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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2307.13714 | G\'abor Bella | Paula Helm, G\'abor Bella, Gertraud Koch, Fausto Giunchiglia | Diversity and Language Technology: How Techno-Linguistic Bias Can Cause
Epistemic Injustice | arXiv admin note: text overlap with arXiv:2307.13405 | null | null | null | cs.CY cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | It is well known that AI-based language technology -- large language models,
machine translation systems, multilingual dictionaries, and corpora -- is
currently limited to 2 to 3 percent of the world's most widely spoken and/or
financially and politically best supported languages. In response, recent
research efforts... | [
{
"created": "Tue, 25 Jul 2023 16:08:27 GMT",
"version": "v1"
}
] | 2023-07-27 | [
[
"Helm",
"Paula",
""
],
[
"Bella",
"Gábor",
""
],
[
"Koch",
"Gertraud",
""
],
[
"Giunchiglia",
"Fausto",
""
]
] | It is well known that AI-based language technology -- large language models, machine translation systems, multilingual dictionaries, and corpora -- is currently limited to 2 to 3 percent of the world's most widely spoken and/or financially and politically best supported languages. In response, recent research efforts h... |
2405.16923 | Butian Xiong | Butian Xiong, Xiaoyu Ye, Tze Ho Elden Tse, Kai Han, Shuguang Cui, Zhen
Li | SA-GS: Semantic-Aware Gaussian Splatting for Large Scene Reconstruction
with Geometry Constrain | Might need more comparison, will be add later | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | With the emergence of Gaussian Splats, recent efforts have focused on
large-scale scene geometric reconstruction. However, most of these efforts
either concentrate on memory reduction or spatial space division, neglecting
information in the semantic space. In this paper, we propose a novel method,
named SA-GS, for fi... | [
{
"created": "Mon, 27 May 2024 08:15:10 GMT",
"version": "v1"
},
{
"created": "Tue, 28 May 2024 09:57:56 GMT",
"version": "v2"
}
] | 2024-05-29 | [
[
"Xiong",
"Butian",
""
],
[
"Ye",
"Xiaoyu",
""
],
[
"Tse",
"Tze Ho Elden",
""
],
[
"Han",
"Kai",
""
],
[
"Cui",
"Shuguang",
""
],
[
"Li",
"Zhen",
""
]
] | With the emergence of Gaussian Splats, recent efforts have focused on large-scale scene geometric reconstruction. However, most of these efforts either concentrate on memory reduction or spatial space division, neglecting information in the semantic space. In this paper, we propose a novel method, named SA-GS, for fine... |
2110.15016 | Hao Zhou | Hao Zhou, Dongchun Ren, Xu Yang, Mingyu Fan, Hai Huang | Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for
Trajectory Prediction | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Pedestrian trajectory prediction is a key technology in many applications
such as video surveillance, social robot navigation, and autonomous driving,
and significant progress has been made in this research topic. However, there
remain two limitations of previous studies. First, with the continuation of
time, the pre... | [
{
"created": "Thu, 28 Oct 2021 10:56:21 GMT",
"version": "v1"
}
] | 2021-10-29 | [
[
"Zhou",
"Hao",
""
],
[
"Ren",
"Dongchun",
""
],
[
"Yang",
"Xu",
""
],
[
"Fan",
"Mingyu",
""
],
[
"Huang",
"Hai",
""
]
] | Pedestrian trajectory prediction is a key technology in many applications such as video surveillance, social robot navigation, and autonomous driving, and significant progress has been made in this research topic. However, there remain two limitations of previous studies. First, with the continuation of time, the predi... |
2407.16903 | Akash Wasil | Akash Wasil, Tim Durgin | US-China perspectives on extreme AI risks and global governance | null | null | null | null | cs.CY cs.AI | http://creativecommons.org/licenses/by/4.0/ | The United States and China will play an important role in navigating safety
and security challenges relating to advanced artificial intelligence. We sought
to better understand how experts in each country describe safety and security
threats from advanced artificial intelligence, extreme risks from AI, and the
poten... | [
{
"created": "Sun, 23 Jun 2024 17:31:27 GMT",
"version": "v1"
}
] | 2024-07-25 | [
[
"Wasil",
"Akash",
""
],
[
"Durgin",
"Tim",
""
]
] | The United States and China will play an important role in navigating safety and security challenges relating to advanced artificial intelligence. We sought to better understand how experts in each country describe safety and security threats from advanced artificial intelligence, extreme risks from AI, and the potenti... |
2210.03945 | Izzeddin Gur | Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin
Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust | Understanding HTML with Large Language Models | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) have shown exceptional performance on a variety
of natural language tasks. Yet, their capabilities for HTML understanding --
i.e., parsing the raw HTML of a webpage, with applications to automation of
web-based tasks, crawling, and browser-assisted retrieval -- have not been
fully explore... | [
{
"created": "Sat, 8 Oct 2022 07:27:17 GMT",
"version": "v1"
},
{
"created": "Fri, 19 May 2023 17:42:56 GMT",
"version": "v2"
}
] | 2023-05-22 | [
[
"Gur",
"Izzeddin",
""
],
[
"Nachum",
"Ofir",
""
],
[
"Miao",
"Yingjie",
""
],
[
"Safdari",
"Mustafa",
""
],
[
"Huang",
"Austin",
""
],
[
"Chowdhery",
"Aakanksha",
""
],
[
"Narang",
"Sharan",
""
],
[
... | Large language models (LLMs) have shown exceptional performance on a variety of natural language tasks. Yet, their capabilities for HTML understanding -- i.e., parsing the raw HTML of a webpage, with applications to automation of web-based tasks, crawling, and browser-assisted retrieval -- have not been fully explored.... |
1905.10672 | Anagha Kulkarni | Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati | Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal
Obfuscation and Goal Legibility | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to be useful in the real world, AI agents need to plan and act in
the presence of others, who may include adversarial and cooperative entities.
In this paper, we consider the problem where an autonomous agent needs to act
in a manner that clarifies its objectives to cooperative entities while
preventing adve... | [
{
"created": "Sat, 25 May 2019 20:56:07 GMT",
"version": "v1"
},
{
"created": "Fri, 24 Jan 2020 00:06:56 GMT",
"version": "v2"
}
] | 2020-01-27 | [
[
"Kulkarni",
"Anagha",
""
],
[
"Srivastava",
"Siddharth",
""
],
[
"Kambhampati",
"Subbarao",
""
]
] | In order to be useful in the real world, AI agents need to plan and act in the presence of others, who may include adversarial and cooperative entities. In this paper, we consider the problem where an autonomous agent needs to act in a manner that clarifies its objectives to cooperative entities while preventing advers... |
2011.11985 | Mingrui Liu | Mingrui Liu, Wei Zhang, Francesco Orabona, Tianbao Yang | Adam$^+$: A Stochastic Method with Adaptive Variance Reduction | null | null | null | null | cs.LG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Adam is a widely used stochastic optimization method for deep learning
applications. While practitioners prefer Adam because it requires less
parameter tuning, its use is problematic from a theoretical point of view since
it may not converge. Variants of Adam have been proposed with provable
convergence guarantee, bu... | [
{
"created": "Tue, 24 Nov 2020 09:28:53 GMT",
"version": "v1"
}
] | 2020-11-25 | [
[
"Liu",
"Mingrui",
""
],
[
"Zhang",
"Wei",
""
],
[
"Orabona",
"Francesco",
""
],
[
"Yang",
"Tianbao",
""
]
] | Adam is a widely used stochastic optimization method for deep learning applications. While practitioners prefer Adam because it requires less parameter tuning, its use is problematic from a theoretical point of view since it may not converge. Variants of Adam have been proposed with provable convergence guarantee, but ... |
2404.08977 | Jian Yang | Shun Zhang, Chaoran Yan, Jian Yang, Changyu Ren, Jiaqi Bai, Tongliang
Li, Zhoujun Li | RoNID: New Intent Discovery with Generated-Reliable Labels and
Cluster-friendly Representations | DASFAA 2024 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | New Intent Discovery (NID) strives to identify known and reasonably deduce
novel intent groups in the open-world scenario. But current methods face issues
with inaccurate pseudo-labels and poor representation learning, creating a
negative feedback loop that degrades overall model performance, including
accuracy and t... | [
{
"created": "Sat, 13 Apr 2024 11:58:28 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Apr 2024 06:54:55 GMT",
"version": "v2"
}
] | 2024-04-19 | [
[
"Zhang",
"Shun",
""
],
[
"Yan",
"Chaoran",
""
],
[
"Yang",
"Jian",
""
],
[
"Ren",
"Changyu",
""
],
[
"Bai",
"Jiaqi",
""
],
[
"Li",
"Tongliang",
""
],
[
"Li",
"Zhoujun",
""
]
] | New Intent Discovery (NID) strives to identify known and reasonably deduce novel intent groups in the open-world scenario. But current methods face issues with inaccurate pseudo-labels and poor representation learning, creating a negative feedback loop that degrades overall model performance, including accuracy and the... |
2407.09854 | Zhichao Fang | Zhichao Fang, Jonathan Dudek, Ed Noyons, Rodrigo Costas | Science cited in policy documents: Evidence from the Overton database | The 2020 Altmetric Conference | null | null | null | cs.DL | http://creativecommons.org/licenses/by/4.0/ | To reflect the extent to which science is cited in policy documents, this
paper explores the presence of policy document citations for over 18 million
Web of Science-indexed publications published between 2010 and 2019. Enabled by
the policy document citation data provided by Overton, a searchable index of
policy doc... | [
{
"created": "Sat, 13 Jul 2024 11:23:12 GMT",
"version": "v1"
}
] | 2024-07-16 | [
[
"Fang",
"Zhichao",
""
],
[
"Dudek",
"Jonathan",
""
],
[
"Noyons",
"Ed",
""
],
[
"Costas",
"Rodrigo",
""
]
] | To reflect the extent to which science is cited in policy documents, this paper explores the presence of policy document citations for over 18 million Web of Science-indexed publications published between 2010 and 2019. Enabled by the policy document citation data provided by Overton, a searchable index of policy docum... |
1111.7165 | Sayan Ranu | Sayan Ranu, Ambuj K. Singh | Answering Top-k Queries Over a Mixture of Attractive and Repulsive
Dimensions | VLDB2012 | Proceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 3, pp.
169-180 (2011) | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we formulate a top-k query that compares objects in a database
to a user-provided query object on a novel scoring function. The proposed
scoring function combines the idea of attractive and repulsive dimensions into
a general framework to overcome the weakness of traditional distance or
similarity meas... | [
{
"created": "Wed, 30 Nov 2011 14:09:11 GMT",
"version": "v1"
}
] | 2011-12-01 | [
[
"Ranu",
"Sayan",
""
],
[
"Singh",
"Ambuj K.",
""
]
] | In this paper, we formulate a top-k query that compares objects in a database to a user-provided query object on a novel scoring function. The proposed scoring function combines the idea of attractive and repulsive dimensions into a general framework to overcome the weakness of traditional distance or similarity measur... |
2109.04023 | Ken Jen Lee | Ken Jen Lee and Edith Law | Rethinking Immersive Virtual Reality and Empathy | 4 pages, ACM CSCW 2021 workshop, arttech: Performance and Embodiment
in Technology for Resilience and Mental Health | null | null | null | cs.HC cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this position paper, we aim to spark more discussions surrounding the use
of empathy as the intended outcome of many studies on immersive virtual reality
experiences. As a construct, empathy has many significant flaws that may lead
to unintended and negative outcomes, going against our original goal of
employing t... | [
{
"created": "Thu, 9 Sep 2021 03:52:04 GMT",
"version": "v1"
}
] | 2021-09-10 | [
[
"Lee",
"Ken Jen",
""
],
[
"Law",
"Edith",
""
]
] | In this position paper, we aim to spark more discussions surrounding the use of empathy as the intended outcome of many studies on immersive virtual reality experiences. As a construct, empathy has many significant flaws that may lead to unintended and negative outcomes, going against our original goal of employing the... |
1901.08255 | Shikhar Vashishth | Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha Talukdar | Confidence-based Graph Convolutional Networks for Semi-Supervised
Learning | Accepted at AISTATS 2019 | null | null | null | cs.LG cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Predicting properties of nodes in a graph is an important problem with
applications in a variety of domains. Graph-based Semi-Supervised Learning
(SSL) methods aim to address this problem by labeling a small subset of the
nodes as seeds and then utilizing the graph structure to predict label scores
for the rest of th... | [
{
"created": "Thu, 24 Jan 2019 06:59:05 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Feb 2019 04:16:31 GMT",
"version": "v2"
}
] | 2019-02-13 | [
[
"Vashishth",
"Shikhar",
""
],
[
"Yadav",
"Prateek",
""
],
[
"Bhandari",
"Manik",
""
],
[
"Talukdar",
"Partha",
""
]
] | Predicting properties of nodes in a graph is an important problem with applications in a variety of domains. Graph-based Semi-Supervised Learning (SSL) methods aim to address this problem by labeling a small subset of the nodes as seeds and then utilizing the graph structure to predict label scores for the rest of the ... |
1910.07755 | Hufei Zhu | Hufei Zhu, Zhulin Liu, C. L. Philip Chen and Yanyang Liang | Reducing the Computational Complexity of Pseudoinverse for the
Incremental Broad Learning System on Added Inputs | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this brief, we improve the Broad Learning System (BLS) [7] by reducing the
computational complexity of the incremental learning for added inputs. We
utilize the inverse of a sum of matrices in [8] to improve a step in the
pseudoinverse of a row-partitioned matrix. Accordingly we propose two fast
algorithms for the... | [
{
"created": "Thu, 17 Oct 2019 07:58:15 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Nov 2022 11:44:08 GMT",
"version": "v2"
}
] | 2022-11-21 | [
[
"Zhu",
"Hufei",
""
],
[
"Liu",
"Zhulin",
""
],
[
"Chen",
"C. L. Philip",
""
],
[
"Liang",
"Yanyang",
""
]
] | In this brief, we improve the Broad Learning System (BLS) [7] by reducing the computational complexity of the incremental learning for added inputs. We utilize the inverse of a sum of matrices in [8] to improve a step in the pseudoinverse of a row-partitioned matrix. Accordingly we propose two fast algorithms for the c... |
2405.15832 | \'Alvaro Huertas-Garc\'ia | \'Alvaro Huertas-Garc\'ia, Javier Mu\~noz, Enrique De Miguel Ambite,
Marcos Avil\'es Camarmas, Jos\'e F\'elix Ovejero | DETECTA 2.0: Research into non-intrusive methodologies supported by
Industry 4.0 enabling technologies for predictive and cyber-secure
maintenance in SMEs | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | The integration of predictive maintenance and cybersecurity represents a
transformative advancement for small and medium-sized enterprises (SMEs)
operating within the Industry 4.0 paradigm. Despite their economic importance,
SMEs often face significant challenges in adopting advanced technologies due to
resource cons... | [
{
"created": "Fri, 24 May 2024 08:38:38 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Huertas-García",
"Álvaro",
""
],
[
"Muñoz",
"Javier",
""
],
[
"Ambite",
"Enrique De Miguel",
""
],
[
"Camarmas",
"Marcos Avilés",
""
],
[
"Ovejero",
"José Félix",
""
]
] | The integration of predictive maintenance and cybersecurity represents a transformative advancement for small and medium-sized enterprises (SMEs) operating within the Industry 4.0 paradigm. Despite their economic importance, SMEs often face significant challenges in adopting advanced technologies due to resource constr... |
2002.03213 | Marco Molinaro | Marco Molinaro | Curvature of Feasible Sets in Offline and Online Optimization | null | null | null | null | cs.DS math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is known that the curvature of the feasible set in convex optimization
allows for algorithms with better convergence rates, and there has been renewed
interest in this topic both for offline as well as online problems. In this
paper, leveraging results on geometry and convex analysis, we further our
understanding ... | [
{
"created": "Sat, 8 Feb 2020 18:10:20 GMT",
"version": "v1"
},
{
"created": "Tue, 11 May 2021 02:05:14 GMT",
"version": "v2"
}
] | 2021-05-12 | [
[
"Molinaro",
"Marco",
""
]
] | It is known that the curvature of the feasible set in convex optimization allows for algorithms with better convergence rates, and there has been renewed interest in this topic both for offline as well as online problems. In this paper, leveraging results on geometry and convex analysis, we further our understanding of... |
2406.12588 | Jirui Yang | Jirui Yang, Peng Chen, Zhihui Lu, Qiang Duan, Yubing Bao | UIFV: Data Reconstruction Attack in Vertical Federated Learning | null | null | null | null | cs.LG cs.AI cs.CR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vertical Federated Learning (VFL) facilitates collaborative machine learning
without the need for participants to share raw private data. However, recent
studies have revealed privacy risks where adversaries might reconstruct
sensitive features through data leakage during the learning process. Although
data reconstru... | [
{
"created": "Tue, 18 Jun 2024 13:18:52 GMT",
"version": "v1"
}
] | 2024-06-21 | [
[
"Yang",
"Jirui",
""
],
[
"Chen",
"Peng",
""
],
[
"Lu",
"Zhihui",
""
],
[
"Duan",
"Qiang",
""
],
[
"Bao",
"Yubing",
""
]
] | Vertical Federated Learning (VFL) facilitates collaborative machine learning without the need for participants to share raw private data. However, recent studies have revealed privacy risks where adversaries might reconstruct sensitive features through data leakage during the learning process. Although data reconstruct... |
1007.4955 | Liangzhong Ruan | Liangzhong Ruan, Vincent K.N. Lau | Decentralized Dynamic Hop Selection and Power Control in Cognitive
Multi-hop Relay Systems | null | null | 10.1109/TWC.2010.081610.081319 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider a cognitive multi-hop relay secondary user (SU)
system sharing the spectrum with some primary users (PU). The transmit power as
well as the hop selection of the cognitive relays can be dynamically adapted
according to the local (and causal) knowledge of the instantaneous channel
state infor... | [
{
"created": "Wed, 28 Jul 2010 13:09:44 GMT",
"version": "v1"
}
] | 2013-08-01 | [
[
"Ruan",
"Liangzhong",
""
],
[
"Lau",
"Vincent K. N.",
""
]
] | In this paper, we consider a cognitive multi-hop relay secondary user (SU) system sharing the spectrum with some primary users (PU). The transmit power as well as the hop selection of the cognitive relays can be dynamically adapted according to the local (and causal) knowledge of the instantaneous channel state informa... |
1712.04853 | Sariya Karimova | Sariya Karimova, Patrick Simianer and Stefan Riezler (Heidelberg
University) | A User-Study on Online Adaptation of Neural Machine Translation to Human
Post-Edits | Accepted at Machine Translation Journal | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The advantages of neural machine translation (NMT) have been extensively
validated for offline translation of several language pairs for different
domains of spoken and written language. However, research on interactive
learning of NMT by adaptation to human post-edits has so far been confined to
simulation experimen... | [
{
"created": "Wed, 13 Dec 2017 16:41:08 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Mar 2018 15:08:40 GMT",
"version": "v2"
},
{
"created": "Tue, 18 Sep 2018 12:32:29 GMT",
"version": "v3"
}
] | 2018-09-19 | [
[
"Karimova",
"Sariya",
"",
"Heidelberg\n University"
],
[
"Simianer",
"Patrick",
"",
"Heidelberg\n University"
],
[
"Riezler",
"Stefan",
"",
"Heidelberg\n University"
]
] | The advantages of neural machine translation (NMT) have been extensively validated for offline translation of several language pairs for different domains of spoken and written language. However, research on interactive learning of NMT by adaptation to human post-edits has so far been confined to simulation experiments... |
2212.00539 | Rahul Sharma | Rahul Sharma and Shrikanth Narayanan | Audio-Visual Activity Guided Cross-Modal Identity Association for Active
Speaker Detection | Under review at OJSP | null | null | null | cs.MM cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Active speaker detection in videos addresses associating a source face,
visible in the video frames, with the underlying speech in the audio modality.
The two primary sources of information to derive such a speech-face
relationship are i) visual activity and its interaction with the speech signal
and ii) co-occurrenc... | [
{
"created": "Thu, 1 Dec 2022 14:46:00 GMT",
"version": "v1"
}
] | 2022-12-02 | [
[
"Sharma",
"Rahul",
""
],
[
"Narayanan",
"Shrikanth",
""
]
] | Active speaker detection in videos addresses associating a source face, visible in the video frames, with the underlying speech in the audio modality. The two primary sources of information to derive such a speech-face relationship are i) visual activity and its interaction with the speech signal and ii) co-occurrences... |
1607.08311 | Atsushi Iwasaki | Atsushi Iwasaki, Ken Umeno | Further improving security of Vector Stream Cipher | null | null | null | null | cs.IT math.IT nlin.CD | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vector Stream Cipher (VSC) is a stream cipher which consists of permutation
polynomial over a ring of modulo $2^w$. The algorithm for generating key stream
is very simple and the encryption is very fast. Some theoretical attacks for
VSC have been reported so far since the invention of VSC in 2004. Then, the
authors p... | [
{
"created": "Thu, 28 Jul 2016 04:31:24 GMT",
"version": "v1"
},
{
"created": "Sun, 6 Nov 2016 10:10:19 GMT",
"version": "v2"
}
] | 2016-11-08 | [
[
"Iwasaki",
"Atsushi",
""
],
[
"Umeno",
"Ken",
""
]
] | Vector Stream Cipher (VSC) is a stream cipher which consists of permutation polynomial over a ring of modulo $2^w$. The algorithm for generating key stream is very simple and the encryption is very fast. Some theoretical attacks for VSC have been reported so far since the invention of VSC in 2004. Then, the authors pro... |
2205.09628 | Richard Nock | Yishay Mansour and Richard Nock and Robert C. Williamson | What killed the Convex Booster ? | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | A landmark negative result of Long and Servedio established a worst-case
spectacular failure of a supervised learning trio (loss, algorithm, model)
otherwise praised for its high precision machinery. Hundreds of papers followed
up on the two suspected culprits: the loss (for being convex) and/or the
algorithm (for fi... | [
{
"created": "Thu, 19 May 2022 15:42:20 GMT",
"version": "v1"
},
{
"created": "Wed, 25 May 2022 13:15:52 GMT",
"version": "v2"
}
] | 2022-05-26 | [
[
"Mansour",
"Yishay",
""
],
[
"Nock",
"Richard",
""
],
[
"Williamson",
"Robert C.",
""
]
] | A landmark negative result of Long and Servedio established a worst-case spectacular failure of a supervised learning trio (loss, algorithm, model) otherwise praised for its high precision machinery. Hundreds of papers followed up on the two suspected culprits: the loss (for being convex) and/or the algorithm (for fitt... |
1811.03136 | Essaid Sabir | Sara Handouf and Essaid Sabir | Strategic Availability and Cost Effective UAV-based Flying Access
Networks: S-Modular Game Analysis | 10 pages, 14 figures | null | null | null | cs.GT cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Telecommunication service providers deploy UAVs to provide flying network
access in remote rural areas, disaster-affected areas or massive-attended
events (sport venues, festivals, etc.) where full set-up to provide temporary
wireless coverage would be very expensive. Of course, a UAV is battery-powered
which means l... | [
{
"created": "Wed, 7 Nov 2018 20:25:29 GMT",
"version": "v1"
}
] | 2018-11-09 | [
[
"Handouf",
"Sara",
""
],
[
"Sabir",
"Essaid",
""
]
] | Telecommunication service providers deploy UAVs to provide flying network access in remote rural areas, disaster-affected areas or massive-attended events (sport venues, festivals, etc.) where full set-up to provide temporary wireless coverage would be very expensive. Of course, a UAV is battery-powered which means lim... |
2205.09875 | James Smith | James Seale Smith, Zachary Seymour, Han-Pang Chiu | Incremental Learning with Differentiable Architecture and Forgetting
Search | Accepted by the 2022 International Joint Conference on Neural
Networks (IJCNN 2022) | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As progress is made on training machine learning models on incrementally
expanding classification tasks (i.e., incremental learning), a next step is to
translate this progress to industry expectations. One technique missing from
incremental learning is automatic architecture design via Neural Architecture
Search (NAS... | [
{
"created": "Thu, 19 May 2022 21:47:26 GMT",
"version": "v1"
}
] | 2022-05-23 | [
[
"Smith",
"James Seale",
""
],
[
"Seymour",
"Zachary",
""
],
[
"Chiu",
"Han-Pang",
""
]
] | As progress is made on training machine learning models on incrementally expanding classification tasks (i.e., incremental learning), a next step is to translate this progress to industry expectations. One technique missing from incremental learning is automatic architecture design via Neural Architecture Search (NAS).... |
1904.07998 | Yue Zhao | Colin Wan, Zheng Li, Alicia Guo, Yue Zhao | SynC: A Unified Framework for Generating Synthetic Population with
Gaussian Copula | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Synthetic population generation is the process of combining multiple
socioeconomic and demographic datasets from different sources and/or
granularity levels, and downscaling them to an individual level. Although it is
a fundamental step for many data science tasks, an efficient and standard
framework is absent. In th... | [
{
"created": "Tue, 16 Apr 2019 22:10:19 GMT",
"version": "v1"
},
{
"created": "Mon, 11 Nov 2019 01:48:59 GMT",
"version": "v2"
}
] | 2019-11-12 | [
[
"Wan",
"Colin",
""
],
[
"Li",
"Zheng",
""
],
[
"Guo",
"Alicia",
""
],
[
"Zhao",
"Yue",
""
]
] | Synthetic population generation is the process of combining multiple socioeconomic and demographic datasets from different sources and/or granularity levels, and downscaling them to an individual level. Although it is a fundamental step for many data science tasks, an efficient and standard framework is absent. In this... |
2104.11543 | Nianchang Huang | Nianchang Huang, Qiang Zhang, Jungong Han | Middle-level Fusion for Lightweight RGB-D Salient Object Detection | 11 pages, 6 figures | null | 10.1109/TIP.2022.3214092 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Most existing lightweight RGB-D salient object detection (SOD) models are
based on two-stream structure or single-stream structure. The former one first
uses two sub-networks to extract unimodal features from RGB and depth images,
respectively, and then fuses them for SOD. While, the latter one directly
extracts mult... | [
{
"created": "Fri, 23 Apr 2021 11:37:15 GMT",
"version": "v1"
},
{
"created": "Thu, 6 May 2021 08:15:32 GMT",
"version": "v2"
},
{
"created": "Sat, 5 Jun 2021 09:50:02 GMT",
"version": "v3"
}
] | 2022-11-23 | [
[
"Huang",
"Nianchang",
""
],
[
"Zhang",
"Qiang",
""
],
[
"Han",
"Jungong",
""
]
] | Most existing lightweight RGB-D salient object detection (SOD) models are based on two-stream structure or single-stream structure. The former one first uses two sub-networks to extract unimodal features from RGB and depth images, respectively, and then fuses them for SOD. While, the latter one directly extracts multi-... |
2107.08617 | Lei Zhang | Lei Zhang, Yong Cui, Mowei Wang, Kewei Zhu, Yibo Zhu and Yong Jiang | DeepCC: Bridging the Gap Between Congestion Control and Applications via
Multi-Objective Optimization | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The increasingly complicated and diverse applications have distinct network
performance demands, e.g., some desire high throughput while others require low
latency. Traditional congestion controls (CC) have no perception of these
demands. Consequently, literatures have explored the objective-specific
algorithms, whic... | [
{
"created": "Mon, 19 Jul 2021 05:30:40 GMT",
"version": "v1"
}
] | 2021-07-20 | [
[
"Zhang",
"Lei",
""
],
[
"Cui",
"Yong",
""
],
[
"Wang",
"Mowei",
""
],
[
"Zhu",
"Kewei",
""
],
[
"Zhu",
"Yibo",
""
],
[
"Jiang",
"Yong",
""
]
] | The increasingly complicated and diverse applications have distinct network performance demands, e.g., some desire high throughput while others require low latency. Traditional congestion controls (CC) have no perception of these demands. Consequently, literatures have explored the objective-specific algorithms, which ... |
2102.03585 | Salar Fattahi | Salar Fattahi and Andres Gomez | Scalable Inference of Sparsely-changing Markov Random Fields with Strong
Statistical Guarantees | null | null | null | null | cs.LG stat.CO stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the problem of inferring time-varying Markov random
fields (MRF), where the underlying graphical model is both sparse and changes
sparsely over time. Most of the existing methods for the inference of
time-varying MRFs rely on the regularized maximum likelihood estimation (MLE),
that typically ... | [
{
"created": "Sat, 6 Feb 2021 13:53:00 GMT",
"version": "v1"
}
] | 2021-02-09 | [
[
"Fattahi",
"Salar",
""
],
[
"Gomez",
"Andres",
""
]
] | In this paper, we study the problem of inferring time-varying Markov random fields (MRF), where the underlying graphical model is both sparse and changes sparsely over time. Most of the existing methods for the inference of time-varying MRFs rely on the regularized maximum likelihood estimation (MLE), that typically su... |
1610.05492 | Jakub Kone\v{c}n\'y | Jakub Kone\v{c}n\'y, H. Brendan McMahan, Felix X. Yu, Peter
Richt\'arik, Ananda Theertha Suresh, Dave Bacon | Federated Learning: Strategies for Improving Communication Efficiency | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated Learning is a machine learning setting where the goal is to train a
high-quality centralized model while training data remains distributed over a
large number of clients each with unreliable and relatively slow network
connections. We consider learning algorithms for this setting where on each
round, each c... | [
{
"created": "Tue, 18 Oct 2016 09:11:51 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Oct 2017 20:52:14 GMT",
"version": "v2"
}
] | 2017-11-01 | [
[
"Konečný",
"Jakub",
""
],
[
"McMahan",
"H. Brendan",
""
],
[
"Yu",
"Felix X.",
""
],
[
"Richtárik",
"Peter",
""
],
[
"Suresh",
"Ananda Theertha",
""
],
[
"Bacon",
"Dave",
""
]
] | Federated Learning is a machine learning setting where the goal is to train a high-quality centralized model while training data remains distributed over a large number of clients each with unreliable and relatively slow network connections. We consider learning algorithms for this setting where on each round, each cli... |
1910.08964 | Fabio Massimo Zennaro | Fabio Massimo Zennaro, Ke Chen | Towards Further Understanding of Sparse Filtering via Information
Bottleneck | 8 pages, 5 figures | null | null | null | cs.LG eess.SP stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we examine a formalization of feature distribution learning
(FDL) in information-theoretic terms relying on the analytical approach and on
the tools already used in the study of the information bottleneck (IB). It has
been conjectured that the behavior of FDL algorithms could be expressed as an
optimiza... | [
{
"created": "Sun, 20 Oct 2019 12:56:17 GMT",
"version": "v1"
}
] | 2019-10-22 | [
[
"Zennaro",
"Fabio Massimo",
""
],
[
"Chen",
"Ke",
""
]
] | In this paper we examine a formalization of feature distribution learning (FDL) in information-theoretic terms relying on the analytical approach and on the tools already used in the study of the information bottleneck (IB). It has been conjectured that the behavior of FDL algorithms could be expressed as an optimizati... |
2306.13761 | Amal Feriani | Amal Feriani, Di Wu, Steve Liu, Greg Dudek | CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation | null | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Deep learning has been extensively used in wireless communication problems,
including channel estimation. Although several data-driven approaches exist, a
fair and realistic comparison between them is difficult due to inconsistencies
in the experimental conditions and the lack of a standardized experimental
design. I... | [
{
"created": "Fri, 23 Jun 2023 19:55:41 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Nov 2023 17:33:43 GMT",
"version": "v2"
}
] | 2023-11-14 | [
[
"Feriani",
"Amal",
""
],
[
"Wu",
"Di",
""
],
[
"Liu",
"Steve",
""
],
[
"Dudek",
"Greg",
""
]
] | Deep learning has been extensively used in wireless communication problems, including channel estimation. Although several data-driven approaches exist, a fair and realistic comparison between them is difficult due to inconsistencies in the experimental conditions and the lack of a standardized experimental design. In ... |
2406.07561 | Leroy Valencia | Leroy Jacob Valencia | Artificial Intelligence as the New Hacker: Developing Agents for
Offensive Security | null | null | null | null | cs.CR cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In the vast domain of cybersecurity, the transition from reactive defense to
offensive has become critical in protecting digital infrastructures. This paper
explores the integration of Artificial Intelligence (AI) into offensive
cybersecurity, particularly through the development of an autonomous AI agent,
ReaperAI, ... | [
{
"created": "Thu, 9 May 2024 18:15:12 GMT",
"version": "v1"
}
] | 2024-06-13 | [
[
"Valencia",
"Leroy Jacob",
""
]
] | In the vast domain of cybersecurity, the transition from reactive defense to offensive has become critical in protecting digital infrastructures. This paper explores the integration of Artificial Intelligence (AI) into offensive cybersecurity, particularly through the development of an autonomous AI agent, ReaperAI, de... |
2406.04949 | Christian Igel | Venkanna Babu Guthula, Stefan Oehmcke, Remigio Chilaule, Hui Zhang,
Nico Lang, Ankit Kariryaa, Johan Mottelson, Christian Igel | Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification,
and Segmentation to Support Mosquito-borne Disease Risk Assessment | null | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As low-quality housing and in particular certain roof characteristics are
associated with an increased risk of malaria, classification of roof types
based on remote sensing imagery can support the assessment of malaria risk and
thereby help prevent the disease. To support research in this area, we release
the Nacala-... | [
{
"created": "Fri, 7 Jun 2024 14:07:23 GMT",
"version": "v1"
}
] | 2024-06-10 | [
[
"Guthula",
"Venkanna Babu",
""
],
[
"Oehmcke",
"Stefan",
""
],
[
"Chilaule",
"Remigio",
""
],
[
"Zhang",
"Hui",
""
],
[
"Lang",
"Nico",
""
],
[
"Kariryaa",
"Ankit",
""
],
[
"Mottelson",
"Johan",
""
],
[... | As low-quality housing and in particular certain roof characteristics are associated with an increased risk of malaria, classification of roof types based on remote sensing imagery can support the assessment of malaria risk and thereby help prevent the disease. To support research in this area, we release the Nacala-Ro... |
1101.5684 | Chengqing Li | Qin Li, Chengqing Li, Dong-Yang Long, W. H. Chan, and Chun-Hui Wu | On the impossibility of non-static quantum bit commitment between two
parties | 5 pages | null | null | null | cs.CR quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, Choi \emph{et al}. proposed an assumption on Mayers-Lo-Chau (MLC)
no-go theorem that the state of the entire quantum system is invariable to both
participants before the unveiling phase. This means that the theorem is only
applicable to static quantum bit commitment (QBC). This paper find that the
assumptio... | [
{
"created": "Sat, 29 Jan 2011 08:56:46 GMT",
"version": "v1"
}
] | 2011-02-11 | [
[
"Li",
"Qin",
""
],
[
"Li",
"Chengqing",
""
],
[
"Long",
"Dong-Yang",
""
],
[
"Chan",
"W. H.",
""
],
[
"Wu",
"Chun-Hui",
""
]
] | Recently, Choi \emph{et al}. proposed an assumption on Mayers-Lo-Chau (MLC) no-go theorem that the state of the entire quantum system is invariable to both participants before the unveiling phase. This means that the theorem is only applicable to static quantum bit commitment (QBC). This paper find that the assumption ... |
2209.14024 | Jiale Tao | Jiale Tao, Biao Wang, Tiezheng Ge, Yuning Jiang, Wen Li, and Lixin
Duan | Motion Transformer for Unsupervised Image Animation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image animation aims to animate a source image by using motion learned from a
driving video. Current state-of-the-art methods typically use convolutional
neural networks (CNNs) to predict motion information, such as motion keypoints
and corresponding local transformations. However, these CNN based methods do
not expl... | [
{
"created": "Wed, 28 Sep 2022 12:04:58 GMT",
"version": "v1"
}
] | 2022-09-29 | [
[
"Tao",
"Jiale",
""
],
[
"Wang",
"Biao",
""
],
[
"Ge",
"Tiezheng",
""
],
[
"Jiang",
"Yuning",
""
],
[
"Li",
"Wen",
""
],
[
"Duan",
"Lixin",
""
]
] | Image animation aims to animate a source image by using motion learned from a driving video. Current state-of-the-art methods typically use convolutional neural networks (CNNs) to predict motion information, such as motion keypoints and corresponding local transformations. However, these CNN based methods do not explic... |
2105.14314 | Yuanpeng Liu | Yuanpeng Liu, Qinglei Hui, Zhiyi Peng, Shaolin Gong and Dexing Kong | Automatic CT Segmentation from Bounding Box Annotations using
Convolutional Neural Networks | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Accurate segmentation for medical images is important for clinical diagnosis.
Existing automatic segmentation methods are mainly based on fully supervised
learning and have an extremely high demand for precise annotations, which are
very costly and time-consuming to obtain. To address this problem, we proposed
an aut... | [
{
"created": "Sat, 29 May 2021 14:48:16 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Jun 2021 16:06:47 GMT",
"version": "v2"
},
{
"created": "Wed, 9 Jun 2021 13:20:08 GMT",
"version": "v3"
}
] | 2021-06-10 | [
[
"Liu",
"Yuanpeng",
""
],
[
"Hui",
"Qinglei",
""
],
[
"Peng",
"Zhiyi",
""
],
[
"Gong",
"Shaolin",
""
],
[
"Kong",
"Dexing",
""
]
] | Accurate segmentation for medical images is important for clinical diagnosis. Existing automatic segmentation methods are mainly based on fully supervised learning and have an extremely high demand for precise annotations, which are very costly and time-consuming to obtain. To address this problem, we proposed an autom... |
2110.15622 | Guanglin Niu | Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng
Li, Chengyu Wang, Hao Wang, Jian Sun | Path-Enhanced Multi-Relational Question Answering with Knowledge Graph
Embeddings | null | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The multi-relational Knowledge Base Question Answering (KBQA) system performs
multi-hop reasoning over the knowledge graph (KG) to achieve the answer. Recent
approaches attempt to introduce the knowledge graph embedding (KGE) technique
to handle the KG incompleteness but only consider the triple facts and neglect
the... | [
{
"created": "Fri, 29 Oct 2021 08:37:46 GMT",
"version": "v1"
}
] | 2021-11-01 | [
[
"Niu",
"Guanglin",
""
],
[
"Li",
"Yang",
""
],
[
"Tang",
"Chengguang",
""
],
[
"Hu",
"Zhongkai",
""
],
[
"Yang",
"Shibin",
""
],
[
"Li",
"Peng",
""
],
[
"Wang",
"Chengyu",
""
],
[
"Wang",
"Hao",... | The multi-relational Knowledge Base Question Answering (KBQA) system performs multi-hop reasoning over the knowledge graph (KG) to achieve the answer. Recent approaches attempt to introduce the knowledge graph embedding (KGE) technique to handle the KG incompleteness but only consider the triple facts and neglect the s... |
2106.09942 | Wilk Oliveira | Wilk Oliveira, Olena Pastushenko, Luiz Rodrigues, Armando M. Toda,
Paula T. Palomino, Juho Hamari, Seiji Isotani | Does gamification affect flow experience? A systematic literature review | 5th International GamiFIN Conference 2021 (GamiFIN 2021), April 7-10,
2021, Finland | 2021 Proceedings of the 5th International GamiFIN Conference | null | CEUR-WS.org/Vol-2883/paper12.pdf | cs.HC | http://creativecommons.org/licenses/by/4.0/ | In recent years, studies in different areas have used gamification to improve
users' flow experience. However, due to the high variety of the conducted
studies and the lack of secondary studies (e.g., systematic literature reviews)
in this field, it is difficult to get the state-of-the-art of this research
domain. To... | [
{
"created": "Fri, 18 Jun 2021 06:43:38 GMT",
"version": "v1"
}
] | 2021-07-23 | [
[
"Oliveira",
"Wilk",
""
],
[
"Pastushenko",
"Olena",
""
],
[
"Rodrigues",
"Luiz",
""
],
[
"Toda",
"Armando M.",
""
],
[
"Palomino",
"Paula T.",
""
],
[
"Hamari",
"Juho",
""
],
[
"Isotani",
"Seiji",
""
]
] | In recent years, studies in different areas have used gamification to improve users' flow experience. However, due to the high variety of the conducted studies and the lack of secondary studies (e.g., systematic literature reviews) in this field, it is difficult to get the state-of-the-art of this research domain. To a... |
1901.07355 | Senthil Yogamani | Hazem Rashed, Senthil Yogamani, Ahmad El-Sallab, Pavel Krizek and
Mohamed El-Helw | Optical Flow augmented Semantic Segmentation networks for Automated
Driving | Accepted for Oral Presentation at VISAPP 2019 | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motion is a dominant cue in automated driving systems. Optical flow is
typically computed to detect moving objects and to estimate depth using
triangulation. In this paper, our motivation is to leverage the existing dense
optical flow to improve the performance of semantic segmentation. To provide a
systematic study,... | [
{
"created": "Fri, 11 Jan 2019 19:10:46 GMT",
"version": "v1"
}
] | 2019-01-23 | [
[
"Rashed",
"Hazem",
""
],
[
"Yogamani",
"Senthil",
""
],
[
"El-Sallab",
"Ahmad",
""
],
[
"Krizek",
"Pavel",
""
],
[
"El-Helw",
"Mohamed",
""
]
] | Motion is a dominant cue in automated driving systems. Optical flow is typically computed to detect moving objects and to estimate depth using triangulation. In this paper, our motivation is to leverage the existing dense optical flow to improve the performance of semantic segmentation. To provide a systematic study, w... |
1807.00564 | Manfred Jaeger | Manfred Jaeger and Oliver Schulte | Inference, Learning, and Population Size: Projectivity for SRL Models | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A subtle difference between propositional and relational data is that in many
relational models, marginal probabilities depend on the population or domain
size. This paper connects the dependence on population size to the classic
notion of projectivity from statistical theory: Projectivity implies that
relational pre... | [
{
"created": "Mon, 2 Jul 2018 09:40:00 GMT",
"version": "v1"
}
] | 2018-07-03 | [
[
"Jaeger",
"Manfred",
""
],
[
"Schulte",
"Oliver",
""
]
] | A subtle difference between propositional and relational data is that in many relational models, marginal probabilities depend on the population or domain size. This paper connects the dependence on population size to the classic notion of projectivity from statistical theory: Projectivity implies that relational predi... |
1905.10083 | Zhi Zhou | Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang | Edge Intelligence: Paving the Last Mile of Artificial Intelligence with
Edge Computing | Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, and Junshan Zhang,
"Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge
Computing," Proceedings of the IEEE | null | null | null | cs.DC cs.AI cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the breakthroughs in deep learning, the recent years have witnessed a
booming of artificial intelligence (AI) applications and services, spanning
from personal assistant to recommendation systems to video/audio surveillance.
More recently, with the proliferation of mobile computing and
Internet-of-Things (IoT), ... | [
{
"created": "Fri, 24 May 2019 08:19:05 GMT",
"version": "v1"
}
] | 2019-05-27 | [
[
"Zhou",
"Zhi",
""
],
[
"Chen",
"Xu",
""
],
[
"Li",
"En",
""
],
[
"Zeng",
"Liekang",
""
],
[
"Luo",
"Ke",
""
],
[
"Zhang",
"Junshan",
""
]
] | With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications and services, spanning from personal assistant to recommendation systems to video/audio surveillance. More recently, with the proliferation of mobile computing and Internet-of-Things (IoT), bi... |
2201.07029 | Wei Hu | Wei Cheng and Xiangrong Zhu and Wei Hu | Conflict-aware Inference of Python Compatible Runtime Environments with
Domain Knowledge Graph | Accepted in the 44th International Conference on Software Engineering
(ICSE 2022) | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Code sharing and reuse is a widespread use practice in software engineering.
Although a vast amount of open-source Python code is accessible on many online
platforms, programmers often find it difficult to restore a successful runtime
environment. Previous studies validated automatic inference of Python
dependencies ... | [
{
"created": "Tue, 18 Jan 2022 14:55:00 GMT",
"version": "v1"
}
] | 2022-01-19 | [
[
"Cheng",
"Wei",
""
],
[
"Zhu",
"Xiangrong",
""
],
[
"Hu",
"Wei",
""
]
] | Code sharing and reuse is a widespread use practice in software engineering. Although a vast amount of open-source Python code is accessible on many online platforms, programmers often find it difficult to restore a successful runtime environment. Previous studies validated automatic inference of Python dependencies us... |
2011.06803 | Anna Bogdanova | Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, and Tetsuya
Sakurai | Federated Learning System without Model Sharing through Integration of
Dimensional Reduced Data Representations | 6 pages with 4 figures. To be presented at the Workshop on Federated
Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020
(FL-IJCAI'20) | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Dimensionality Reduction is a commonly used element in a machine learning
pipeline that helps to extract important features from high-dimensional data.
In this work, we explore an alternative federated learning system that enables
integration of dimensionality reduced representations of distributed data prior
to a su... | [
{
"created": "Fri, 13 Nov 2020 08:12:00 GMT",
"version": "v1"
}
] | 2020-11-16 | [
[
"Bogdanova",
"Anna",
""
],
[
"Nakai",
"Akie",
""
],
[
"Okada",
"Yukihiko",
""
],
[
"Imakura",
"Akira",
""
],
[
"Sakurai",
"Tetsuya",
""
]
] | Dimensionality Reduction is a commonly used element in a machine learning pipeline that helps to extract important features from high-dimensional data. In this work, we explore an alternative federated learning system that enables integration of dimensionality reduced representations of distributed data prior to a supe... |
2201.11701 | Joseph Early | Joseph Early, Christine Evers and Sarvapali Ramchurn | Model Agnostic Interpretability for Multiple Instance Learning | 25 pages (9 content, 2 acknowledgement + references, 14 appendix). 16
figures (3 main content, 13 appendix). Submitted and accepted to ICLR 22, see
http://openreview.net/forum?id=KSSfF5lMIAg Revisions: v2) Added additional
acknowledgements v3) Updated to ICLR camera ready version | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | In Multiple Instance Learning (MIL), models are trained using bags of
instances, where only a single label is provided for each bag. A bag label is
often only determined by a handful of key instances within a bag, making it
difficult to interpret what information a classifier is using to make
decisions. In this work,... | [
{
"created": "Thu, 27 Jan 2022 17:55:32 GMT",
"version": "v1"
},
{
"created": "Fri, 28 Jan 2022 09:58:57 GMT",
"version": "v2"
},
{
"created": "Mon, 14 Mar 2022 18:45:41 GMT",
"version": "v3"
}
] | 2022-03-16 | [
[
"Early",
"Joseph",
""
],
[
"Evers",
"Christine",
""
],
[
"Ramchurn",
"Sarvapali",
""
]
] | In Multiple Instance Learning (MIL), models are trained using bags of instances, where only a single label is provided for each bag. A bag label is often only determined by a handful of key instances within a bag, making it difficult to interpret what information a classifier is using to make decisions. In this work, w... |
2203.08065 | Juntang Zhuang | Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam,
Nicha Dvornek, Sekhar Tatikonda, James Duncan, Ting Liu | Surrogate Gap Minimization Improves Sharpness-Aware Training | Paper accepted by ICLR22, https://openreview.net/forum?id=edONMAnhLu- | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | The recently proposed Sharpness-Aware Minimization (SAM) improves
generalization by minimizing a \textit{perturbed loss} defined as the maximum
loss within a neighborhood in the parameter space. However, we show that both
sharp and flat minima can have a low perturbed loss, implying that SAM does not
always prefer fl... | [
{
"created": "Tue, 15 Mar 2022 16:57:59 GMT",
"version": "v1"
},
{
"created": "Sat, 19 Mar 2022 15:56:32 GMT",
"version": "v2"
}
] | 2022-03-22 | [
[
"Zhuang",
"Juntang",
""
],
[
"Gong",
"Boqing",
""
],
[
"Yuan",
"Liangzhe",
""
],
[
"Cui",
"Yin",
""
],
[
"Adam",
"Hartwig",
""
],
[
"Dvornek",
"Nicha",
""
],
[
"Tatikonda",
"Sekhar",
""
],
[
"Duncan... | The recently proposed Sharpness-Aware Minimization (SAM) improves generalization by minimizing a \textit{perturbed loss} defined as the maximum loss within a neighborhood in the parameter space. However, we show that both sharp and flat minima can have a low perturbed loss, implying that SAM does not always prefer flat... |
2105.00349 | Andrea Castellani | Andrea Castellani, Sebastian Schmitt, and Barbara Hammer | Estimating the electrical power output of industrial devices with
end-to-end time-series classification in the presence of label noise | Accepted in Applied Data Science track at ECML 2021 | null | 10.1007/978-3-030-86486-6_29 | null | cs.LG cs.NE eess.SP | http://creativecommons.org/licenses/by/4.0/ | In complex industrial settings, it is common practice to monitor the
operation of machines in order to detect undesired states, adjust maintenance
schedules, optimize system performance or collect usage statistics of
individual machines. In this work, we focus on estimating the power output of a
Combined Heat and Pow... | [
{
"created": "Sat, 1 May 2021 21:45:42 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Jul 2021 15:21:07 GMT",
"version": "v2"
}
] | 2021-12-07 | [
[
"Castellani",
"Andrea",
""
],
[
"Schmitt",
"Sebastian",
""
],
[
"Hammer",
"Barbara",
""
]
] | In complex industrial settings, it is common practice to monitor the operation of machines in order to detect undesired states, adjust maintenance schedules, optimize system performance or collect usage statistics of individual machines. In this work, we focus on estimating the power output of a Combined Heat and Power... |
1611.04994 | Jun Guo | Jun Guo, and Hongyang Chao | One-to-Many Network for Visually Pleasing Compression Artifacts
Reduction | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the compression artifacts reduction problem, where a compressed
image is transformed into an artifact-free image. Recent approaches for this
problem typically train a one-to-one mapping using a per-pixel $L_2$ loss
between the outputs and the ground-truths. We point out that these approaches
used to produ... | [
{
"created": "Tue, 15 Nov 2016 19:22:58 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Apr 2017 09:18:59 GMT",
"version": "v2"
}
] | 2017-04-12 | [
[
"Guo",
"Jun",
""
],
[
"Chao",
"Hongyang",
""
]
] | We consider the compression artifacts reduction problem, where a compressed image is transformed into an artifact-free image. Recent approaches for this problem typically train a one-to-one mapping using a per-pixel $L_2$ loss between the outputs and the ground-truths. We point out that these approaches used to produce... |
1303.0351 | George Abraham | Ramesh Babu, George Abraham, Kiransinh Borasia | A Review On Securing Distributed Systems Using Symmetric Key
Cryptography | 7 pages, 7 figures, 1 table, Journal | International Journal of Advances in Science and Technology, Vol.
4, No.4, 2012 | null | null | cs.DC cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This review is aimed to evaluate the importance of Symmetric Key Cryptography
for Security in Distributed Systems. Businesses around the world as well as
research and other such areas rely heavily on distributed systems these days.
Hence, security is also a major concern due to the openness of the system. Out
of the ... | [
{
"created": "Sat, 2 Mar 2013 04:40:00 GMT",
"version": "v1"
}
] | 2013-03-05 | [
[
"Babu",
"Ramesh",
""
],
[
"Abraham",
"George",
""
],
[
"Borasia",
"Kiransinh",
""
]
] | This review is aimed to evaluate the importance of Symmetric Key Cryptography for Security in Distributed Systems. Businesses around the world as well as research and other such areas rely heavily on distributed systems these days. Hence, security is also a major concern due to the openness of the system. Out of the va... |
2211.08081 | Annika Junker | Annika Junker, Niklas Fittkau, Julia Timmermann, Ansgar Tr\"achtler | Autonomous Golf Putting with Data-Driven and Physics-Based Methods | accepted for: 2022 Sixth IEEE International Conference on Robotic
Computing (IRC) | null | null | null | cs.RO cs.LG cs.SY eess.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We are developing a self-learning mechatronic golf robot using combined
data-driven and physics-based methods, to have the robot autonomously learn to
putt the ball from an arbitrary point on the green. Apart from the mechatronic
control design of the robot, this task is accomplished by a camera system with
image rec... | [
{
"created": "Tue, 15 Nov 2022 12:05:03 GMT",
"version": "v1"
}
] | 2022-11-16 | [
[
"Junker",
"Annika",
""
],
[
"Fittkau",
"Niklas",
""
],
[
"Timmermann",
"Julia",
""
],
[
"Trächtler",
"Ansgar",
""
]
] | We are developing a self-learning mechatronic golf robot using combined data-driven and physics-based methods, to have the robot autonomously learn to putt the ball from an arbitrary point on the green. Apart from the mechatronic control design of the robot, this task is accomplished by a camera system with image recog... |
2212.13138 | Shekoofeh Azizi | Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei,
Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen
Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal
Scharli, Aakanksha Chowdhery, Philip Mansfield, Blaise Aguera y Arcas, Dale
Webster, Greg S. C... | Large Language Models Encode Clinical Knowledge | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have demonstrated impressive capabilities in
natural language understanding and generation, but the quality bar for medical
and clinical applications is high. Today, attempts to assess models' clinical
knowledge typically rely on automated evaluations on limited benchmarks. There
is no st... | [
{
"created": "Mon, 26 Dec 2022 14:28:24 GMT",
"version": "v1"
}
] | 2022-12-27 | [
[
"Singhal",
"Karan",
""
],
[
"Azizi",
"Shekoofeh",
""
],
[
"Tu",
"Tao",
""
],
[
"Mahdavi",
"S. Sara",
""
],
[
"Wei",
"Jason",
""
],
[
"Chung",
"Hyung Won",
""
],
[
"Scales",
"Nathan",
""
],
[
"Tanwan... | Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, but the quality bar for medical and clinical applications is high. Today, attempts to assess models' clinical knowledge typically rely on automated evaluations on limited benchmarks. There is no stan... |
2302.13352 | Ruijie Xi | Ruijie Xi, Munindar P.Singh | The blame game: Understanding blame assignment in social media | Submitted to ICWSM 2022 | null | 10.1109/TCSS.2023.3261242 | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cognitive and psychological studies on morality have proposed underlying
linguistic and semantic factors. However, laboratory experiments in the
philosophical literature often lack the nuances and complexity of real life.
This paper examines how well the findings of these cognitive studies generalize
to a corpus of o... | [
{
"created": "Sun, 26 Feb 2023 17:01:43 GMT",
"version": "v1"
}
] | 2023-03-23 | [
[
"Xi",
"Ruijie",
""
],
[
"Singh",
"Munindar P.",
""
]
] | Cognitive and psychological studies on morality have proposed underlying linguistic and semantic factors. However, laboratory experiments in the philosophical literature often lack the nuances and complexity of real life. This paper examines how well the findings of these cognitive studies generalize to a corpus of ove... |
cs/0302005 | Vicky Choi | Vicky Choi and Martin Farach-Colton | Barnacle: An Assembly Algorithm for Clone-based Sequences of Whole
Genomes | 13 pages, 10 figures | null | null | null | cs.DS cs.DM q-bio | null | We propose an assembly algorithm {\sc Barnacle} for sequences generated by
the clone-based approach. We illustrate our approach by assembling the human
genome. Our novel method abandons the original physical-mapping-first
framework. As we show, {\sc Barnacle} more effectively resolves conflicts due
to repeated sequen... | [
{
"created": "Mon, 3 Feb 2003 22:42:08 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Choi",
"Vicky",
""
],
[
"Farach-Colton",
"Martin",
""
]
] | We propose an assembly algorithm {\sc Barnacle} for sequences generated by the clone-based approach. We illustrate our approach by assembling the human genome. Our novel method abandons the original physical-mapping-first framework. As we show, {\sc Barnacle} more effectively resolves conflicts due to repeated sequence... |
2010.11997 | Zhanwen Chen | Zhanwen Chen, Shiyao Li, Roxanne Rashedi, Xiaoman Zi, Morgan
Elrod-Erickson, Bryan Hollis, Angela Maliakal, Xinyu Shen, Simeng Zhao,
Maithilee Kunda | Characterizing Datasets for Social Visual Question Answering, and the
New TinySocial Dataset | To appear in the Joint IEEE International Conference on Development
and Learning and on Epigenetic Robotics (ICDL), 2020 | null | null | null | cs.HC cs.CL cs.CV cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern social intelligence includes the ability to watch videos and answer
questions about social and theory-of-mind-related content, e.g., for a scene in
Harry Potter, "Is the father really upset about the boys flying the car?"
Social visual question answering (social VQA) is emerging as a valuable
methodology for s... | [
{
"created": "Thu, 8 Oct 2020 03:20:23 GMT",
"version": "v1"
}
] | 2020-10-26 | [
[
"Chen",
"Zhanwen",
""
],
[
"Li",
"Shiyao",
""
],
[
"Rashedi",
"Roxanne",
""
],
[
"Zi",
"Xiaoman",
""
],
[
"Elrod-Erickson",
"Morgan",
""
],
[
"Hollis",
"Bryan",
""
],
[
"Maliakal",
"Angela",
""
],
[
... | Modern social intelligence includes the ability to watch videos and answer questions about social and theory-of-mind-related content, e.g., for a scene in Harry Potter, "Is the father really upset about the boys flying the car?" Social visual question answering (social VQA) is emerging as a valuable methodology for stu... |
1407.6102 | Andrew Connor | Alison Talbot, Andy M. Connor | Requirements engineering current practice and capability in small and
medium software development enterprises in New Zealand | Proceedings of the 9th ACIS Conference on Software Engineering
Research, Management & Applications (SERA 2011) | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents research on current industry practices with respect to
requirements engineering as implemented within software development companies
in New Zealand. A survey instrument is designed and deployed. The results are
analysed and compared against what is internationally considered "best
practice" and pr... | [
{
"created": "Wed, 23 Jul 2014 03:42:33 GMT",
"version": "v1"
}
] | 2014-07-24 | [
[
"Talbot",
"Alison",
""
],
[
"Connor",
"Andy M.",
""
]
] | This paper presents research on current industry practices with respect to requirements engineering as implemented within software development companies in New Zealand. A survey instrument is designed and deployed. The results are analysed and compared against what is internationally considered "best practice" and prev... |
1905.00966 | Sahand Sharifzadeh | Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner,
Volker Tresp | Improving Visual Relation Detection using Depth Maps | International Conference on Pattern Recognition 2020 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visual relation detection methods rely on object information extracted from
RGB images such as 2D bounding boxes, feature maps, and predicted class
probabilities. We argue that depth maps can additionally provide valuable
information on object relations, e.g. helping to detect not only spatial
relations, such as stan... | [
{
"created": "Thu, 2 May 2019 21:14:35 GMT",
"version": "v1"
},
{
"created": "Mon, 7 Oct 2019 13:33:27 GMT",
"version": "v2"
},
{
"created": "Fri, 24 Jan 2020 15:00:23 GMT",
"version": "v3"
},
{
"created": "Sat, 17 Oct 2020 13:58:38 GMT",
"version": "v4"
}
] | 2020-10-20 | [
[
"Sharifzadeh",
"Sahand",
""
],
[
"Baharlou",
"Sina Moayed",
""
],
[
"Berrendorf",
"Max",
""
],
[
"Koner",
"Rajat",
""
],
[
"Tresp",
"Volker",
""
]
] | Visual relation detection methods rely on object information extracted from RGB images such as 2D bounding boxes, feature maps, and predicted class probabilities. We argue that depth maps can additionally provide valuable information on object relations, e.g. helping to detect not only spatial relations, such as standi... |
2307.03243 | Jie Zhang | Jie Zhang, Masanori Suganuma, Takayuki Okatani | That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent studies on visual anomaly detection (AD) of industrial
objects/textures have achieved quite good performance. They consider an
unsupervised setting, specifically the one-class setting, in which we assume
the availability of a set of normal (\textit{i.e.}, anomaly-free) images for
training. In this paper, we co... | [
{
"created": "Thu, 6 Jul 2023 18:17:43 GMT",
"version": "v1"
}
] | 2023-07-10 | [
[
"Zhang",
"Jie",
""
],
[
"Suganuma",
"Masanori",
""
],
[
"Okatani",
"Takayuki",
""
]
] | Recent studies on visual anomaly detection (AD) of industrial objects/textures have achieved quite good performance. They consider an unsupervised setting, specifically the one-class setting, in which we assume the availability of a set of normal (\textit{i.e.}, anomaly-free) images for training. In this paper, we cons... |
1505.00737 | Mrinal Haloi | Mrinal Haloi, Samarendra Dandapat, Rohit Sinha | A Gaussian Scale Space Approach For Exudates Detection, Classification
And Severity Prediction | Accepted in ICIP 2015, Quebec city, Canada | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the context of Computer Aided Diagnosis system for diabetic retinopathy,
we present a novel method for detection of exudates and their classification
for disease severity prediction. The method is based on Gaussian scale space
based interest map and mathematical morphology. It makes use of support vector
machine f... | [
{
"created": "Mon, 4 May 2015 18:05:52 GMT",
"version": "v1"
}
] | 2015-05-05 | [
[
"Haloi",
"Mrinal",
""
],
[
"Dandapat",
"Samarendra",
""
],
[
"Sinha",
"Rohit",
""
]
] | In the context of Computer Aided Diagnosis system for diabetic retinopathy, we present a novel method for detection of exudates and their classification for disease severity prediction. The method is based on Gaussian scale space based interest map and mathematical morphology. It makes use of support vector machine for... |
2210.05343 | Roman Chaban | Roman Chaban, Olga Taran, Joakim Tutt, Yury Belousov, Brian Pulfer,
Taras Holotyak and Slava Voloshynovskiy | Printing variability of copy detection patterns | null | null | null | null | cs.CR cs.CV | http://creativecommons.org/licenses/by/4.0/ | Copy detection pattern (CDP) is a novel solution for products' protection
against counterfeiting, which gains its popularity in recent years. CDP
attracts the anti-counterfeiting industry due to its numerous benefits in
comparison to alternative protection techniques. Besides its attractiveness,
there is an essential... | [
{
"created": "Tue, 11 Oct 2022 11:09:14 GMT",
"version": "v1"
}
] | 2022-10-12 | [
[
"Chaban",
"Roman",
""
],
[
"Taran",
"Olga",
""
],
[
"Tutt",
"Joakim",
""
],
[
"Belousov",
"Yury",
""
],
[
"Pulfer",
"Brian",
""
],
[
"Holotyak",
"Taras",
""
],
[
"Voloshynovskiy",
"Slava",
""
]
] | Copy detection pattern (CDP) is a novel solution for products' protection against counterfeiting, which gains its popularity in recent years. CDP attracts the anti-counterfeiting industry due to its numerous benefits in comparison to alternative protection techniques. Besides its attractiveness, there is an essential g... |
2201.08319 | Matej Hoffmann | Matej Hoffmann and Matthew R. Longo | Body Models in Humans and Robots | 14 pages, 2 figures | The Routledge Handbook of Bodily Awareness 2022 | null | null | cs.RO q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neurocognitive models of higher-level somatosensory processing have
emphasised the role of stored body representations in interpreting real-time
sensory signals coming from the body (Longo, Azanon and Haggard, 2010; Tame,
Azanon and Longo, 2019). The need for such stored representations arises from
the fact that imme... | [
{
"created": "Thu, 20 Jan 2022 17:35:16 GMT",
"version": "v1"
}
] | 2022-01-21 | [
[
"Hoffmann",
"Matej",
""
],
[
"Longo",
"Matthew R.",
""
]
] | Neurocognitive models of higher-level somatosensory processing have emphasised the role of stored body representations in interpreting real-time sensory signals coming from the body (Longo, Azanon and Haggard, 2010; Tame, Azanon and Longo, 2019). The need for such stored representations arises from the fact that immedi... |
2310.12072 | Sehoon Kim | Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Hasan Genc, Kurt
Keutzer, Amir Gholami, Sophia Shao | SPEED: Speculative Pipelined Execution for Efficient Decoding | NeurIPS Workshop on Efficient Natural Language and Speech Processing
(2023) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generative Large Language Models (LLMs) based on the Transformer architecture
have recently emerged as a dominant foundation model for a wide range of
Natural Language Processing tasks. Nevertheless, their application in real-time
scenarios has been highly restricted due to the significant inference latency
associate... | [
{
"created": "Wed, 18 Oct 2023 16:07:01 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Jan 2024 00:32:43 GMT",
"version": "v2"
}
] | 2024-01-04 | [
[
"Hooper",
"Coleman",
""
],
[
"Kim",
"Sehoon",
""
],
[
"Mohammadzadeh",
"Hiva",
""
],
[
"Genc",
"Hasan",
""
],
[
"Keutzer",
"Kurt",
""
],
[
"Gholami",
"Amir",
""
],
[
"Shao",
"Sophia",
""
]
] | Generative Large Language Models (LLMs) based on the Transformer architecture have recently emerged as a dominant foundation model for a wide range of Natural Language Processing tasks. Nevertheless, their application in real-time scenarios has been highly restricted due to the significant inference latency associated ... |
1908.07198 | Changgeng Zhang | Yuefan Shen, Changgeng Zhang, Hongbo Fu, Kun Zhou, Youyi Zheng | DeepSketchHair: Deep Sketch-based 3D Hair Modeling | null | null | 10.1109/TVCG.2020.2968433 | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present sketchhair, a deep learning based tool for interactive modeling of
3D hair from 2D sketches. Given a 3D bust model as reference, our sketching
system takes as input a user-drawn sketch (consisting of hair contour and a few
strokes indicating the hair growing direction within a hair region), and
automatical... | [
{
"created": "Tue, 20 Aug 2019 07:39:21 GMT",
"version": "v1"
}
] | 2023-08-16 | [
[
"Shen",
"Yuefan",
""
],
[
"Zhang",
"Changgeng",
""
],
[
"Fu",
"Hongbo",
""
],
[
"Zhou",
"Kun",
""
],
[
"Zheng",
"Youyi",
""
]
] | We present sketchhair, a deep learning based tool for interactive modeling of 3D hair from 2D sketches. Given a 3D bust model as reference, our sketching system takes as input a user-drawn sketch (consisting of hair contour and a few strokes indicating the hair growing direction within a hair region), and automatically... |
1903.00712 | Peter Schrammel | Viktor Malik, Martin Hruska, Peter Schrammel, Tomas Vojnar | 2LS: Heap Analysis and Memory Safety (Competition Contribution) | System description for contribution to Software Verification
Competition (SV-COMP) 2019 | null | null | null | cs.SE cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | 2LS is a framework for analysis of sequential C programs that can verify and
refute program assertions and termination. The 2LS framework is built upon the
CPROVER infrastructure and implements template-based synthesis techniques, e.g.
to find invariants and ranking functions, and incremental loop unwinding
technique... | [
{
"created": "Sat, 2 Mar 2019 14:49:49 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Jan 2020 08:52:23 GMT",
"version": "v2"
}
] | 2020-01-06 | [
[
"Malik",
"Viktor",
""
],
[
"Hruska",
"Martin",
""
],
[
"Schrammel",
"Peter",
""
],
[
"Vojnar",
"Tomas",
""
]
] | 2LS is a framework for analysis of sequential C programs that can verify and refute program assertions and termination. The 2LS framework is built upon the CPROVER infrastructure and implements template-based synthesis techniques, e.g. to find invariants and ranking functions, and incremental loop unwinding techniques ... |
2310.02926 | Burlen Loring | Burlen Loring (1), E. Wes Bethel (1 and 2), Gunther H. Weber (1),
Michael W. Mahoney (1 and 3 and 4) ((1) Lawrence Berkeley National Lab, (2)
San Francisco State University, (3) International Computer Science Institute
University of California at Berkeley, (4) University of California at
Berkeley) | Extensions to the SENSEI In situ Framework for Heterogeneous
Architectures | To appear in: ISAV 2023: In Situ Infrastructures for Enabling
Extreme-scale Analysis and Visualization, November 13 2023 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The proliferation of GPUs and accelerators in recent supercomputing systems,
so called heterogeneous architectures, has led to increased complexity in
execution environments and programming models as well as to deeper memory
hierarchies on these systems. In this work, we discuss challenges that arise in
in situ code ... | [
{
"created": "Wed, 4 Oct 2023 16:05:48 GMT",
"version": "v1"
}
] | 2023-10-05 | [
[
"Loring",
"Burlen",
"",
"1 and 2"
],
[
"Bethel",
"E. Wes",
"",
"1 and 2"
],
[
"Weber",
"Gunther H.",
"",
"1 and 3 and 4"
],
[
"Mahoney",
"Michael W.",
"",
"1 and 3 and 4"
]
] | The proliferation of GPUs and accelerators in recent supercomputing systems, so called heterogeneous architectures, has led to increased complexity in execution environments and programming models as well as to deeper memory hierarchies on these systems. In this work, we discuss challenges that arise in in situ code co... |
2405.06261 | Arvind Rameshwar | V. Arvind Rameshwar and Anshoo Tandon | Improving the Privacy Loss Under User-Level DP Composition for Fixed
Estimation Error | 43 pages, 8 figures, to be submitted to the IEEE | null | null | null | cs.CR cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | This paper considers the private release of statistics of several disjoint
subsets of a datasets. In particular, we consider the $\epsilon$-user-level
differentially private release of sample means and variances of sample values
in disjoint subsets of a dataset, in a potentially sequential manner.
Traditional analysi... | [
{
"created": "Fri, 10 May 2024 06:24:35 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Aug 2024 08:11:47 GMT",
"version": "v2"
},
{
"created": "Thu, 8 Aug 2024 06:35:30 GMT",
"version": "v3"
}
] | 2024-08-09 | [
[
"Rameshwar",
"V. Arvind",
""
],
[
"Tandon",
"Anshoo",
""
]
] | This paper considers the private release of statistics of several disjoint subsets of a datasets. In particular, we consider the $\epsilon$-user-level differentially private release of sample means and variances of sample values in disjoint subsets of a dataset, in a potentially sequential manner. Traditional analysis ... |
1608.06691 | Guangning Tan | Guangning Tan, Nedialko S. Nedialkov, John D. Pryce | Conversion Methods for Improving Structural Analysis of
Differential-Algebraic Equation Systems | 22 pages | null | null | null | cs.SC cs.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Differential-algebraic equation systems (DAEs) are generated routinely by
simulation and modeling environments. Before a simulation starts and a
numerical method is applied, some kind of structural analysis (SA) is used to
determine which equations to be differentiated, and how many times. Both
Pantelides's algorithm... | [
{
"created": "Wed, 24 Aug 2016 02:20:55 GMT",
"version": "v1"
}
] | 2016-08-25 | [
[
"Tan",
"Guangning",
""
],
[
"Nedialkov",
"Nedialko S.",
""
],
[
"Pryce",
"John D.",
""
]
] | Differential-algebraic equation systems (DAEs) are generated routinely by simulation and modeling environments. Before a simulation starts and a numerical method is applied, some kind of structural analysis (SA) is used to determine which equations to be differentiated, and how many times. Both Pantelides's algorithm a... |
1310.6938 | Rodrigo Cabral Farias | Rodrigo Cabral Farias, Eric Moisan and Jean-Marc Brossier | Optimal Asymmetric Binary Quantization for Estimation Under
Symmetrically Distributed Noise | 4 pages, 5 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Estimation of a location parameter based on noisy and binary quantized
measurements is considered in this letter. We study the behavior of the
Cramer-Rao bound as a function of the quantizer threshold for different
symmetric unimodal noise distributions. We show that, in some cases, the
intuitive choice of threshold ... | [
{
"created": "Fri, 25 Oct 2013 14:42:47 GMT",
"version": "v1"
}
] | 2013-10-28 | [
[
"Farias",
"Rodrigo Cabral",
""
],
[
"Moisan",
"Eric",
""
],
[
"Brossier",
"Jean-Marc",
""
]
] | Estimation of a location parameter based on noisy and binary quantized measurements is considered in this letter. We study the behavior of the Cramer-Rao bound as a function of the quantizer threshold for different symmetric unimodal noise distributions. We show that, in some cases, the intuitive choice of threshold po... |
1807.08622 | Mohammed Ishaquddin | Md.Ishaquddin, S.Gopalakrishnan | Differential quadrature element for second strain gradient beam theory | arXiv admin note: text overlap with arXiv:1802.08115 | null | null | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, first we present the variational formulation for a second
strain gradient Euler-Bernoulli beam theory for the first time. The governing
equation and associated classical and non-classical boundary conditions are
obtained. Later, we propose a novel and efficient differential quadrature
element based on ... | [
{
"created": "Thu, 19 Jul 2018 17:58:40 GMT",
"version": "v1"
}
] | 2018-07-24 | [
[
"Ishaquddin",
"Md.",
""
],
[
"Gopalakrishnan",
"S.",
""
]
] | In this paper, first we present the variational formulation for a second strain gradient Euler-Bernoulli beam theory for the first time. The governing equation and associated classical and non-classical boundary conditions are obtained. Later, we propose a novel and efficient differential quadrature element based on La... |
1909.05801 | Emiliano De Cristofaro | Aravindh Raman, Sagar Joglekar, Emiliano De Cristofaro, Nishanth
Sastry, and Gareth Tyson | Challenges in the Decentralised Web: The Mastodon Case | null | Proceedings of 19th ACM Internet Measurement Conference (IMC 2019) | null | null | cs.NI cs.CR cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Decentralised Web (DW) has recently seen a renewed momentum, with a
number of DW platforms like Mastodon, Peer-Tube, and Hubzilla gaining
increasing traction. These offer alternatives to traditional social networks
like Twitter, YouTube, and Facebook, by enabling the operation of web
infrastructure and services w... | [
{
"created": "Thu, 12 Sep 2019 17:00:34 GMT",
"version": "v1"
}
] | 2019-09-13 | [
[
"Raman",
"Aravindh",
""
],
[
"Joglekar",
"Sagar",
""
],
[
"De Cristofaro",
"Emiliano",
""
],
[
"Sastry",
"Nishanth",
""
],
[
"Tyson",
"Gareth",
""
]
] | The Decentralised Web (DW) has recently seen a renewed momentum, with a number of DW platforms like Mastodon, Peer-Tube, and Hubzilla gaining increasing traction. These offer alternatives to traditional social networks like Twitter, YouTube, and Facebook, by enabling the operation of web infrastructure and services wit... |
2403.03874 | Amanda Cercas Curry | Amanda Cercas Curry, Zeerak Talat, Dirk Hovy | Impoverished Language Technology: The Lack of (Social) Class in NLP | Accepted to LREC-COLING 2024 | null | null | null | cs.CL cs.AI cs.CY | http://creativecommons.org/licenses/by-sa/4.0/ | Since Labov's (1964) foundational work on the social stratification of
language, linguistics has dedicated concerted efforts towards understanding the
relationships between socio-demographic factors and language production and
perception. Despite the large body of evidence identifying significant
relationships betwee... | [
{
"created": "Wed, 6 Mar 2024 17:35:27 GMT",
"version": "v1"
}
] | 2024-03-07 | [
[
"Curry",
"Amanda Cercas",
""
],
[
"Talat",
"Zeerak",
""
],
[
"Hovy",
"Dirk",
""
]
] | Since Labov's (1964) foundational work on the social stratification of language, linguistics has dedicated concerted efforts towards understanding the relationships between socio-demographic factors and language production and perception. Despite the large body of evidence identifying significant relationships between ... |
2304.01781 | Marek Eli\'a\v{s} | Antonios Antoniadis and Christian Coester and Marek Eli\'a\v{s} and
Adam Polak and Bertrand Simon | Mixing predictions for online metric algorithms | null | null | null | null | cs.LG cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A major technique in learning-augmented online algorithms is combining
multiple algorithms or predictors. Since the performance of each predictor may
vary over time, it is desirable to use not the single best predictor as a
benchmark, but rather a dynamic combination which follows different predictors
at different ti... | [
{
"created": "Tue, 4 Apr 2023 13:18:00 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Dec 2023 20:24:55 GMT",
"version": "v2"
}
] | 2023-12-19 | [
[
"Antoniadis",
"Antonios",
""
],
[
"Coester",
"Christian",
""
],
[
"Eliáš",
"Marek",
""
],
[
"Polak",
"Adam",
""
],
[
"Simon",
"Bertrand",
""
]
] | A major technique in learning-augmented online algorithms is combining multiple algorithms or predictors. Since the performance of each predictor may vary over time, it is desirable to use not the single best predictor as a benchmark, but rather a dynamic combination which follows different predictors at different time... |
2401.12942 | Hugh Morison | Hugh Morison, Jagmeet Singh, Nayem Al Kayed, A. Aadhi, Maryam
Moridsadat, Marcus Tamura, Alexander N. Tait, and Bhavin J. Shastri | Nonlinear dynamics in neuromorphic photonic networks: physical
simulation in Verilog-A | 17 pages, 9 figures. Submitted to Physical Review Applied | null | null | null | cs.ET physics.app-ph physics.optics | http://creativecommons.org/licenses/by/4.0/ | Advances in silicon photonics technology have enabled the field of
neuromorphic photonics, where analog neuron-like processing elements are
implemented in silicon photonics technology. Accurate and scalable simulation
tools for photonic integrated circuits are critical for designing neuromorphic
photonic circuits. Th... | [
{
"created": "Tue, 23 Jan 2024 17:58:55 GMT",
"version": "v1"
}
] | 2024-01-24 | [
[
"Morison",
"Hugh",
""
],
[
"Singh",
"Jagmeet",
""
],
[
"Kayed",
"Nayem Al",
""
],
[
"Aadhi",
"A.",
""
],
[
"Moridsadat",
"Maryam",
""
],
[
"Tamura",
"Marcus",
""
],
[
"Tait",
"Alexander N.",
""
],
[
... | Advances in silicon photonics technology have enabled the field of neuromorphic photonics, where analog neuron-like processing elements are implemented in silicon photonics technology. Accurate and scalable simulation tools for photonic integrated circuits are critical for designing neuromorphic photonic circuits. This... |
1703.00983 | Kexin Rong | Kexin Rong, Peter Bailis | ASAP: Prioritizing Attention via Time Series Smoothing | null | Proc. VLDB Endow. Vol. 10, No. 11 pages 1358-1369, 2017 | 10.14778/3137628.3137645 | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Time series visualization of streaming telemetry (i.e., charting of key
metrics such as server load over time) is increasingly prevalent in modern data
platforms and applications. However, many existing systems simply plot the raw
data streams as they arrive, often obscuring large-scale trends due to
small-scale nois... | [
{
"created": "Thu, 2 Mar 2017 23:09:48 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Sep 2017 08:49:09 GMT",
"version": "v2"
}
] | 2017-09-20 | [
[
"Rong",
"Kexin",
""
],
[
"Bailis",
"Peter",
""
]
] | Time series visualization of streaming telemetry (i.e., charting of key metrics such as server load over time) is increasingly prevalent in modern data platforms and applications. However, many existing systems simply plot the raw data streams as they arrive, often obscuring large-scale trends due to small-scale noise.... |
2105.03832 | Jasper Brown | Jasper Brown, Salah Sukkarieh | Dataset and Performance Comparison of Deep Learning Architectures for
Plum Detection and Robotic Harvesting | 20 pages, 8 figures, 2 tables. Associated dataset at
http://data.acfr.usyd.edu.au/Agriculture/PlumDetection/ | null | null | null | cs.CV cs.RO | http://creativecommons.org/licenses/by/4.0/ | Many automated operations in agriculture, such as weeding and plant counting,
require robust and accurate object detectors. Robotic fruit harvesting is one
of these, and is an important technology to address the increasing labour
shortages and uncertainty suffered by tree crop growers. An eye-in-hand sensing
setup is... | [
{
"created": "Sun, 9 May 2021 04:18:58 GMT",
"version": "v1"
}
] | 2021-05-11 | [
[
"Brown",
"Jasper",
""
],
[
"Sukkarieh",
"Salah",
""
]
] | Many automated operations in agriculture, such as weeding and plant counting, require robust and accurate object detectors. Robotic fruit harvesting is one of these, and is an important technology to address the increasing labour shortages and uncertainty suffered by tree crop growers. An eye-in-hand sensing setup is c... |
2402.15605 | Arran Zeyu Wang | Ghulam Jilani Quadri, Arran Zeyu Wang, Zhehao Wang, Jennifer Adorno,
Paul Rosen, Danielle Albers Szafir | Do You See What I See? A Qualitative Study Eliciting High-Level
Visualization Comprehension | Accepted for publication in ACM CHI 2024 | In Proceedings of the CHI Conference on Human Factors in Computing
Systems (CHI '24), May 11-16, 2024, Honolulu, HI, USA | 10.1145/3613904.3642813 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Designers often create visualizations to achieve specific high-level
analytical or communication goals. These goals require people to naturally
extract complex, contextualized, and interconnected patterns in data. While
limited prior work has studied general high-level interpretation, prevailing
perceptual studies of... | [
{
"created": "Fri, 23 Feb 2024 20:58:04 GMT",
"version": "v1"
}
] | 2024-02-27 | [
[
"Quadri",
"Ghulam Jilani",
""
],
[
"Wang",
"Arran Zeyu",
""
],
[
"Wang",
"Zhehao",
""
],
[
"Adorno",
"Jennifer",
""
],
[
"Rosen",
"Paul",
""
],
[
"Szafir",
"Danielle Albers",
""
]
] | Designers often create visualizations to achieve specific high-level analytical or communication goals. These goals require people to naturally extract complex, contextualized, and interconnected patterns in data. While limited prior work has studied general high-level interpretation, prevailing perceptual studies of v... |
1809.06557 | Bingchen Gong | Weifeng Ge, Bingchen Gong, and Yizhou Yu | Image Super-Resolution via Deterministic-Stochastic Synthesis and Local
Statistical Rectification | to appear in SIGGRAPH Asia 2018 | null | 10.1145/3272127.3275060 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Single image superresolution has been a popular research topic in the last
two decades and has recently received a new wave of interest due to deep neural
networks. In this paper, we approach this problem from a different perspective.
With respect to a downsampled low resolution image, we model a high resolution
imag... | [
{
"created": "Tue, 18 Sep 2018 06:50:56 GMT",
"version": "v1"
}
] | 2018-10-03 | [
[
"Ge",
"Weifeng",
""
],
[
"Gong",
"Bingchen",
""
],
[
"Yu",
"Yizhou",
""
]
] | Single image superresolution has been a popular research topic in the last two decades and has recently received a new wave of interest due to deep neural networks. In this paper, we approach this problem from a different perspective. With respect to a downsampled low resolution image, we model a high resolution image ... |
2307.14406 | Peng Liang | Beiqi Zhang, Liming Fu, Peng Liang, Jiaxin Yu, Chong Wang | Demystifying Code Snippets in Code Reviews: A Study of the OpenStack and
Qt Communities and A Practitioner Survey | Preprint accepted for publication in Empirical Software Engineering,
2024 | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Code review is widely known as one of the best practices for software quality
assurance in software development. In a typical code review process, reviewers
check the code committed by developers to ensure the quality of the code,
during which reviewers and developers would communicate with each other in
review comme... | [
{
"created": "Wed, 26 Jul 2023 17:49:19 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Dec 2023 02:59:58 GMT",
"version": "v2"
},
{
"created": "Thu, 4 Apr 2024 06:55:55 GMT",
"version": "v3"
}
] | 2024-04-05 | [
[
"Zhang",
"Beiqi",
""
],
[
"Fu",
"Liming",
""
],
[
"Liang",
"Peng",
""
],
[
"Yu",
"Jiaxin",
""
],
[
"Wang",
"Chong",
""
]
] | Code review is widely known as one of the best practices for software quality assurance in software development. In a typical code review process, reviewers check the code committed by developers to ensure the quality of the code, during which reviewers and developers would communicate with each other in review comment... |
1506.04714 | Dinesh Jayaraman | Dinesh Jayaraman and Kristen Grauman | Slow and steady feature analysis: higher order temporal coherence in
video | in Computer Vision and Pattern Recognition (CVPR) 2016, Las Vegas,
NV, June 2016 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | How can unlabeled video augment visual learning? Existing methods perform
"slow" feature analysis, encouraging the representations of temporally close
frames to exhibit only small differences. While this standard approach captures
the fact that high-level visual signals change slowly over time, it fails to
capture *h... | [
{
"created": "Mon, 15 Jun 2015 19:26:38 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Apr 2016 18:37:33 GMT",
"version": "v2"
}
] | 2016-04-15 | [
[
"Jayaraman",
"Dinesh",
""
],
[
"Grauman",
"Kristen",
""
]
] | How can unlabeled video augment visual learning? Existing methods perform "slow" feature analysis, encouraging the representations of temporally close frames to exhibit only small differences. While this standard approach captures the fact that high-level visual signals change slowly over time, it fails to capture *how... |
2402.07937 | David Gonz\'alez Ortega | David Gonz\'alez-Ortega, Francisco Javier D\'iaz-Pernas, Mario
Mart\'inez-Zarzuela, and M\'iriam Ant\'on-Rodr\'iguez | A Physiological Sensor-Based Android Application Synchronized with a
Driving Simulator for Driver Monitoring | 28 pages | Sensors 2019, 19, 399 | 10.3390/s19020399 | null | cs.HC cs.LG eess.SP | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present an Android application to control and monitor the
physiological sensors from the Shimmer platform and its synchronized working
with a driving simulator. The Android app can monitor drivers and their
parameters can be used to analyze the relation between their physiological
states and driving... | [
{
"created": "Sun, 4 Feb 2024 18:55:24 GMT",
"version": "v1"
}
] | 2024-02-14 | [
[
"González-Ortega",
"David",
""
],
[
"Díaz-Pernas",
"Francisco Javier",
""
],
[
"Martínez-Zarzuela",
"Mario",
""
],
[
"Antón-Rodríguez",
"Míriam",
""
]
] | In this paper, we present an Android application to control and monitor the physiological sensors from the Shimmer platform and its synchronized working with a driving simulator. The Android app can monitor drivers and their parameters can be used to analyze the relation between their physiological states and driving p... |
2404.12008 | Siyi Lin | Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Yan Feng,
Chun Chen, Can Wang | How Do Recommendation Models Amplify Popularity Bias? An Analysis from
the Spectral Perspective | 23 pages, 9 figures | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recommendation Systems (RS) are often plagued by popularity bias. When
training a recommendation model on a typically long-tailed dataset, the model
tends to not only inherit this bias but often exacerbate it, resulting in
over-representation of popular items in the recommendation lists. This study
conducts comprehen... | [
{
"created": "Thu, 18 Apr 2024 08:59:32 GMT",
"version": "v1"
},
{
"created": "Mon, 27 May 2024 05:28:57 GMT",
"version": "v2"
},
{
"created": "Thu, 13 Jun 2024 07:31:09 GMT",
"version": "v3"
}
] | 2024-06-14 | [
[
"Lin",
"Siyi",
""
],
[
"Gao",
"Chongming",
""
],
[
"Chen",
"Jiawei",
""
],
[
"Zhou",
"Sheng",
""
],
[
"Hu",
"Binbin",
""
],
[
"Feng",
"Yan",
""
],
[
"Chen",
"Chun",
""
],
[
"Wang",
"Can",
""... | Recommendation Systems (RS) are often plagued by popularity bias. When training a recommendation model on a typically long-tailed dataset, the model tends to not only inherit this bias but often exacerbate it, resulting in over-representation of popular items in the recommendation lists. This study conducts comprehensi... |
2404.09480 | Kyubyung Chae | Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim | Mitigating Hallucination in Abstractive Summarization with
Domain-Conditional Mutual Information | Accepted by Findings of NAACL 2024 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A primary challenge in abstractive summarization is hallucination -- the
phenomenon where a model generates plausible text that is absent in the source
text. We hypothesize that the domain (or topic) of the source text triggers the
model to generate text that is highly probable in the domain, neglecting the
details o... | [
{
"created": "Mon, 15 Apr 2024 06:06:43 GMT",
"version": "v1"
}
] | 2024-04-16 | [
[
"Chae",
"Kyubyung",
""
],
[
"Choi",
"Jaepill",
""
],
[
"Jo",
"Yohan",
""
],
[
"Kim",
"Taesup",
""
]
] | A primary challenge in abstractive summarization is hallucination -- the phenomenon where a model generates plausible text that is absent in the source text. We hypothesize that the domain (or topic) of the source text triggers the model to generate text that is highly probable in the domain, neglecting the details of ... |
1011.2740 | Nam Yul Yu | Nam Yul Yu | Deterministic Compressed Sensing Matrices from Multiplicative Character
Sequences | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Compressed sensing is a novel technique where one can recover sparse signals
from the undersampled measurements. In this paper, a $K \times N$ measurement
matrix for compressed sensing is deterministically constructed via
multiplicative character sequences. Precisely, a constant multiple of a cyclic
shift of an $M$-a... | [
{
"created": "Thu, 11 Nov 2010 19:16:33 GMT",
"version": "v1"
}
] | 2010-11-12 | [
[
"Yu",
"Nam Yul",
""
]
] | Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a $K \times N$ measurement matrix for compressed sensing is deterministically constructed via multiplicative character sequences. Precisely, a constant multiple of a cyclic shift of an $M$-ary... |
1510.05606 | Mohammad Hosseini | Mohammad Hosseini and Yu Jiang and Poliang Wu and Richard B. Berlin
and Lui Sha | SINk: A Middleware for Synchronization of Heterogeneous Software
Interfaces | ARM 2015, December 07-11, 2015, Vancouver, BC, Canada Copyright 2015
ACM 978-1-4503-3733-5/15/12 | null | 10.1145/2834965.2834967 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software is everywhere. The increasing requirement of supporting a wide
variety of domains has rapidly increased the complexity of software systems,
making them hard to maintain and the training process harder for end-users,
which in turn ultimately demanded the development of user-friendly application
software with ... | [
{
"created": "Mon, 19 Oct 2015 18:08:56 GMT",
"version": "v1"
}
] | 2015-10-20 | [
[
"Hosseini",
"Mohammad",
""
],
[
"Jiang",
"Yu",
""
],
[
"Wu",
"Poliang",
""
],
[
"Berlin",
"Richard B.",
""
],
[
"Sha",
"Lui",
""
]
] | Software is everywhere. The increasing requirement of supporting a wide variety of domains has rapidly increased the complexity of software systems, making them hard to maintain and the training process harder for end-users, which in turn ultimately demanded the development of user-friendly application software with si... |
2101.11328 | Mikhail Kamenev | Mikhail Kamenev | Recursive Decoding of Reed-Muller Codes Starting With the Higher-Rate
Constituent Code | Accepted for Publication in IEEE Transactions on Information Theory.
This paper has been presented in part at the 2021 IEEE International
Symposium on Information Theory (ISIT) | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recursive list decoding of Reed-Muller (RM) codes, with moderate list size,
is known to approach maximum-likelihood (ML) performance of short length $(\leq
256)$ RM codes. Recursive decoding employs the Plotkin construction to split
the original code into two shorter RM codes with different rates. In contrast
to the ... | [
{
"created": "Wed, 27 Jan 2021 11:33:34 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Nov 2021 20:07:17 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Jul 2022 09:47:08 GMT",
"version": "v3"
}
] | 2022-07-20 | [
[
"Kamenev",
"Mikhail",
""
]
] | Recursive list decoding of Reed-Muller (RM) codes, with moderate list size, is known to approach maximum-likelihood (ML) performance of short length $(\leq 256)$ RM codes. Recursive decoding employs the Plotkin construction to split the original code into two shorter RM codes with different rates. In contrast to the st... |
2009.04642 | Yihao Liu | Yihao Liu and Liangbin Xie and Li Siyao and Wenxiu Sun and Yu Qiao and
Chao Dong | Enhanced Quadratic Video Interpolation | Winning solution of AIM2020 VTSR Challenge (in conjunction with ECCV
2020) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the prosperity of digital video industry, video frame interpolation has
arisen continuous attention in computer vision community and become a new
upsurge in industry. Many learning-based methods have been proposed and
achieved progressive results. Among them, a recent algorithm named quadratic
video interpolatio... | [
{
"created": "Thu, 10 Sep 2020 02:31:50 GMT",
"version": "v1"
}
] | 2020-09-11 | [
[
"Liu",
"Yihao",
""
],
[
"Xie",
"Liangbin",
""
],
[
"Siyao",
"Li",
""
],
[
"Sun",
"Wenxiu",
""
],
[
"Qiao",
"Yu",
""
],
[
"Dong",
"Chao",
""
]
] | With the prosperity of digital video industry, video frame interpolation has arisen continuous attention in computer vision community and become a new upsurge in industry. Many learning-based methods have been proposed and achieved progressive results. Among them, a recent algorithm named quadratic video interpolation ... |
2204.04615 | Fanyue Wei | Fanyue Wei, Biao Wang, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan | Learning Pixel-Level Distinctions for Video Highlight Detection | Accepted at CVPR 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The goal of video highlight detection is to select the most attractive
segments from a long video to depict the most interesting parts of the video.
Existing methods typically focus on modeling relationship between different
video segments in order to learning a model that can assign highlight scores to
these segment... | [
{
"created": "Sun, 10 Apr 2022 06:41:16 GMT",
"version": "v1"
}
] | 2022-04-12 | [
[
"Wei",
"Fanyue",
""
],
[
"Wang",
"Biao",
""
],
[
"Ge",
"Tiezheng",
""
],
[
"Jiang",
"Yuning",
""
],
[
"Li",
"Wen",
""
],
[
"Duan",
"Lixin",
""
]
] | The goal of video highlight detection is to select the most attractive segments from a long video to depict the most interesting parts of the video. Existing methods typically focus on modeling relationship between different video segments in order to learning a model that can assign highlight scores to these segments;... |
1801.05507 | Chiraag Juvekar | Chiraag Juvekar, Vinod Vaikuntanathan and Anantha Chandrakasan | Gazelle: A Low Latency Framework for Secure Neural Network Inference | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The growing popularity of cloud-based machine learning raises a natural
question about the privacy guarantees that can be provided in such a setting.
Our work tackles this problem in the context where a client wishes to classify
private images using a convolutional neural network (CNN) trained by a server.
Our goal i... | [
{
"created": "Tue, 16 Jan 2018 23:58:47 GMT",
"version": "v1"
}
] | 2018-01-18 | [
[
"Juvekar",
"Chiraag",
""
],
[
"Vaikuntanathan",
"Vinod",
""
],
[
"Chandrakasan",
"Anantha",
""
]
] | The growing popularity of cloud-based machine learning raises a natural question about the privacy guarantees that can be provided in such a setting. Our work tackles this problem in the context where a client wishes to classify private images using a convolutional neural network (CNN) trained by a server. Our goal is ... |
2010.11545 | Huaxiu Yao | Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher,
Caiming Xiong | Online Structured Meta-learning | Accepted by NeurIPS 2020 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning quickly is of great importance for machine intelligence deployed in
online platforms. With the capability of transferring knowledge from learned
tasks, meta-learning has shown its effectiveness in online scenarios by
continuously updating the model with the learned prior. However, current online
meta-learnin... | [
{
"created": "Thu, 22 Oct 2020 09:10:31 GMT",
"version": "v1"
}
] | 2020-10-23 | [
[
"Yao",
"Huaxiu",
""
],
[
"Zhou",
"Yingbo",
""
],
[
"Mahdavi",
"Mehrdad",
""
],
[
"Li",
"Zhenhui",
""
],
[
"Socher",
"Richard",
""
],
[
"Xiong",
"Caiming",
""
]
] | Learning quickly is of great importance for machine intelligence deployed in online platforms. With the capability of transferring knowledge from learned tasks, meta-learning has shown its effectiveness in online scenarios by continuously updating the model with the learned prior. However, current online meta-learning ... |
2207.07554 | Chengyu Wu | Chengyu Wu, Yonglong Li, Li Xu, Guangyue Han | Renyi Entropy Rate of Stationary Ergodic Processes | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we examine the Renyi entropy rate of stationary ergodic
processes. For a special class of stationary ergodic processes, we prove that
the Renyi entropy rate always exists and can be polynomially approximated by
its defining sequence; moreover, using the Markov approximation method, we show
that the Ren... | [
{
"created": "Fri, 15 Jul 2022 15:51:59 GMT",
"version": "v1"
}
] | 2022-07-18 | [
[
"Wu",
"Chengyu",
""
],
[
"Li",
"Yonglong",
""
],
[
"Xu",
"Li",
""
],
[
"Han",
"Guangyue",
""
]
] | In this paper, we examine the Renyi entropy rate of stationary ergodic processes. For a special class of stationary ergodic processes, we prove that the Renyi entropy rate always exists and can be polynomially approximated by its defining sequence; moreover, using the Markov approximation method, we show that the Renyi... |
2106.03027 | Rahul Ramesh | Rahul Ramesh, Pratik Chaudhari | Model Zoo: A Growing "Brain" That Learns Continually | null | null | null | Proc. of the International Conference of Learning Representations
(ICLR) 2022 | cs.LG | http://creativecommons.org/licenses/by/4.0/ | This paper argues that continual learning methods can benefit by splitting
the capacity of the learner across multiple models. We use statistical learning
theory and experimental analysis to show how multiple tasks can interact with
each other in a non-trivial fashion when a single model is trained on them. The
gener... | [
{
"created": "Sun, 6 Jun 2021 04:25:09 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Dec 2021 21:48:21 GMT",
"version": "v2"
},
{
"created": "Wed, 15 Jun 2022 22:16:33 GMT",
"version": "v3"
}
] | 2024-05-07 | [
[
"Ramesh",
"Rahul",
""
],
[
"Chaudhari",
"Pratik",
""
]
] | This paper argues that continual learning methods can benefit by splitting the capacity of the learner across multiple models. We use statistical learning theory and experimental analysis to show how multiple tasks can interact with each other in a non-trivial fashion when a single model is trained on them. The general... |
2403.08068 | Reza Javan | Mehrzad Mohammadi, Reza Javan, Mohammad Beheshti-Atashgah and Mohammad
Reza Aref | SCALHEALTH: Scalable Blockchain Integration for Secure IoT Healthcare
Systems | null | null | null | null | cs.CR cs.DC | http://creativecommons.org/licenses/by/4.0/ | Internet of Things (IoT) devices are capable of allowing for far-reaching
access to and evaluation of patient data to monitor health and diagnose from a
distance. An electronic healthcare system that checks patient data, prepares
medicines and provides financial assistance is necessary. Providing safe data
transmissi... | [
{
"created": "Tue, 12 Mar 2024 20:42:32 GMT",
"version": "v1"
}
] | 2024-03-14 | [
[
"Mohammadi",
"Mehrzad",
""
],
[
"Javan",
"Reza",
""
],
[
"Beheshti-Atashgah",
"Mohammad",
""
],
[
"Aref",
"Mohammad Reza",
""
]
] | Internet of Things (IoT) devices are capable of allowing for far-reaching access to and evaluation of patient data to monitor health and diagnose from a distance. An electronic healthcare system that checks patient data, prepares medicines and provides financial assistance is necessary. Providing safe data transmission... |
1602.06229 | Chris Mitchell | Chris J Mitchell | On the security of 2-key triple DES | Typos in v1 fixed | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper reconsiders the security offered by 2-key triple DES, an
encryption technique that remains widely used despite recently being
de-standardised by NIST. A generalisation of the 1990 van Oorschot-Wiener
attack is described, constituting the first advance in cryptanalysis of 2-key
triple DES since 1990. We giv... | [
{
"created": "Fri, 19 Feb 2016 17:23:45 GMT",
"version": "v1"
},
{
"created": "Sun, 17 Jul 2016 09:21:03 GMT",
"version": "v2"
}
] | 2016-07-19 | [
[
"Mitchell",
"Chris J",
""
]
] | This paper reconsiders the security offered by 2-key triple DES, an encryption technique that remains widely used despite recently being de-standardised by NIST. A generalisation of the 1990 van Oorschot-Wiener attack is described, constituting the first advance in cryptanalysis of 2-key triple DES since 1990. We give ... |
2106.08285 | Tim Prangemeier | Christoph Reich, Tim Prangemeier, Christian Wildner and Heinz Koeppl | Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell
Microscopy | revised -- accepted to MICCAI 2021
(doi.org/10.1007/978-3-030-87237-3_46) (Tim Prangemeier and Christoph Reich
--- both authors contributed equally) | null | 10.1007/978-3-030-87237-3_46 | null | cs.CV cs.LG eess.IV q-bio.QM stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Time-lapse fluorescent microscopy (TLFM) combined with predictive
mathematical modelling is a powerful tool to study the inherently dynamic
processes of life on the single-cell level. Such experiments are costly,
complex and labour intensive. A complimentary approach and a step towards in
silico experimentation, is t... | [
{
"created": "Tue, 15 Jun 2021 16:51:16 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Jul 2021 14:37:52 GMT",
"version": "v2"
},
{
"created": "Fri, 24 Sep 2021 13:09:49 GMT",
"version": "v3"
}
] | 2021-09-27 | [
[
"Reich",
"Christoph",
""
],
[
"Prangemeier",
"Tim",
""
],
[
"Wildner",
"Christian",
""
],
[
"Koeppl",
"Heinz",
""
]
] | Time-lapse fluorescent microscopy (TLFM) combined with predictive mathematical modelling is a powerful tool to study the inherently dynamic processes of life on the single-cell level. Such experiments are costly, complex and labour intensive. A complimentary approach and a step towards in silico experimentation, is to ... |
1902.07847 | Jose Vega | J. D. Vega S\'anchez, D. P. Moya Osorio, E. E. Benitez Olivo, H.
Alves, M.C.P.Paredes, and L. Urquiza-Aguiar | On the Statistics of the Ratio of Non-Constrained Arbitrary
{\alpha}-{\mu} Random Variables: a General Framework and Applications | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we derive closed-form exact expressions for the main
statistics of the ratio of squared alpha-mu random variables, which are of
interest in many scenarios for future wireless networks where generalized
distributions are more suitable to fit with field data. Importantly, different
from previous proposal... | [
{
"created": "Thu, 21 Feb 2019 02:36:46 GMT",
"version": "v1"
}
] | 2019-02-22 | [
[
"Sánchez",
"J. D. Vega",
""
],
[
"Osorio",
"D. P. Moya",
""
],
[
"Olivo",
"E. E. Benitez",
""
],
[
"Alves",
"H.",
""
],
[
"Paredes",
"M. C. P.",
""
],
[
"Urquiza-Aguiar",
"L.",
""
]
] | In this paper, we derive closed-form exact expressions for the main statistics of the ratio of squared alpha-mu random variables, which are of interest in many scenarios for future wireless networks where generalized distributions are more suitable to fit with field data. Importantly, different from previous proposals,... |
2002.00655 | Alexander Renz-Wieland | Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch, Volker Markl | Dynamic Parameter Allocation in Parameter Servers | null | PVLDB, 13(11): 1877-1890, 2020 | 10.14778/3407790.3407796 | null | cs.LG cs.DB cs.DC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To keep up with increasing dataset sizes and model complexity, distributed
training has become a necessity for large machine learning tasks. Parameter
servers ease the implementation of distributed parameter management---a key
concern in distributed training---, but can induce severe communication
overhead. To reduce... | [
{
"created": "Mon, 3 Feb 2020 11:37:54 GMT",
"version": "v1"
},
{
"created": "Tue, 12 May 2020 14:05:58 GMT",
"version": "v2"
},
{
"created": "Fri, 3 Jul 2020 12:52:13 GMT",
"version": "v3"
}
] | 2020-07-06 | [
[
"Renz-Wieland",
"Alexander",
""
],
[
"Gemulla",
"Rainer",
""
],
[
"Zeuch",
"Steffen",
""
],
[
"Markl",
"Volker",
""
]
] | To keep up with increasing dataset sizes and model complexity, distributed training has become a necessity for large machine learning tasks. Parameter servers ease the implementation of distributed parameter management---a key concern in distributed training---, but can induce severe communication overhead. To reduce c... |
2111.08181 | Jason Phang | Jason Phang, Angelica Chen, William Huang, Samuel R. Bowman | Adversarially Constructed Evaluation Sets Are More Challenging, but May
Not Be Fair | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | More capable language models increasingly saturate existing task benchmarks,
in some cases outperforming humans. This has left little headroom with which to
measure further progress. Adversarial dataset creation has been proposed as a
strategy to construct more challenging datasets, and two common approaches are:
(1)... | [
{
"created": "Tue, 16 Nov 2021 01:45:26 GMT",
"version": "v1"
}
] | 2021-11-17 | [
[
"Phang",
"Jason",
""
],
[
"Chen",
"Angelica",
""
],
[
"Huang",
"William",
""
],
[
"Bowman",
"Samuel R.",
""
]
] | More capable language models increasingly saturate existing task benchmarks, in some cases outperforming humans. This has left little headroom with which to measure further progress. Adversarial dataset creation has been proposed as a strategy to construct more challenging datasets, and two common approaches are: (1) f... |
2206.07180 | Carlos Gustavo Lopez Pombo | Carlos Gustavo Lopez Pombo and Agust\'in Eloy Martinez Su\~n\'e | Integrating deduction and model finding in a language independent
setting | null | null | null | null | cs.SE cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software artifacts are ubiquitous in our lives being an essential part of
home appliances, cars, cel phones, and even in more critical activities like
aeronautics and health sciences. In this context software failures may produce
enormous losses, either economical or, in the extreme, in human lives. Software
analysis... | [
{
"created": "Tue, 14 Jun 2022 21:25:59 GMT",
"version": "v1"
}
] | 2022-06-16 | [
[
"Pombo",
"Carlos Gustavo Lopez",
""
],
[
"Suñé",
"Agustín Eloy Martinez",
""
]
] | Software artifacts are ubiquitous in our lives being an essential part of home appliances, cars, cel phones, and even in more critical activities like aeronautics and health sciences. In this context software failures may produce enormous losses, either economical or, in the extreme, in human lives. Software analysis i... |
2105.14731 | Fahri Wisnu Murti | Fahri Wisnu Murti, Samad Ali, and Matti Latva-aho | Deep Reinforcement Based Optimization of Function Splitting in
Virtualized Radio Access Networks | This paper has been accepted in IEEE International Conference on
Communications Workshops (ICC Workshops) 2021 | null | 10.1109/ICCWorkshops50388.2021.9473703 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Virtualized Radio Access Network (vRAN) is one of the key enablers of future
wireless networks as it brings the agility to the radio access network (RAN)
architecture and offers degrees of design freedom. Yet, it also creates a
challenging problem on how to design the functional split configuration. In
this paper, a ... | [
{
"created": "Mon, 31 May 2021 06:51:26 GMT",
"version": "v1"
}
] | 2021-07-16 | [
[
"Murti",
"Fahri Wisnu",
""
],
[
"Ali",
"Samad",
""
],
[
"Latva-aho",
"Matti",
""
]
] | Virtualized Radio Access Network (vRAN) is one of the key enablers of future wireless networks as it brings the agility to the radio access network (RAN) architecture and offers degrees of design freedom. Yet, it also creates a challenging problem on how to design the functional split configuration. In this paper, a de... |
1909.06570 | Chengkai Dai | Chengkai Dai, Sylvain Lefebvre, Kai-Ming Yu, Jo M.P. Geraedts, Charlie
C.L. Wang | Planning Jerk-Optimized Trajectory with Discrete-Time Constraints for
Redundant Robots | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a method for effectively planning the motion trajectory of robots
in manufacturing tasks, the tool-paths of which are usually complex and have a
large number of discrete-time constraints as waypoints. Kinematic redundancy
also exists in these robotic systems. The jerk of motion is optimized in our
trajecto... | [
{
"created": "Sat, 14 Sep 2019 10:03:13 GMT",
"version": "v1"
},
{
"created": "Sat, 15 Feb 2020 06:29:59 GMT",
"version": "v2"
}
] | 2020-02-18 | [
[
"Dai",
"Chengkai",
""
],
[
"Lefebvre",
"Sylvain",
""
],
[
"Yu",
"Kai-Ming",
""
],
[
"Geraedts",
"Jo M. P.",
""
],
[
"Wang",
"Charlie C. L.",
""
]
] | We present a method for effectively planning the motion trajectory of robots in manufacturing tasks, the tool-paths of which are usually complex and have a large number of discrete-time constraints as waypoints. Kinematic redundancy also exists in these robotic systems. The jerk of motion is optimized in our trajectory... |
1111.4748 | EPTCS | \'Abel Hegedus (BME), Zolt\'an Ujhelyi (BME), G\'abor Bergmann (BME) | Solving the TTC 2011 Reengineering Case with VIATRA2 | In Proceedings TTC 2011, arXiv:1111.4407 | EPTCS 74, 2011, pp. 136-148 | 10.4204/EPTCS.74.13 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The current paper presents a solution of the Program Understanding: A
Reengineering Case for the Transformation Tool Contest using the VIATRA2 model
transformation tool.
| [
{
"created": "Mon, 21 Nov 2011 05:25:42 GMT",
"version": "v1"
}
] | 2011-11-22 | [
[
"Hegedus",
"Ábel",
"",
"BME"
],
[
"Ujhelyi",
"Zoltán",
"",
"BME"
],
[
"Bergmann",
"Gábor",
"",
"BME"
]
] | The current paper presents a solution of the Program Understanding: A Reengineering Case for the Transformation Tool Contest using the VIATRA2 model transformation tool. |
cs/0205049 | Neal Young | Mordecai Golin, Neal E. Young | Prefix Codes: Equiprobable Words, Unequal Letter Costs | proceedings version in ICALP (1994) | SIAM J. Computing 25(6):1281-1304 (1996) | 10.1137/S0097539794268388 | null | cs.DS | null | Describes a near-linear-time algorithm for a variant of Huffman coding, in
which the letters may have non-uniform lengths (as in Morse code), but with the
restriction that each word to be encoded has equal probability. [See also
``Huffman Coding with Unequal Letter Costs'' (2002).]
| [
{
"created": "Sat, 18 May 2002 19:05:55 GMT",
"version": "v1"
}
] | 2015-06-02 | [
[
"Golin",
"Mordecai",
""
],
[
"Young",
"Neal E.",
""
]
] | Describes a near-linear-time algorithm for a variant of Huffman coding, in which the letters may have non-uniform lengths (as in Morse code), but with the restriction that each word to be encoded has equal probability. [See also ``Huffman Coding with Unequal Letter Costs'' (2002).] |
2009.09991 | Sebastian Bruch | Mathieu Guillame-Bert, Sebastian Bruch, Petr Mitrichev, Petr Mikheev,
Jan Pfeifer | Modeling Text with Decision Forests using Categorical-Set Splits | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Decision forest algorithms typically model data by learning a binary tree
structure recursively where every node splits the feature space into two
sub-regions, sending examples into the left or right branch as a result. In
axis-aligned decision forests, the "decision" to route an input example is the
result of the ev... | [
{
"created": "Mon, 21 Sep 2020 16:16:35 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Sep 2020 18:29:59 GMT",
"version": "v2"
},
{
"created": "Fri, 5 Feb 2021 11:44:02 GMT",
"version": "v3"
}
] | 2021-02-08 | [
[
"Guillame-Bert",
"Mathieu",
""
],
[
"Bruch",
"Sebastian",
""
],
[
"Mitrichev",
"Petr",
""
],
[
"Mikheev",
"Petr",
""
],
[
"Pfeifer",
"Jan",
""
]
] | Decision forest algorithms typically model data by learning a binary tree structure recursively where every node splits the feature space into two sub-regions, sending examples into the left or right branch as a result. In axis-aligned decision forests, the "decision" to route an input example is the result of the eval... |
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