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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2102.11517 | Taehyung Kwon | Taehyung Kwon, Inkyu Park, Dongjin Lee, and Kijung Shin | SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams | Updated Figures 4, 5, 6, 7, and 8 after fixing a bug in preprocessing
the Divvy dataset. To appear at the 37th IEEE International Conference on
Data Engineering (ICDE '21) | null | null | null | cs.LG cs.DB cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Consider traffic data (i.e., triplets in the form of
source-destination-timestamp) that grow over time. Tensors (i.e.,
multi-dimensional arrays) with a time mode are widely used for modeling and
analyzing such multi-aspect data streams. In such tensors, however, new entries
are added only once per period, which is of... | [
{
"created": "Tue, 23 Feb 2021 06:28:42 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Mar 2021 06:46:44 GMT",
"version": "v2"
}
] | 2021-03-03 | [
[
"Kwon",
"Taehyung",
""
],
[
"Park",
"Inkyu",
""
],
[
"Lee",
"Dongjin",
""
],
[
"Shin",
"Kijung",
""
]
] | Consider traffic data (i.e., triplets in the form of source-destination-timestamp) that grow over time. Tensors (i.e., multi-dimensional arrays) with a time mode are widely used for modeling and analyzing such multi-aspect data streams. In such tensors, however, new entries are added only once per period, which is ofte... |
1706.08877 | Davide Zordan | Davide Zordan, Michele Rossi, Michele Zorzi | Rate-Distortion Classification for Self-Tuning IoT Networks | null | null | null | null | cs.NI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many future wireless sensor networks and the Internet of Things are expected
to follow a software defined paradigm, where protocol parameters and behaviors
will be dynamically tuned as a function of the signal statistics. New protocols
will be then injected as a software as certain events occur. For instance, new
dat... | [
{
"created": "Tue, 27 Jun 2017 14:20:08 GMT",
"version": "v1"
}
] | 2017-06-28 | [
[
"Zordan",
"Davide",
""
],
[
"Rossi",
"Michele",
""
],
[
"Zorzi",
"Michele",
""
]
] | Many future wireless sensor networks and the Internet of Things are expected to follow a software defined paradigm, where protocol parameters and behaviors will be dynamically tuned as a function of the signal statistics. New protocols will be then injected as a software as certain events occur. For instance, new data ... |
2111.04670 | Xingchen Wan | Xingchen Wan, Binxin Ru, Pedro M. Esperan\c{c}a, Fabio M. Carlucci | Approximate Neural Architecture Search via Operation Distribution
Learning | WACV 2022. 10 pages, 3 figures and 5 tables (15 pages, 7 figures and
6 tables including appendices) | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The standard paradigm in Neural Architecture Search (NAS) is to search for a
fully deterministic architecture with specific operations and connections. In
this work, we instead propose to search for the optimal operation distribution,
thus providing a stochastic and approximate solution, which can be used to
sample a... | [
{
"created": "Mon, 8 Nov 2021 17:38:29 GMT",
"version": "v1"
}
] | 2021-11-09 | [
[
"Wan",
"Xingchen",
""
],
[
"Ru",
"Binxin",
""
],
[
"Esperança",
"Pedro M.",
""
],
[
"Carlucci",
"Fabio M.",
""
]
] | The standard paradigm in Neural Architecture Search (NAS) is to search for a fully deterministic architecture with specific operations and connections. In this work, we instead propose to search for the optimal operation distribution, thus providing a stochastic and approximate solution, which can be used to sample arc... |
2310.14885 | Aneet Kumar Dutta Aneet | Aneet Kumar Dutta, Sebastian Brandt, Mridula Singh | Location Estimation and Recovery using 5G Positioning: Thwarting GNSS
Spoofing Attacks | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | The availability of cheap GNSS spoofers can prevent safe navigation and
tracking of road users. It can lead to loss of assets, inaccurate fare
estimation, enforcing the wrong speed limit, miscalculated toll tax, passengers
reaching an incorrect location, etc. The techniques designed to prevent and
detect spoofing by ... | [
{
"created": "Mon, 23 Oct 2023 12:54:13 GMT",
"version": "v1"
}
] | 2023-10-24 | [
[
"Dutta",
"Aneet Kumar",
""
],
[
"Brandt",
"Sebastian",
""
],
[
"Singh",
"Mridula",
""
]
] | The availability of cheap GNSS spoofers can prevent safe navigation and tracking of road users. It can lead to loss of assets, inaccurate fare estimation, enforcing the wrong speed limit, miscalculated toll tax, passengers reaching an incorrect location, etc. The techniques designed to prevent and detect spoofing by us... |
0809.4989 | Youssef, Joseph Nasser | Youssef Nasser (IETR), Jean-Fran\c{c}ois H\'elard (IETR), Matthieu
Crussi\`ere (IETR) | Bit Error Rate Prediction of Coded MIMO-OFDM Systems | null | IEEE Symposium on Signal Processing Advances in Wireless
Communications, Recife : Br\'esil (2008) | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bit error rate (BER) prediction over channel realisations has emerged as an
active research area. In this paper, we give analytical signal to interference
and noise ratio (SINR) evaluation of MIMO-OFDM systems using an iterative
receiver. Using this analytical SINR expression, we propose an accurate BER
prediction me... | [
{
"created": "Mon, 29 Sep 2008 15:18:37 GMT",
"version": "v1"
}
] | 2008-09-30 | [
[
"Nasser",
"Youssef",
"",
"IETR"
],
[
"Hélard",
"Jean-François",
"",
"IETR"
],
[
"Crussière",
"Matthieu",
"",
"IETR"
]
] | Bit error rate (BER) prediction over channel realisations has emerged as an active research area. In this paper, we give analytical signal to interference and noise ratio (SINR) evaluation of MIMO-OFDM systems using an iterative receiver. Using this analytical SINR expression, we propose an accurate BER prediction meth... |
1506.00278 | Licheng Yu | Licheng Yu, Eunbyung Park, Alexander C. Berg, and Tamara L. Berg | Visual Madlibs: Fill in the blank Image Generation and Question
Answering | 10 pages; 8 figures; 4 tables | null | null | null | cs.CV cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we introduce a new dataset consisting of 360,001 focused
natural language descriptions for 10,738 images. This dataset, the Visual
Madlibs dataset, is collected using automatically produced fill-in-the-blank
templates designed to gather targeted descriptions about: people and objects,
their appearances... | [
{
"created": "Sun, 31 May 2015 19:39:44 GMT",
"version": "v1"
}
] | 2015-06-02 | [
[
"Yu",
"Licheng",
""
],
[
"Park",
"Eunbyung",
""
],
[
"Berg",
"Alexander C.",
""
],
[
"Berg",
"Tamara L.",
""
]
] | In this paper, we introduce a new dataset consisting of 360,001 focused natural language descriptions for 10,738 images. This dataset, the Visual Madlibs dataset, is collected using automatically produced fill-in-the-blank templates designed to gather targeted descriptions about: people and objects, their appearances, ... |
cs/0612074 | Zengjian Hu | Petra Berenbrink and Colin Cooper and Zengjian Hu | Energy Efficient Randomized Communication in Unknown AdHoc Networks | 15 pages. 1 figure | null | null | null | cs.DC cs.DS | null | This paper studies broadcasting and gossiping algorithms in random and
general AdHoc networks. Our goal is not only to minimise the broadcasting and
gossiping time, but also to minimise the energy consumption, which is measured
in terms of the total number of messages (or transmissions) sent. We assume
that the nodes... | [
{
"created": "Fri, 15 Dec 2006 03:43:39 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Berenbrink",
"Petra",
""
],
[
"Cooper",
"Colin",
""
],
[
"Hu",
"Zengjian",
""
]
] | This paper studies broadcasting and gossiping algorithms in random and general AdHoc networks. Our goal is not only to minimise the broadcasting and gossiping time, but also to minimise the energy consumption, which is measured in terms of the total number of messages (or transmissions) sent. We assume that the nodes o... |
1904.06432 | Ugo Rosolia | Ugo Rosolia and Francesco Borrelli | Sample-Based Learning Model Predictive Control for Linear Uncertain
Systems | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a sample-based Learning Model Predictive Controller (LMPC) for
constrained uncertain linear systems subject to bounded additive disturbances.
The proposed controller builds on earlier work on LMPC for deterministic
systems. First, we introduce the design of the safe set and value function used
to guarantee... | [
{
"created": "Fri, 12 Apr 2019 22:01:34 GMT",
"version": "v1"
},
{
"created": "Fri, 13 Sep 2019 02:39:07 GMT",
"version": "v2"
},
{
"created": "Wed, 9 Oct 2019 17:56:25 GMT",
"version": "v3"
},
{
"created": "Tue, 22 Oct 2019 05:46:19 GMT",
"version": "v4"
},
{
"cr... | 2021-01-22 | [
[
"Rosolia",
"Ugo",
""
],
[
"Borrelli",
"Francesco",
""
]
] | We present a sample-based Learning Model Predictive Controller (LMPC) for constrained uncertain linear systems subject to bounded additive disturbances. The proposed controller builds on earlier work on LMPC for deterministic systems. First, we introduce the design of the safe set and value function used to guarantee s... |
2408.07630 | Xu Feng | Hui Fang, Xu Feng, Lu Qin and Zhu Sun | Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for
Top-N Recommendation Task with Implicit Feedback | null | null | null | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The widespread use of the internet has led to an overwhelming amount of data,
which has resulted in the problem of information overload. Recommender systems
have emerged as a solution to this problem by providing personalized
recommendations to users based on their preferences and historical data.
However, as recomme... | [
{
"created": "Wed, 14 Aug 2024 15:56:27 GMT",
"version": "v1"
}
] | 2024-08-15 | [
[
"Fang",
"Hui",
""
],
[
"Feng",
"Xu",
""
],
[
"Qin",
"Lu",
""
],
[
"Sun",
"Zhu",
""
]
] | The widespread use of the internet has led to an overwhelming amount of data, which has resulted in the problem of information overload. Recommender systems have emerged as a solution to this problem by providing personalized recommendations to users based on their preferences and historical data. However, as recommend... |
1905.12065 | Richard Sproat | Richard Sproat, Jan van Santen | Automatic Ambiguity Detection | null | International Conference on Spoken Language Processing, 1998 | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Most work on sense disambiguation presumes that one knows beforehand -- e.g.
from a thesaurus -- a set of polysemous terms. But published lists invariably
give only partial coverage. For example, the English word tan has several
obvious senses, but one may overlook the abbreviation for tangent. In this
paper, we pres... | [
{
"created": "Tue, 28 May 2019 20:11:47 GMT",
"version": "v1"
}
] | 2019-05-30 | [
[
"Sproat",
"Richard",
""
],
[
"van Santen",
"Jan",
""
]
] | Most work on sense disambiguation presumes that one knows beforehand -- e.g. from a thesaurus -- a set of polysemous terms. But published lists invariably give only partial coverage. For example, the English word tan has several obvious senses, but one may overlook the abbreviation for tangent. In this paper, we presen... |
2304.01947 | Juho Veps\"al\"ainen | Juho Veps\"al\"ainen, Arto Hellas, Petri Vuorimaa | The Rise of Disappearing Frameworks in Web Development | 9 pages, 1 figure, ICWE 2023 | ICWE 2023. Lecture Notes in Computer Science, vol 13893. Springer,
Cham | 10.1007/978-3-031-34444-2_23 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The evolution of the web can be characterized as an emergence of frameworks
paving the way from static websites to dynamic web applications. As the scope
of web applications has grown, new technical challenges have emerged, leading
to the need for new solutions. The latest of these developments is the rise of
so-call... | [
{
"created": "Mon, 3 Apr 2023 09:00:25 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Jun 2023 16:09:04 GMT",
"version": "v2"
}
] | 2023-06-16 | [
[
"Vepsäläinen",
"Juho",
""
],
[
"Hellas",
"Arto",
""
],
[
"Vuorimaa",
"Petri",
""
]
] | The evolution of the web can be characterized as an emergence of frameworks paving the way from static websites to dynamic web applications. As the scope of web applications has grown, new technical challenges have emerged, leading to the need for new solutions. The latest of these developments is the rise of so-called... |
2402.17109 | Kiran Tomlinson | Kiran Tomlinson, Tanvi Namjoshi, Johan Ugander, Jon Kleinberg | Replicating Electoral Success | 48 pages | null | null | null | cs.GT cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A core tension in the study of plurality elections is the clash between the
classic Hotelling-Downs model, which predicts that two office-seeking
candidates should position themselves at the median voter's policy, and the
empirical observation that real-world democracies often have two major parties
with divergent po... | [
{
"created": "Tue, 27 Feb 2024 01:04:07 GMT",
"version": "v1"
}
] | 2024-02-28 | [
[
"Tomlinson",
"Kiran",
""
],
[
"Namjoshi",
"Tanvi",
""
],
[
"Ugander",
"Johan",
""
],
[
"Kleinberg",
"Jon",
""
]
] | A core tension in the study of plurality elections is the clash between the classic Hotelling-Downs model, which predicts that two office-seeking candidates should position themselves at the median voter's policy, and the empirical observation that real-world democracies often have two major parties with divergent poli... |
1403.5089 | Ranga Prasad | Ranga Prasad, Srikrishna Bhashyam, and A. Chockalingam | On the Gaussian Many-to-One X Channel | Submitted to IEEE Transactions on Information Theory; Revised and
updated version of the original draft | null | 10.1109/TIT.2015.2499746 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, the Gaussian many-to-one X channel, which is a special case of
general multiuser X channel, is studied. In the Gaussian many-to-one X channel,
communication links exist between all transmitters and one of the receivers,
along with a communication link between each transmitter and its corresponding
rece... | [
{
"created": "Thu, 20 Mar 2014 10:31:29 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Jun 2015 17:18:17 GMT",
"version": "v2"
}
] | 2016-11-17 | [
[
"Prasad",
"Ranga",
""
],
[
"Bhashyam",
"Srikrishna",
""
],
[
"Chockalingam",
"A.",
""
]
] | In this paper, the Gaussian many-to-one X channel, which is a special case of general multiuser X channel, is studied. In the Gaussian many-to-one X channel, communication links exist between all transmitters and one of the receivers, along with a communication link between each transmitter and its corresponding receiv... |
2006.00364 | Farhad Merchant | Niraj Sharma, Riya Jain, Madhumita Mohan, Sachin Patkar, Rainer
Leupers, Nikhil Rishiyur, Farhad Merchant | CLARINET: A RISC-V Based Framework for Posit Arithmetic Empiricism | null | null | null | null | cs.AR | http://creativecommons.org/licenses/by/4.0/ | Many engineering and scientific applications require high precision
arithmetic. IEEE~754-2008 compliant (floating-point) arithmetic is the de facto
standard for performing these computations. Recently, posit arithmetic has been
proposed as a drop-in replacement for floating-point arithmetic. The
posit\texttrademark d... | [
{
"created": "Sat, 30 May 2020 20:59:35 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Jun 2020 08:12:21 GMT",
"version": "v2"
},
{
"created": "Fri, 19 Jun 2020 07:04:04 GMT",
"version": "v3"
},
{
"created": "Wed, 27 Oct 2021 08:14:24 GMT",
"version": "v4"
}
] | 2021-10-28 | [
[
"Sharma",
"Niraj",
""
],
[
"Jain",
"Riya",
""
],
[
"Mohan",
"Madhumita",
""
],
[
"Patkar",
"Sachin",
""
],
[
"Leupers",
"Rainer",
""
],
[
"Rishiyur",
"Nikhil",
""
],
[
"Merchant",
"Farhad",
""
]
] | Many engineering and scientific applications require high precision arithmetic. IEEE~754-2008 compliant (floating-point) arithmetic is the de facto standard for performing these computations. Recently, posit arithmetic has been proposed as a drop-in replacement for floating-point arithmetic. The posit\texttrademark dat... |
1706.07851 | Kyle Kloster | Kyle Kloster, Philipp Kuinke, Michael P. O'Brien, Felix Reidl,
Fernando S\'anchez Villaamil, Blair D. Sullivan, and Andrew van der Poel | A practical fpt algorithm for Flow Decomposition and transcript assembly | Introduces software package Toboggan: Version 1.0.
http://dx.doi.org/10.5281/zenodo.821634 | null | null | null | cs.DS q-bio.GN | http://creativecommons.org/licenses/by/4.0/ | The Flow Decomposition problem, which asks for the smallest set of weighted
paths that "covers" a flow on a DAG, has recently been used as an important
computational step in transcript assembly. We prove the problem is in FPT when
parameterized by the number of paths by giving a practical linear fpt
algorithm. Furthe... | [
{
"created": "Fri, 23 Jun 2017 19:48:03 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Jun 2017 15:35:07 GMT",
"version": "v2"
},
{
"created": "Wed, 30 Aug 2017 16:06:16 GMT",
"version": "v3"
}
] | 2017-08-31 | [
[
"Kloster",
"Kyle",
""
],
[
"Kuinke",
"Philipp",
""
],
[
"O'Brien",
"Michael P.",
""
],
[
"Reidl",
"Felix",
""
],
[
"Villaamil",
"Fernando Sánchez",
""
],
[
"Sullivan",
"Blair D.",
""
],
[
"van der Poel",
"Andre... | The Flow Decomposition problem, which asks for the smallest set of weighted paths that "covers" a flow on a DAG, has recently been used as an important computational step in transcript assembly. We prove the problem is in FPT when parameterized by the number of paths by giving a practical linear fpt algorithm. Further,... |
2310.14009 | Yiqin Tan | Yiqin Tan, Ling Pan, Longbo Huang | One is More: Diverse Perspectives within a Single Network for Efficient
DRL | Preprint | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep reinforcement learning has achieved remarkable performance in various
domains by leveraging deep neural networks for approximating value functions
and policies. However, using neural networks to approximate value functions or
policy functions still faces challenges, including low sample efficiency and
overfittin... | [
{
"created": "Sat, 21 Oct 2023 13:37:13 GMT",
"version": "v1"
},
{
"created": "Sun, 29 Oct 2023 02:46:30 GMT",
"version": "v2"
}
] | 2023-10-31 | [
[
"Tan",
"Yiqin",
""
],
[
"Pan",
"Ling",
""
],
[
"Huang",
"Longbo",
""
]
] | Deep reinforcement learning has achieved remarkable performance in various domains by leveraging deep neural networks for approximating value functions and policies. However, using neural networks to approximate value functions or policy functions still faces challenges, including low sample efficiency and overfitting.... |
1906.02774 | Themistoklis Melissourgos | Eleni C. Akrida, Argyrios Deligkas, Themistoklis Melissourgos, Paul G.
Spirakis | Connected Subgraph Defense Games | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study a security game over a network played between a $defender$ and $k$
$attackers$. Every attacker chooses, probabilistically, a node of the network
to damage. The defender chooses, probabilistically as well, a connected induced
subgraph of the network of $\lambda$ nodes to scan and clean.Each attacker
wishes to... | [
{
"created": "Thu, 6 Jun 2019 18:51:44 GMT",
"version": "v1"
}
] | 2019-06-10 | [
[
"Akrida",
"Eleni C.",
""
],
[
"Deligkas",
"Argyrios",
""
],
[
"Melissourgos",
"Themistoklis",
""
],
[
"Spirakis",
"Paul G.",
""
]
] | We study a security game over a network played between a $defender$ and $k$ $attackers$. Every attacker chooses, probabilistically, a node of the network to damage. The defender chooses, probabilistically as well, a connected induced subgraph of the network of $\lambda$ nodes to scan and clean.Each attacker wishes to m... |
1601.06652 | Nicki Holighaus | Thibaud Necciari, Nicki Holighaus, Peter Balazs and Zdenek Prusa | A Perceptually Motivated Filter Bank with Perfect Reconstruction for
Audio Signal Processing | null | null | null | null | cs.SD | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many audio applications rely on filter banks (FBs) to analyze, process, and
re-synthesize sounds. To approximate the auditory frequency resolution in the
signal chain, some applications rely on perceptually motivated FBs, the
gammatone FB being a popular example. However, most perceptually motivated FBs
only allow pa... | [
{
"created": "Mon, 25 Jan 2016 16:13:37 GMT",
"version": "v1"
}
] | 2016-01-26 | [
[
"Necciari",
"Thibaud",
""
],
[
"Holighaus",
"Nicki",
""
],
[
"Balazs",
"Peter",
""
],
[
"Prusa",
"Zdenek",
""
]
] | Many audio applications rely on filter banks (FBs) to analyze, process, and re-synthesize sounds. To approximate the auditory frequency resolution in the signal chain, some applications rely on perceptually motivated FBs, the gammatone FB being a popular example. However, most perceptually motivated FBs only allow part... |
2302.01235 | Suthee Ruangwises | Suthee Ruangwises, Mitsugu Iwamoto | Printing Protocol: Physical ZKPs for Decomposition Puzzles | A preliminary version of this paper has appeared at LATINCRYPT 2023 | null | 10.1007/978-3-031-44469-2_16 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Decomposition puzzles are pencil-and-paper logic puzzles that involve
partitioning a rectangular grid into several regions to satisfy certain rules.
In this paper, we construct a generic card-based protocol called printing
protocol, which can be used to physically verify solutions of decompositon
puzzles. We apply th... | [
{
"created": "Thu, 2 Feb 2023 17:16:32 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Feb 2023 17:10:03 GMT",
"version": "v2"
},
{
"created": "Sun, 16 Jul 2023 18:01:47 GMT",
"version": "v3"
},
{
"created": "Sun, 6 Aug 2023 18:58:40 GMT",
"version": "v4"
},
{
"cre... | 2023-12-01 | [
[
"Ruangwises",
"Suthee",
""
],
[
"Iwamoto",
"Mitsugu",
""
]
] | Decomposition puzzles are pencil-and-paper logic puzzles that involve partitioning a rectangular grid into several regions to satisfy certain rules. In this paper, we construct a generic card-based protocol called printing protocol, which can be used to physically verify solutions of decompositon puzzles. We apply the ... |
2205.08207 | Baosheng Zhang | Baosheng Zhang, Xiaoguang Ma, Hongjun Ma and Chunbo Luo | DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes | null | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most feature-based stereo visual odometry (SVO) approaches estimate the
motion of mobile robots by matching and tracking point features along a
sequence of stereo images. However, in dynamic scenes mainly comprising moving
pedestrians, vehicles, etc., there are insufficient robust static point
features to enable accu... | [
{
"created": "Tue, 17 May 2022 10:08:03 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Sep 2022 14:51:21 GMT",
"version": "v2"
},
{
"created": "Sat, 24 Jun 2023 08:47:01 GMT",
"version": "v3"
}
] | 2023-06-27 | [
[
"Zhang",
"Baosheng",
""
],
[
"Ma",
"Xiaoguang",
""
],
[
"Ma",
"Hongjun",
""
],
[
"Luo",
"Chunbo",
""
]
] | Most feature-based stereo visual odometry (SVO) approaches estimate the motion of mobile robots by matching and tracking point features along a sequence of stereo images. However, in dynamic scenes mainly comprising moving pedestrians, vehicles, etc., there are insufficient robust static point features to enable accura... |
2307.13186 | Henry Muccini | Henry Muccini and Barbara Russo and Eugenio Zimeo | The BET project: Behavior-enabled IoT | 2 pages | null | null | null | cs.SE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | IoT is changing the way Internet is used due to the availability of a large
amount of data timely collected from every-day life objects. Designing
applications in this new scenario poses new challenges. This extended abstract
discusses them and presents the objective of the BeT project whose main aim is
to introduce ... | [
{
"created": "Tue, 25 Jul 2023 00:42:34 GMT",
"version": "v1"
}
] | 2023-07-26 | [
[
"Muccini",
"Henry",
""
],
[
"Russo",
"Barbara",
""
],
[
"Zimeo",
"Eugenio",
""
]
] | IoT is changing the way Internet is used due to the availability of a large amount of data timely collected from every-day life objects. Designing applications in this new scenario poses new challenges. This extended abstract discusses them and presents the objective of the BeT project whose main aim is to introduce a ... |
2004.06933 | Hussain Almohri | Mohammad Qasem, Hussain M. J. Almohri | An efficient deception architecture for cloud-based virtual networks | null | Kuwait Journal of Science, 46(3) (2019) | null | null | cs.CR cs.SE | http://creativecommons.org/publicdomain/zero/1.0/ | Emerging deceptive systems present a new promise for the uprising security
problems in cloud-based virtual networks, especially those operated by small
and medium enterprises. The main goal of deceptive systems is to form a layer
of defensive nodes in an Internet-accessible cloud-based virtual network to
distract and... | [
{
"created": "Wed, 15 Apr 2020 08:15:17 GMT",
"version": "v1"
}
] | 2020-04-16 | [
[
"Qasem",
"Mohammad",
""
],
[
"Almohri",
"Hussain M. J.",
""
]
] | Emerging deceptive systems present a new promise for the uprising security problems in cloud-based virtual networks, especially those operated by small and medium enterprises. The main goal of deceptive systems is to form a layer of defensive nodes in an Internet-accessible cloud-based virtual network to distract and d... |
1506.06399 | Swagato Sanyal | Sagnik Mukhopadhyay, Swagato Sanyal | Towards Better Separation between Deterministic and Randomized Query
Complexity | Reference added | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show that there exists a Boolean function $F$ which observes the following
separations among deterministic query complexity $(D(F))$, randomized zero
error query complexity $(R_0(F))$ and randomized one-sided error query
complexity $(R_1(F))$: $R_1(F) = \widetilde{O}(\sqrt{D(F)})$ and
$R_0(F)=\widetilde{O}(D(F))^{... | [
{
"created": "Sun, 21 Jun 2015 18:36:24 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Jun 2015 17:36:47 GMT",
"version": "v2"
}
] | 2015-06-25 | [
[
"Mukhopadhyay",
"Sagnik",
""
],
[
"Sanyal",
"Swagato",
""
]
] | We show that there exists a Boolean function $F$ which observes the following separations among deterministic query complexity $(D(F))$, randomized zero error query complexity $(R_0(F))$ and randomized one-sided error query complexity $(R_1(F))$: $R_1(F) = \widetilde{O}(\sqrt{D(F)})$ and $R_0(F)=\widetilde{O}(D(F))^{3/... |
2207.02502 | Kevin De Porre | Kevin De Porre, Carla Ferreira, Elisa Gonzalez Boix | VeriFx: Correct Replicated Data Types for the Masses | 35 pages, 13 figures | null | null | null | cs.PL cs.DC | http://creativecommons.org/licenses/by-sa/4.0/ | Distributed systems adopt weak consistency to ensure high availability and
low latency, but state convergence is hard to guarantee due to conflicts.
Experts carefully design replicated data types (RDTs) that resemble sequential
data types and embed conflict resolution mechanisms that ensure convergence.
Designing RDT... | [
{
"created": "Wed, 6 Jul 2022 08:11:12 GMT",
"version": "v1"
}
] | 2022-07-07 | [
[
"De Porre",
"Kevin",
""
],
[
"Ferreira",
"Carla",
""
],
[
"Boix",
"Elisa Gonzalez",
""
]
] | Distributed systems adopt weak consistency to ensure high availability and low latency, but state convergence is hard to guarantee due to conflicts. Experts carefully design replicated data types (RDTs) that resemble sequential data types and embed conflict resolution mechanisms that ensure convergence. Designing RDTs ... |
2003.07564 | Hao Yang | Hao Yang, Dan Yan, Li Zhang, Dong Li, YunDa Sun, ShaoDi You, Stephen
J. Maybank | Feedback Graph Convolutional Network for Skeleton-based Action
Recognition | 18 pages, 5 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Skeleton-based action recognition has attracted considerable attention in
computer vision since skeleton data is more robust to the dynamic circumstance
and complicated background than other modalities. Recently, many researchers
have used the Graph Convolutional Network (GCN) to model spatial-temporal
features of sk... | [
{
"created": "Tue, 17 Mar 2020 07:20:47 GMT",
"version": "v1"
}
] | 2020-03-18 | [
[
"Yang",
"Hao",
""
],
[
"Yan",
"Dan",
""
],
[
"Zhang",
"Li",
""
],
[
"Li",
"Dong",
""
],
[
"Sun",
"YunDa",
""
],
[
"You",
"ShaoDi",
""
],
[
"Maybank",
"Stephen J.",
""
]
] | Skeleton-based action recognition has attracted considerable attention in computer vision since skeleton data is more robust to the dynamic circumstance and complicated background than other modalities. Recently, many researchers have used the Graph Convolutional Network (GCN) to model spatial-temporal features of skel... |
1906.01415 | Satoshi Tsutsui | Satoshi Tsutsui, Dian Zhi, Md Alimoor Reza, David Crandall, Chen Yu | Active Object Manipulation Facilitates Visual Object Learning: An
Egocentric Vision Study | Accepted at 2019 CVPR Workshop on Egocentric Perception, Interaction
and Computing (EPIC) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inspired by the remarkable ability of the infant visual learning system, a
recent study collected first-person images from children to analyze the
`training data' that they receive. We conduct a follow-up study that
investigates two additional directions. First, given that infants can quickly
learn to recognize a new... | [
{
"created": "Tue, 4 Jun 2019 13:32:28 GMT",
"version": "v1"
}
] | 2019-06-05 | [
[
"Tsutsui",
"Satoshi",
""
],
[
"Zhi",
"Dian",
""
],
[
"Reza",
"Md Alimoor",
""
],
[
"Crandall",
"David",
""
],
[
"Yu",
"Chen",
""
]
] | Inspired by the remarkable ability of the infant visual learning system, a recent study collected first-person images from children to analyze the `training data' that they receive. We conduct a follow-up study that investigates two additional directions. First, given that infants can quickly learn to recognize a new o... |
1408.5751 | Carsten Kolassa | Arne Haber, Carsten Kolassa, Peter Manhart, Pedram Mir Seyed Nazari,
Bernhard Rumpe, Ina Schaefer | First-Class Variability Modeling in Matlab/Simulink | 8 pages, 8 figures. Workshop on Variability Modelling of
Software-intensive Systems. VaMoS 2013 in Pisa, Italy | Proceedings of the Seventh International Workshop on Variability
Modelling of Software-intensive Systems, 23.-25.1.2013, pp. 11-18, ACM, New
York, NY, USA. 2013 | 10.1145/2430502.2430508 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern cars exist in an vast number of variants. Thus, variability has to be
dealt with in all phases of the development process, in particular during
model-based development of software-intensive functionality using
Matlab/Simulink. Currently, variability is often encoded within a functional
model leading to so call... | [
{
"created": "Mon, 25 Aug 2014 13:27:33 GMT",
"version": "v1"
}
] | 2014-08-26 | [
[
"Haber",
"Arne",
""
],
[
"Kolassa",
"Carsten",
""
],
[
"Manhart",
"Peter",
""
],
[
"Nazari",
"Pedram Mir Seyed",
""
],
[
"Rumpe",
"Bernhard",
""
],
[
"Schaefer",
"Ina",
""
]
] | Modern cars exist in an vast number of variants. Thus, variability has to be dealt with in all phases of the development process, in particular during model-based development of software-intensive functionality using Matlab/Simulink. Currently, variability is often encoded within a functional model leading to so called... |
0808.0540 | Paul Tarau | Paul Tarau | Executable Set Theory and Arithmetic Encodings in Prolog | Unpublished draft | null | null | null | cs.LO cs.DM cs.DS cs.MS cs.SC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper is organized as a self-contained literate Prolog program that
implements elements of an executable finite set theory with focus on
combinatorial generation and arithmetic encodings. The complete Prolog code is
available at http://logic.csci.unt.edu/tarau/research/2008/pHFS.zip . First,
ranking and unranking... | [
{
"created": "Tue, 5 Aug 2008 04:59:56 GMT",
"version": "v1"
}
] | 2009-09-29 | [
[
"Tarau",
"Paul",
""
]
] | The paper is organized as a self-contained literate Prolog program that implements elements of an executable finite set theory with focus on combinatorial generation and arithmetic encodings. The complete Prolog code is available at http://logic.csci.unt.edu/tarau/research/2008/pHFS.zip . First, ranking and unranking f... |
2206.10029 | Chengwei Wei | Chengwei Wei, Bin Wang, C.-C. Jay Kuo | SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity
Evaluation | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Word Mover's Distance (WMD) computes the distance between words and models
text similarity with the moving cost between words in two text sequences. Yet,
it does not offer good performance in sentence similarity evaluation since it
does not incorporate word importance and fails to take inherent contextual and
structu... | [
{
"created": "Mon, 20 Jun 2022 22:30:07 GMT",
"version": "v1"
}
] | 2022-06-22 | [
[
"Wei",
"Chengwei",
""
],
[
"Wang",
"Bin",
""
],
[
"Kuo",
"C. -C. Jay",
""
]
] | Word Mover's Distance (WMD) computes the distance between words and models text similarity with the moving cost between words in two text sequences. Yet, it does not offer good performance in sentence similarity evaluation since it does not incorporate word importance and fails to take inherent contextual and structura... |
1401.7426 | Ahmed Alkhateeb | Ahmed Alkhateeb, Omar El Ayach, Geert Leus, and Robert W. Heath Jr | Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular
Systems | 36 pages, 10 figures, submitted to IEEE Journal of Selected Topics in
Signal Processing | null | 10.1109/JSTSP.2014.2334278 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data
rates thanks to the large bandwidth available at mmWave frequencies. To realize
sufficient link margin, mmWave systems will employ directional beamforming with
large antenna arrays at both the transmitter and receiver. Due to the high cost
... | [
{
"created": "Wed, 29 Jan 2014 08:00:50 GMT",
"version": "v1"
}
] | 2015-06-18 | [
[
"Alkhateeb",
"Ahmed",
""
],
[
"Ayach",
"Omar El",
""
],
[
"Leus",
"Geert",
""
],
[
"Heath",
"Robert W.",
"Jr"
]
] | Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data rates thanks to the large bandwidth available at mmWave frequencies. To realize sufficient link margin, mmWave systems will employ directional beamforming with large antenna arrays at both the transmitter and receiver. Due to the high cost an... |
2305.19185 | Zongyu Guo | Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, Jos\'e Miguel
Hern\'andez-Lobato | Compression with Bayesian Implicit Neural Representations | Accepted as a Spotlight paper in NeurIPS 2023. Updated camera-ready
version | null | null | null | cs.LG cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many common types of data can be represented as functions that map
coordinates to signal values, such as pixel locations to RGB values in the case
of an image. Based on this view, data can be compressed by overfitting a
compact neural network to its functional representation and then encoding the
network weights. How... | [
{
"created": "Tue, 30 May 2023 16:29:52 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Jun 2023 10:59:02 GMT",
"version": "v2"
},
{
"created": "Mon, 26 Jun 2023 09:46:05 GMT",
"version": "v3"
},
{
"created": "Wed, 18 Oct 2023 06:00:28 GMT",
"version": "v4"
},
{
"c... | 2023-10-31 | [
[
"Guo",
"Zongyu",
""
],
[
"Flamich",
"Gergely",
""
],
[
"He",
"Jiajun",
""
],
[
"Chen",
"Zhibo",
""
],
[
"Hernández-Lobato",
"José Miguel",
""
]
] | Many common types of data can be represented as functions that map coordinates to signal values, such as pixel locations to RGB values in the case of an image. Based on this view, data can be compressed by overfitting a compact neural network to its functional representation and then encoding the network weights. Howev... |
2308.14687 | Daniel Ramos | Daniel Ramos, Hailie Mitchell, In\^es Lynce, Vasco Manquinho, Ruben
Martins, Claire Le Goues | MELT: Mining Effective Lightweight Transformations from Pull Requests | null | 38th IEEE/ACM International Conference on Automated Software
Engineering, ASE 2023, Luxembourg, September 11-15, 2023 | 10.1109/ASE56229.2023.00117 | null | cs.SE cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software developers often struggle to update APIs, leading to manual,
time-consuming, and error-prone processes. We introduce MELT, a new approach
that generates lightweight API migration rules directly from pull requests in
popular library repositories. Our key insight is that pull requests merged into
open-source l... | [
{
"created": "Mon, 28 Aug 2023 16:21:52 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Jul 2024 23:16:16 GMT",
"version": "v2"
}
] | 2024-07-10 | [
[
"Ramos",
"Daniel",
""
],
[
"Mitchell",
"Hailie",
""
],
[
"Lynce",
"Inês",
""
],
[
"Manquinho",
"Vasco",
""
],
[
"Martins",
"Ruben",
""
],
[
"Goues",
"Claire Le",
""
]
] | Software developers often struggle to update APIs, leading to manual, time-consuming, and error-prone processes. We introduce MELT, a new approach that generates lightweight API migration rules directly from pull requests in popular library repositories. Our key insight is that pull requests merged into open-source lib... |
2306.10208 | Du Tran | Du Tran and Jitendra Malik | Learning Space-Time Semantic Correspondences | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We propose a new task of space-time semantic correspondence prediction in
videos. Given a source video, a target video, and a set of space-time
key-points in the source video, the task requires predicting a set of keypoints
in the target video that are the semantic correspondences of the provided
source keypoints. We... | [
{
"created": "Fri, 16 Jun 2023 23:15:12 GMT",
"version": "v1"
}
] | 2023-06-21 | [
[
"Tran",
"Du",
""
],
[
"Malik",
"Jitendra",
""
]
] | We propose a new task of space-time semantic correspondence prediction in videos. Given a source video, a target video, and a set of space-time key-points in the source video, the task requires predicting a set of keypoints in the target video that are the semantic correspondences of the provided source keypoints. We b... |
2310.05848 | Giacomo Verardo | Giacomo Verardo, Magnus Boman, Samuel Bruchfeld, Marco Chiesa, Sabine
Koch, Gerald Q. Maguire Jr., Dejan Kostic | FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior
knowledge | 23 pages, 14 figures | null | null | null | cs.LG cs.AI eess.SP | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Detecting anomalies in electrocardiogram data is crucial to identifying
deviations from normal heartbeat patterns and providing timely intervention to
at-risk patients. Various AutoEncoder models (AE) have been proposed to tackle
the anomaly detection task with ML. However, these models do not consider the
specific p... | [
{
"created": "Fri, 6 Oct 2023 17:20:11 GMT",
"version": "v1"
}
] | 2023-10-10 | [
[
"Verardo",
"Giacomo",
""
],
[
"Boman",
"Magnus",
""
],
[
"Bruchfeld",
"Samuel",
""
],
[
"Chiesa",
"Marco",
""
],
[
"Koch",
"Sabine",
""
],
[
"Maguire",
"Gerald Q.",
"Jr."
],
[
"Kostic",
"Dejan",
""
]
] | Detecting anomalies in electrocardiogram data is crucial to identifying deviations from normal heartbeat patterns and providing timely intervention to at-risk patients. Various AutoEncoder models (AE) have been proposed to tackle the anomaly detection task with ML. However, these models do not consider the specific pat... |
2005.11220 | Geonseok Seo | Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak | KL-Divergence-Based Region Proposal Network for Object Detection | 5 pages, 3 figures, Accepted to ICIP 2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The learning of the region proposal in object detection using the deep neural
networks (DNN) is divided into two tasks: binary classification and bounding
box regression task. However, traditional RPN (Region Proposal Network) defines
these two tasks as different problems, and they are trained independently. In
this ... | [
{
"created": "Fri, 22 May 2020 14:59:26 GMT",
"version": "v1"
}
] | 2020-05-25 | [
[
"Seo",
"Geonseok",
""
],
[
"Yoo",
"Jaeyoung",
""
],
[
"Choi",
"Jaeseok",
""
],
[
"Kwak",
"Nojun",
""
]
] | The learning of the region proposal in object detection using the deep neural networks (DNN) is divided into two tasks: binary classification and bounding box regression task. However, traditional RPN (Region Proposal Network) defines these two tasks as different problems, and they are trained independently. In this pa... |
2207.11211 | Timo S\"amann | Timo S\"amann, Ahmed Mostafa Hammam, Andrei Bursuc, Christoph Stiller,
Horst-Michael Gro{\ss} | Improving Predictive Performance and Calibration by Weight Fusion in
Semantic Segmentation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Averaging predictions of a deep ensemble of networks is apopular and
effective method to improve predictive performance andcalibration in various
benchmarks and Kaggle competitions. However, theruntime and training cost of
deep ensembles grow linearly with the size ofthe ensemble, making them
unsuitable for many appl... | [
{
"created": "Fri, 22 Jul 2022 17:24:13 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Nov 2022 11:23:36 GMT",
"version": "v2"
}
] | 2022-11-09 | [
[
"Sämann",
"Timo",
""
],
[
"Hammam",
"Ahmed Mostafa",
""
],
[
"Bursuc",
"Andrei",
""
],
[
"Stiller",
"Christoph",
""
],
[
"Groß",
"Horst-Michael",
""
]
] | Averaging predictions of a deep ensemble of networks is apopular and effective method to improve predictive performance andcalibration in various benchmarks and Kaggle competitions. However, theruntime and training cost of deep ensembles grow linearly with the size ofthe ensemble, making them unsuitable for many applic... |
2112.10066 | Cristian Rodriguez-Opazo | Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando,
Hiroya Takamura, Qi Wu | LocFormer: Enabling Transformers to Perform Temporal Moment Localization
on Long Untrimmed Videos With a Feature Sampling Approach | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We propose LocFormer, a Transformer-based model for video grounding which
operates at a constant memory footprint regardless of the video length, i.e.
number of frames. LocFormer is designed for tasks where it is necessary to
process the entire long video and at its core lie two main contributions.
First, our model i... | [
{
"created": "Sun, 19 Dec 2021 05:32:14 GMT",
"version": "v1"
}
] | 2021-12-21 | [
[
"Rodriguez-Opazo",
"Cristian",
""
],
[
"Marrese-Taylor",
"Edison",
""
],
[
"Fernando",
"Basura",
""
],
[
"Takamura",
"Hiroya",
""
],
[
"Wu",
"Qi",
""
]
] | We propose LocFormer, a Transformer-based model for video grounding which operates at a constant memory footprint regardless of the video length, i.e. number of frames. LocFormer is designed for tasks where it is necessary to process the entire long video and at its core lie two main contributions. First, our model inc... |
2203.12341 | Hangyu Li | Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, and Xinbo Gao | Towards Semi-Supervised Deep Facial Expression Recognition with An
Adaptive Confidence Margin | Accepted by CVPR2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Only parts of unlabeled data are selected to train models for most
semi-supervised learning methods, whose confidence scores are usually higher
than the pre-defined threshold (i.e., the confidence margin). We argue that the
recognition performance should be further improved by making full use of all
unlabeled data. I... | [
{
"created": "Wed, 23 Mar 2022 11:43:29 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Mar 2022 02:40:17 GMT",
"version": "v2"
}
] | 2022-03-25 | [
[
"Li",
"Hangyu",
""
],
[
"Wang",
"Nannan",
""
],
[
"Yang",
"Xi",
""
],
[
"Wang",
"Xiaoyu",
""
],
[
"Gao",
"Xinbo",
""
]
] | Only parts of unlabeled data are selected to train models for most semi-supervised learning methods, whose confidence scores are usually higher than the pre-defined threshold (i.e., the confidence margin). We argue that the recognition performance should be further improved by making full use of all unlabeled data. In ... |
2307.00959 | Mohammed Gharib Dr. | Mohammed Gharib, Bryce Hopkins, Jackson Murrin, Andre Koka, Fatemeh
Afghah | 5G Wings: Investigating 5G-Connected Drones Performance in Non-Urban
Areas | null | null | null | null | cs.NI eess.SP | http://creativecommons.org/licenses/by/4.0/ | Unmanned aerial vehicles (UAVs) have become extremely popular for both
military and civilian applications due to their ease of deployment,
cost-effectiveness, high maneuverability, and availability. Both applications,
however, need reliable communication for command and control (C2) and/or data
transmission. Utilizin... | [
{
"created": "Mon, 3 Jul 2023 12:23:56 GMT",
"version": "v1"
}
] | 2023-07-04 | [
[
"Gharib",
"Mohammed",
""
],
[
"Hopkins",
"Bryce",
""
],
[
"Murrin",
"Jackson",
""
],
[
"Koka",
"Andre",
""
],
[
"Afghah",
"Fatemeh",
""
]
] | Unmanned aerial vehicles (UAVs) have become extremely popular for both military and civilian applications due to their ease of deployment, cost-effectiveness, high maneuverability, and availability. Both applications, however, need reliable communication for command and control (C2) and/or data transmission. Utilizing ... |
2404.16776 | Jianxiang Zang | Jianxiang Zang, Hui Liu | Modeling Selective Feature Attention for Representation-based Siamese
Text Matching | Accepted by IJCAI2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Representation-based Siamese networks have risen to popularity in lightweight
text matching due to their low deployment and inference costs. While word-level
attention mechanisms have been implemented within Siamese networks to improve
performance, we propose Feature Attention (FA), a novel downstream block
designed ... | [
{
"created": "Thu, 25 Apr 2024 17:26:59 GMT",
"version": "v1"
}
] | 2024-04-26 | [
[
"Zang",
"Jianxiang",
""
],
[
"Liu",
"Hui",
""
]
] | Representation-based Siamese networks have risen to popularity in lightweight text matching due to their low deployment and inference costs. While word-level attention mechanisms have been implemented within Siamese networks to improve performance, we propose Feature Attention (FA), a novel downstream block designed to... |
2110.02018 | Milad Ramezani | Milad Ramezani, Matias Mattamala and Maurice Fallon | AEROS: Adaptive RObust least-Squares for Graph-Based SLAM | 13 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In robot localisation and mapping, outliers are unavoidable when loop-closure
measurements are taken into account. A single false-positive loop-closure can
have a very negative impact on SLAM problems causing an inferior trajectory to
be produced or even for the optimisation to fail entirely. To address this
issue, p... | [
{
"created": "Sun, 3 Oct 2021 23:17:59 GMT",
"version": "v1"
}
] | 2021-10-06 | [
[
"Ramezani",
"Milad",
""
],
[
"Mattamala",
"Matias",
""
],
[
"Fallon",
"Maurice",
""
]
] | In robot localisation and mapping, outliers are unavoidable when loop-closure measurements are taken into account. A single false-positive loop-closure can have a very negative impact on SLAM problems causing an inferior trajectory to be produced or even for the optimisation to fail entirely. To address this issue, pop... |
1906.11883 | Ankush Gupta | Tejas Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud,
Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih | Unsupervised Learning of Object Keypoints for Perception and Control | In NeurIPS 2019. Code
https://github.com/deepmind/deepmind-research/tree/master/transporter | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The study of object representations in computer vision has primarily focused
on developing representations that are useful for image classification, object
detection, or semantic segmentation as downstream tasks. In this work we aim to
learn object representations that are useful for control and reinforcement
learnin... | [
{
"created": "Wed, 19 Jun 2019 23:58:54 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Nov 2019 00:27:24 GMT",
"version": "v2"
}
] | 2019-11-21 | [
[
"Kulkarni",
"Tejas",
""
],
[
"Gupta",
"Ankush",
""
],
[
"Ionescu",
"Catalin",
""
],
[
"Borgeaud",
"Sebastian",
""
],
[
"Reynolds",
"Malcolm",
""
],
[
"Zisserman",
"Andrew",
""
],
[
"Mnih",
"Volodymyr",
""
... | The study of object representations in computer vision has primarily focused on developing representations that are useful for image classification, object detection, or semantic segmentation as downstream tasks. In this work we aim to learn object representations that are useful for control and reinforcement learning ... |
2203.12896 | Marcos Faundez-Zanuy | Marcos Faundez-Zanuy | Wide band sub-band speech coding using nonlinear prediction | 4 pages, published in 2003 IEEE International Conference on
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)
Hong Kong, China | 2003 IEEE International Conference on Acoustics, Speech, and
Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003, pp. II-181 | 10.1109/ICASSP.2003.1202324 | null | cs.SD eess.AS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We compare a wide band sub-band speech coder using ADPCM schemes with linear
prediction against the same scheme with nonlinear prediction based on
multi-layer perceptrons. Exhaustive results are presented in each band, and the
full signal. Our proposed scheme with non-linear neural net prediction
outperforms the line... | [
{
"created": "Thu, 24 Mar 2022 07:28:15 GMT",
"version": "v1"
}
] | 2022-03-25 | [
[
"Faundez-Zanuy",
"Marcos",
""
]
] | We compare a wide band sub-band speech coder using ADPCM schemes with linear prediction against the same scheme with nonlinear prediction based on multi-layer perceptrons. Exhaustive results are presented in each band, and the full signal. Our proposed scheme with non-linear neural net prediction outperforms the linear... |
2112.09645 | Krishna Chaitanya | Krishna Chaitanya, Ertunc Erdil, Neerav Karani and Ender Konukoglu | Local contrastive loss with pseudo-label based self-training for
semi-supervised medical image segmentation | 13 pages, 4 figures, 7 tables. This article is under review at a
Journal | null | null | null | cs.CV cs.AI cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Supervised deep learning-based methods yield accurate results for medical
image segmentation. However, they require large labeled datasets for this, and
obtaining them is a laborious task that requires clinical expertise.
Semi/self-supervised learning-based approaches address this limitation by
exploiting unlabeled d... | [
{
"created": "Fri, 17 Dec 2021 17:38:56 GMT",
"version": "v1"
}
] | 2021-12-20 | [
[
"Chaitanya",
"Krishna",
""
],
[
"Erdil",
"Ertunc",
""
],
[
"Karani",
"Neerav",
""
],
[
"Konukoglu",
"Ender",
""
]
] | Supervised deep learning-based methods yield accurate results for medical image segmentation. However, they require large labeled datasets for this, and obtaining them is a laborious task that requires clinical expertise. Semi/self-supervised learning-based approaches address this limitation by exploiting unlabeled dat... |
2406.15599 | Ryan Boldi | Ryan Boldi, Li Ding, Lee Spector, Scott Niekum | Pareto-Optimal Learning from Preferences with Hidden Context | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ensuring AI models align with human values is essential for their safety and
functionality. Reinforcement learning from human feedback (RLHF) uses human
preferences to achieve this alignment. However, preferences sourced from
diverse populations can result in point estimates of human values that may be
sub-optimal or... | [
{
"created": "Fri, 21 Jun 2024 18:57:38 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Boldi",
"Ryan",
""
],
[
"Ding",
"Li",
""
],
[
"Spector",
"Lee",
""
],
[
"Niekum",
"Scott",
""
]
] | Ensuring AI models align with human values is essential for their safety and functionality. Reinforcement learning from human feedback (RLHF) uses human preferences to achieve this alignment. However, preferences sourced from diverse populations can result in point estimates of human values that may be sub-optimal or u... |
1902.05134 | Lefteris Zervakis | Lefteris Zervakis, Vinay Setty, Christos Tryfonopoulos, Katja Hose | Efficient Continuous Multi-Query Processing over Graph Streams | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graphs are ubiquitous and ever-present data structures that have a wide range
of applications involving social networks, knowledge bases and biological
interactions. The evolution of a graph in such scenarios can yield important
insights about the nature and activities of the underlying network, which can
then be uti... | [
{
"created": "Wed, 13 Feb 2019 21:14:10 GMT",
"version": "v1"
}
] | 2019-02-15 | [
[
"Zervakis",
"Lefteris",
""
],
[
"Setty",
"Vinay",
""
],
[
"Tryfonopoulos",
"Christos",
""
],
[
"Hose",
"Katja",
""
]
] | Graphs are ubiquitous and ever-present data structures that have a wide range of applications involving social networks, knowledge bases and biological interactions. The evolution of a graph in such scenarios can yield important insights about the nature and activities of the underlying network, which can then be utili... |
2407.15815 | Zhecheng Yuan | Zhecheng Yuan, Tianming Wei, Shuiqi Cheng, Gu Zhang, Yuanpei Chen,
Huazhe Xu | Learning to Manipulate Anywhere: A Visual Generalizable Framework For
Reinforcement Learning | Webpage: https://gemcollector.github.io/maniwhere/ | null | null | null | cs.RO cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Can we endow visuomotor robots with generalization capabilities to operate in
diverse open-world scenarios? In this paper, we propose \textbf{Maniwhere}, a
generalizable framework tailored for visual reinforcement learning, enabling
the trained robot policies to generalize across a combination of multiple
visual dist... | [
{
"created": "Mon, 22 Jul 2024 17:29:02 GMT",
"version": "v1"
}
] | 2024-07-23 | [
[
"Yuan",
"Zhecheng",
""
],
[
"Wei",
"Tianming",
""
],
[
"Cheng",
"Shuiqi",
""
],
[
"Zhang",
"Gu",
""
],
[
"Chen",
"Yuanpei",
""
],
[
"Xu",
"Huazhe",
""
]
] | Can we endow visuomotor robots with generalization capabilities to operate in diverse open-world scenarios? In this paper, we propose \textbf{Maniwhere}, a generalizable framework tailored for visual reinforcement learning, enabling the trained robot policies to generalize across a combination of multiple visual distur... |
2210.12929 | Vikas Raunak | Vikas Raunak and Arul Menezes | Finding Memo: Extractive Memorization in Constrained Sequence Generation
Tasks | EMNLP Findings 2022 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Memorization presents a challenge for several constrained Natural Language
Generation (NLG) tasks such as Neural Machine Translation (NMT), wherein the
proclivity of neural models to memorize noisy and atypical samples reacts
adversely with the noisy (web crawled) datasets. However, previous studies of
memorization i... | [
{
"created": "Mon, 24 Oct 2022 03:01:52 GMT",
"version": "v1"
}
] | 2022-10-25 | [
[
"Raunak",
"Vikas",
""
],
[
"Menezes",
"Arul",
""
]
] | Memorization presents a challenge for several constrained Natural Language Generation (NLG) tasks such as Neural Machine Translation (NMT), wherein the proclivity of neural models to memorize noisy and atypical samples reacts adversely with the noisy (web crawled) datasets. However, previous studies of memorization in ... |
2009.11458 | Ali Almadan | Ali Almadan, Anoop Krishnan, Ajita Rattani | BWCFace: Open-set Face Recognition using Body-worn Camera | null | 19th IEEE International Conference On Machine Learning And
Applications 2020 | Miami, Florida | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With computer vision reaching an inflection point in the past decade, face
recognition technology has become pervasive in policing, intelligence
gathering, and consumer applications. Recently, face recognition technology has
been deployed on bodyworn cameras to keep officers safe, enabling situational
awareness and p... | [
{
"created": "Thu, 24 Sep 2020 02:45:29 GMT",
"version": "v1"
}
] | 2020-09-25 | [
[
"Almadan",
"Ali",
""
],
[
"Krishnan",
"Anoop",
""
],
[
"Rattani",
"Ajita",
""
]
] | With computer vision reaching an inflection point in the past decade, face recognition technology has become pervasive in policing, intelligence gathering, and consumer applications. Recently, face recognition technology has been deployed on bodyworn cameras to keep officers safe, enabling situational awareness and pro... |
2104.14670 | Doseok Jang | Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas
Spanos | Using Meta Reinforcement Learning to Bridge the Gap between Simulation
and Experiment in Energy Demand Response | null | null | 10.1145/3447555.3466589 | null | cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Our team is proposing to run a full-scale energy demand response experiment
in an office building. Although this is an exciting endeavor which will provide
value to the community, collecting training data for the reinforcement learning
agent is costly and will be limited. In this work, we apply a meta-learning
archit... | [
{
"created": "Thu, 29 Apr 2021 21:55:04 GMT",
"version": "v1"
},
{
"created": "Mon, 17 May 2021 06:09:31 GMT",
"version": "v2"
}
] | 2021-11-12 | [
[
"Jang",
"Doseok",
""
],
[
"Spangher",
"Lucas",
""
],
[
"Khattar",
"Manan",
""
],
[
"Agwan",
"Utkarsha",
""
],
[
"Spanos",
"Costas",
""
]
] | Our team is proposing to run a full-scale energy demand response experiment in an office building. Although this is an exciting endeavor which will provide value to the community, collecting training data for the reinforcement learning agent is costly and will be limited. In this work, we apply a meta-learning architec... |
2312.09535 | Angshuman Karmakar | Anindya Ganguly, Angshuman Karmakar, and Nitin Saxena | VDOO: A Short, Fast, Post-Quantum Multivariate Digital Signature Scheme | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Hard lattice problems are predominant in constructing post-quantum
cryptosystems. However, we need to continue developing post-quantum
cryptosystems based on other quantum hard problems to prevent a complete
collapse of post-quantum cryptography due to a sudden breakthrough in solving
hard lattice problems. Solving l... | [
{
"created": "Fri, 15 Dec 2023 04:58:10 GMT",
"version": "v1"
}
] | 2023-12-18 | [
[
"Ganguly",
"Anindya",
""
],
[
"Karmakar",
"Angshuman",
""
],
[
"Saxena",
"Nitin",
""
]
] | Hard lattice problems are predominant in constructing post-quantum cryptosystems. However, we need to continue developing post-quantum cryptosystems based on other quantum hard problems to prevent a complete collapse of post-quantum cryptography due to a sudden breakthrough in solving hard lattice problems. Solving lar... |
cs/0108008 | Giuliana Sabbatini | T. Eiter, M. Fink, G. Sabbatini and H. Tompits | Using Methods of Declarative Logic Programming for Intelligent
Information Agents | 66 pages, 1 figure, to be published in "Theory and Practice of Logic
Programming" | null | null | null | cs.MA cs.AI | null | The search for information on the web is faced with several problems, which
arise on the one hand from the vast number of available sources, and on the
other hand from their heterogeneity. A promising approach is the use of
multi-agent systems of information agents, which cooperatively solve advanced
information-retr... | [
{
"created": "Tue, 14 Aug 2001 14:51:23 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Eiter",
"T.",
""
],
[
"Fink",
"M.",
""
],
[
"Sabbatini",
"G.",
""
],
[
"Tompits",
"H.",
""
]
] | The search for information on the web is faced with several problems, which arise on the one hand from the vast number of available sources, and on the other hand from their heterogeneity. A promising approach is the use of multi-agent systems of information agents, which cooperatively solve advanced information-retrie... |
1703.08336 | EPTCS | Yue Li | Structural Resolution with Co-inductive Loop Detection | In Proceedings CoALP-Ty'16, arXiv:1709.04199 | EPTCS 258, 2017, pp. 52-67 | 10.4204/EPTCS.258.4 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A way to combine co-SLD style loop detection with structural resolution was
found and is introduced in this work, to extend structural resolution with
co-induction. In particular, we present the operational semantics, called
co-inductive structural resolution, of this novel combination and prove its
soundness with re... | [
{
"created": "Fri, 24 Mar 2017 10:07:42 GMT",
"version": "v1"
},
{
"created": "Wed, 5 Jul 2017 18:31:32 GMT",
"version": "v2"
},
{
"created": "Wed, 12 Jul 2017 16:43:16 GMT",
"version": "v3"
},
{
"created": "Thu, 14 Sep 2017 11:36:11 GMT",
"version": "v4"
}
] | 2017-09-15 | [
[
"Li",
"Yue",
""
]
] | A way to combine co-SLD style loop detection with structural resolution was found and is introduced in this work, to extend structural resolution with co-induction. In particular, we present the operational semantics, called co-inductive structural resolution, of this novel combination and prove its soundness with resp... |
2009.02386 | Ze Wang | Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu | ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Convolutional Neural Networks (CNNs) are known to be significantly
over-parametrized, and difficult to interpret, train and adapt. In this paper,
we introduce a structural regularization across convolutional kernels in a CNN.
In our approach, each convolution kernel is first decomposed as 2D dictionary
atoms linearly... | [
{
"created": "Fri, 4 Sep 2020 20:41:47 GMT",
"version": "v1"
}
] | 2020-09-08 | [
[
"Wang",
"Ze",
""
],
[
"Cheng",
"Xiuyuan",
""
],
[
"Sapiro",
"Guillermo",
""
],
[
"Qiu",
"Qiang",
""
]
] | Convolutional Neural Networks (CNNs) are known to be significantly over-parametrized, and difficult to interpret, train and adapt. In this paper, we introduce a structural regularization across convolutional kernels in a CNN. In our approach, each convolution kernel is first decomposed as 2D dictionary atoms linearly c... |
2202.10842 | Chongming Gao | Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng
Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua | KuaiRec: A Fully-observed Dataset and Insights for Evaluating
Recommender Systems | CIKM '22 Full Paper | null | 10.1145/3511808.3557220 | null | cs.IR cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The progress of recommender systems is hampered mainly by evaluation as it
requires real-time interactions between humans and systems, which is too
laborious and expensive. This issue is usually approached by utilizing the
interaction history to conduct offline evaluation. However, existing datasets
of user-item inte... | [
{
"created": "Tue, 22 Feb 2022 12:08:14 GMT",
"version": "v1"
},
{
"created": "Thu, 19 May 2022 06:14:33 GMT",
"version": "v2"
},
{
"created": "Thu, 18 Aug 2022 08:53:37 GMT",
"version": "v3"
}
] | 2022-08-19 | [
[
"Gao",
"Chongming",
""
],
[
"Li",
"Shijun",
""
],
[
"Lei",
"Wenqiang",
""
],
[
"Chen",
"Jiawei",
""
],
[
"Li",
"Biao",
""
],
[
"Jiang",
"Peng",
""
],
[
"He",
"Xiangnan",
""
],
[
"Mao",
"Jiaxin",... | The progress of recommender systems is hampered mainly by evaluation as it requires real-time interactions between humans and systems, which is too laborious and expensive. This issue is usually approached by utilizing the interaction history to conduct offline evaluation. However, existing datasets of user-item intera... |
2007.09312 | Rongzhe Wei | Rongzhe Wei, Fa Zhang, Bo Dong and Qinghua Zheng | DWMD: Dimensional Weighted Orderwise Moment Discrepancy for
Domain-specific Hidden Representation Matching | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge transfer from a source domain to a different but semantically
related target domain has long been an important topic in the context of
unsupervised domain adaptation (UDA). A key challenge in this field is
establishing a metric that can exactly measure the data distribution
discrepancy between two homogeneo... | [
{
"created": "Sat, 18 Jul 2020 02:37:32 GMT",
"version": "v1"
}
] | 2020-07-21 | [
[
"Wei",
"Rongzhe",
""
],
[
"Zhang",
"Fa",
""
],
[
"Dong",
"Bo",
""
],
[
"Zheng",
"Qinghua",
""
]
] | Knowledge transfer from a source domain to a different but semantically related target domain has long been an important topic in the context of unsupervised domain adaptation (UDA). A key challenge in this field is establishing a metric that can exactly measure the data distribution discrepancy between two homogeneous... |
2303.15110 | Isaac Chung | Elizaveta Korotkova, Isaac Kwan Yin Chung | Beyond Toxic: Toxicity Detection Datasets are Not Enough for Brand
Safety | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | The rapid growth in user generated content on social media has resulted in a
significant rise in demand for automated content moderation. Various methods
and frameworks have been proposed for the tasks of hate speech detection and
toxic comment classification. In this work, we combine common datasets to
extend these ... | [
{
"created": "Mon, 27 Mar 2023 11:29:09 GMT",
"version": "v1"
}
] | 2023-03-28 | [
[
"Korotkova",
"Elizaveta",
""
],
[
"Chung",
"Isaac Kwan Yin",
""
]
] | The rapid growth in user generated content on social media has resulted in a significant rise in demand for automated content moderation. Various methods and frameworks have been proposed for the tasks of hate speech detection and toxic comment classification. In this work, we combine common datasets to extend these ta... |
2310.04940 | Shengxi Shou | Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen
Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin | SEE-MCAM: Scalable Multi-bit FeFET Content Addressable Memories for
Energy Efficient Associative Search | Accepted by Internation Conference on Computer-Aided Design (ICCAD),
2023 | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we propose SEE-MCAM, scalable and compact multi-bit CAM (MCAM)
designs that utilize the three-terminal ferroelectric FET (FeFET) as the proxy.
By exploiting the multi-level-cell characteristics of FeFETs, our proposed
SEE-MCAM designs enable multi-bit associative search functions and achieve
better ener... | [
{
"created": "Sat, 7 Oct 2023 23:14:18 GMT",
"version": "v1"
}
] | 2023-10-10 | [
[
"Shou",
"Shengxi",
""
],
[
"Liu",
"Che-Kai",
""
],
[
"Yun",
"Sanggeon",
""
],
[
"Wan",
"Zishen",
""
],
[
"Ni",
"Kai",
""
],
[
"Imani",
"Mohsen",
""
],
[
"Hu",
"X. Sharon",
""
],
[
"Yang",
"Jiany... | In this work, we propose SEE-MCAM, scalable and compact multi-bit CAM (MCAM) designs that utilize the three-terminal ferroelectric FET (FeFET) as the proxy. By exploiting the multi-level-cell characteristics of FeFETs, our proposed SEE-MCAM designs enable multi-bit associative search functions and achieve better energy... |
cs/9809081 | David Eppstein | Nina Amenta, Marshall Bern, David Eppstein | Optimal Point Placement for Mesh Smoothing | 12 pages, 3 figures. A preliminary version of this paper was
presented at the 8th ACM/SIAM Symp. on Discrete Algorithms (SODA '97). This
is the final version, and will appear in a special issue of J. Algorithms for
papers from SODA '97 | J. Algorithms 30 (1999) 302-322 | 10.1006/jagm.1998.0984 | null | cs.CG | null | We study the problem of moving a vertex in an unstructured mesh of
triangular, quadrilateral, or tetrahedral elements to optimize the shapes of
adjacent elements. We show that many such problems can be solved in linear time
using generalized linear programming. We also give efficient algorithms for
some mesh smoothin... | [
{
"created": "Thu, 24 Sep 1998 21:02:45 GMT",
"version": "v1"
}
] | 2010-01-21 | [
[
"Amenta",
"Nina",
""
],
[
"Bern",
"Marshall",
""
],
[
"Eppstein",
"David",
""
]
] | We study the problem of moving a vertex in an unstructured mesh of triangular, quadrilateral, or tetrahedral elements to optimize the shapes of adjacent elements. We show that many such problems can be solved in linear time using generalized linear programming. We also give efficient algorithms for some mesh smoothing ... |
1801.02123 | Ramakrishnan Durairajan | Ramakrishnan Durairajan, Sathiya Kumaran Mani, Paul Barford, Rob
Nowak, Joel Sommers | TimeWeaver: Opportunistic One Way Delay Measurement via NTP | 14 pages | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One-way delay (OWD) between end hosts has important implications for Internet
applications, protocols, and measurement-based analyses. We describe a new
approach for identifying OWDs via passive measurement of Network Time Protocol
(NTP) traffic. NTP traffic offers the opportunity to measure OWDs accurately
and conti... | [
{
"created": "Sun, 7 Jan 2018 03:37:46 GMT",
"version": "v1"
}
] | 2018-01-09 | [
[
"Durairajan",
"Ramakrishnan",
""
],
[
"Mani",
"Sathiya Kumaran",
""
],
[
"Barford",
"Paul",
""
],
[
"Nowak",
"Rob",
""
],
[
"Sommers",
"Joel",
""
]
] | One-way delay (OWD) between end hosts has important implications for Internet applications, protocols, and measurement-based analyses. We describe a new approach for identifying OWDs via passive measurement of Network Time Protocol (NTP) traffic. NTP traffic offers the opportunity to measure OWDs accurately and continu... |
1901.02609 | Qian Chen | Qian Chen, Wen Wang | Sequential Attention-based Network for Noetic End-to-End Response
Selection | Ranked first in DSTC7 Track 1. Accepted for an oral presentation at
the DSTC7 workshop at AAAI 2019. The source code is available now | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The noetic end-to-end response selection challenge as one track in Dialog
System Technology Challenges 7 (DSTC7) aims to push the state of the art of
utterance classification for real world goal-oriented dialog systems, for which
participants need to select the correct next utterances from a set of
candidates for the... | [
{
"created": "Wed, 9 Jan 2019 05:45:41 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Jul 2019 09:31:18 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Nov 2019 03:12:37 GMT",
"version": "v3"
}
] | 2019-11-20 | [
[
"Chen",
"Qian",
""
],
[
"Wang",
"Wen",
""
]
] | The noetic end-to-end response selection challenge as one track in Dialog System Technology Challenges 7 (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog systems, for which participants need to select the correct next utterances from a set of candidates for the m... |
2311.18434 | Felix Koulischer | Felix Koulischer, C\'edric Goemaere, Tom van der Meersch, Johannes
Deleu, Thomas Demeester | Exploring the Temperature-Dependent Phase Transition in Modern Hopfield
Networks | Accepted as poster for Associative Memory and Hopfield Networks
workshop at NeurIPS23 | null | null | null | cs.LG cond-mat.dis-nn | http://creativecommons.org/publicdomain/zero/1.0/ | The recent discovery of a connection between Transformers and Modern Hopfield
Networks (MHNs) has reignited the study of neural networks from a physical
energy-based perspective. This paper focuses on the pivotal effect of the
inverse temperature hyperparameter $\beta$ on the distribution of energy minima
of the MHN.... | [
{
"created": "Thu, 30 Nov 2023 10:34:29 GMT",
"version": "v1"
}
] | 2023-12-01 | [
[
"Koulischer",
"Felix",
""
],
[
"Goemaere",
"Cédric",
""
],
[
"van der Meersch",
"Tom",
""
],
[
"Deleu",
"Johannes",
""
],
[
"Demeester",
"Thomas",
""
]
] | The recent discovery of a connection between Transformers and Modern Hopfield Networks (MHNs) has reignited the study of neural networks from a physical energy-based perspective. This paper focuses on the pivotal effect of the inverse temperature hyperparameter $\beta$ on the distribution of energy minima of the MHN. T... |
2207.14372 | Mario W\"uthrich V. | Mario V. W\"uthrich | Model selection with Gini indices under auto-calibration | 11 pages, 1 figure | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | The Gini index does not give a strictly consistent scoring rule in general.
Therefore, maximizing the Gini index may lead to wrong decisions. The main
issue is that the Gini index is a rank-based score that is not
calibration-sensitive. We show that the Gini index allows for strictly
consistent scoring if we restrict... | [
{
"created": "Thu, 28 Jul 2022 20:39:50 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Aug 2022 10:20:28 GMT",
"version": "v2"
},
{
"created": "Wed, 10 Aug 2022 13:48:07 GMT",
"version": "v3"
}
] | 2022-08-11 | [
[
"Wüthrich",
"Mario V.",
""
]
] | The Gini index does not give a strictly consistent scoring rule in general. Therefore, maximizing the Gini index may lead to wrong decisions. The main issue is that the Gini index is a rank-based score that is not calibration-sensitive. We show that the Gini index allows for strictly consistent scoring if we restrict t... |
2209.03416 | Sophia Sanborn | Sophia Sanborn, Christian Shewmake, Bruno Olshausen, Christopher
Hillar | Bispectral Neural Networks | null | The Eleventh International Conference on Learning Representations
(2023) | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We present a neural network architecture, Bispectral Neural Networks (BNNs)
for learning representations that are invariant to the actions of compact
commutative groups on the space over which a signal is defined. The model
incorporates the ansatz of the bispectrum, an analytically defined group
invariant that is com... | [
{
"created": "Wed, 7 Sep 2022 18:34:48 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Sep 2022 18:38:48 GMT",
"version": "v2"
},
{
"created": "Mon, 3 Oct 2022 15:00:56 GMT",
"version": "v3"
},
{
"created": "Sun, 19 Mar 2023 16:34:47 GMT",
"version": "v4"
},
{
"crea... | 2023-05-23 | [
[
"Sanborn",
"Sophia",
""
],
[
"Shewmake",
"Christian",
""
],
[
"Olshausen",
"Bruno",
""
],
[
"Hillar",
"Christopher",
""
]
] | We present a neural network architecture, Bispectral Neural Networks (BNNs) for learning representations that are invariant to the actions of compact commutative groups on the space over which a signal is defined. The model incorporates the ansatz of the bispectrum, an analytically defined group invariant that is compl... |
2110.02578 | Junguang Jiang | Junguang Jiang, Baixu Chen, Jianmin Wang, Mingsheng Long | Decoupled Adaptation for Cross-Domain Object Detection | null | ICLR 2022 | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Cross-domain object detection is more challenging than object classification
since multiple objects exist in an image and the location of each object is
unknown in the unlabeled target domain. As a result, when we adapt features of
different objects to enhance the transferability of the detector, the features
of the ... | [
{
"created": "Wed, 6 Oct 2021 08:43:59 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Feb 2022 08:10:23 GMT",
"version": "v2"
},
{
"created": "Mon, 9 May 2022 05:03:53 GMT",
"version": "v3"
}
] | 2022-05-10 | [
[
"Jiang",
"Junguang",
""
],
[
"Chen",
"Baixu",
""
],
[
"Wang",
"Jianmin",
""
],
[
"Long",
"Mingsheng",
""
]
] | Cross-domain object detection is more challenging than object classification since multiple objects exist in an image and the location of each object is unknown in the unlabeled target domain. As a result, when we adapt features of different objects to enhance the transferability of the detector, the features of the fo... |
1910.05905 | Qianqian Xu | Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang,
Yuan Yao | iSplit LBI: Individualized Partial Ranking with Ties via Split LBI | Accepted by NeurIPS 2019 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to the inherent uncertainty of data, the problem of predicting partial
ranking from pairwise comparison data with ties has attracted increasing
interest in recent years. However, in real-world scenarios, different
individuals often hold distinct preferences. It might be misleading to merely
look at a global parti... | [
{
"created": "Mon, 14 Oct 2019 03:25:51 GMT",
"version": "v1"
}
] | 2019-10-15 | [
[
"Xu",
"Qianqian",
""
],
[
"Sun",
"Xinwei",
""
],
[
"Yang",
"Zhiyong",
""
],
[
"Cao",
"Xiaochun",
""
],
[
"Huang",
"Qingming",
""
],
[
"Yao",
"Yuan",
""
]
] | Due to the inherent uncertainty of data, the problem of predicting partial ranking from pairwise comparison data with ties has attracted increasing interest in recent years. However, in real-world scenarios, different individuals often hold distinct preferences. It might be misleading to merely look at a global partial... |
2306.01412 | Farzad Pourkamali | Farzad Pourkamali, Jean Barbier, Nicolas Macris | Matrix Inference in Growing Rank Regimes | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The inference of a large symmetric signal-matrix $\mathbf{S} \in
\mathbb{R}^{N\times N}$ corrupted by additive Gaussian noise, is considered for
two regimes of growth of the rank $M$ as a function of $N$. For sub-linear
ranks $M=\Theta(N^\alpha)$ with $\alpha\in(0,1)$ the mutual information and
minimum mean-square er... | [
{
"created": "Fri, 2 Jun 2023 10:04:15 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Jul 2024 12:16:47 GMT",
"version": "v2"
}
] | 2024-07-16 | [
[
"Pourkamali",
"Farzad",
""
],
[
"Barbier",
"Jean",
""
],
[
"Macris",
"Nicolas",
""
]
] | The inference of a large symmetric signal-matrix $\mathbf{S} \in \mathbb{R}^{N\times N}$ corrupted by additive Gaussian noise, is considered for two regimes of growth of the rank $M$ as a function of $N$. For sub-linear ranks $M=\Theta(N^\alpha)$ with $\alpha\in(0,1)$ the mutual information and minimum mean-square erro... |
2401.00139 | Hengrui Cai | Hengrui Cai, Shengjie Liu, Rui Song | Is Knowledge All Large Language Models Needed for Causal Reasoning? | A Python implementation of our proposed method is available at
https://github.com/ncsulsj/Causal_LLM | null | null | null | cs.AI cs.CL cs.LG stat.ME | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper explores the causal reasoning of large language models (LLMs) to
enhance their interpretability and reliability in advancing artificial
intelligence. Despite the proficiency of LLMs in a range of tasks, their
potential for understanding causality requires further exploration. We propose
a novel causal attr... | [
{
"created": "Sat, 30 Dec 2023 04:51:46 GMT",
"version": "v1"
},
{
"created": "Wed, 5 Jun 2024 07:12:02 GMT",
"version": "v2"
}
] | 2024-06-06 | [
[
"Cai",
"Hengrui",
""
],
[
"Liu",
"Shengjie",
""
],
[
"Song",
"Rui",
""
]
] | This paper explores the causal reasoning of large language models (LLMs) to enhance their interpretability and reliability in advancing artificial intelligence. Despite the proficiency of LLMs in a range of tasks, their potential for understanding causality requires further exploration. We propose a novel causal attrib... |
2007.11067 | Xiaomeng Li | Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing | Self-supervised Feature Learning via Exploiting Multi-modal Data for
Retinal Disease Diagnosis | IEEE Transactions on Medical Imaging, code is at
https://github.com/xmengli999/self_supervised | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The automatic diagnosis of various retinal diseases from fundus images is
important to support clinical decision-making. However, developing such
automatic solutions is challenging due to the requirement of a large amount of
human-annotated data. Recently, unsupervised/self-supervised feature learning
techniques rece... | [
{
"created": "Tue, 21 Jul 2020 19:49:45 GMT",
"version": "v1"
}
] | 2020-07-23 | [
[
"Li",
"Xiaomeng",
""
],
[
"Jia",
"Mengyu",
""
],
[
"Islam",
"Md Tauhidul",
""
],
[
"Yu",
"Lequan",
""
],
[
"Xing",
"Lei",
""
]
] | The automatic diagnosis of various retinal diseases from fundus images is important to support clinical decision-making. However, developing such automatic solutions is challenging due to the requirement of a large amount of human-annotated data. Recently, unsupervised/self-supervised feature learning techniques receiv... |
2202.09953 | Siyuan Zou | Yongjun Zhang, Siyuan Zou, Xinyi Liu, Xu Huang, Yi Wan, and Yongxiang
Yao | LiDAR-guided Stereo Matching with a Spatial Consistency Constraint | we replace an article because of the addition of journal reference,
DOI, and report number information | ISPRS Journal of Photogrammetry and Remote Sensing Volume
183(2021) 164-177 | 10.1016/j.isprsjprs.2021.11.003 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The complementary fusion of light detection and ranging (LiDAR) data and
image data is a promising but challenging task for generating high-precision
and high-density point clouds. This study proposes an innovative LiDAR-guided
stereo matching approach called LiDAR-guided stereo matching (LGSM), which
considers the s... | [
{
"created": "Mon, 21 Feb 2022 02:29:19 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Feb 2022 13:00:26 GMT",
"version": "v2"
}
] | 2022-02-25 | [
[
"Zhang",
"Yongjun",
""
],
[
"Zou",
"Siyuan",
""
],
[
"Liu",
"Xinyi",
""
],
[
"Huang",
"Xu",
""
],
[
"Wan",
"Yi",
""
],
[
"Yao",
"Yongxiang",
""
]
] | The complementary fusion of light detection and ranging (LiDAR) data and image data is a promising but challenging task for generating high-precision and high-density point clouds. This study proposes an innovative LiDAR-guided stereo matching approach called LiDAR-guided stereo matching (LGSM), which considers the spa... |
2206.02878 | Hasan Al Maruf | Hasan Al Maruf, Hao Wang, Abhishek Dhanotia, Johannes Weiner, Niket
Agarwal, Pallab Bhattacharya, Chris Petersen, Mosharaf Chowdhury, Shobhit
Kanaujia, Prakash Chauhan | TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory | null | null | 10.1145/3582016.3582063 | null | cs.DC cs.OS | http://creativecommons.org/licenses/by/4.0/ | The increasing demand for memory in hyperscale applications has led to memory
becoming a large portion of the overall datacenter spend. The emergence of
coherent interfaces like CXL enables main memory expansion and offers an
efficient solution to this problem. In such systems, the main memory can
constitute differen... | [
{
"created": "Mon, 6 Jun 2022 20:09:20 GMT",
"version": "v1"
},
{
"created": "Sun, 28 May 2023 06:05:47 GMT",
"version": "v2"
}
] | 2023-05-30 | [
[
"Maruf",
"Hasan Al",
""
],
[
"Wang",
"Hao",
""
],
[
"Dhanotia",
"Abhishek",
""
],
[
"Weiner",
"Johannes",
""
],
[
"Agarwal",
"Niket",
""
],
[
"Bhattacharya",
"Pallab",
""
],
[
"Petersen",
"Chris",
""
],
... | The increasing demand for memory in hyperscale applications has led to memory becoming a large portion of the overall datacenter spend. The emergence of coherent interfaces like CXL enables main memory expansion and offers an efficient solution to this problem. In such systems, the main memory can constitute different ... |
2307.07361 | Aoxiong Yin | Aoxiong Yin, Tianyun Zhong, Li Tang, Weike Jin, Tao Jin, Zhou Zhao | Gloss Attention for Gloss-free Sign Language Translation | null | null | null | null | cs.CV cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most sign language translation (SLT) methods to date require the use of gloss
annotations to provide additional supervision information, however, the
acquisition of gloss is not easy. To solve this problem, we first perform an
analysis of existing models to confirm how gloss annotations make SLT easier.
We find that ... | [
{
"created": "Fri, 14 Jul 2023 14:07:55 GMT",
"version": "v1"
}
] | 2023-07-17 | [
[
"Yin",
"Aoxiong",
""
],
[
"Zhong",
"Tianyun",
""
],
[
"Tang",
"Li",
""
],
[
"Jin",
"Weike",
""
],
[
"Jin",
"Tao",
""
],
[
"Zhao",
"Zhou",
""
]
] | Most sign language translation (SLT) methods to date require the use of gloss annotations to provide additional supervision information, however, the acquisition of gloss is not easy. To solve this problem, we first perform an analysis of existing models to confirm how gloss annotations make SLT easier. We find that it... |
2102.08688 | Shuai Zhang Dr | Shuai Zhang and Yi Tay and Wenqi Jiang and Da-cheng Juan and Ce Zhang | Switch Spaces: Learning Product Spaces with Sparse Gating | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning embedding spaces of suitable geometry is critical for representation
learning. In order for learned representations to be effective and efficient,
it is ideal that the geometric inductive bias aligns well with the underlying
structure of the data. In this paper, we propose Switch Spaces, a data-driven
approa... | [
{
"created": "Wed, 17 Feb 2021 11:06:59 GMT",
"version": "v1"
},
{
"created": "Sun, 28 Mar 2021 22:12:04 GMT",
"version": "v2"
}
] | 2021-03-30 | [
[
"Zhang",
"Shuai",
""
],
[
"Tay",
"Yi",
""
],
[
"Jiang",
"Wenqi",
""
],
[
"Juan",
"Da-cheng",
""
],
[
"Zhang",
"Ce",
""
]
] | Learning embedding spaces of suitable geometry is critical for representation learning. In order for learned representations to be effective and efficient, it is ideal that the geometric inductive bias aligns well with the underlying structure of the data. In this paper, we propose Switch Spaces, a data-driven approach... |
2301.03593 | Adam Shostack | Adam Shostack | Fast, Cheap and Good: Lightweight Methods Are Undervalued | 9 pages, one figure | null | 10.1109/MSEC.2022.3223551 | null | cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Engineering techniques to address the endless parade of security issues are
an important area of research. Properties of practices in industrial use are
rarely studied. Security workers satisfice. There is a widespread perception
that security work must be cumbersome, and thus there's no value to assessing
levels of ... | [
{
"created": "Sat, 10 Dec 2022 23:04:15 GMT",
"version": "v1"
}
] | 2024-03-11 | [
[
"Shostack",
"Adam",
""
]
] | Engineering techniques to address the endless parade of security issues are an important area of research. Properties of practices in industrial use are rarely studied. Security workers satisfice. There is a widespread perception that security work must be cumbersome, and thus there's no value to assessing levels of ef... |
2212.05057 | Kaan Ak\c{s}it | Kaan Ak\c{s}it and Yuta Itoh | HoloBeam: Paper-Thin Near-Eye Displays | 15 pages, 18 Figures, 1 Table, 1 Listing | null | null | null | cs.HC cs.AR cs.GR physics.optics | http://creativecommons.org/licenses/by-nc-nd/4.0/ | An emerging alternative to conventional Augmented Reality (AR) glasses
designs, Beaming displays promise slim AR glasses free from challenging design
trade-offs, including battery-related limits or computational budget-related
issues. These beaming displays remove active components such as batteries and
electronics f... | [
{
"created": "Thu, 8 Dec 2022 09:53:13 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Jan 2023 14:38:44 GMT",
"version": "v2"
}
] | 2023-01-27 | [
[
"Akşit",
"Kaan",
""
],
[
"Itoh",
"Yuta",
""
]
] | An emerging alternative to conventional Augmented Reality (AR) glasses designs, Beaming displays promise slim AR glasses free from challenging design trade-offs, including battery-related limits or computational budget-related issues. These beaming displays remove active components such as batteries and electronics fro... |
2210.00301 | Juan Cervino | Juan Cervino, Luiz F. O. Chamon, Benjamin D. Haeffele, Rene Vidal, and
Alejandro Ribeiro | Learning Globally Smooth Functions on Manifolds | null | null | null | null | cs.LG cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Smoothness and low dimensional structures play central roles in improving
generalization and stability in learning and statistics. This work combines
techniques from semi-infinite constrained learning and manifold regularization
to learn representations that are globally smooth on a manifold. To do so, it
shows that ... | [
{
"created": "Sat, 1 Oct 2022 15:45:35 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Oct 2022 18:38:07 GMT",
"version": "v2"
},
{
"created": "Wed, 1 Feb 2023 22:32:59 GMT",
"version": "v3"
}
] | 2023-02-03 | [
[
"Cervino",
"Juan",
""
],
[
"Chamon",
"Luiz F. O.",
""
],
[
"Haeffele",
"Benjamin D.",
""
],
[
"Vidal",
"Rene",
""
],
[
"Ribeiro",
"Alejandro",
""
]
] | Smoothness and low dimensional structures play central roles in improving generalization and stability in learning and statistics. This work combines techniques from semi-infinite constrained learning and manifold regularization to learn representations that are globally smooth on a manifold. To do so, it shows that un... |
2301.05246 | Siddeshwar Raghavan | Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu | Online Class-Incremental Learning For Real-World Food Image
Classification | Accepted at IEEE/CVF Winter Conference on Applications of Computer
Vision (WACV 2024) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Food image classification is essential for monitoring health and tracking
dietary in image-based dietary assessment methods. However, conventional
systems often rely on static datasets with fixed classes and uniform
distribution. In contrast, real-world food consumption patterns, shaped by
cultural, economic, and per... | [
{
"created": "Thu, 12 Jan 2023 19:00:27 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Nov 2023 09:18:52 GMT",
"version": "v2"
},
{
"created": "Mon, 15 Jan 2024 23:44:36 GMT",
"version": "v3"
}
] | 2024-01-17 | [
[
"Raghavan",
"Siddeshwar",
""
],
[
"He",
"Jiangpeng",
""
],
[
"Zhu",
"Fengqing",
""
]
] | Food image classification is essential for monitoring health and tracking dietary in image-based dietary assessment methods. However, conventional systems often rely on static datasets with fixed classes and uniform distribution. In contrast, real-world food consumption patterns, shaped by cultural, economic, and perso... |
2212.06137 | Jeffrey Ouyang-Zhang | Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, Philipp
Kr\"ahenb\"uhl | NMS Strikes Back | Code is available at https://github.com/jozhang97/DETA | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Detection Transformer (DETR) directly transforms queries to unique objects by
using one-to-one bipartite matching during training and enables end-to-end
object detection. Recently, these models have surpassed traditional detectors
on COCO with undeniable elegance. However, they differ from traditional
detectors in mu... | [
{
"created": "Mon, 12 Dec 2022 18:59:58 GMT",
"version": "v1"
}
] | 2022-12-13 | [
[
"Ouyang-Zhang",
"Jeffrey",
""
],
[
"Cho",
"Jang Hyun",
""
],
[
"Zhou",
"Xingyi",
""
],
[
"Krähenbühl",
"Philipp",
""
]
] | Detection Transformer (DETR) directly transforms queries to unique objects by using one-to-one bipartite matching during training and enables end-to-end object detection. Recently, these models have surpassed traditional detectors on COCO with undeniable elegance. However, they differ from traditional detectors in mult... |
2010.07610 | Fabrice Muhlenbach | Fabrice Muhlenbach | A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value
Conflicts | Paper presented at the 2020 IEEE International Conference on Systems,
Man, and Cybernetics (SMC) | null | null | null | cs.AI cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The introduction of artificial intelligence into activities traditionally
carried out by human beings produces brutal changes. This is not without
consequences for human values. This paper is about designing and implementing
models of ethical behaviors in AI-based systems, and more specifically it
presents a methodol... | [
{
"created": "Thu, 15 Oct 2020 09:14:00 GMT",
"version": "v1"
}
] | 2020-10-16 | [
[
"Muhlenbach",
"Fabrice",
""
]
] | The introduction of artificial intelligence into activities traditionally carried out by human beings produces brutal changes. This is not without consequences for human values. This paper is about designing and implementing models of ethical behaviors in AI-based systems, and more specifically it presents a methodolog... |
0909.0206 | Somantika Datta | Somantika Datta, Stephen Howard, Douglas Cochran | Geometry of the Welch Bounds | changes from previous version include: correction of typos,
additional references added, new Example 3.3 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A geometric perspective involving Grammian and frame operators is used to
derive the entire family of Welch bounds. This perspective unifies a number of
observations that have been made regarding tightness of the bounds and their
connections to symmetric k-tensors, tight frames, homogeneous polynomials, and
t-designs... | [
{
"created": "Tue, 1 Sep 2009 15:30:31 GMT",
"version": "v1"
},
{
"created": "Wed, 30 May 2012 01:13:11 GMT",
"version": "v2"
}
] | 2012-05-31 | [
[
"Datta",
"Somantika",
""
],
[
"Howard",
"Stephen",
""
],
[
"Cochran",
"Douglas",
""
]
] | A geometric perspective involving Grammian and frame operators is used to derive the entire family of Welch bounds. This perspective unifies a number of observations that have been made regarding tightness of the bounds and their connections to symmetric k-tensors, tight frames, homogeneous polynomials, and t-designs. ... |
2311.10765 | Yufeng Chen | Yufeng Chen | Enhancing Machine Translation through Advanced In-Context Learning: A
Methodological Strategy for GPT-4 Improvement | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The challenge of improving translation accuracy in GPT-4 is being addressed
by harnessing a method known as in-context learning. This paper introduces a
strategic approach to utilize in-context learning specifically for machine
translation, aiming to significantly boost accuracy. The crux of this method
lies in the j... | [
{
"created": "Wed, 15 Nov 2023 10:28:28 GMT",
"version": "v1"
}
] | 2024-01-11 | [
[
"Chen",
"Yufeng",
""
]
] | The challenge of improving translation accuracy in GPT-4 is being addressed by harnessing a method known as in-context learning. This paper introduces a strategic approach to utilize in-context learning specifically for machine translation, aiming to significantly boost accuracy. The crux of this method lies in the jud... |
1712.10282 | Bo Dai | Bo Dai, Albert Shaw, Niao He, Lihong Li, Le Song | Boosting the Actor with Dual Critic | 21 pages, 9 figures | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a new actor-critic-style algorithm called Dual
Actor-Critic or Dual-AC. It is derived in a principled way from the Lagrangian
dual form of the Bellman optimality equation, which can be viewed as a
two-player game between the actor and a critic-like function, which is named as
dual critic. Compared... | [
{
"created": "Fri, 29 Dec 2017 17:17:58 GMT",
"version": "v1"
}
] | 2018-01-01 | [
[
"Dai",
"Bo",
""
],
[
"Shaw",
"Albert",
""
],
[
"He",
"Niao",
""
],
[
"Li",
"Lihong",
""
],
[
"Song",
"Le",
""
]
] | This paper proposes a new actor-critic-style algorithm called Dual Actor-Critic or Dual-AC. It is derived in a principled way from the Lagrangian dual form of the Bellman optimality equation, which can be viewed as a two-player game between the actor and a critic-like function, which is named as dual critic. Compared t... |
2404.00816 | Yue Zhang | Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy | HeteroMILE: a Multi-Level Graph Representation Learning Framework for
Heterogeneous Graphs | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Heterogeneous graphs are ubiquitous in real-world applications because they
can represent various relationships between different types of entities.
Therefore, learning embeddings in such graphs is a critical problem in graph
machine learning. However, existing solutions for this problem fail to scale to
large hetero... | [
{
"created": "Sun, 31 Mar 2024 22:22:10 GMT",
"version": "v1"
}
] | 2024-04-02 | [
[
"Zhang",
"Yue",
""
],
[
"He",
"Yuntian",
""
],
[
"Gurukar",
"Saket",
""
],
[
"Parthasarathy",
"Srinivasan",
""
]
] | Heterogeneous graphs are ubiquitous in real-world applications because they can represent various relationships between different types of entities. Therefore, learning embeddings in such graphs is a critical problem in graph machine learning. However, existing solutions for this problem fail to scale to large heteroge... |
1607.02660 | Amol Patwardhan | Amol Patwardhan and Gerald Knapp | Augmenting Supervised Emotion Recognition with Rule-Based Decision Model | 8 pages, 6 figures, 23 tables, IEEE TAC (in review) | null | null | null | cs.HC cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The aim of this research is development of rule based decision model for
emotion recognition. This research also proposes using the rules for augmenting
inter-corporal recognition accuracy in multimodal systems that use supervised
learning techniques. The classifiers for such learning based recognition
systems are su... | [
{
"created": "Sat, 9 Jul 2016 20:34:48 GMT",
"version": "v1"
}
] | 2016-07-12 | [
[
"Patwardhan",
"Amol",
""
],
[
"Knapp",
"Gerald",
""
]
] | The aim of this research is development of rule based decision model for emotion recognition. This research also proposes using the rules for augmenting inter-corporal recognition accuracy in multimodal systems that use supervised learning techniques. The classifiers for such learning based recognition systems are susc... |
2212.11363 | Shiyao Chen | Ruilin Ma, Shiyao Chen, Qin Zhang | Lightweight Monocular Depth Estimation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Monocular depth estimation can play an important role in addressing the issue
of deriving scene geometry from 2D images. It has been used in a variety of
industries, including robots, self-driving cars, scene comprehension, 3D
reconstructions, and others. The goal of our method is to create a lightweight
machine-lear... | [
{
"created": "Wed, 21 Dec 2022 21:05:16 GMT",
"version": "v1"
}
] | 2022-12-23 | [
[
"Ma",
"Ruilin",
""
],
[
"Chen",
"Shiyao",
""
],
[
"Zhang",
"Qin",
""
]
] | Monocular depth estimation can play an important role in addressing the issue of deriving scene geometry from 2D images. It has been used in a variety of industries, including robots, self-driving cars, scene comprehension, 3D reconstructions, and others. The goal of our method is to create a lightweight machine-learni... |
1708.03383 | Fangting Xia | Fangting Xia, Peng Wang, Xianjie Chen, Alan Yuille | Joint Multi-Person Pose Estimation and Semantic Part Segmentation | This paper has been accepted by CVPR 2017 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human pose estimation and semantic part segmentation are two complementary
tasks in computer vision. In this paper, we propose to solve the two tasks
jointly for natural multi-person images, in which the estimated pose provides
object-level shape prior to regularize part segments while the part-level
segments constra... | [
{
"created": "Thu, 10 Aug 2017 20:59:31 GMT",
"version": "v1"
}
] | 2017-08-14 | [
[
"Xia",
"Fangting",
""
],
[
"Wang",
"Peng",
""
],
[
"Chen",
"Xianjie",
""
],
[
"Yuille",
"Alan",
""
]
] | Human pose estimation and semantic part segmentation are two complementary tasks in computer vision. In this paper, we propose to solve the two tasks jointly for natural multi-person images, in which the estimated pose provides object-level shape prior to regularize part segments while the part-level segments constrain... |
1901.01877 | Siyao Li | Siyao Li, Daniela Tuninetti and Natasha Devroye | On the Capacity Region of the Layered Packet Erasure Broadcast Channel
with Feedback | 6 pages, 1 figure, submitted to 2019 IEEE International Conference on
Communications (ICC) | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, the capacity region of the Layered Packet Erasure Broadcast
Channel (LPE-BC) with Channel Output Feedback (COF) available at the
transmitter is investigated. The LPE-BC is a high-SNR approximation of the
fading Gaussian BC recently proposed by Tse and Yates, who characterized the
capacity region for an... | [
{
"created": "Mon, 7 Jan 2019 15:22:27 GMT",
"version": "v1"
}
] | 2019-01-08 | [
[
"Li",
"Siyao",
""
],
[
"Tuninetti",
"Daniela",
""
],
[
"Devroye",
"Natasha",
""
]
] | In this paper, the capacity region of the Layered Packet Erasure Broadcast Channel (LPE-BC) with Channel Output Feedback (COF) available at the transmitter is investigated. The LPE-BC is a high-SNR approximation of the fading Gaussian BC recently proposed by Tse and Yates, who characterized the capacity region for any ... |
2206.01820 | Timothy Zee | Timothy Zee, Alexander G. Ororbia, Ankur Mali, Ifeoma Nwogu | A Robust Backpropagation-Free Framework for Images | null | null | null | null | cs.NE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While current deep learning algorithms have been successful for a wide
variety of artificial intelligence (AI) tasks, including those involving
structured image data, they present deep neurophysiological conceptual issues
due to their reliance on the gradients that are computed by backpropagation of
errors (backprop)... | [
{
"created": "Fri, 3 Jun 2022 21:14:10 GMT",
"version": "v1"
},
{
"created": "Sun, 5 Nov 2023 18:59:55 GMT",
"version": "v2"
}
] | 2023-11-07 | [
[
"Zee",
"Timothy",
""
],
[
"Ororbia",
"Alexander G.",
""
],
[
"Mali",
"Ankur",
""
],
[
"Nwogu",
"Ifeoma",
""
]
] | While current deep learning algorithms have been successful for a wide variety of artificial intelligence (AI) tasks, including those involving structured image data, they present deep neurophysiological conceptual issues due to their reliance on the gradients that are computed by backpropagation of errors (backprop). ... |
2310.06157 | Daniel Kelshaw | Daniel Kelshaw, Luca Magri | Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on
Differentiable Manifolds | Accepted to NeurIPS 2023: Symmetry and Geometry in Neural
Representations Workshop | null | null | null | cs.CG cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Manifolds discovered by machine learning models provide a compact
representation of the underlying data. Geodesics on these manifolds define
locally length-minimising curves and provide a notion of distance, which are
key for reduced-order modelling, statistical inference, and interpolation. In
this work, we propose ... | [
{
"created": "Mon, 9 Oct 2023 21:11:13 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Nov 2023 17:18:22 GMT",
"version": "v2"
}
] | 2023-11-03 | [
[
"Kelshaw",
"Daniel",
""
],
[
"Magri",
"Luca",
""
]
] | Manifolds discovered by machine learning models provide a compact representation of the underlying data. Geodesics on these manifolds define locally length-minimising curves and provide a notion of distance, which are key for reduced-order modelling, statistical inference, and interpolation. In this work, we propose a ... |
1708.06145 | Emiliano De Cristofaro | Apostolos Pyrgelis and Carmela Troncoso and Emiliano De Cristofaro | Knock Knock, Who's There? Membership Inference on Aggregate Location
Data | null | Proceedings of the 25th Network and Distributed System Security
Symposium (NDSS 2018) | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Aggregate location data is often used to support smart services and
applications, e.g., generating live traffic maps or predicting visits to
businesses. In this paper, we present the first study on the feasibility of
membership inference attacks on aggregate location time-series. We introduce a
game-based definition ... | [
{
"created": "Mon, 21 Aug 2017 10:50:24 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Nov 2017 11:47:25 GMT",
"version": "v2"
}
] | 2017-11-30 | [
[
"Pyrgelis",
"Apostolos",
""
],
[
"Troncoso",
"Carmela",
""
],
[
"De Cristofaro",
"Emiliano",
""
]
] | Aggregate location data is often used to support smart services and applications, e.g., generating live traffic maps or predicting visits to businesses. In this paper, we present the first study on the feasibility of membership inference attacks on aggregate location time-series. We introduce a game-based definition of... |
1504.06543 | Sachio Hirokawa | Sachio Hirokawa and Eisuke Ito | Power Law and Entropy | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Shannon(1951) and Yavuz(1974) estimated the entropy of real documents. This
note drives an upper bound of entropy from the parameter of the power law.
| [
{
"created": "Wed, 22 Apr 2015 09:46:48 GMT",
"version": "v1"
}
] | 2015-04-27 | [
[
"Hirokawa",
"Sachio",
""
],
[
"Ito",
"Eisuke",
""
]
] | Shannon(1951) and Yavuz(1974) estimated the entropy of real documents. This note drives an upper bound of entropy from the parameter of the power law. |
2210.05158 | Tung Nguyen | Tung Nguyen, Qinqing Zheng, Aditya Grover | Reliable Conditioning of Behavioral Cloning for Offline Reinforcement
Learning | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Behavioral cloning (BC) provides a straightforward solution to offline RL by
mimicking offline trajectories via supervised learning. Recent advances (Chen
et al., 2021; Janner et al., 2021; Emmons et al., 2021) have shown that by
conditioning on desired future returns, BC can perform competitively to their
value-base... | [
{
"created": "Tue, 11 Oct 2022 05:37:22 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Feb 2023 19:38:58 GMT",
"version": "v2"
}
] | 2023-02-07 | [
[
"Nguyen",
"Tung",
""
],
[
"Zheng",
"Qinqing",
""
],
[
"Grover",
"Aditya",
""
]
] | Behavioral cloning (BC) provides a straightforward solution to offline RL by mimicking offline trajectories via supervised learning. Recent advances (Chen et al., 2021; Janner et al., 2021; Emmons et al., 2021) have shown that by conditioning on desired future returns, BC can perform competitively to their value-based ... |
1901.07656 | Sunipa Dev | Sunipa Dev, Jeff Phillips | Attenuating Bias in Word Vectors | To appear in AIStats 2019 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Word vector representations are well developed tools for various NLP and
Machine Learning tasks and are known to retain significant semantic and
syntactic structure of languages. But they are prone to carrying and amplifying
bias which can perpetrate discrimination in various applications. In this work,
we explore ne... | [
{
"created": "Wed, 23 Jan 2019 00:25:48 GMT",
"version": "v1"
}
] | 2019-01-24 | [
[
"Dev",
"Sunipa",
""
],
[
"Phillips",
"Jeff",
""
]
] | Word vector representations are well developed tools for various NLP and Machine Learning tasks and are known to retain significant semantic and syntactic structure of languages. But they are prone to carrying and amplifying bias which can perpetrate discrimination in various applications. In this work, we explore new ... |
2010.09054 | Raphael Koster | Raphael K\"oster, Kevin R. McKee, Richard Everett, Laura Weidinger,
William S. Isaac, Edward Hughes, Edgar A. Du\'e\~nez-Guzm\'an, Thore Graepel,
Matthew Botvinick and Joel Z. Leibo | Model-free conventions in multi-agent reinforcement learning with
heterogeneous preferences | null | null | null | null | cs.MA | http://creativecommons.org/publicdomain/zero/1.0/ | Game theoretic views of convention generally rest on notions of common
knowledge and hyper-rational models of individual behavior. However, decades of
work in behavioral economics have questioned the validity of both foundations.
Meanwhile, computational neuroscience has contributed a modernized 'dual
process' accoun... | [
{
"created": "Sun, 18 Oct 2020 18:18:37 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Dec 2020 18:11:52 GMT",
"version": "v2"
}
] | 2020-12-15 | [
[
"Köster",
"Raphael",
""
],
[
"McKee",
"Kevin R.",
""
],
[
"Everett",
"Richard",
""
],
[
"Weidinger",
"Laura",
""
],
[
"Isaac",
"William S.",
""
],
[
"Hughes",
"Edward",
""
],
[
"Duéñez-Guzmán",
"Edgar A.",
... | Game theoretic views of convention generally rest on notions of common knowledge and hyper-rational models of individual behavior. However, decades of work in behavioral economics have questioned the validity of both foundations. Meanwhile, computational neuroscience has contributed a modernized 'dual process' account ... |
1709.02343 | Arnab Bhattacharya | Shubhadip Mitra, Priya Saraf, Arnab Bhattacharya | TIPS: Mining Top-K Locations to Minimize User-Inconvenience for
Trajectory-Aware Services | null | TKDE, 2019 | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Facility location problems aim to identify the best locations to set up new
services. Majority of the existing works typically assume that the users are
static. However, there exists a wide array of services such as fuel stations,
ATMs, food joints, etc., that are widely accessed by mobile users besides the
static on... | [
{
"created": "Thu, 7 Sep 2017 16:40:20 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Sep 2017 07:55:13 GMT",
"version": "v2"
},
{
"created": "Fri, 2 Aug 2019 04:38:02 GMT",
"version": "v3"
}
] | 2019-08-05 | [
[
"Mitra",
"Shubhadip",
""
],
[
"Saraf",
"Priya",
""
],
[
"Bhattacharya",
"Arnab",
""
]
] | Facility location problems aim to identify the best locations to set up new services. Majority of the existing works typically assume that the users are static. However, there exists a wide array of services such as fuel stations, ATMs, food joints, etc., that are widely accessed by mobile users besides the static ones... |
1901.00204 | Ramin Hasibi | Ramin Hasibi, Matin Shokri, Mehdi Dehghan | Augmentation Scheme for Dealing with Imbalanced Network Traffic
Classification Using Deep Learning | Submitted to IFIP Networking 2019 | null | null | null | cs.NI cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the most important tasks in network management is identifying
different types of traffic flows. As a result, a type of management service,
called Network Traffic Classifier (NTC), has been introduced. One type of NTCs
that has gained huge attention in recent years applies deep learning on packets
in order to c... | [
{
"created": "Tue, 1 Jan 2019 20:02:38 GMT",
"version": "v1"
}
] | 2019-01-03 | [
[
"Hasibi",
"Ramin",
""
],
[
"Shokri",
"Matin",
""
],
[
"Dehghan",
"Mehdi",
""
]
] | One of the most important tasks in network management is identifying different types of traffic flows. As a result, a type of management service, called Network Traffic Classifier (NTC), has been introduced. One type of NTCs that has gained huge attention in recent years applies deep learning on packets in order to cla... |
cs/0610139 | Anant Sahai | Anant Sahai | How to beat the sphere-packing bound with feedback | 9 pages, 3 figures, corrected typos and increased font size.
Submitted to IT Transactions | null | null | null | cs.IT math.IT | null | The sphere-packing bound $E_{sp}(R)$ bounds the reliability function for
fixed-length block-codes. For symmetric channels, it remains a valid bound even
when strictly causal noiseless feedback is allowed from the decoder to the
encoder. To beat the bound, the problem must be changed. While it has long been
known that... | [
{
"created": "Tue, 24 Oct 2006 14:10:09 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Oct 2006 16:10:37 GMT",
"version": "v2"
}
] | 2007-07-13 | [
[
"Sahai",
"Anant",
""
]
] | The sphere-packing bound $E_{sp}(R)$ bounds the reliability function for fixed-length block-codes. For symmetric channels, it remains a valid bound even when strictly causal noiseless feedback is allowed from the decoder to the encoder. To beat the bound, the problem must be changed. While it has long been known that v... |
2407.03240 | Mingzhe Guo | Mingzhe Guo, Zhipeng Zhang, Liping Jing, Yuan He, Ke Wang, Heng Fan | Cyclic Refiner: Object-Aware Temporal Representation Learning for
Multi-View 3D Detection and Tracking | Accepted by IJCV | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We propose a unified object-aware temporal learning framework for multi-view
3D detection and tracking tasks. Having observed that the efficacy of the
temporal fusion strategy in recent multi-view perception methods may be
weakened by distractors and background clutters in historical frames, we
propose a cyclic learn... | [
{
"created": "Wed, 3 Jul 2024 16:10:19 GMT",
"version": "v1"
}
] | 2024-07-04 | [
[
"Guo",
"Mingzhe",
""
],
[
"Zhang",
"Zhipeng",
""
],
[
"Jing",
"Liping",
""
],
[
"He",
"Yuan",
""
],
[
"Wang",
"Ke",
""
],
[
"Fan",
"Heng",
""
]
] | We propose a unified object-aware temporal learning framework for multi-view 3D detection and tracking tasks. Having observed that the efficacy of the temporal fusion strategy in recent multi-view perception methods may be weakened by distractors and background clutters in historical frames, we propose a cyclic learnin... |
2111.01008 | Filipe de Avila Belbute-Peres | Filipe de Avila Belbute-Peres, Yi-fan Chen, Fei Sha | HyperPINN: Learning parameterized differential equations with
physics-informed hypernetworks | null | null | null | null | cs.LG physics.comp-ph | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Many types of physics-informed neural network models have been proposed in
recent years as approaches for learning solutions to differential equations.
When a particular task requires solving a differential equation at multiple
parameterizations, this requires either re-training the model, or expanding its
representa... | [
{
"created": "Thu, 28 Oct 2021 17:50:09 GMT",
"version": "v1"
}
] | 2021-11-02 | [
[
"Belbute-Peres",
"Filipe de Avila",
""
],
[
"Chen",
"Yi-fan",
""
],
[
"Sha",
"Fei",
""
]
] | Many types of physics-informed neural network models have been proposed in recent years as approaches for learning solutions to differential equations. When a particular task requires solving a differential equation at multiple parameterizations, this requires either re-training the model, or expanding its representati... |
2401.17373 | Khadejaa Alshehri | Khadejaa Alshehri, Areej Alhothali and Nahed Alowidi | Arabic Tweet Act: A Weighted Ensemble Pre-Trained Transformer Model for
Classifying Arabic Speech Acts on Twitter | 16 pages, 6 figures | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Speech acts are a speakers actions when performing an utterance within a
conversation, such as asking, recommending, greeting, or thanking someone,
expressing a thought, or making a suggestion. Understanding speech acts helps
interpret the intended meaning and actions behind a speakers or writers words.
This paper pr... | [
{
"created": "Tue, 30 Jan 2024 19:01:24 GMT",
"version": "v1"
}
] | 2024-02-01 | [
[
"Alshehri",
"Khadejaa",
""
],
[
"Alhothali",
"Areej",
""
],
[
"Alowidi",
"Nahed",
""
]
] | Speech acts are a speakers actions when performing an utterance within a conversation, such as asking, recommending, greeting, or thanking someone, expressing a thought, or making a suggestion. Understanding speech acts helps interpret the intended meaning and actions behind a speakers or writers words. This paper prop... |
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