosia, a lightweight protocol that uti... |
2009.11838 | Khaled Abedrabboh | Khaled Abedrabboh, Matthias Pilz, Zaid Al-Fagih, Othman S. Al-Fagih,
Jean-Christophe Nebel, Luluwah Al-Fagih | Game theory to enhance stock management of Personal Protective Equipment
(PPE) during the COVID-19 outbreak | 22 pages, 7 figures, published in PLOS ONE
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0246110 | PLOS ONE 16(2): e0246110 (2021) | 10.1371/journal.pone.0246110 | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Since the outbreak of the COVID-19 pandemic, many healthcare facilities have
suffered from shortages in medical resources, particularly in Personal
Protective Equipment (PPE). In this paper, we propose a game-theoretic approach
to schedule PPE orders among healthcare facilities. In this PPE game, each
independent hea... | [
{
"created": "Thu, 24 Sep 2020 17:36:13 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Sep 2020 09:43:06 GMT",
"version": "v2"
},
{
"created": "Tue, 2 Feb 2021 08:08:35 GMT",
"version": "v3"
}
] | 2021-02-03 | [
[
"Abedrabboh",
"Khaled",
""
],
[
"Pilz",
"Matthias",
""
],
[
"Al-Fagih",
"Zaid",
""
],
[
"Al-Fagih",
"Othman S.",
""
],
[
"Nebel",
"Jean-Christophe",
""
],
[
"Al-Fagih",
"Luluwah",
""
]
] | Since the outbreak of the COVID-19 pandemic, many healthcare facilities have suffered from shortages in medical resources, particularly in Personal Protective Equipment (PPE). In this paper, we propose a game-theoretic approach to schedule PPE orders among healthcare facilities. In this PPE game, each independent healt... |
2309.00023 | Enneng Yang | Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing
Guo, Xingwei Wang, and Dacheng Tao | Continual Learning From a Stream of APIs | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Continual learning (CL) aims to learn new tasks without forgetting previous
tasks. However, existing CL methods require a large amount of raw data, which
is often unavailable due to copyright considerations and privacy risks.
Instead, stakeholders usually release pre-trained machine learning models as a
service (MLaa... | [
{
"created": "Thu, 31 Aug 2023 11:16:00 GMT",
"version": "v1"
}
] | 2023-09-04 | [
[
"Yang",
"Enneng",
""
],
[
"Wang",
"Zhenyi",
""
],
[
"Shen",
"Li",
""
],
[
"Yin",
"Nan",
""
],
[
"Liu",
"Tongliang",
""
],
[
"Guo",
"Guibing",
""
],
[
"Wang",
"Xingwei",
""
],
[
"Tao",
"Dacheng",... | Continual learning (CL) aims to learn new tasks without forgetting previous tasks. However, existing CL methods require a large amount of raw data, which is often unavailable due to copyright considerations and privacy risks. Instead, stakeholders usually release pre-trained machine learning models as a service (MLaaS)... |
2206.04316 | Huishuai Zhang | Huishuai Zhang and Da Yu and Yiping Lu and Di He | Adversarial Noises Are Linearly Separable for (Nearly) Random Neural
Networks | 13 pages | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Adversarial examples, which are usually generated for specific inputs with a
specific model, are ubiquitous for neural networks. In this paper we unveil a
surprising property of adversarial noises when they are put together, i.e.,
adversarial noises crafted by one-step gradient methods are linearly separable
if equip... | [
{
"created": "Thu, 9 Jun 2022 07:26:46 GMT",
"version": "v1"
}
] | 2022-06-10 | [
[
"Zhang",
"Huishuai",
""
],
[
"Yu",
"Da",
""
],
[
"Lu",
"Yiping",
""
],
[
"He",
"Di",
""
]
] | Adversarial examples, which are usually generated for specific inputs with a specific model, are ubiquitous for neural networks. In this paper we unveil a surprising property of adversarial noises when they are put together, i.e., adversarial noises crafted by one-step gradient methods are linearly separable if equippe... |
1205.2766 | Rui Ferreira | Rui Ferreira, Roberto Grossi, Andrea Marino, Nadia Pisanti, Romeo
Rizzi and Gustavo Sacomoto | Optimal Listing of Cycles and st-Paths in Undirected Graphs | 12 Pages, 7 Page Appendix | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present the first optimal algorithm for the classical problem of listing
all the cycles in an undirected graph. We exploit their properties so that the
total cost is the time taken to read the input graph plus the time to list the
output, namely, the edges in each of the cycles. The algorithm uses a reduction
to t... | [
{
"created": "Sat, 12 May 2012 11:12:10 GMT",
"version": "v1"
},
{
"created": "Thu, 5 Jul 2012 13:10:33 GMT",
"version": "v2"
}
] | 2012-07-06 | [
[
"Ferreira",
"Rui",
""
],
[
"Grossi",
"Roberto",
""
],
[
"Marino",
"Andrea",
""
],
[
"Pisanti",
"Nadia",
""
],
[
"Rizzi",
"Romeo",
""
],
[
"Sacomoto",
"Gustavo",
""
]
] | We present the first optimal algorithm for the classical problem of listing all the cycles in an undirected graph. We exploit their properties so that the total cost is the time taken to read the input graph plus the time to list the output, namely, the edges in each of the cycles. The algorithm uses a reduction to the... |
cs/0701144 | Andreas U. Schmidt | Nicolai Kuntze and Andreas U. Schmidt | Trusted Ticket Systems and Applications | Accepted full research paper at IFIP sec2007, Sandton, South Africa,
14-16 May 2007 | null | null | null | cs.CR | null | Trusted Computing is a security base technology that will perhaps be
ubiquitous in a few years in personal computers and mobile devices alike.
Despite its neutrality with respect to applications, it has raised some privacy
concerns. We show that trusted computing can be applied for service access
control in a manner ... | [
{
"created": "Tue, 23 Jan 2007 14:26:20 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Kuntze",
"Nicolai",
""
],
[
"Schmidt",
"Andreas U.",
""
]
] | Trusted Computing is a security base technology that will perhaps be ubiquitous in a few years in personal computers and mobile devices alike. Despite its neutrality with respect to applications, it has raised some privacy concerns. We show that trusted computing can be applied for service access control in a manner pr... |
2101.01944 | Uwe Egbert Wolter | Uwe Wolter | Logics of First-Order Constraints -- A Category Independent Approach | 23 pages, presented at the 8th Conference on Algebra and Coalgebra in
Computer Science (CALCO 2019), London, UK, June 3-6, 2019 | null | null | null | cs.LO cs.SE | http://creativecommons.org/licenses/by/4.0/ | Reflecting our experiences in areas, like Algebraic Specifications, Abstract
Model Theory, Graph Transformations, and Model Driven Software Engineering
(MDSE), we present a general, category independent approach to Logics of
First-Order Constraints (LFOC). Traditional First-Order Logic, Description
Logic and the sket... | [
{
"created": "Wed, 6 Jan 2021 09:55:43 GMT",
"version": "v1"
}
] | 2021-01-07 | [
[
"Wolter",
"Uwe",
""
]
] | Reflecting our experiences in areas, like Algebraic Specifications, Abstract Model Theory, Graph Transformations, and Model Driven Software Engineering (MDSE), we present a general, category independent approach to Logics of First-Order Constraints (LFOC). Traditional First-Order Logic, Description Logic and the sketch... |
1905.05087 | Zhiqiang Gong | Zhiqiang Gong and Ping Zhong and Weidong Hu and Zixuan Xiao and Xuping
Yin | A novel statistical metric learning for hyperspectral image
classification | Submitted to Whispers2019 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a novel statistical metric learning is developed for
spectral-spatial classification of the hyperspectral image. First, the standard
variance of the samples of each class in each batch is used to decrease the
intra-class variance within each class. Then, the distances between the means
of different cla... | [
{
"created": "Mon, 13 May 2019 15:28:15 GMT",
"version": "v1"
}
] | 2019-05-14 | [
[
"Gong",
"Zhiqiang",
""
],
[
"Zhong",
"Ping",
""
],
[
"Hu",
"Weidong",
""
],
[
"Xiao",
"Zixuan",
""
],
[
"Yin",
"Xuping",
""
]
] | In this paper, a novel statistical metric learning is developed for spectral-spatial classification of the hyperspectral image. First, the standard variance of the samples of each class in each batch is used to decrease the intra-class variance within each class. Then, the distances between the means of different class... |
2101.08937 | Jin Young Shin | Jin young Shin, Cheolhyeong Kim, Hyung Ju Hwang | Prior Preference Learning from Experts:Designing a Reward with Active
Inference | This paper is accepted to Neurocomputing | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Active inference may be defined as Bayesian modeling of a brain with a
biologically plausible model of the agent. Its primary idea relies on the free
energy principle and the prior preference of the agent. An agent will choose an
action that leads to its prior preference for a future observation. In this
paper, we cl... | [
{
"created": "Fri, 22 Jan 2021 04:03:45 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Feb 2021 05:02:02 GMT",
"version": "v2"
},
{
"created": "Mon, 13 Dec 2021 04:50:21 GMT",
"version": "v3"
}
] | 2021-12-14 | [
[
"Shin",
"Jin young",
""
],
[
"Kim",
"Cheolhyeong",
""
],
[
"Hwang",
"Hyung Ju",
""
]
] | Active inference may be defined as Bayesian modeling of a brain with a biologically plausible model of the agent. Its primary idea relies on the free energy principle and the prior preference of the agent. An agent will choose an action that leads to its prior preference for a future observation. In this paper, we clai... |
1702.03767 | Patrick O. Glauner | Patrick Glauner, Angelo Migliosi, Jorge Meira, Petko Valtchev, Radu
State, Franck Bettinger | Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? | Proceedings of the 19th International Conference on Intelligent
System Applications to Power Systems (ISAP 2017) | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Non-technical losses (NTL) occur during the distribution of electricity in
power grids and include, but are not limited to, electricity theft and faulty
meters. In emerging countries, they may range up to 40% of the total
electricity distributed. In order to detect NTLs, machine learning methods are
used that learn i... | [
{
"created": "Mon, 13 Feb 2017 13:33:47 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Jul 2017 04:35:45 GMT",
"version": "v2"
}
] | 2017-07-26 | [
[
"Glauner",
"Patrick",
""
],
[
"Migliosi",
"Angelo",
""
],
[
"Meira",
"Jorge",
""
],
[
"Valtchev",
"Petko",
""
],
[
"State",
"Radu",
""
],
[
"Bettinger",
"Franck",
""
]
] | Non-technical losses (NTL) occur during the distribution of electricity in power grids and include, but are not limited to, electricity theft and faulty meters. In emerging countries, they may range up to 40% of the total electricity distributed. In order to detect NTLs, machine learning methods are used that learn irr... |
1806.01041 | Francisco Crespo Mr | Francisco Crespo Estefan\'ia Mart\'in | Applications for mobile devices focused on support for autism spectrum
disorder population and / or people in their immediate environment in their
daily lives: a systematic and practical review from a Spanish - speaking
perspective | 16 pages, 8 figures, 2 tables | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The present study has made a review of scientific publications on
applications focused on autism, most of them developed for communication,
social behavior and learning, which coincides with what is observed in a
digital market that practically lacks scientific validation. The study has also
found only 135 of these t... | [
{
"created": "Mon, 4 Jun 2018 10:53:57 GMT",
"version": "v1"
}
] | 2018-06-05 | [
[
"Martín",
"Francisco Crespo Estefanía",
""
]
] | The present study has made a review of scientific publications on applications focused on autism, most of them developed for communication, social behavior and learning, which coincides with what is observed in a digital market that practically lacks scientific validation. The study has also found only 135 of these typ... |
2204.05576 | Yuan Tian | Yuan Tian, Klaus-Rudolf Kladny, Qin Wang, Zhiwu Huang, Olga Fink | Multi-agent Actor-Critic with Time Dynamical Opponent Model | null | null | null | null | cs.AI | http://creativecommons.org/publicdomain/zero/1.0/ | In multi-agent reinforcement learning, multiple agents learn simultaneously
while interacting with a common environment and each other. Since the agents
adapt their policies during learning, not only the behavior of a single agent
becomes non-stationary, but also the environment as perceived by the agent.
This render... | [
{
"created": "Tue, 12 Apr 2022 07:16:15 GMT",
"version": "v1"
}
] | 2022-04-13 | [
[
"Tian",
"Yuan",
""
],
[
"Kladny",
"Klaus-Rudolf",
""
],
[
"Wang",
"Qin",
""
],
[
"Huang",
"Zhiwu",
""
],
[
"Fink",
"Olga",
""
]
] | In multi-agent reinforcement learning, multiple agents learn simultaneously while interacting with a common environment and each other. Since the agents adapt their policies during learning, not only the behavior of a single agent becomes non-stationary, but also the environment as perceived by the agent. This renders ... |
1707.01089 | Ingo Weber | Christopher Klinkm\"uler and Ingo Weber | Control Flow Information Analysis in Process Model Matching Techniques | null | null | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online Appendix to: "Analyzing Control Flow Information to Improve the
Effectiveness of Process Model Matching Techniques" by the same authors.
| [
{
"created": "Tue, 4 Jul 2017 04:09:21 GMT",
"version": "v1"
}
] | 2017-07-06 | [
[
"Klinkmüler",
"Christopher",
""
],
[
"Weber",
"Ingo",
""
]
] | Online Appendix to: "Analyzing Control Flow Information to Improve the Effectiveness of Process Model Matching Techniques" by the same authors. |
1201.2084 | Rafi Muhammad | Mehwish Aziz, Muhammad Rafi | Sentence based semantic similarity measure for blog-posts | 6th International Conference on Digital Content, Multimedia
Technology and its Applications (IDC), 2010 | null | null | null | cs.AI cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blogs-Online digital diary like application on web 2.0 has opened new and
easy way to voice opinion, thoughts, and like-dislike of every Internet user to
the World. Blogosphere has no doubt the largest user-generated content
repository full of knowledge. The potential of this knowledge is still to be
explored. Knowle... | [
{
"created": "Tue, 10 Jan 2012 15:33:32 GMT",
"version": "v1"
}
] | 2012-01-11 | [
[
"Aziz",
"Mehwish",
""
],
[
"Rafi",
"Muhammad",
""
]
] | Blogs-Online digital diary like application on web 2.0 has opened new and easy way to voice opinion, thoughts, and like-dislike of every Internet user to the World. Blogosphere has no doubt the largest user-generated content repository full of knowledge. The potential of this knowledge is still to be explored. Knowledg... |
2204.02342 | Lea Matlekovic | Lea Matlekovic and Peter Schneider-Kamp | From Monolith to Microservices: Software Architecture for Autonomous UAV
Infrastructure Inspection | 11th International Conference on Cloud Computing: Services and
Architecture (CLOUD 2022) | null | 10.5121/csit.2022.120622 | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Linear-infrastructure Mission Control (LiMiC) is an application for
autonomous Unmanned Aerial Vehicle (UAV) infrastructure inspection mission
planning developed in monolithic software architecture. The application
calculates routes along the infrastructure based on the users' inputs, the
number of UAVs participating... | [
{
"created": "Tue, 5 Apr 2022 16:57:14 GMT",
"version": "v1"
}
] | 2022-04-06 | [
[
"Matlekovic",
"Lea",
""
],
[
"Schneider-Kamp",
"Peter",
""
]
] | Linear-infrastructure Mission Control (LiMiC) is an application for autonomous Unmanned Aerial Vehicle (UAV) infrastructure inspection mission planning developed in monolithic software architecture. The application calculates routes along the infrastructure based on the users' inputs, the number of UAVs participating i... |
1812.03632 | Nazmus Saquib | Shoumik Sharar Chowdhury, Nazmus Saquib, Niamat Zawad, Manash Kumar
Mandal, Syed Haque | Statement networks: a power structure narrative as depicted by
newspapers | Presented at NeurIPS 2018 Workshop on Machine Learning for the
Developing World | null | null | null | cs.CY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We report a data mining pipeline and subsequent analysis to understand the
core periphery power structure created in three national newspapers in
Bangladesh, as depicted by statements made by people appearing in news.
Statements made by one actor about another actor can be considered a form of
public conversation. Na... | [
{
"created": "Mon, 10 Dec 2018 05:40:54 GMT",
"version": "v1"
}
] | 2018-12-11 | [
[
"Chowdhury",
"Shoumik Sharar",
""
],
[
"Saquib",
"Nazmus",
""
],
[
"Zawad",
"Niamat",
""
],
[
"Mandal",
"Manash Kumar",
""
],
[
"Haque",
"Syed",
""
]
] | We report a data mining pipeline and subsequent analysis to understand the core periphery power structure created in three national newspapers in Bangladesh, as depicted by statements made by people appearing in news. Statements made by one actor about another actor can be considered a form of public conversation. Name... |
1907.06554 | Mohammad Aliannejadi | Mohammad Aliannejadi and Hamed Zamani and Fabio Crestani and W. Bruce
Croft | Asking Clarifying Questions in Open-Domain Information-Seeking
Conversations | To appear in SIGIR 2019 | null | 10.1145/3331184.3331265 | null | cs.CL cs.AI cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Users often fail to formulate their complex information needs in a single
query. As a consequence, they may need to scan multiple result pages or
reformulate their queries, which may be a frustrating experience.
Alternatively, systems can improve user satisfaction by proactively asking
questions of the users to clari... | [
{
"created": "Mon, 15 Jul 2019 15:45:37 GMT",
"version": "v1"
}
] | 2019-07-16 | [
[
"Aliannejadi",
"Mohammad",
""
],
[
"Zamani",
"Hamed",
""
],
[
"Crestani",
"Fabio",
""
],
[
"Croft",
"W. Bruce",
""
]
] | Users often fail to formulate their complex information needs in a single query. As a consequence, they may need to scan multiple result pages or reformulate their queries, which may be a frustrating experience. Alternatively, systems can improve user satisfaction by proactively asking questions of the users to clarify... |
2305.03888 | Yujin Huang | Zijian Wang, Shuo Huang, Yujin Huang, Helei Cui | Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning | Accepted to AsiaCCS Workshop on Secure and Trustworthy Deep Learning
Systems (SecTL 2023) | null | null | null | cs.CR cs.AI cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, on-device deep learning has gained attention as a means of
developing affordable deep learning applications for mobile devices. However,
on-device models are constrained by limited energy and computation resources.
In the mean time, a poisoning attack known as sponge poisoning has been
developed.This... | [
{
"created": "Sat, 6 May 2023 01:20:30 GMT",
"version": "v1"
},
{
"created": "Thu, 11 May 2023 09:31:06 GMT",
"version": "v2"
}
] | 2023-05-12 | [
[
"Wang",
"Zijian",
""
],
[
"Huang",
"Shuo",
""
],
[
"Huang",
"Yujin",
""
],
[
"Cui",
"Helei",
""
]
] | In recent years, on-device deep learning has gained attention as a means of developing affordable deep learning applications for mobile devices. However, on-device models are constrained by limited energy and computation resources. In the mean time, a poisoning attack known as sponge poisoning has been developed.This a... |
2210.11416 | Jason Wei | Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William
Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert
Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha
Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter,
Sharan Narang, Gau... | Scaling Instruction-Finetuned Language Models | Public checkpoints:
https://huggingface.co/docs/transformers/model_doc/flan-t5 | null | null | null | cs.LG cs.CL | http://creativecommons.org/licenses/by/4.0/ | Finetuning language models on a collection of datasets phrased as
instructions has been shown to improve model performance and generalization to
unseen tasks. In this paper we explore instruction finetuning with a particular
focus on (1) scaling the number of tasks, (2) scaling the model size, and (3)
finetuning on c... | [
{
"created": "Thu, 20 Oct 2022 16:58:32 GMT",
"version": "v1"
},
{
"created": "Fri, 21 Oct 2022 17:46:04 GMT",
"version": "v2"
},
{
"created": "Wed, 16 Nov 2022 09:44:42 GMT",
"version": "v3"
},
{
"created": "Wed, 23 Nov 2022 02:11:56 GMT",
"version": "v4"
},
{
"c... | 2022-12-08 | [
[
"Chung",
"Hyung Won",
""
],
[
"Hou",
"Le",
""
],
[
"Longpre",
"Shayne",
""
],
[
"Zoph",
"Barret",
""
],
[
"Tay",
"Yi",
""
],
[
"Fedus",
"William",
""
],
[
"Li",
"Yunxuan",
""
],
[
"Wang",
"Xuezh... | Finetuning language models on a collection of datasets phrased as instructions has been shown to improve model performance and generalization to unseen tasks. In this paper we explore instruction finetuning with a particular focus on (1) scaling the number of tasks, (2) scaling the model size, and (3) finetuning on cha... |
2007.01755 | Bin-Bin Gao | Bin-Bin Gao, Hong-Yu Zhou | Learning to Discover Multi-Class Attentional Regions for Multi-Label
Image Recognition | 13 pages, Accepted by IEEE TIP (5-Jun-2021) | null | 10.1109/TIP.2021.3088605 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-label image recognition is a practical and challenging task compared to
single-label image classification. However, previous works may be suboptimal
because of a great number of object proposals or complex attentional region
generation modules. In this paper, we propose a simple but efficient two-stream
framewo... | [
{
"created": "Fri, 3 Jul 2020 15:22:46 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Dec 2020 16:43:01 GMT",
"version": "v2"
},
{
"created": "Wed, 9 Jun 2021 08:27:59 GMT",
"version": "v3"
}
] | 2021-07-21 | [
[
"Gao",
"Bin-Bin",
""
],
[
"Zhou",
"Hong-Yu",
""
]
] | Multi-label image recognition is a practical and challenging task compared to single-label image classification. However, previous works may be suboptimal because of a great number of object proposals or complex attentional region generation modules. In this paper, we propose a simple but efficient two-stream framework... |
2407.18413 | Daniel Szelogowski | Daniel Szelogowski | Simulation of Neural Responses to Classical Music Using Organoid
Intelligence Methods | 10 pages, 9 figures | null | null | null | cs.NE cs.AI cs.LG cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Music is a complex auditory stimulus capable of eliciting significant changes
in brain activity, influencing cognitive processes such as memory, attention,
and emotional regulation. However, the underlying mechanisms of music-induced
cognitive processes remain largely unknown. Organoid intelligence and deep
learning ... | [
{
"created": "Thu, 25 Jul 2024 22:11:30 GMT",
"version": "v1"
}
] | 2024-07-29 | [
[
"Szelogowski",
"Daniel",
""
]
] | Music is a complex auditory stimulus capable of eliciting significant changes in brain activity, influencing cognitive processes such as memory, attention, and emotional regulation. However, the underlying mechanisms of music-induced cognitive processes remain largely unknown. Organoid intelligence and deep learning mo... |
2407.09346 | Lester Phillip Violeta | Lester Phillip Violeta, Taketo Akama | A Preliminary Investigation on Flexible Singing Voice Synthesis Through
Decomposed Framework with Inferrable Features | Preliminary investigations | null | null | null | cs.SD eess.AS | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We investigate the feasibility of a singing voice synthesis (SVS) system by
using a decomposed framework to improve flexibility in generating singing
voices. Due to data-driven approaches, SVS performs a music score-to-waveform
mapping; however, the direct mapping limits control, such as being able to only
synthesize... | [
{
"created": "Fri, 12 Jul 2024 15:22:23 GMT",
"version": "v1"
}
] | 2024-07-15 | [
[
"Violeta",
"Lester Phillip",
""
],
[
"Akama",
"Taketo",
""
]
] | We investigate the feasibility of a singing voice synthesis (SVS) system by using a decomposed framework to improve flexibility in generating singing voices. Due to data-driven approaches, SVS performs a music score-to-waveform mapping; however, the direct mapping limits control, such as being able to only synthesize i... |
1607.00715 | Sebastian Sardina | Davide Aversa and Sebastian Sardina and Stavros Vassos | Path planning with Inventory-driven Jump-Point-Search | null | In Proceedings of the AAAI Conference on Artificial Intelligence
and Interactive Digital Entertainment (AIIDE), pp. 2-8, 2015 | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In many navigational domains the traversability of cells is conditioned on
the path taken. This is often the case in video-games, in which a character may
need to acquire a certain object (i.e., a key or a flying suit) to be able to
traverse specific locations (e.g., doors or high walls). In order for
non-player char... | [
{
"created": "Mon, 4 Jul 2016 01:13:32 GMT",
"version": "v1"
}
] | 2016-07-05 | [
[
"Aversa",
"Davide",
""
],
[
"Sardina",
"Sebastian",
""
],
[
"Vassos",
"Stavros",
""
]
] | In many navigational domains the traversability of cells is conditioned on the path taken. This is often the case in video-games, in which a character may need to acquire a certain object (i.e., a key or a flying suit) to be able to traverse specific locations (e.g., doors or high walls). In order for non-player charac... |
1705.10614 | Mahesh Babu Vaddi | Mahesh Babu Vaddi and B. Sundar Rajan | Near-Optimal Vector Linear Index Codes For Single Unicast Index Coding
Problems with Symmetric Neighboring Interference | 14 pages, 8 figures and 3 tables. arXiv admin note: substantial text
overlap with arXiv:1705.05060, arXiv:1705.03192 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A single unicast index coding problem (SUICP) with symmetric neighboring
interference (SNI) has equal number of $K$ messages and $K$ receivers, the
$k$th receiver $R_{k}$ wanting the $k$th message $x_{k}$ and having the
side-information $\mathcal{K}_{k}=(\mathcal{I}_{k} \cup x_{k})^c,$ where
${I}_k= \{x_{k-U},\dots,x... | [
{
"created": "Sun, 28 May 2017 10:20:09 GMT",
"version": "v1"
}
] | 2017-05-31 | [
[
"Vaddi",
"Mahesh Babu",
""
],
[
"Rajan",
"B. Sundar",
""
]
] | A single unicast index coding problem (SUICP) with symmetric neighboring interference (SNI) has equal number of $K$ messages and $K$ receivers, the $k$th receiver $R_{k}$ wanting the $k$th message $x_{k}$ and having the side-information $\mathcal{K}_{k}=(\mathcal{I}_{k} \cup x_{k})^c,$ where ${I}_k= \{x_{k-U},\dots,x_{... |
1110.0021 | Dirk Beyer | Sven Apel and Hendrik Speidel and Philipp Wendler and Alexander von
Rhein and Dirk Beyer | Feature-Aware Verification | 12 pages, 9 figures, 1 table | null | null | Technical Report, Number MIP-1105, University of Passau, Germany | cs.SE cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A software product line is a set of software products that are distinguished
in terms of features (i.e., end-user--visible units of behavior). Feature
interactions ---situations in which the combination of features leads to
emergent and possibly critical behavior--- are a major source of failures in
software product ... | [
{
"created": "Fri, 30 Sep 2011 20:46:35 GMT",
"version": "v1"
}
] | 2015-03-19 | [
[
"Apel",
"Sven",
""
],
[
"Speidel",
"Hendrik",
""
],
[
"Wendler",
"Philipp",
""
],
[
"von Rhein",
"Alexander",
""
],
[
"Beyer",
"Dirk",
""
]
] | A software product line is a set of software products that are distinguished in terms of features (i.e., end-user--visible units of behavior). Feature interactions ---situations in which the combination of features leads to emergent and possibly critical behavior--- are a major source of failures in software product li... |
1612.08170 | Benjamin Berkels | Benjamin Berkels and Benedikt Wirth | Joint denoising and distortion correction of atomic scale scanning
transmission electron microscopy images | null | null | 10.1088/1361-6420/aa7b94 | null | cs.CV physics.data-an | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays, modern electron microscopes deliver images at atomic scale. The
precise atomic structure encodes information about material properties. Thus,
an important ingredient in the image analysis is to locate the centers of the
atoms shown in micrographs as precisely as possible. Here, we consider scanning
transmis... | [
{
"created": "Sat, 24 Dec 2016 12:37:17 GMT",
"version": "v1"
}
] | 2017-09-13 | [
[
"Berkels",
"Benjamin",
""
],
[
"Wirth",
"Benedikt",
""
]
] | Nowadays, modern electron microscopes deliver images at atomic scale. The precise atomic structure encodes information about material properties. Thus, an important ingredient in the image analysis is to locate the centers of the atoms shown in micrographs as precisely as possible. Here, we consider scanning transmissi... |
1601.06719 | Guiying Li | Guiying Li, Junlong Liu, Chunhui Jiang, Liangpeng Zhang, Minlong Lin,
and Ke Tang | Relief R-CNN : Utilizing Convolutional Features for Fast Object
Detection | 9 pages, 2 figures, accepted by ISNN 2017 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | R-CNN style methods are sorts of the state-of-the-art object detection
methods, which consist of region proposal generation and deep CNN
classification. However, the proposal generation phase in this paradigm is
usually time consuming, which would slow down the whole detection time in
testing. This paper suggests tha... | [
{
"created": "Mon, 25 Jan 2016 18:53:14 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Mar 2016 13:10:55 GMT",
"version": "v2"
},
{
"created": "Tue, 20 Sep 2016 11:52:59 GMT",
"version": "v3"
},
{
"created": "Wed, 26 Apr 2017 07:12:14 GMT",
"version": "v4"
}
] | 2017-04-27 | [
[
"Li",
"Guiying",
""
],
[
"Liu",
"Junlong",
""
],
[
"Jiang",
"Chunhui",
""
],
[
"Zhang",
"Liangpeng",
""
],
[
"Lin",
"Minlong",
""
],
[
"Tang",
"Ke",
""
]
] | R-CNN style methods are sorts of the state-of-the-art object detection methods, which consist of region proposal generation and deep CNN classification. However, the proposal generation phase in this paradigm is usually time consuming, which would slow down the whole detection time in testing. This paper suggests that ... |
2302.12198 | Jiadi Cui | Jiadi Cui and S\"oren Schwertfeger | CP+: Camera Poses Augmentation with Large-scale LiDAR Maps | null | null | 10.1109/RCAR54675.2022.9872176 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale colored point clouds have many advantages in navigation or scene
display. Relying on cameras and LiDARs, which are now widely used in
reconstruction tasks, it is possible to obtain such colored point clouds.
However, the information from these two kinds of sensors is not well fused in
many existing framew... | [
{
"created": "Thu, 23 Feb 2023 17:49:53 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Feb 2023 07:18:15 GMT",
"version": "v2"
}
] | 2023-02-28 | [
[
"Cui",
"Jiadi",
""
],
[
"Schwertfeger",
"Sören",
""
]
] | Large-scale colored point clouds have many advantages in navigation or scene display. Relying on cameras and LiDARs, which are now widely used in reconstruction tasks, it is possible to obtain such colored point clouds. However, the information from these two kinds of sensors is not well fused in many existing framewor... |
1201.1223 | Paul Vitanyi | P. M. B. Vitanyi (National Research Center for Mathematics and
Computer Science in the Netherlands (CWI)) | Turing Machines and Understanding Computational Complexity | 9 pages, 1 figure, LaTeX. To appear in: Alan Turing - His Work and
Impact, Elsevier | In: S. Barry Cooper, Jan van Leeuwen (eds.), "Alan Turing: His
Work and Impact", Elsevier, Amsterdam, London, New York, Tokyo, 2013,
pp.57-63 | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe the Turing Machine, list some of its many influences on the
theory of computation and complexity of computations, and illustrate its
importance.
| [
{
"created": "Thu, 5 Jan 2012 17:24:33 GMT",
"version": "v1"
}
] | 2013-08-26 | [
[
"Vitanyi",
"P. M. B.",
"",
"National Research Center for Mathematics and\n Computer Science in the Netherlands"
]
] | We describe the Turing Machine, list some of its many influences on the theory of computation and complexity of computations, and illustrate its importance. |
1605.02210 | Adrian Onet | Adrian Onet | Inference-based semantics in Data Exchange | null | null | null | null | cs.DB cs.CC cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data Exchange is an old problem that was firstly studied from a theoretical
point of view only in 2003. Since then many approaches were considered when it
came to the language describing the relationship between the source and the
target schema. These approaches focus on what it makes a target instance a
"good" solut... | [
{
"created": "Sat, 7 May 2016 16:28:40 GMT",
"version": "v1"
}
] | 2016-05-10 | [
[
"Onet",
"Adrian",
""
]
] | Data Exchange is an old problem that was firstly studied from a theoretical point of view only in 2003. Since then many approaches were considered when it came to the language describing the relationship between the source and the target schema. These approaches focus on what it makes a target instance a "good" solutio... |
2008.11662 | Ujjal Kr Dutta | Rajdeep Hazra Banerjee, Abhinav Ravi, Ujjal Kr Dutta | Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles
via Apparel Attributes | In Annual Conference on Innovative Applications of Artificial
Intelligence (IAAI), colocated with AAAI Conference on Artificial
Intelligence (AAAI) 2021 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Popular fashion e-commerce platforms mostly provide details about low-level
attributes of an apparel (eg, neck type, dress length, collar type) on their
product detail pages. However, customers usually prefer to buy apparel based on
their style information, or simply put, occasion (eg, party/ sports/ casual
wear). Ap... | [
{
"created": "Wed, 26 Aug 2020 16:42:21 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Dec 2020 12:03:48 GMT",
"version": "v2"
}
] | 2020-12-14 | [
[
"Banerjee",
"Rajdeep Hazra",
""
],
[
"Ravi",
"Abhinav",
""
],
[
"Dutta",
"Ujjal Kr",
""
]
] | Popular fashion e-commerce platforms mostly provide details about low-level attributes of an apparel (eg, neck type, dress length, collar type) on their product detail pages. However, customers usually prefer to buy apparel based on their style information, or simply put, occasion (eg, party/ sports/ casual wear). Appl... |
2201.10015 | Reza Maalek | Reza Maalek and Shahrokh Maalek | Automatic Recognition and Digital Documentation of Cultural Heritage
Hemispherical Domes using Images | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Advancements in optical metrology has enabled documentation of dense 3D point
clouds of cultural heritage sites. For large scale and continuous digital
documentation, processing of dense 3D point clouds becomes computationally
cumbersome, and often requires additional hardware for data management,
increasing the time... | [
{
"created": "Tue, 25 Jan 2022 00:14:04 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Apr 2022 12:12:35 GMT",
"version": "v2"
}
] | 2022-04-07 | [
[
"Maalek",
"Reza",
""
],
[
"Maalek",
"Shahrokh",
""
]
] | Advancements in optical metrology has enabled documentation of dense 3D point clouds of cultural heritage sites. For large scale and continuous digital documentation, processing of dense 3D point clouds becomes computationally cumbersome, and often requires additional hardware for data management, increasing the time c... |
2212.12240 | Jingyang Zhao | Jingyang Zhao and Mingyu Xiao | Practical Algorithms with Guaranteed Approximation Ratio for TTP with
Maximum Tour Length Two | arXiv admin note: substantial text overlap with arXiv:2108.13060 | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | The Traveling Tournament Problem (TTP) is a hard but interesting sports
scheduling problem inspired by Major League Baseball, which is to design a
double round-robin schedule such that each pair of teams plays one game in each
other's home venue, minimizing the total distance traveled by all $n$ teams
($n$ is even). ... | [
{
"created": "Fri, 23 Dec 2022 10:30:20 GMT",
"version": "v1"
}
] | 2022-12-26 | [
[
"Zhao",
"Jingyang",
""
],
[
"Xiao",
"Mingyu",
""
]
] | The Traveling Tournament Problem (TTP) is a hard but interesting sports scheduling problem inspired by Major League Baseball, which is to design a double round-robin schedule such that each pair of teams plays one game in each other's home venue, minimizing the total distance traveled by all $n$ teams ($n$ is even). In... |
1411.5739 | Rahul Vaze | Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze | The Online Disjoint Set Cover Problem and its Applications | To appear in IEEE INFOCOM 2015 | null | 10.1109/INFOCOM.2015.7218497 | null | cs.DS cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a universe $U$ of $n$ elements and a collection of subsets
$\mathcal{S}$ of $U$, the maximum disjoint set cover problem (DSCP) is to
partition $\mathcal{S}$ into as many set covers as possible, where a set cover
is defined as a collection of subsets whose union is $U$. We consider the
online DSCP, in which the ... | [
{
"created": "Fri, 21 Nov 2014 01:52:19 GMT",
"version": "v1"
}
] | 2016-11-18 | [
[
"Pananjady",
"Ashwin",
""
],
[
"Bagaria",
"Vivek Kumar",
""
],
[
"Vaze",
"Rahul",
""
]
] | Given a universe $U$ of $n$ elements and a collection of subsets $\mathcal{S}$ of $U$, the maximum disjoint set cover problem (DSCP) is to partition $\mathcal{S}$ into as many set covers as possible, where a set cover is defined as a collection of subsets whose union is $U$. We consider the online DSCP, in which the su... |
2010.13170 | Ce Jin | Ce Jin, Jelani Nelson, Kewen Wu | An Improved Sketching Algorithm for Edit Distance | Appeared in STACS 2021. Fixed the title to match the conference
version | null | 10.4230/LIPIcs.STACS.2021.45 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We provide improved upper bounds for the simultaneous sketching complexity of
edit distance. Consider two parties, Alice with input $x\in\Sigma^n$ and Bob
with input $y\in\Sigma^n$, that share public randomness and are given a promise
that the edit distance $\mathsf{ed}(x,y)$ between their two strings is at most
some... | [
{
"created": "Sun, 25 Oct 2020 17:35:05 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Dec 2020 03:50:06 GMT",
"version": "v2"
},
{
"created": "Sun, 2 May 2021 09:00:34 GMT",
"version": "v3"
}
] | 2021-05-04 | [
[
"Jin",
"Ce",
""
],
[
"Nelson",
"Jelani",
""
],
[
"Wu",
"Kewen",
""
]
] | We provide improved upper bounds for the simultaneous sketching complexity of edit distance. Consider two parties, Alice with input $x\in\Sigma^n$ and Bob with input $y\in\Sigma^n$, that share public randomness and are given a promise that the edit distance $\mathsf{ed}(x,y)$ between their two strings is at most some g... |
2305.05335 | Sougata Saha | Sougata Saha, Rohini Srihari | Rudolf Christoph Eucken at SemEval-2023 Task 4: An Ensemble Approach for
Identifying Human Values from Arguments | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The subtle human values we acquire through life experiences govern our
thoughts and gets reflected in our speech. It plays an integral part in
capturing the essence of our individuality and making it imperative to identify
such values in computational systems that mimic human actions. Computational
argumentation is a... | [
{
"created": "Tue, 9 May 2023 10:54:34 GMT",
"version": "v1"
}
] | 2023-05-10 | [
[
"Saha",
"Sougata",
""
],
[
"Srihari",
"Rohini",
""
]
] | The subtle human values we acquire through life experiences govern our thoughts and gets reflected in our speech. It plays an integral part in capturing the essence of our individuality and making it imperative to identify such values in computational systems that mimic human actions. Computational argumentation is a f... |
2111.15301 | Jaafar Elmirghani | Abrar S. Alhazmi, Sanaa H. Mohamed and, T. E. H. El-Gorashi, and
Jaafar M. H. Elmirghani | Optical Wireless Sytems for Spine and Leaf Data Center Downlinks | null | null | null | null | cs.NI eess.SP | http://creativecommons.org/licenses/by/4.0/ | The continually growing demands for traffic as a result of advanced
technologies in 5G and 6G systems offering services with intensive demands such
as IoT and virtual reality applications has resulted in significant performance
expectations of data center networks (DCNs). More specifically, DCNs are
expected to meet ... | [
{
"created": "Tue, 30 Nov 2021 11:26:24 GMT",
"version": "v1"
}
] | 2021-12-01 | [
[
"Alhazmi",
"Abrar S.",
""
],
[
"and",
"Sanaa H. Mohamed",
""
],
[
"El-Gorashi",
"T. E. H.",
""
],
[
"Elmirghani",
"Jaafar M. H.",
""
]
] | The continually growing demands for traffic as a result of advanced technologies in 5G and 6G systems offering services with intensive demands such as IoT and virtual reality applications has resulted in significant performance expectations of data center networks (DCNs). More specifically, DCNs are expected to meet hi... |
2302.08950 | Vinicius Ribeiro | Vinicius Ribeiro, Yiteng Huang, Yuan Shangguan, Zhaojun Yang, Li Wan,
Ming Sun | Handling the Alignment for Wake Word Detection: A Comparison Between
Alignment-Based, Alignment-Free and Hybrid Approaches | Accepted to Interspeech 2023 | null | null | null | cs.CL cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Wake word detection exists in most intelligent homes and portable devices. It
offers these devices the ability to "wake up" when summoned at a low cost of
power and computing. This paper focuses on understanding alignment's role in
developing a wake-word system that answers a generic phrase. We discuss three
approach... | [
{
"created": "Fri, 17 Feb 2023 15:33:47 GMT",
"version": "v1"
},
{
"created": "Mon, 22 May 2023 14:44:21 GMT",
"version": "v2"
},
{
"created": "Wed, 7 Jun 2023 15:04:41 GMT",
"version": "v3"
}
] | 2023-06-08 | [
[
"Ribeiro",
"Vinicius",
""
],
[
"Huang",
"Yiteng",
""
],
[
"Shangguan",
"Yuan",
""
],
[
"Yang",
"Zhaojun",
""
],
[
"Wan",
"Li",
""
],
[
"Sun",
"Ming",
""
]
] | Wake word detection exists in most intelligent homes and portable devices. It offers these devices the ability to "wake up" when summoned at a low cost of power and computing. This paper focuses on understanding alignment's role in developing a wake-word system that answers a generic phrase. We discuss three approaches... |
1910.06266 | Dinesh Verma | D. Verma, S. Calo | Using AI/ML to gain situational understanding from passive network
observations | Presented at AAAI FSS-19: Artificial Intelligence in Government and
Public Sector, Arlington, Virginia, USA | null | null | null | cs.CR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The data available in the network traffic fromany Government building
contains a significant amount ofinformation. An analysis of the traffic can
yield insightsand situational understanding about what is happening inthe
building. However, the use of traditional network packet inspection, either
deep or shallow, is us... | [
{
"created": "Mon, 14 Oct 2019 16:46:33 GMT",
"version": "v1"
}
] | 2019-10-15 | [
[
"Verma",
"D.",
""
],
[
"Calo",
"S.",
""
]
] | The data available in the network traffic fromany Government building contains a significant amount ofinformation. An analysis of the traffic can yield insightsand situational understanding about what is happening inthe building. However, the use of traditional network packet inspection, either deep or shallow, is usef... |
1801.02261 | Avi Ben-Cohen | Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger,
Hayit Greenspan | Anatomical Data Augmentation For CNN based Pixel-wise Classification | To be presented at IEEE ISBI 2018 | null | 10.1109/ISBI.2018.8363762 | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we propose a method for anatomical data augmentation that is
based on using slices of computed tomography (CT) examinations that are
adjacent to labeled slices as another resource of labeled data for training the
network. The extended labeled data is used to train a U-net network for a
pixel-wise classif... | [
{
"created": "Sun, 7 Jan 2018 23:00:02 GMT",
"version": "v1"
}
] | 2018-07-24 | [
[
"Ben-Cohen",
"Avi",
""
],
[
"Klang",
"Eyal",
""
],
[
"Amitai",
"Michal Marianne",
""
],
[
"Goldberger",
"Jacob",
""
],
[
"Greenspan",
"Hayit",
""
]
] | In this work we propose a method for anatomical data augmentation that is based on using slices of computed tomography (CT) examinations that are adjacent to labeled slices as another resource of labeled data for training the network. The extended labeled data is used to train a U-net network for a pixel-wise classific... |
2309.05281 | Shentong Mo | Shentong Mo, Weiguo Pian, Yapeng Tian | Class-Incremental Grouping Network for Continual Audio-Visual Learning | ICCV 2023. arXiv admin note: text overlap with arXiv:2303.17056 | null | null | null | cs.CV cs.LG cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Continual learning is a challenging problem in which models need to be
trained on non-stationary data across sequential tasks for class-incremental
learning. While previous methods have focused on using either regularization or
rehearsal-based frameworks to alleviate catastrophic forgetting in image
classification, t... | [
{
"created": "Mon, 11 Sep 2023 07:36:16 GMT",
"version": "v1"
}
] | 2023-09-12 | [
[
"Mo",
"Shentong",
""
],
[
"Pian",
"Weiguo",
""
],
[
"Tian",
"Yapeng",
""
]
] | Continual learning is a challenging problem in which models need to be trained on non-stationary data across sequential tasks for class-incremental learning. While previous methods have focused on using either regularization or rehearsal-based frameworks to alleviate catastrophic forgetting in image classification, the... |
2002.04185 | Casey Chu | Casey Chu, Kentaro Minami, Kenji Fukumizu | Smoothness and Stability in GANs | ICLR 2020 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generative adversarial networks, or GANs, commonly display unstable behavior
during training. In this work, we develop a principled theoretical framework
for understanding the stability of various types of GANs. In particular, we
derive conditions that guarantee eventual stationarity of the generator when it
is train... | [
{
"created": "Tue, 11 Feb 2020 03:08:28 GMT",
"version": "v1"
}
] | 2020-02-12 | [
[
"Chu",
"Casey",
""
],
[
"Minami",
"Kentaro",
""
],
[
"Fukumizu",
"Kenji",
""
]
] | Generative adversarial networks, or GANs, commonly display unstable behavior during training. In this work, we develop a principled theoretical framework for understanding the stability of various types of GANs. In particular, we derive conditions that guarantee eventual stationarity of the generator when it is trained... |
2307.06304 | Mostafa Dehghani | Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek,
Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert
Geirhos, Ibrahim Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey
Gritsenko, Mario Lu\v{c}i\'c, Neil Houlsby | Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and
Resolution | null | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ubiquitous and demonstrably suboptimal choice of resizing images to a
fixed resolution before processing them with computer vision models has not yet
been successfully challenged. However, models such as the Vision Transformer
(ViT) offer flexible sequence-based modeling, and hence varying input sequence
lengths.... | [
{
"created": "Wed, 12 Jul 2023 17:01:03 GMT",
"version": "v1"
}
] | 2023-07-13 | [
[
"Dehghani",
"Mostafa",
""
],
[
"Mustafa",
"Basil",
""
],
[
"Djolonga",
"Josip",
""
],
[
"Heek",
"Jonathan",
""
],
[
"Minderer",
"Matthias",
""
],
[
"Caron",
"Mathilde",
""
],
[
"Steiner",
"Andreas",
""
],... | The ubiquitous and demonstrably suboptimal choice of resizing images to a fixed resolution before processing them with computer vision models has not yet been successfully challenged. However, models such as the Vision Transformer (ViT) offer flexible sequence-based modeling, and hence varying input sequence lengths. W... |
2208.01150 | Matthew McDermott | Matthew McDermott and Jason Rife | Mitigating Shadows in Lidar Scan Matching using Spherical Voxels | null | null | 10.1109/LRA.2022.3216987 | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we propose an approach to mitigate shadowing errors in Lidar
scan matching, by introducing a preprocessing step based on spherical gridding.
Because the grid aligns with the Lidar beam, it is relatively easy to eliminate
shadow edges which cause systematic errors in Lidar scan matching. As we show
throu... | [
{
"created": "Mon, 1 Aug 2022 21:44:51 GMT",
"version": "v1"
}
] | 2022-10-25 | [
[
"McDermott",
"Matthew",
""
],
[
"Rife",
"Jason",
""
]
] | In this paper we propose an approach to mitigate shadowing errors in Lidar scan matching, by introducing a preprocessing step based on spherical gridding. Because the grid aligns with the Lidar beam, it is relatively easy to eliminate shadow edges which cause systematic errors in Lidar scan matching. As we show through... |
2101.07622 | Chang Sun | Chang Sun | Knowledge Graph for Microdata of Statistics Netherlands | null | null | null | null | cs.DL cs.DB | http://creativecommons.org/licenses/by/4.0/ | Statistics Netherlands (CBS) hosted a huge amount of data not only on the
statistical level but also on the individual level. With the development of
data science technologies, more and more researchers request to conduct their
research by using high-quality individual data from CBS (called CBS Microdata)
or combinin... | [
{
"created": "Tue, 19 Jan 2021 13:54:57 GMT",
"version": "v1"
}
] | 2021-01-20 | [
[
"Sun",
"Chang",
""
]
] | Statistics Netherlands (CBS) hosted a huge amount of data not only on the statistical level but also on the individual level. With the development of data science technologies, more and more researchers request to conduct their research by using high-quality individual data from CBS (called CBS Microdata) or combining ... |
2001.03898 | Yao Zhang | Yao Zhang, Daniel Jarrett, Mihaela van der Schaar | Stepwise Model Selection for Sequence Prediction via Deep Kernel
Learning | null | Proceedings of the 23rd International Conference on Artificial
Intelligence and Statistics (AISTATS) 2020 | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An essential problem in automated machine learning (AutoML) is that of model
selection. A unique challenge in the sequential setting is the fact that the
optimal model itself may vary over time, depending on the distribution of
features and labels available up to each point in time. In this paper, we
propose a novel ... | [
{
"created": "Sun, 12 Jan 2020 09:42:19 GMT",
"version": "v1"
},
{
"created": "Sun, 9 Feb 2020 13:54:16 GMT",
"version": "v2"
},
{
"created": "Fri, 14 Feb 2020 11:46:09 GMT",
"version": "v3"
}
] | 2020-02-17 | [
[
"Zhang",
"Yao",
""
],
[
"Jarrett",
"Daniel",
""
],
[
"van der Schaar",
"Mihaela",
""
]
] | An essential problem in automated machine learning (AutoML) is that of model selection. A unique challenge in the sequential setting is the fact that the optimal model itself may vary over time, depending on the distribution of features and labels available up to each point in time. In this paper, we propose a novel Ba... |
2301.04452 | Liel Leman | Gabriella Chouraqui and Liron Cohen and Gil Einziger and Liel Leman | Uncertainty Estimation based on Geometric Separation | Submitted to JMLR. arXiv admin note: substantial text overlap with
arXiv:2206.11562 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | In machine learning, accurately predicting the probability that a specific
input is correct is crucial for risk management. This process, known as
uncertainty (or confidence) estimation, is particularly important in
mission-critical applications such as autonomous driving. In this work, we put
forward a novel geometr... | [
{
"created": "Wed, 11 Jan 2023 13:19:24 GMT",
"version": "v1"
}
] | 2023-01-12 | [
[
"Chouraqui",
"Gabriella",
""
],
[
"Cohen",
"Liron",
""
],
[
"Einziger",
"Gil",
""
],
[
"Leman",
"Liel",
""
]
] | In machine learning, accurately predicting the probability that a specific input is correct is crucial for risk management. This process, known as uncertainty (or confidence) estimation, is particularly important in mission-critical applications such as autonomous driving. In this work, we put forward a novel geometric... |
1411.6361 | Baptiste Wicht | Baptiste Wicht, Roberto A. Vitillo, Dehao Chen, David Levinthal | Hardware Counted Profile-Guided Optimization | 10 pages | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Profile-Guided Optimization (PGO) is an excellent means to improve the
performance of a compiled program. Indeed, the execution path data it provides
helps the compiler to generate better code and better cacheline packing.
At the time of this writing, compilers only support instrumentation-based
PGO. This proved ef... | [
{
"created": "Mon, 24 Nov 2014 07:01:31 GMT",
"version": "v1"
}
] | 2014-11-25 | [
[
"Wicht",
"Baptiste",
""
],
[
"Vitillo",
"Roberto A.",
""
],
[
"Chen",
"Dehao",
""
],
[
"Levinthal",
"David",
""
]
] | Profile-Guided Optimization (PGO) is an excellent means to improve the performance of a compiled program. Indeed, the execution path data it provides helps the compiler to generate better code and better cacheline packing. At the time of this writing, compilers only support instrumentation-based PGO. This proved effect... |
2208.09333 | Pedro Reviriego | Pedro Reviriego and Elena Merino-G\'omez | Text to Image Generation: Leaving no Language Behind | null | null | null | null | cs.CL cs.AI cs.CV | http://creativecommons.org/licenses/by/4.0/ | One of the latest applications of Artificial Intelligence (AI) is to generate
images from natural language descriptions. These generators are now becoming
available and achieve impressive results that have been used for example in the
front cover of magazines. As the input to the generators is in the form of a
natura... | [
{
"created": "Fri, 19 Aug 2022 13:24:56 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Nov 2022 10:53:35 GMT",
"version": "v2"
}
] | 2022-11-18 | [
[
"Reviriego",
"Pedro",
""
],
[
"Merino-Gómez",
"Elena",
""
]
] | One of the latest applications of Artificial Intelligence (AI) is to generate images from natural language descriptions. These generators are now becoming available and achieve impressive results that have been used for example in the front cover of magazines. As the input to the generators is in the form of a natural ... |
2307.01168 | Vitor Fortes Rey | Vitor Fortes Rey, Dominique Nshimyimana, Paul Lukowicz | Don't freeze: Finetune encoders for better Self-Supervised HAR | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Recently self-supervised learning has been proposed in the field of human
activity recognition as a solution to the labelled data availability problem.
The idea being that by using pretext tasks such as reconstruction or
contrastive predictive coding, useful representations can be learned that then
can be used for cl... | [
{
"created": "Mon, 3 Jul 2023 17:23:34 GMT",
"version": "v1"
}
] | 2023-07-04 | [
[
"Rey",
"Vitor Fortes",
""
],
[
"Nshimyimana",
"Dominique",
""
],
[
"Lukowicz",
"Paul",
""
]
] | Recently self-supervised learning has been proposed in the field of human activity recognition as a solution to the labelled data availability problem. The idea being that by using pretext tasks such as reconstruction or contrastive predictive coding, useful representations can be learned that then can be used for clas... |
1803.02549 | Hyoyoung Jung | Hyoyoung Jung, Jaewook Kang, Tae Seok Lee, Suil Kim, Kiseon Kim | An iALM-ICA-based Anti-Jamming DS-CDMA Receiver for LMS Systems | IEEE Transactions on Aerospace and Electric Systems, "accepted" | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a land mobile satellite communication system using spread
spectrum techniques where the uplink is exposed to MT jamming attacks, and the
downlink is corrupted by multi-path fading channels. We proposes an
anti-jamming receiver, which exploits inherent low-dimensionality of the
received signal model, by fo... | [
{
"created": "Wed, 7 Mar 2018 07:25:36 GMT",
"version": "v1"
}
] | 2018-03-08 | [
[
"Jung",
"Hyoyoung",
""
],
[
"Kang",
"Jaewook",
""
],
[
"Lee",
"Tae Seok",
""
],
[
"Kim",
"Suil",
""
],
[
"Kim",
"Kiseon",
""
]
] | We consider a land mobile satellite communication system using spread spectrum techniques where the uplink is exposed to MT jamming attacks, and the downlink is corrupted by multi-path fading channels. We proposes an anti-jamming receiver, which exploits inherent low-dimensionality of the received signal model, by form... |
1908.05243 | Morteza Banagar | Morteza Banagar and Harpreet S. Dhillon | Performance Characterization of Canonical Mobility Models in Drone
Cellular Networks | Journal submission. A part of this paper will be presented at IEEE
Globecom 2019. It is available at arXiv:1905.00972 | null | 10.1109/TWC.2020.2988633 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we characterize the performance of several canonical mobility
models in a drone cellular network in which drone base stations (DBSs) serve
user equipments (UEs) on the ground. In particular, we consider the following
four mobility models: (i) straight line (SL), (ii) random stop (RS), (iii)
random walk... | [
{
"created": "Wed, 14 Aug 2019 17:08:51 GMT",
"version": "v1"
}
] | 2021-01-26 | [
[
"Banagar",
"Morteza",
""
],
[
"Dhillon",
"Harpreet S.",
""
]
] | In this paper, we characterize the performance of several canonical mobility models in a drone cellular network in which drone base stations (DBSs) serve user equipments (UEs) on the ground. In particular, we consider the following four mobility models: (i) straight line (SL), (ii) random stop (RS), (iii) random walk (... |
1501.05390 | Victor Pan | Victor Y. Pan and Liang Zhao | Real Polynomial Root-finding by Means of Matrix and Polynomial
Iterations | 24 pages 12 tables. arXiv admin note: substantial text overlap with
arXiv:1404.6817 | null | null | null | cs.SC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Univariate polynomial root-finding is a classical subject, still important
for modern computing. Frequently one seeks just the real roots of a polynomial
with real coefficients. They can be approximated at a low computational cost if
the polynomial has no nonreal roots, but for high degree polynomials, nonreal
roots ... | [
{
"created": "Thu, 22 Jan 2015 04:30:09 GMT",
"version": "v1"
},
{
"created": "Sat, 1 Aug 2015 04:01:28 GMT",
"version": "v2"
},
{
"created": "Thu, 13 Apr 2017 15:56:28 GMT",
"version": "v3"
}
] | 2017-04-14 | [
[
"Pan",
"Victor Y.",
""
],
[
"Zhao",
"Liang",
""
]
] | Univariate polynomial root-finding is a classical subject, still important for modern computing. Frequently one seeks just the real roots of a polynomial with real coefficients. They can be approximated at a low computational cost if the polynomial has no nonreal roots, but for high degree polynomials, nonreal roots ar... |
2108.12238 | Ling Chen | Ling Chen, Jiahui Xu, Binqing Wu, Yuntao Qian, Zhenhong Du, Yansheng
Li, Yongjun Zhang | Group-Aware Graph Neural Network for Nationwide City Air Quality
Forecasting | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of air pollution threatens public health. Air quality forecasting
can provide the air quality index hours or even days later, which can help the
public to prevent air pollution in advance. Previous works focus on citywide
air quality forecasting and cannot solve nationwide city forecasting problem,
whose ... | [
{
"created": "Fri, 27 Aug 2021 12:37:56 GMT",
"version": "v1"
}
] | 2021-08-30 | [
[
"Chen",
"Ling",
""
],
[
"Xu",
"Jiahui",
""
],
[
"Wu",
"Binqing",
""
],
[
"Qian",
"Yuntao",
""
],
[
"Du",
"Zhenhong",
""
],
[
"Li",
"Yansheng",
""
],
[
"Zhang",
"Yongjun",
""
]
] | The problem of air pollution threatens public health. Air quality forecasting can provide the air quality index hours or even days later, which can help the public to prevent air pollution in advance. Previous works focus on citywide air quality forecasting and cannot solve nationwide city forecasting problem, whose di... |
1506.04352 | Zhe Wang | Zhe Wang, Kai Hu, Baolin Yin | Internet Traffic Matrix Structural Analysis Based on Multi-Resolution
RPCA | 18 pages, in Chinese. This unpublished manuscript is an improvement
on our previous papers in references [12] and [13] | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Internet traffic matrix plays a significant roll in network operation and
management, therefore, the structural analysis of traffic matrix, which
decomposes different traffic components of this high-dimensional traffic
dataset, is quite valuable to some network applications. In this study, based
on the Robust Pri... | [
{
"created": "Sun, 14 Jun 2015 05:12:56 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Jun 2015 06:43:46 GMT",
"version": "v2"
}
] | 2015-06-29 | [
[
"Wang",
"Zhe",
""
],
[
"Hu",
"Kai",
""
],
[
"Yin",
"Baolin",
""
]
] | The Internet traffic matrix plays a significant roll in network operation and management, therefore, the structural analysis of traffic matrix, which decomposes different traffic components of this high-dimensional traffic dataset, is quite valuable to some network applications. In this study, based on the Robust Princ... |
2204.13952 | Xiaoqing Fan | Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li | Deep Geometry Post-Processing for Decompressed Point Clouds | null | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by/4.0/ | Point cloud compression plays a crucial role in reducing the huge cost of
data storage and transmission. However, distortions can be introduced into the
decompressed point clouds due to quantization. In this paper, we propose a
novel learning-based post-processing method to enhance the decompressed point
clouds. Spec... | [
{
"created": "Fri, 29 Apr 2022 08:57:03 GMT",
"version": "v1"
}
] | 2022-05-02 | [
[
"Fan",
"Xiaoqing",
""
],
[
"Li",
"Ge",
""
],
[
"Li",
"Dingquan",
""
],
[
"Ren",
"Yurui",
""
],
[
"Gao",
"Wei",
""
],
[
"Li",
"Thomas H.",
""
]
] | Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission. However, distortions can be introduced into the decompressed point clouds due to quantization. In this paper, we propose a novel learning-based post-processing method to enhance the decompressed point clouds. Specif... |
1701.06828 | Nidhi Rastogi | Nidhi Rastogi, Marie Joan Kristine Gloria and James Hendler | Security and Privacy of performing Data Analytics in the cloud - A
three-way handshake of Technology, Policy, and Management | 28 pages, 3 figures, Journal of Information Privacy | Journal of Information Policy 5 (2015): 129-154 | null | null | cs.DC cs.CY cs.NI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Cloud platform came into existence primarily to accelerate IT delivery and to
promote innovation. To this point, it has performed largely well to the
expectations of technologists, businesses and customers. The service aspect of
this technology has paved the road for a faster set up of infrastructure and
related goal... | [
{
"created": "Tue, 24 Jan 2017 11:59:28 GMT",
"version": "v1"
}
] | 2017-01-25 | [
[
"Rastogi",
"Nidhi",
""
],
[
"Gloria",
"Marie Joan Kristine",
""
],
[
"Hendler",
"James",
""
]
] | Cloud platform came into existence primarily to accelerate IT delivery and to promote innovation. To this point, it has performed largely well to the expectations of technologists, businesses and customers. The service aspect of this technology has paved the road for a faster set up of infrastructure and related goals ... |
1312.1121 | Jan Palczewski | Anna Palczewska and Jan Palczewski and Richard Marchese Robinson and
Daniel Neagu | Interpreting random forest classification models using a feature
contribution method | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Model interpretation is one of the key aspects of the model evaluation
process. The explanation of the relationship between model variables and
outputs is relatively easy for statistical models, such as linear regressions,
thanks to the availability of model parameters and their statistical
significance. For "black b... | [
{
"created": "Wed, 4 Dec 2013 11:57:53 GMT",
"version": "v1"
}
] | 2013-12-05 | [
[
"Palczewska",
"Anna",
""
],
[
"Palczewski",
"Jan",
""
],
[
"Robinson",
"Richard Marchese",
""
],
[
"Neagu",
"Daniel",
""
]
] | Model interpretation is one of the key aspects of the model evaluation process. The explanation of the relationship between model variables and outputs is relatively easy for statistical models, such as linear regressions, thanks to the availability of model parameters and their statistical significance. For "black box... |
1812.11346 | Fotis Savva | Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou | Explaining Aggregates for Exploratory Analytics | 13 pages | null | 10.1109/BigData.2018.8621953 | null | cs.DB cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Analysts wishing to explore multivariate data spaces, typically pose queries
involving selection operators, i.e., range or radius queries, which define data
subspaces of possible interest and then use aggregation functions, the results
of which determine their exploratory analytics interests. However, such
aggregate ... | [
{
"created": "Sat, 29 Dec 2018 11:43:32 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Mar 2020 17:04:57 GMT",
"version": "v2"
}
] | 2020-03-13 | [
[
"Savva",
"Fotis",
""
],
[
"Anagnostopoulos",
"Christos",
""
],
[
"Triantafillou",
"Peter",
""
]
] | Analysts wishing to explore multivariate data spaces, typically pose queries involving selection operators, i.e., range or radius queries, which define data subspaces of possible interest and then use aggregation functions, the results of which determine their exploratory analytics interests. However, such aggregate qu... |
2007.09206 | Daniel Garijo | Daniel Garijo and Maximiliano Osorio | OBA: An Ontology-Based Framework for Creating REST APIs for Knowledge
Graphs | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | In recent years, Semantic Web technologies have been increasingly adopted by
researchers, industry and public institutions to describe and link data on the
Web, create web annotations and consume large knowledge graphs like Wikidata
and DBPedia. However, there is still a knowledge gap between ontology
engineers, who ... | [
{
"created": "Fri, 17 Jul 2020 19:46:18 GMT",
"version": "v1"
}
] | 2020-07-21 | [
[
"Garijo",
"Daniel",
""
],
[
"Osorio",
"Maximiliano",
""
]
] | In recent years, Semantic Web technologies have been increasingly adopted by researchers, industry and public institutions to describe and link data on the Web, create web annotations and consume large knowledge graphs like Wikidata and DBPedia. However, there is still a knowledge gap between ontology engineers, who de... |
2210.10637 | Kai Sun | Kai Sun | Digital Asset Valuation: A Study on Domain Names, Email Addresses, and
NFTs | null | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing works on valuing digital assets on the Internet typically focus on a
single asset class. To promote the development of automated valuation
techniques, preferably those that are generally applicable to multiple asset
classes, we construct DASH, the first Digital Asset Sales History dataset that
features multi... | [
{
"created": "Thu, 6 Oct 2022 12:59:06 GMT",
"version": "v1"
}
] | 2022-10-20 | [
[
"Sun",
"Kai",
""
]
] | Existing works on valuing digital assets on the Internet typically focus on a single asset class. To promote the development of automated valuation techniques, preferably those that are generally applicable to multiple asset classes, we construct DASH, the first Digital Asset Sales History dataset that features multipl... |
2008.03124 | Md Obaidul Hossen | Md Obaidul Hossen, Yang Zhang, Hesam Fathi Moghadam, Yue Zhang,
Michael Dayringer, Muhannad S Bakir | Design Space Exploration of Power Delivery For Advanced Packaging
Technologies | null | null | null | null | cs.AR eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a design space exploration of power delivery networks is
performed for multi-chip 2.5-D and 3-D IC technologies. The focus of the paper
is the effective placement of the voltage regulator modules (VRMs) for power
supply noise (PSN) suppression. Multiple on-package VRM configurations have
been analyzed ... | [
{
"created": "Fri, 10 Jul 2020 17:56:02 GMT",
"version": "v1"
}
] | 2020-08-10 | [
[
"Hossen",
"Md Obaidul",
""
],
[
"Zhang",
"Yang",
""
],
[
"Moghadam",
"Hesam Fathi",
""
],
[
"Zhang",
"Yue",
""
],
[
"Dayringer",
"Michael",
""
],
[
"Bakir",
"Muhannad S",
""
]
] | In this paper, a design space exploration of power delivery networks is performed for multi-chip 2.5-D and 3-D IC technologies. The focus of the paper is the effective placement of the voltage regulator modules (VRMs) for power supply noise (PSN) suppression. Multiple on-package VRM configurations have been analyzed an... |
2405.08645 | Boqi Chen | Boqi Chen, Krist\'of Marussy, Oszk\'ar Semer\'ath, Gunter Mussbacher,
D\'aniel Varr\'o | Certifying Robustness of Graph Convolutional Networks for Node
Perturbation with Polyhedra Abstract Interpretation | null | null | null | null | cs.LG cs.FL | http://creativecommons.org/licenses/by/4.0/ | Graph convolutional neural networks (GCNs) are powerful tools for learning
graph-based knowledge representations from training data. However, they are
vulnerable to small perturbations in the input graph, which makes them
susceptible to input faults or adversarial attacks. This poses a significant
problem for GCNs in... | [
{
"created": "Tue, 14 May 2024 14:21:55 GMT",
"version": "v1"
}
] | 2024-05-15 | [
[
"Chen",
"Boqi",
""
],
[
"Marussy",
"Kristóf",
""
],
[
"Semeráth",
"Oszkár",
""
],
[
"Mussbacher",
"Gunter",
""
],
[
"Varró",
"Dániel",
""
]
] | Graph convolutional neural networks (GCNs) are powerful tools for learning graph-based knowledge representations from training data. However, they are vulnerable to small perturbations in the input graph, which makes them susceptible to input faults or adversarial attacks. This poses a significant problem for GCNs inte... |
2406.13629 | Zhepei Wei | Zhepei Wei, Wei-Lin Chen, Yu Meng | InstructRAG: Instructing Retrieval-Augmented Generation with Explicit
Denoising | Code: https://github.com/weizhepei/InstructRAG | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Retrieval-augmented generation (RAG) has shown promising potential to enhance
the accuracy and factuality of language models (LMs). However, imperfect
retrievers or noisy corpora can introduce misleading or even erroneous
information to the retrieved contents, posing a significant challenge to the
generation quality.... | [
{
"created": "Wed, 19 Jun 2024 15:25:29 GMT",
"version": "v1"
}
] | 2024-06-21 | [
[
"Wei",
"Zhepei",
""
],
[
"Chen",
"Wei-Lin",
""
],
[
"Meng",
"Yu",
""
]
] | Retrieval-augmented generation (RAG) has shown promising potential to enhance the accuracy and factuality of language models (LMs). However, imperfect retrievers or noisy corpora can introduce misleading or even erroneous information to the retrieved contents, posing a significant challenge to the generation quality. E... |
1101.2288 | Feng Liu | Feng Liu, Chung Chan, Ying Jun (Angela) Zhang | On the Degree of Freedom for Multi-Source Multi-Destination Wireless
Network with Multi-layer Relays | 15 pages, 2 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Degree of freedom (DoF) region provides an approximation of capacity region
in high signal-to-noise ratio (SNR) regime, while sum DoF gives the scaling
factor. In this correspondence, we analyse the DoF region and sum DoF for
unicast layered multi-hop relay wireless networks with arbitrary number of
source/destinatio... | [
{
"created": "Wed, 12 Jan 2011 08:04:17 GMT",
"version": "v1"
}
] | 2015-03-17 | [
[
"Liu",
"Feng",
"",
"Angela"
],
[
"Chan",
"Chung",
"",
"Angela"
],
[
"Jun",
"Ying",
"",
"Angela"
],
[
"Zhang",
"",
""
]
] | Degree of freedom (DoF) region provides an approximation of capacity region in high signal-to-noise ratio (SNR) regime, while sum DoF gives the scaling factor. In this correspondence, we analyse the DoF region and sum DoF for unicast layered multi-hop relay wireless networks with arbitrary number of source/destination/... |
1610.01795 | Mohamad Ivan Fanany | Ines Heidieni Ikasari, Vina Ayumi, Mohamad Ivan Fanany, Sidik Mulyono | Multiple Regularizations Deep Learning for Paddy Growth Stages
Classification from LANDSAT-8 | 11 pages | null | null | null | cs.CV cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This study uses remote sensing technology that can provide information about
the condition of the earth's surface area, fast, and spatially. The study area
was in Karawang District, lying in the Northern part of West Java-Indonesia. We
address a paddy growth stages classification using LANDSAT 8 image data
obtained f... | [
{
"created": "Thu, 6 Oct 2016 09:46:08 GMT",
"version": "v1"
}
] | 2016-10-07 | [
[
"Ikasari",
"Ines Heidieni",
""
],
[
"Ayumi",
"Vina",
""
],
[
"Fanany",
"Mohamad Ivan",
""
],
[
"Mulyono",
"Sidik",
""
]
] | This study uses remote sensing technology that can provide information about the condition of the earth's surface area, fast, and spatially. The study area was in Karawang District, lying in the Northern part of West Java-Indonesia. We address a paddy growth stages classification using LANDSAT 8 image data obtained fro... |
2406.08446 | Yuling Gu | Yuling Gu, Oyvind Tafjord, Bailey Kuehl, Dany Haddad, Jesse Dodge,
Hannaneh Hajishirzi | OLMES: A Standard for Language Model Evaluations | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Progress in AI is often demonstrated by new models claiming improved
performance on tasks measuring model capabilities. Evaluating language models
in particular is challenging, as small changes to how a model is evaluated on a
task can lead to large changes in measured performance. There is no common
standard setup, ... | [
{
"created": "Wed, 12 Jun 2024 17:37:09 GMT",
"version": "v1"
}
] | 2024-06-13 | [
[
"Gu",
"Yuling",
""
],
[
"Tafjord",
"Oyvind",
""
],
[
"Kuehl",
"Bailey",
""
],
[
"Haddad",
"Dany",
""
],
[
"Dodge",
"Jesse",
""
],
[
"Hajishirzi",
"Hannaneh",
""
]
] | Progress in AI is often demonstrated by new models claiming improved performance on tasks measuring model capabilities. Evaluating language models in particular is challenging, as small changes to how a model is evaluated on a task can lead to large changes in measured performance. There is no common standard setup, so... |
2112.14569 | Ivan P Yamshchikov | Vladislav Mosin, Igor Samenko, Alexey Tikhonov, Borislav Kozlovskii,
Ivan P. Yamshchikov | Fine-Tuning Transformers: Vocabulary Transfer | null | null | 10.1016/j.artint.2023.103860 | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformers are responsible for the vast majority of recent advances in
natural language processing. The majority of practical natural language
processing applications of these models are typically enabled through transfer
learning. This paper studies if corpus-specific tokenization used for
fine-tuning improves the... | [
{
"created": "Wed, 29 Dec 2021 14:22:42 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Dec 2022 19:42:06 GMT",
"version": "v2"
}
] | 2024-02-02 | [
[
"Mosin",
"Vladislav",
""
],
[
"Samenko",
"Igor",
""
],
[
"Tikhonov",
"Alexey",
""
],
[
"Kozlovskii",
"Borislav",
""
],
[
"Yamshchikov",
"Ivan P.",
""
]
] | Transformers are responsible for the vast majority of recent advances in natural language processing. The majority of practical natural language processing applications of these models are typically enabled through transfer learning. This paper studies if corpus-specific tokenization used for fine-tuning improves the r... |
1802.08236 | Xin Jin | Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert
Soule, Changhoon Kim, Ion Stoica | NetChain: Scale-Free Sub-RTT Coordination (Extended Version) | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Coordination services are a fundamental building block of modern cloud
systems, providing critical functionalities like configuration management and
distributed locking. The major challenge is to achieve low latency and high
throughput while providing strong consistency and fault-tolerance. Traditional
server-based s... | [
{
"created": "Thu, 22 Feb 2018 18:46:39 GMT",
"version": "v1"
}
] | 2018-02-23 | [
[
"Jin",
"Xin",
""
],
[
"Li",
"Xiaozhou",
""
],
[
"Zhang",
"Haoyu",
""
],
[
"Foster",
"Nate",
""
],
[
"Lee",
"Jeongkeun",
""
],
[
"Soule",
"Robert",
""
],
[
"Kim",
"Changhoon",
""
],
[
"Stoica",
"... | Coordination services are a fundamental building block of modern cloud systems, providing critical functionalities like configuration management and distributed locking. The major challenge is to achieve low latency and high throughput while providing strong consistency and fault-tolerance. Traditional server-based sol... |
1911.07643 | Miguel Suau | Miguel Suau, Jinke He, Elena Congeduti, Rolf A.N. Starre, Aleksander
Czechowski, Frans A. Oliehoek | Influence-aware Memory Architectures for Deep Reinforcement Learning | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to its perceptual limitations, an agent may have too little information
about the state of the environment to act optimally. In such cases, it is
important to keep track of the observation history to uncover hidden state.
Recent deep reinforcement learning methods use recurrent neural networks (RNN)
to memorize p... | [
{
"created": "Mon, 18 Nov 2019 13:54:25 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Nov 2019 20:50:00 GMT",
"version": "v2"
},
{
"created": "Tue, 18 Aug 2020 09:00:18 GMT",
"version": "v3"
},
{
"created": "Wed, 17 Feb 2021 18:26:14 GMT",
"version": "v4"
}
] | 2021-02-18 | [
[
"Suau",
"Miguel",
""
],
[
"He",
"Jinke",
""
],
[
"Congeduti",
"Elena",
""
],
[
"Starre",
"Rolf A. N.",
""
],
[
"Czechowski",
"Aleksander",
""
],
[
"Oliehoek",
"Frans A.",
""
]
] | Due to its perceptual limitations, an agent may have too little information about the state of the environment to act optimally. In such cases, it is important to keep track of the observation history to uncover hidden state. Recent deep reinforcement learning methods use recurrent neural networks (RNN) to memorize pas... |
1202.1490 | Aravindh Krishnamoorthy | Aravindh Krishnamoorthy, Kenan Kocagoez | Singular Values using Cholesky Decomposition | null | null | null | null | cs.MS cs.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper two ways to compute singular values are presented which use
Cholesky decomposition as their basic operation.
| [
{
"created": "Tue, 7 Feb 2012 18:37:07 GMT",
"version": "v1"
}
] | 2015-03-20 | [
[
"Krishnamoorthy",
"Aravindh",
""
],
[
"Kocagoez",
"Kenan",
""
]
] | In this paper two ways to compute singular values are presented which use Cholesky decomposition as their basic operation. |
2105.14935 | Dalila Tamzalit | Jean-Philippe Gouigoux, Dalila Tamzalit (IUT Nantes, LS2N), Joost
Noppen | Microservice Maturity of Organizations: towards an assessment framework | null | International Conference on Research Challenges in Information
Science, May 2021, Virtual, Cyprus. pp.523-540 | 10.1007/978-3-030-75018-3_34 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This early work aims to allow organizations to diagnose their capacity to
properly adopt microservices through initial milestones of a Microservice
Maturity Model (MiMMo). The objective is to prepare the way towards a general
framework to help companies and industries to determine their microservices
maturity. Organi... | [
{
"created": "Mon, 31 May 2021 13:01:06 GMT",
"version": "v1"
}
] | 2021-06-01 | [
[
"Gouigoux",
"Jean-Philippe",
"",
"IUT Nantes, LS2N"
],
[
"Tamzalit",
"Dalila",
"",
"IUT Nantes, LS2N"
],
[
"Noppen",
"Joost",
""
]
] | This early work aims to allow organizations to diagnose their capacity to properly adopt microservices through initial milestones of a Microservice Maturity Model (MiMMo). The objective is to prepare the way towards a general framework to help companies and industries to determine their microservices maturity. Organiza... |
2203.05551 | Stephen Whitelam | Stephen Whitelam, Isaac Tamblyn | Cellular automata can classify data by inducing trajectory phase
coexistence | null | null | 10.1103/PhysRevE.108.014126 | null | cs.NE cond-mat.stat-mech | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show that cellular automata can classify data by inducing a form of
dynamical phase coexistence. We use Monte Carlo methods to search for general
two-dimensional deterministic automata that classify images on the basis of
activity, the number of state changes that occur in a trajectory initiated from
the image. Wh... | [
{
"created": "Thu, 10 Mar 2022 18:57:27 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Apr 2022 18:33:15 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Jul 2022 22:33:05 GMT",
"version": "v3"
}
] | 2023-08-02 | [
[
"Whitelam",
"Stephen",
""
],
[
"Tamblyn",
"Isaac",
""
]
] | We show that cellular automata can classify data by inducing a form of dynamical phase coexistence. We use Monte Carlo methods to search for general two-dimensional deterministic automata that classify images on the basis of activity, the number of state changes that occur in a trajectory initiated from the image. When... |
2305.11361 | David Liu | David Liu, Virginie Do, Nicolas Usunier, Maximilian Nickel | Group fairness without demographics using social networks | null | null | 10.1145/3593013.3594091 | null | cs.CY cs.SI | http://creativecommons.org/licenses/by/4.0/ | Group fairness is a popular approach to prevent unfavorable treatment of
individuals based on sensitive attributes such as race, gender, and disability.
However, the reliance of group fairness on access to discrete group information
raises several limitations and concerns, especially with regard to privacy,
intersect... | [
{
"created": "Fri, 19 May 2023 00:45:55 GMT",
"version": "v1"
}
] | 2023-05-22 | [
[
"Liu",
"David",
""
],
[
"Do",
"Virginie",
""
],
[
"Usunier",
"Nicolas",
""
],
[
"Nickel",
"Maximilian",
""
]
] | Group fairness is a popular approach to prevent unfavorable treatment of individuals based on sensitive attributes such as race, gender, and disability. However, the reliance of group fairness on access to discrete group information raises several limitations and concerns, especially with regard to privacy, intersectio... |
1407.3208 | Brian Ruttenberg | Brian E. Ruttenberg and Avi Pfeffer | Decision-Making with Complex Data Structures using Probabilistic
Programming | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing decision-theoretic reasoning frameworks such as decision networks
use simple data structures and processes. However, decisions are often made
based on complex data structures, such as social networks and protein
sequences, and rich processes involving those structures. We present a
framework for representing... | [
{
"created": "Fri, 11 Jul 2014 16:20:15 GMT",
"version": "v1"
}
] | 2014-07-14 | [
[
"Ruttenberg",
"Brian E.",
""
],
[
"Pfeffer",
"Avi",
""
]
] | Existing decision-theoretic reasoning frameworks such as decision networks use simple data structures and processes. However, decisions are often made based on complex data structures, such as social networks and protein sequences, and rich processes involving those structures. We present a framework for representing d... |
1904.00979 | Yingwei Li | Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen and Alan
L. Yuille | Regional Homogeneity: Towards Learning Transferable Universal
Adversarial Perturbations Against Defenses | ECCV 2020. Project page:
https://github.com/LiYingwei/Regional-Homogeneity | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper focuses on learning transferable adversarial examples specifically
against defense models (models to defense adversarial attacks). In particular,
we show that a simple universal perturbation can fool a series of
state-of-the-art defenses.
Adversarial examples generated by existing attacks are generally h... | [
{
"created": "Mon, 1 Apr 2019 17:31:02 GMT",
"version": "v1"
},
{
"created": "Fri, 31 Jul 2020 01:42:37 GMT",
"version": "v2"
}
] | 2020-08-03 | [
[
"Li",
"Yingwei",
""
],
[
"Bai",
"Song",
""
],
[
"Xie",
"Cihang",
""
],
[
"Liao",
"Zhenyu",
""
],
[
"Shen",
"Xiaohui",
""
],
[
"Yuille",
"Alan L.",
""
]
] | This paper focuses on learning transferable adversarial examples specifically against defense models (models to defense adversarial attacks). In particular, we show that a simple universal perturbation can fool a series of state-of-the-art defenses. Adversarial examples generated by existing attacks are generally hard ... |
1404.6451 | Krasimir Yordzhev | Krasimir Yordzhev | On an Algorithm for Isomorphism-Free Generations of Combinatorial
Objects | null | International Journal of Emerging Trends & Technology in Computer
Science (IJETTCS), Vol. 2, No. 6 (2013) 215-220 | null | null | cs.DS cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the work are defined the concepts semi-canonical and canonical binary
matrix. What is described is an algorithm solving the combinatorial problem for
finding the semi-canonical matrices in the set \Lambda_n^k consisting of all
n\times n binary matrices having exactly k 1's in every row and every column
without per... | [
{
"created": "Fri, 25 Apr 2014 15:14:48 GMT",
"version": "v1"
}
] | 2014-04-28 | [
[
"Yordzhev",
"Krasimir",
""
]
] | In the work are defined the concepts semi-canonical and canonical binary matrix. What is described is an algorithm solving the combinatorial problem for finding the semi-canonical matrices in the set \Lambda_n^k consisting of all n\times n binary matrices having exactly k 1's in every row and every column without peram... |
2403.11395 | Alhassan Mumuni | Alhassan Mumuni and Fuseini Mumuni | Automated data processing and feature engineering for deep learning and
big data applications: a survey | Journal of Information and Intelligence (2024) | null | 10.1016/j.jiixd.2024.01.002 | null | cs.LG cs.AI cs.DB | http://creativecommons.org/licenses/by/4.0/ | Modern approach to artificial intelligence (AI) aims to design algorithms
that learn directly from data. This approach has achieved impressive results
and has contributed significantly to the progress of AI, particularly in the
sphere of supervised deep learning. It has also simplified the design of
machine learning ... | [
{
"created": "Mon, 18 Mar 2024 01:07:48 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Mar 2024 09:36:27 GMT",
"version": "v2"
}
] | 2024-03-20 | [
[
"Mumuni",
"Alhassan",
""
],
[
"Mumuni",
"Fuseini",
""
]
] | Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly from data. This approach has achieved impressive results and has contributed significantly to the progress of AI, particularly in the sphere of supervised deep learning. It has also simplified the design of machine learning sy... |
2308.07970 | Hanieh Rafiee | Hanieh Rafiee, Mojtaba Mahdavi, AhmadReza NaghshNilchi | Introducing a New Evaluation Criteria for EMD-Base Steganography Method | null | null | null | null | cs.CR cs.MM | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Steganography is a technique to hide the presence of secret communication.
When one of the communication elements is under the influence of the enemy, it
can be used. The main measure to evaluate steganography methods in a certain
capacity is security. Therefore, in a certain capacity, reducing the amount of
changes ... | [
{
"created": "Tue, 15 Aug 2023 18:17:16 GMT",
"version": "v1"
}
] | 2023-08-17 | [
[
"Rafiee",
"Hanieh",
""
],
[
"Mahdavi",
"Mojtaba",
""
],
[
"NaghshNilchi",
"AhmadReza",
""
]
] | Steganography is a technique to hide the presence of secret communication. When one of the communication elements is under the influence of the enemy, it can be used. The main measure to evaluate steganography methods in a certain capacity is security. Therefore, in a certain capacity, reducing the amount of changes in... |
1902.06006 | Noah Smith | Noah A. Smith | Contextual Word Representations: A Contextual Introduction | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This introduction aims to tell the story of how we put words into computers.
It is part of the story of the field of natural language processing (NLP), a
branch of artificial intelligence. It targets a wide audience with a basic
understanding of computer programming, but avoids a detailed mathematical
treatment, and ... | [
{
"created": "Fri, 15 Feb 2019 23:28:36 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Feb 2019 05:25:19 GMT",
"version": "v2"
},
{
"created": "Fri, 17 Apr 2020 17:16:08 GMT",
"version": "v3"
}
] | 2020-04-20 | [
[
"Smith",
"Noah A.",
""
]
] | This introduction aims to tell the story of how we put words into computers. It is part of the story of the field of natural language processing (NLP), a branch of artificial intelligence. It targets a wide audience with a basic understanding of computer programming, but avoids a detailed mathematical treatment, and it... |
1907.04931 | Hanqing Zeng | Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan,
Viktor Prasanna | GraphSAINT: Graph Sampling Based Inductive Learning Method | Published at ICLR 2020; Code release:
github.com/GraphSAINT/GraphSAINT | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Convolutional Networks (GCNs) are powerful models for learning
representations of attributed graphs. To scale GCNs to large graphs,
state-of-the-art methods use various layer sampling techniques to alleviate the
"neighbor explosion" problem during minibatch training. We propose GraphSAINT,
a graph sampling base... | [
{
"created": "Wed, 10 Jul 2019 21:11:13 GMT",
"version": "v1"
},
{
"created": "Sun, 29 Sep 2019 08:36:31 GMT",
"version": "v2"
},
{
"created": "Fri, 27 Dec 2019 23:58:33 GMT",
"version": "v3"
},
{
"created": "Sun, 16 Feb 2020 00:42:48 GMT",
"version": "v4"
}
] | 2020-02-18 | [
[
"Zeng",
"Hanqing",
""
],
[
"Zhou",
"Hongkuan",
""
],
[
"Srivastava",
"Ajitesh",
""
],
[
"Kannan",
"Rajgopal",
""
],
[
"Prasanna",
"Viktor",
""
]
] | Graph Convolutional Networks (GCNs) are powerful models for learning representations of attributed graphs. To scale GCNs to large graphs, state-of-the-art methods use various layer sampling techniques to alleviate the "neighbor explosion" problem during minibatch training. We propose GraphSAINT, a graph sampling based ... |
1708.05891 | Mohamed Eldesouki | Mohamed Eldesouki, Younes Samih, Ahmed Abdelali, Mohammed Attia, Hamdy
Mubarak, Kareem Darwish, Kallmeyer Laura | Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Arabic word segmentation is essential for a variety of NLP applications such
as machine translation and information retrieval. Segmentation entails breaking
words into their constituent stems, affixes and clitics. In this paper, we
compare two approaches for segmenting four major Arabic dialects using only
several th... | [
{
"created": "Sat, 19 Aug 2017 19:52:36 GMT",
"version": "v1"
}
] | 2017-08-22 | [
[
"Eldesouki",
"Mohamed",
""
],
[
"Samih",
"Younes",
""
],
[
"Abdelali",
"Ahmed",
""
],
[
"Attia",
"Mohammed",
""
],
[
"Mubarak",
"Hamdy",
""
],
[
"Darwish",
"Kareem",
""
],
[
"Laura",
"Kallmeyer",
""
]
] | Arabic word segmentation is essential for a variety of NLP applications such as machine translation and information retrieval. Segmentation entails breaking words into their constituent stems, affixes and clitics. In this paper, we compare two approaches for segmenting four major Arabic dialects using only several thou... |
2306.15247 | Wei-Kun Chen | Wei-Kun Chen, Zheyu Wu, Rui-Jin Zhang, Ya-Feng Liu, Yu-Hong Dai,
Zhi-Quan Luo | Towards Efficient Optimal Large-Scale Network Slicing: A Decomposition
Approach | 13 pages, 11 figures, submitted for possible publication; for the
conference version, see arXiv:2306.15247v1 | null | null | null | cs.IT eess.SP math.IT math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers the network slicing (NS) problem which attempts to map
multiple customized virtual network requests to a common shared network
infrastructure and allocate network resources to meet diverse service
requirements. This paper proposes an efficient decomposition algorithm for
globally solving the larg... | [
{
"created": "Tue, 27 Jun 2023 07:00:02 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Dec 2023 03:41:52 GMT",
"version": "v2"
}
] | 2023-12-18 | [
[
"Chen",
"Wei-Kun",
""
],
[
"Wu",
"Zheyu",
""
],
[
"Zhang",
"Rui-Jin",
""
],
[
"Liu",
"Ya-Feng",
""
],
[
"Dai",
"Yu-Hong",
""
],
[
"Luo",
"Zhi-Quan",
""
]
] | This paper considers the network slicing (NS) problem which attempts to map multiple customized virtual network requests to a common shared network infrastructure and allocate network resources to meet diverse service requirements. This paper proposes an efficient decomposition algorithm for globally solving the large-... |
2207.09622 | Yun-Bin Zhao Y | Yun-Bin Zhao and Zhi-Quan Luo | Natural Thresholding Algorithms for Signal Recovery with Sparsity | null | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | The algorithms based on the technique of optimal $k$-thresholding (OT) were
recently proposed for signal recovery, and they are very different from the
traditional family of hard thresholding methods. However, the computational
cost for OT-based algorithms remains high at the current stage of their
development. This ... | [
{
"created": "Wed, 20 Jul 2022 02:44:12 GMT",
"version": "v1"
}
] | 2022-07-21 | [
[
"Zhao",
"Yun-Bin",
""
],
[
"Luo",
"Zhi-Quan",
""
]
] | The algorithms based on the technique of optimal $k$-thresholding (OT) were recently proposed for signal recovery, and they are very different from the traditional family of hard thresholding methods. However, the computational cost for OT-based algorithms remains high at the current stage of their development. This st... |
1904.09529 | Kevin Karsch | Mark A. Livingston, Zhuming Ai, Kevin Karsch, Gregory O. Gibson | User interface design for military AR applications | null | null | 10.1007/s10055-010-0179-1 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Designing a user interface for military situation awareness presents
challenges for managing information in a useful and usable manner. We present
an integrated set of functions for the presentation of and interaction with
information for a mobile augmented reality application for military
applications. Our research ... | [
{
"created": "Sun, 21 Apr 2019 02:10:15 GMT",
"version": "v1"
}
] | 2019-04-23 | [
[
"Livingston",
"Mark A.",
""
],
[
"Ai",
"Zhuming",
""
],
[
"Karsch",
"Kevin",
""
],
[
"Gibson",
"Gregory O.",
""
]
] | Designing a user interface for military situation awareness presents challenges for managing information in a useful and usable manner. We present an integrated set of functions for the presentation of and interaction with information for a mobile augmented reality application for military applications. Our research ha... |
2305.14204 | Andrea Sipos | Andrea Sipos and Nima Fazeli | MultiSCOPE: Disambiguating In-Hand Object Poses with Proprioception and
Tactile Feedback | Accepted to RSS 2023 | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | In this paper, we propose a method for estimating in-hand object poses using
proprioception and tactile feedback from a bimanual robotic system. Our method
addresses the problem of reducing pose uncertainty through a sequence of
frictional contact interactions between the grasped objects. As part of our
method, we pr... | [
{
"created": "Tue, 23 May 2023 16:24:17 GMT",
"version": "v1"
}
] | 2023-05-24 | [
[
"Sipos",
"Andrea",
""
],
[
"Fazeli",
"Nima",
""
]
] | In this paper, we propose a method for estimating in-hand object poses using proprioception and tactile feedback from a bimanual robotic system. Our method addresses the problem of reducing pose uncertainty through a sequence of frictional contact interactions between the grasped objects. As part of our method, we prop... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.