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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2403.13266 | Ziqi Yang | Ziqi Yang, Roberto Tron | Enhancing Security in Multi-Robot Systems through Co-Observation
Planning, Reachability Analysis, and Network Flow | 12 pages, 6 figures, submitted to IEEE Transactions on Control of
Network Systems | null | null | null | cs.RO cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses security challenges in multi-robot systems (MRS) where
adversaries may compromise robot control, risking unauthorized access to
forbidden areas. We propose a novel multi-robot optimal planning algorithm that
integrates mutual observations and introduces reachability constraints for
enhanced secur... | [
{
"created": "Wed, 20 Mar 2024 03:03:22 GMT",
"version": "v1"
}
] | 2024-03-21 | [
[
"Yang",
"Ziqi",
""
],
[
"Tron",
"Roberto",
""
]
] | This paper addresses security challenges in multi-robot systems (MRS) where adversaries may compromise robot control, risking unauthorized access to forbidden areas. We propose a novel multi-robot optimal planning algorithm that integrates mutual observations and introduces reachability constraints for enhanced securit... |
2103.08290 | Tzu-Ming Harry Hsu | Tzu-Ming Harry Hsu, Yin-Chih Chelsea Wang | DeepOPG: Improving Orthopantomogram Finding Summarization with Weak
Supervision | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Clinical finding summaries from an orthopantomogram, or a dental panoramic
radiograph, have significant potential to improve patient communication and
speed up clinical judgments. While orthopantomogram is a first-line tool for
dental examinations, no existing work has explored the summarization of
findings from it. ... | [
{
"created": "Mon, 15 Mar 2021 11:28:45 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Jul 2021 15:36:00 GMT",
"version": "v2"
}
] | 2021-07-07 | [
[
"Hsu",
"Tzu-Ming Harry",
""
],
[
"Wang",
"Yin-Chih Chelsea",
""
]
] | Clinical finding summaries from an orthopantomogram, or a dental panoramic radiograph, have significant potential to improve patient communication and speed up clinical judgments. While orthopantomogram is a first-line tool for dental examinations, no existing work has explored the summarization of findings from it. A ... |
2112.04257 | Cristiano Both Ph.D. | Lucas Baleeiro Dominato, Henrique Carvalho de Resende, Cristiano
Bonato Both, Johann M. Marquez-Barja, Bruno O. Silvestre, Kleber V. Cardoso | Tutorial on communication between access networks and the 5G core | 14 pages, 10 figures | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | Fifth-generation (5G) networks enable a variety of use cases that require
differentiated connectivity, e.g., Ultra-Reliable and Low-Latency
Communications (URLLC), enhanced Mobile Broadband (eMBB), and massive Machine
Type Communication (mMTC). To explore the full potential of these use cases, it
is mandatory to unde... | [
{
"created": "Wed, 8 Dec 2021 12:33:57 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Dec 2021 22:03:51 GMT",
"version": "v2"
}
] | 2021-12-28 | [
[
"Dominato",
"Lucas Baleeiro",
""
],
[
"de Resende",
"Henrique Carvalho",
""
],
[
"Both",
"Cristiano Bonato",
""
],
[
"Marquez-Barja",
"Johann M.",
""
],
[
"Silvestre",
"Bruno O.",
""
],
[
"Cardoso",
"Kleber V.",
""
]
] | Fifth-generation (5G) networks enable a variety of use cases that require differentiated connectivity, e.g., Ultra-Reliable and Low-Latency Communications (URLLC), enhanced Mobile Broadband (eMBB), and massive Machine Type Communication (mMTC). To explore the full potential of these use cases, it is mandatory to unders... |
2104.09568 | Arindam Chaudhuri Arc | Aashna Ahuja, Arindam Chaudhuri | Detecting Vehicle Type and License Plate Number of different Vehicles on
Images | Present Research Work in Progress | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | With ever increasing number of vehicles, vehicular tracking is one of the
major challenges faced by urban areas. In this paper we try to develop a model
that can locate a particular vehicle that the user is looking for depending on
two factors 1. the Type of vehicle and the 2. License plate number of the car.
The pro... | [
{
"created": "Mon, 12 Apr 2021 19:51:17 GMT",
"version": "v1"
}
] | 2021-04-21 | [
[
"Ahuja",
"Aashna",
""
],
[
"Chaudhuri",
"Arindam",
""
]
] | With ever increasing number of vehicles, vehicular tracking is one of the major challenges faced by urban areas. In this paper we try to develop a model that can locate a particular vehicle that the user is looking for depending on two factors 1. the Type of vehicle and the 2. License plate number of the car. The propo... |
2404.14395 | Mitodru Niyogi | Mitodru Niyogi, Arnab Bhattacharya | PARAMANU-GANITA: Language Model with Mathematical Capabilities | null | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present Paramanu-Ganita, a 208 million parameter novel Auto
Regressive (AR) decoder based language model on mathematics. The model is
pretrained from scratch at context size of 4096 on our curated mixed
mathematical corpus. We evaluate our model on both perplexity metric and GSM8k
mathematical bench... | [
{
"created": "Mon, 22 Apr 2024 17:55:56 GMT",
"version": "v1"
}
] | 2024-04-23 | [
[
"Niyogi",
"Mitodru",
""
],
[
"Bhattacharya",
"Arnab",
""
]
] | In this paper, we present Paramanu-Ganita, a 208 million parameter novel Auto Regressive (AR) decoder based language model on mathematics. The model is pretrained from scratch at context size of 4096 on our curated mixed mathematical corpus. We evaluate our model on both perplexity metric and GSM8k mathematical benchma... |
2006.03001 | Kexin Feng | Kexin Feng, Theodora Chaspari | A Siamese Neural Network with Modified Distance Loss For Transfer
Learning in Speech Emotion Recognition | AffCon@AAAI-20; Presented at AAAI-20 W1: Affective Content Analysis | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic emotion recognition plays a significant role in the process of
human computer interaction and the design of Internet of Things (IOT)
technologies. Yet, a common problem in emotion recognition systems lies in the
scarcity of reliable labels. By modeling pairwise differences between samples
of interest, a Sia... | [
{
"created": "Thu, 4 Jun 2020 16:44:33 GMT",
"version": "v1"
}
] | 2020-06-05 | [
[
"Feng",
"Kexin",
""
],
[
"Chaspari",
"Theodora",
""
]
] | Automatic emotion recognition plays a significant role in the process of human computer interaction and the design of Internet of Things (IOT) technologies. Yet, a common problem in emotion recognition systems lies in the scarcity of reliable labels. By modeling pairwise differences between samples of interest, a Siame... |
1602.01084 | Andrew Adamatzky | Alex J. L. Morgan, David A. Barrow, Andrew Adamatzky, Martin M.
Hanczyc | Simple fluidic digital half-adder | null | null | null | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A fluidic one-bit half-adder is made of five channels which intersect at a
junction. Two channels are inputs, two channels are outputs and one channel is
the drain. The channels direct fluid from input fragments to output fragments
and the streams of fluid interact at the junctions. Binary signals are
represented by ... | [
{
"created": "Tue, 2 Feb 2016 20:59:28 GMT",
"version": "v1"
}
] | 2016-02-03 | [
[
"Morgan",
"Alex J. L.",
""
],
[
"Barrow",
"David A.",
""
],
[
"Adamatzky",
"Andrew",
""
],
[
"Hanczyc",
"Martin M.",
""
]
] | A fluidic one-bit half-adder is made of five channels which intersect at a junction. Two channels are inputs, two channels are outputs and one channel is the drain. The channels direct fluid from input fragments to output fragments and the streams of fluid interact at the junctions. Binary signals are represented by wa... |
1710.03210 | Sarah Obead | Sarah A. Obead, J\"org Kliewer and Badri N. Vellambi | Joint Coordination-Channel Coding for Strong Coordination over Noisy
Channels Based on Polar Codes | 8 pages, 6 figures. Accepted in the 55th Annual Allerton Conference
on Communication, Control, and Computing (Allerton), 2017 | 55th Annual Allerton Conference on Communication, Control, and
Computing (Allerton), Monticello, IL, USA, Oct 2017, pp. 580-587 | 10.1109/ALLERTON.2017.8262789 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We construct a joint coordination-channel polar coding scheme for strong
coordination of actions between two agents $\mathsf X$ and $\mathsf Y$, which
communicate over a discrete memoryless channel (DMC) such that the joint
distribution of actions follows a prescribed probability distribution. We show
that polar code... | [
{
"created": "Mon, 9 Oct 2017 17:45:41 GMT",
"version": "v1"
}
] | 2018-08-16 | [
[
"Obead",
"Sarah A.",
""
],
[
"Kliewer",
"Jörg",
""
],
[
"Vellambi",
"Badri N.",
""
]
] | We construct a joint coordination-channel polar coding scheme for strong coordination of actions between two agents $\mathsf X$ and $\mathsf Y$, which communicate over a discrete memoryless channel (DMC) such that the joint distribution of actions follows a prescribed probability distribution. We show that polar codes ... |
2301.00075 | Aref Amiri | Aref Amiri and Hassan Salarieh | Optimal Motion Generation of the Bipedal Under-Actuated Planar Robot for
Stair Climbing | 4 pages, 6 figures, The 30th Annual International Conference of
Iranian Society of Mechanical Engineers | null | null | null | cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The importance of humanoid robots in today's world is undeniable, one of the
most important features of humanoid robots is the ability to maneuver in
environments such as stairs that other robots can not easily cross. A suitable
algorithm to generate the path for the bipedal robot to climb is very
important. In this ... | [
{
"created": "Sat, 31 Dec 2022 00:01:57 GMT",
"version": "v1"
}
] | 2023-01-03 | [
[
"Amiri",
"Aref",
""
],
[
"Salarieh",
"Hassan",
""
]
] | The importance of humanoid robots in today's world is undeniable, one of the most important features of humanoid robots is the ability to maneuver in environments such as stairs that other robots can not easily cross. A suitable algorithm to generate the path for the bipedal robot to climb is very important. In this pa... |
1502.06080 | Weiyao Lin | Yuanzhe Chen, Weiyao Lin, Chongyang Zhang, Zhenzhong Chen, Ning Xu,
Jun Xie | Intra-and-Inter-Constraint-based Video Enhancement based on Piecewise
Tone Mapping | This manuscript is the accepted version for TCSVT (IEEE Transactions
on Circuits and Systems for Video Technology) | IEEE Trans. Circuits and Systems for Video Technology, vol. 23,
no. 1, pp. 74-82, 2013 | 10.1109/TCSVT.2012.2203198 | null | cs.CV cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video enhancement plays an important role in various video applications. In
this paper, we propose a new intra-and-inter-constraint-based video enhancement
approach aiming to 1) achieve high intra-frame quality of the entire picture
where multiple region-of-interests (ROIs) can be adaptively and simultaneously
enhanc... | [
{
"created": "Sat, 21 Feb 2015 07:36:26 GMT",
"version": "v1"
}
] | 2016-11-18 | [
[
"Chen",
"Yuanzhe",
""
],
[
"Lin",
"Weiyao",
""
],
[
"Zhang",
"Chongyang",
""
],
[
"Chen",
"Zhenzhong",
""
],
[
"Xu",
"Ning",
""
],
[
"Xie",
"Jun",
""
]
] | Video enhancement plays an important role in various video applications. In this paper, we propose a new intra-and-inter-constraint-based video enhancement approach aiming to 1) achieve high intra-frame quality of the entire picture where multiple region-of-interests (ROIs) can be adaptively and simultaneously enhanced... |
2106.13281 | Daniel Freeman | C. Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor
Mordatch, Olivier Bachem | Brax -- A Differentiable Physics Engine for Large Scale Rigid Body
Simulation | 9 pages + 12 pages of appendices and references. In submission at
NeurIPS 2021 Datasets and Benchmarks Track | null | null | null | cs.RO cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We present Brax, an open source library for rigid body simulation with a
focus on performance and parallelism on accelerators, written in JAX. We
present results on a suite of tasks inspired by the existing reinforcement
learning literature, but remade in our engine. Additionally, we provide
reimplementations of PPO,... | [
{
"created": "Thu, 24 Jun 2021 19:09:12 GMT",
"version": "v1"
}
] | 2021-06-28 | [
[
"Freeman",
"C. Daniel",
""
],
[
"Frey",
"Erik",
""
],
[
"Raichuk",
"Anton",
""
],
[
"Girgin",
"Sertan",
""
],
[
"Mordatch",
"Igor",
""
],
[
"Bachem",
"Olivier",
""
]
] | We present Brax, an open source library for rigid body simulation with a focus on performance and parallelism on accelerators, written in JAX. We present results on a suite of tasks inspired by the existing reinforcement learning literature, but remade in our engine. Additionally, we provide reimplementations of PPO, S... |
2404.05291 | Yutao Ouyang | Yutao Ouyang, Jinhan Li, Yunfei Li, Zhongyu Li, Chao Yu, Koushil
Sreenath, Yi Wu | Long-horizon Locomotion and Manipulation on a Quadrupedal Robot with
Large Language Models | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | We present a large language model (LLM) based system to empower quadrupedal
robots with problem-solving abilities for long-horizon tasks beyond short-term
motions. Long-horizon tasks for quadrupeds are challenging since they require
both a high-level understanding of the semantics of the problem for task
planning and... | [
{
"created": "Mon, 8 Apr 2024 08:29:00 GMT",
"version": "v1"
}
] | 2024-04-09 | [
[
"Ouyang",
"Yutao",
""
],
[
"Li",
"Jinhan",
""
],
[
"Li",
"Yunfei",
""
],
[
"Li",
"Zhongyu",
""
],
[
"Yu",
"Chao",
""
],
[
"Sreenath",
"Koushil",
""
],
[
"Wu",
"Yi",
""
]
] | We present a large language model (LLM) based system to empower quadrupedal robots with problem-solving abilities for long-horizon tasks beyond short-term motions. Long-horizon tasks for quadrupeds are challenging since they require both a high-level understanding of the semantics of the problem for task planning and a... |
2406.11310 | Zhipeng Deng | Zhipeng Deng, Yuqiao Yang, Kenji Suzuki | Federated Active Learning Framework for Efficient Annotation Strategy in
Skin-lesion Classification | 14 pages, 3 figures | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Federated Learning (FL) enables multiple institutes to train models
collaboratively without sharing private data. Current FL research focuses on
communication efficiency, privacy protection, and personalization and assumes
that the data of FL have already been ideally collected. In medical scenarios,
however, data an... | [
{
"created": "Mon, 17 Jun 2024 08:16:28 GMT",
"version": "v1"
}
] | 2024-06-18 | [
[
"Deng",
"Zhipeng",
""
],
[
"Yang",
"Yuqiao",
""
],
[
"Suzuki",
"Kenji",
""
]
] | Federated Learning (FL) enables multiple institutes to train models collaboratively without sharing private data. Current FL research focuses on communication efficiency, privacy protection, and personalization and assumes that the data of FL have already been ideally collected. In medical scenarios, however, data anno... |
2202.05008 | David Ha | Yujin Tang, Yingtao Tian, David Ha | EvoJAX: Hardware-Accelerated Neuroevolution | GECCO 2022. Project website at https://github.com/google/evojax | null | 10.1145/3520304.3528770 | null | cs.NE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Evolutionary computation has been shown to be a highly effective method for
training neural networks, particularly when employed at scale on CPU clusters.
Recent work have also showcased their effectiveness on hardware accelerators,
such as GPUs, but so far such demonstrations are tailored for very specific
tasks, li... | [
{
"created": "Thu, 10 Feb 2022 13:06:47 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Apr 2022 21:01:06 GMT",
"version": "v2"
}
] | 2022-04-07 | [
[
"Tang",
"Yujin",
""
],
[
"Tian",
"Yingtao",
""
],
[
"Ha",
"David",
""
]
] | Evolutionary computation has been shown to be a highly effective method for training neural networks, particularly when employed at scale on CPU clusters. Recent work have also showcased their effectiveness on hardware accelerators, such as GPUs, but so far such demonstrations are tailored for very specific tasks, limi... |
1610.07882 | Michael Blot | Michael Blot, Matthieu Cord, Nicolas Thome | Maxmin convolutional neural networks for image classification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Convolutional neural networks (CNN) are widely used in computer vision,
especially in image classification. However, the way in which information and
invariance properties are encoded through in deep CNN architectures is still an
open question. In this paper, we propose to modify the standard convo- lutional
block of... | [
{
"created": "Tue, 25 Oct 2016 14:04:11 GMT",
"version": "v1"
}
] | 2016-10-26 | [
[
"Blot",
"Michael",
""
],
[
"Cord",
"Matthieu",
""
],
[
"Thome",
"Nicolas",
""
]
] | Convolutional neural networks (CNN) are widely used in computer vision, especially in image classification. However, the way in which information and invariance properties are encoded through in deep CNN architectures is still an open question. In this paper, we propose to modify the standard convo- lutional block of C... |
1507.03471 | Lukas Zilka | Lukas Zilka, Filip Jurcicek | Incremental LSTM-based Dialog State Tracker | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A dialog state tracker is an important component in modern spoken dialog
systems. We present an incremental dialog state tracker, based on LSTM
networks. It directly uses automatic speech recognition hypotheses to track the
state. We also present the key non-standard aspects of the model that bring its
performance cl... | [
{
"created": "Mon, 13 Jul 2015 14:27:16 GMT",
"version": "v1"
}
] | 2015-07-14 | [
[
"Zilka",
"Lukas",
""
],
[
"Jurcicek",
"Filip",
""
]
] | A dialog state tracker is an important component in modern spoken dialog systems. We present an incremental dialog state tracker, based on LSTM networks. It directly uses automatic speech recognition hypotheses to track the state. We also present the key non-standard aspects of the model that bring its performance clos... |
2201.12245 | Alexander Korotin | Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev | Wasserstein Iterative Networks for Barycenter Estimation | 36th Conference on Neural Information Processing Systems (NeurIPS
2022) | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wasserstein barycenters have become popular due to their ability to represent
the average of probability measures in a geometrically meaningful way. In this
paper, we present an algorithm to approximate the Wasserstein-2 barycenters of
continuous measures via a generative model. Previous approaches rely on
regulariza... | [
{
"created": "Fri, 28 Jan 2022 16:59:47 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Jan 2023 09:42:25 GMT",
"version": "v2"
}
] | 2023-01-10 | [
[
"Korotin",
"Alexander",
""
],
[
"Egiazarian",
"Vage",
""
],
[
"Li",
"Lingxiao",
""
],
[
"Burnaev",
"Evgeny",
""
]
] | Wasserstein barycenters have become popular due to their ability to represent the average of probability measures in a geometrically meaningful way. In this paper, we present an algorithm to approximate the Wasserstein-2 barycenters of continuous measures via a generative model. Previous approaches rely on regularizati... |
1804.10973 | Yuming Jiang | Yuming Jiang | A Basic Result on the Superposition of Arrival Processes in
Deterministic Networks | null | null | null | null | cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Time-Sensitive Networking (TSN) and Deterministic Networking (DetNet) are
emerging standards to enable deterministic, delay-critical communication in
such networks. This naturally (re-)calls attention to the network calculus
theory (NC), since a rich set of results for delay guarantee analysis have
already been devel... | [
{
"created": "Sun, 29 Apr 2018 18:22:13 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Sep 2018 14:37:35 GMT",
"version": "v2"
}
] | 2018-10-02 | [
[
"Jiang",
"Yuming",
""
]
] | Time-Sensitive Networking (TSN) and Deterministic Networking (DetNet) are emerging standards to enable deterministic, delay-critical communication in such networks. This naturally (re-)calls attention to the network calculus theory (NC), since a rich set of results for delay guarantee analysis have already been develop... |
1606.03398 | Lidong Bing | Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William
W. Cohen | Bootstrapping Distantly Supervised IE using Joint Learning and Small
Well-structured Corpora | 10 pages, 5 figures | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a framework to improve performance of distantly-supervised
relation extraction, by jointly learning to solve two related tasks:
concept-instance extraction and relation extraction. We combine this with a
novel use of document structure: in some small, well-structured corpora,
sections can be identified tha... | [
{
"created": "Fri, 10 Jun 2016 17:14:11 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Aug 2016 01:22:30 GMT",
"version": "v2"
}
] | 2016-08-12 | [
[
"Bing",
"Lidong",
""
],
[
"Dhingra",
"Bhuwan",
""
],
[
"Mazaitis",
"Kathryn",
""
],
[
"Park",
"Jong Hyuk",
""
],
[
"Cohen",
"William W.",
""
]
] | We propose a framework to improve performance of distantly-supervised relation extraction, by jointly learning to solve two related tasks: concept-instance extraction and relation extraction. We combine this with a novel use of document structure: in some small, well-structured corpora, sections can be identified that ... |
1705.03821 | Djallel Bouneffouf | Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphael Feraud | Context Attentive Bandits: Contextual Bandit with Restricted Context | IJCAI 2017 | null | null | null | cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a novel formulation of the multi-armed bandit model, which we
call the contextual bandit with restricted context, where only a limited number
of features can be accessed by the learner at every iteration. This novel
formulation is motivated by different online problems arising in clinical
trials, recommen... | [
{
"created": "Wed, 10 May 2017 15:32:36 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Jun 2017 18:40:28 GMT",
"version": "v2"
}
] | 2017-06-09 | [
[
"Bouneffouf",
"Djallel",
""
],
[
"Rish",
"Irina",
""
],
[
"Cecchi",
"Guillermo A.",
""
],
[
"Feraud",
"Raphael",
""
]
] | We consider a novel formulation of the multi-armed bandit model, which we call the contextual bandit with restricted context, where only a limited number of features can be accessed by the learner at every iteration. This novel formulation is motivated by different online problems arising in clinical trials, recommende... |
2406.12347 | Nirmalendu Prakash | Nirmalendu Prakash and Lee Ka Wei Roy | Interpreting Bias in Large Language Models: A Feature-Based Approach | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large Language Models (LLMs) such as Mistral and LLaMA have showcased
remarkable performance across various natural language processing (NLP) tasks.
Despite their success, these models inherit social biases from the diverse
datasets on which they are trained. This paper investigates the propagation of
biases within L... | [
{
"created": "Tue, 18 Jun 2024 07:28:15 GMT",
"version": "v1"
}
] | 2024-06-19 | [
[
"Prakash",
"Nirmalendu",
""
],
[
"Roy",
"Lee Ka Wei",
""
]
] | Large Language Models (LLMs) such as Mistral and LLaMA have showcased remarkable performance across various natural language processing (NLP) tasks. Despite their success, these models inherit social biases from the diverse datasets on which they are trained. This paper investigates the propagation of biases within LLM... |
2310.06342 | Yubo Zhang | Yubo Zhang, Yanfang Liu, Xinxin Fan, Yunfeng Lu | Contrastive Prompt Learning-based Code Search based on Interaction
Matrix | null | null | null | null | cs.SE cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Code search aims to retrieve the code snippet that highly matches the given
query described in natural language. Recently, many code pre-training
approaches have demonstrated impressive performance on code search. However,
existing code search methods still suffer from two performance constraints:
inadequate semantic... | [
{
"created": "Tue, 10 Oct 2023 06:24:52 GMT",
"version": "v1"
}
] | 2023-10-11 | [
[
"Zhang",
"Yubo",
""
],
[
"Liu",
"Yanfang",
""
],
[
"Fan",
"Xinxin",
""
],
[
"Lu",
"Yunfeng",
""
]
] | Code search aims to retrieve the code snippet that highly matches the given query described in natural language. Recently, many code pre-training approaches have demonstrated impressive performance on code search. However, existing code search methods still suffer from two performance constraints: inadequate semantic r... |
2212.03054 | Mark Basham FInstP PhD | Gabryel Mason-Williams, Dave Bond and Mark Basham | DisTRaC: Accelerating High Performance Compute Processing for Temporary
Data Storage | 5 pages, 4 figures | null | null | null | cs.DC cs.OS | http://creativecommons.org/licenses/by/4.0/ | High Performance Compute (HPC) clusters often produce intermediate files as
part of code execution and message passing is not always possible to supply
data to these cluster jobs. In these cases, I/O goes back to central
distributed storage to allow cross node data sharing. These systems are often
high performance an... | [
{
"created": "Tue, 6 Dec 2022 15:31:20 GMT",
"version": "v1"
}
] | 2022-12-07 | [
[
"Mason-Williams",
"Gabryel",
""
],
[
"Bond",
"Dave",
""
],
[
"Basham",
"Mark",
""
]
] | High Performance Compute (HPC) clusters often produce intermediate files as part of code execution and message passing is not always possible to supply data to these cluster jobs. In these cases, I/O goes back to central distributed storage to allow cross node data sharing. These systems are often high performance and ... |
1702.05581 | Chicheng Zhang | Songbai Yan and Chicheng Zhang | Revisiting Perceptron: Efficient and Label-Optimal Learning of
Halfspaces | NIPS 2017 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It has been a long-standing problem to efficiently learn a halfspace using as
few labels as possible in the presence of noise. In this work, we propose an
efficient Perceptron-based algorithm for actively learning homogeneous
halfspaces under the uniform distribution over the unit sphere. Under the
bounded noise cond... | [
{
"created": "Sat, 18 Feb 2017 07:26:08 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Nov 2017 15:01:39 GMT",
"version": "v2"
}
] | 2017-11-07 | [
[
"Yan",
"Songbai",
""
],
[
"Zhang",
"Chicheng",
""
]
] | It has been a long-standing problem to efficiently learn a halfspace using as few labels as possible in the presence of noise. In this work, we propose an efficient Perceptron-based algorithm for actively learning homogeneous halfspaces under the uniform distribution over the unit sphere. Under the bounded noise condit... |
2201.09394 | Zhijian Li | Zhijian Li, Jack Xin, Guofa Zhou | An integrated recurrent neural network and regression model with spatial
and climatic couplings for vector-borne disease dynamics | null | null | null | null | cs.LG cs.NA math.NA q-bio.PE q-bio.QM | http://creativecommons.org/licenses/by/4.0/ | We developed an integrated recurrent neural network and nonlinear regression
spatio-temporal model for vector-borne disease evolution. We take into account
climate data and seasonality as external factors that correlate with disease
transmitting insects (e.g. flies), also spill-over infections from neighboring
region... | [
{
"created": "Sun, 23 Jan 2022 23:04:58 GMT",
"version": "v1"
}
] | 2022-01-25 | [
[
"Li",
"Zhijian",
""
],
[
"Xin",
"Jack",
""
],
[
"Zhou",
"Guofa",
""
]
] | We developed an integrated recurrent neural network and nonlinear regression spatio-temporal model for vector-borne disease evolution. We take into account climate data and seasonality as external factors that correlate with disease transmitting insects (e.g. flies), also spill-over infections from neighboring regions ... |
2303.11949 | Farshid Keivanian | Farshid Keivanian, Raymond Chiong, and Zongwen Fan | A fuzzy adaptive evolutionary-based feature selection and machine
learning framework for single and multi-objective body fat prediction | Thirty pages, 17 figures, and 11 tables | null | null | null | cs.NE cs.LG | http://creativecommons.org/licenses/by/4.0/ | Predicting body fat can provide medical practitioners and users with
essential information for preventing and diagnosing heart diseases. Hybrid
machine learning models offer better performance than simple regression
analysis methods by selecting relevant body measurements and capturing complex
nonlinear relationships... | [
{
"created": "Mon, 20 Mar 2023 07:38:57 GMT",
"version": "v1"
}
] | 2023-03-22 | [
[
"Keivanian",
"Farshid",
""
],
[
"Chiong",
"Raymond",
""
],
[
"Fan",
"Zongwen",
""
]
] | Predicting body fat can provide medical practitioners and users with essential information for preventing and diagnosing heart diseases. Hybrid machine learning models offer better performance than simple regression analysis methods by selecting relevant body measurements and capturing complex nonlinear relationships a... |
2307.10292 | Rainer Rehak | Rainer Rehak | The Language Labyrinth: Constructive Critique on the Terminology Used in
the AI Discourse | 16 pages | In: Verdegem, P (ed.), AI for Everyone?. London: University of
Westminster Press (2021) | 10.16997/book55.f | null | cs.CY cs.AI cs.CL cs.NE | http://creativecommons.org/licenses/by/4.0/ | In the interdisciplinary field of artificial intelligence (AI) the problem of
clear terminology is especially momentous. This paper claims, that AI debates
are still characterised by a lack of critical distance to metaphors like
'training', 'learning' or 'deciding'. As consequence, reflections regarding
responsibilit... | [
{
"created": "Tue, 18 Jul 2023 14:32:21 GMT",
"version": "v1"
}
] | 2023-07-21 | [
[
"Rehak",
"Rainer",
""
]
] | In the interdisciplinary field of artificial intelligence (AI) the problem of clear terminology is especially momentous. This paper claims, that AI debates are still characterised by a lack of critical distance to metaphors like 'training', 'learning' or 'deciding'. As consequence, reflections regarding responsibility ... |
1412.5836 | Kevin Duh | Daniel Fried and Kevin Duh | Incorporating Both Distributional and Relational Semantics in Word
Representations | Accepted as a workshop contribution at ICLR2015. Long version at:
arXiv:1412.4369 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the hypothesis that word representations ought to incorporate
both distributional and relational semantics. To this end, we employ the
Alternating Direction Method of Multipliers (ADMM), which flexibly optimizes a
distributional objective on raw text and a relational objective on WordNet.
Preliminary r... | [
{
"created": "Thu, 18 Dec 2014 12:30:55 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Feb 2015 17:18:34 GMT",
"version": "v2"
},
{
"created": "Sat, 21 Mar 2015 13:27:28 GMT",
"version": "v3"
}
] | 2015-03-24 | [
[
"Fried",
"Daniel",
""
],
[
"Duh",
"Kevin",
""
]
] | We investigate the hypothesis that word representations ought to incorporate both distributional and relational semantics. To this end, we employ the Alternating Direction Method of Multipliers (ADMM), which flexibly optimizes a distributional objective on raw text and a relational objective on WordNet. Preliminary res... |
2306.14750 | Alfonso Iacovazzi | Alfonso Iacovazzi and Shahid Raza | Ensemble of Random and Isolation Forests for Graph-Based Intrusion
Detection in Containers | null | 2022 IEEE International Conference on Cyber Security and
Resilience (CSR), Rhodes, Greece, 2022, pp. 30-37 | 10.1109/CSR54599.2022.9850307 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel solution combining supervised and unsupervised machine
learning models for intrusion detection at kernel level in cloud containers. In
particular, the proposed solution is built over an ensemble of random and
isolation forests trained on sequences of system calls that are collected at
the hosting m... | [
{
"created": "Mon, 26 Jun 2023 15:05:18 GMT",
"version": "v1"
}
] | 2023-06-27 | [
[
"Iacovazzi",
"Alfonso",
""
],
[
"Raza",
"Shahid",
""
]
] | We propose a novel solution combining supervised and unsupervised machine learning models for intrusion detection at kernel level in cloud containers. In particular, the proposed solution is built over an ensemble of random and isolation forests trained on sequences of system calls that are collected at the hosting mac... |
2303.03393 | Shengtong Zhang | Shengtong Zhang, Daniel W. Apley | Interpretable Architecture Neural Networks for Function Visualization | null | null | null | null | cs.LG cs.HC stat.ME stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In many scientific research fields, understanding and visualizing a black-box
function in terms of the effects of all the input variables is of great
importance. Existing visualization tools do not allow one to visualize the
effects of all the input variables simultaneously. Although one can select one
or two of the ... | [
{
"created": "Fri, 3 Mar 2023 21:09:30 GMT",
"version": "v1"
}
] | 2023-03-08 | [
[
"Zhang",
"Shengtong",
""
],
[
"Apley",
"Daniel W.",
""
]
] | In many scientific research fields, understanding and visualizing a black-box function in terms of the effects of all the input variables is of great importance. Existing visualization tools do not allow one to visualize the effects of all the input variables simultaneously. Although one can select one or two of the in... |
2012.10812 | Rishab Parthasarathy | Rishab Parthasarathy and Rohan Bhowmik | Quantum Optical Convolutional Neural Network: A Novel Image Recognition
Framework for Quantum Computing | 9 pages, 6 figures | IEEE Access (2021) | 10.1109/ACCESS.2021.3098775 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large machine learning models based on Convolutional Neural Networks (CNNs)
with rapidly increasing number of parameters, trained with massive amounts of
data, are being deployed in a wide array of computer vision tasks from
self-driving cars to medical imaging. The insatiable demand for computing
resources required ... | [
{
"created": "Sat, 19 Dec 2020 23:10:04 GMT",
"version": "v1"
}
] | 2021-10-14 | [
[
"Parthasarathy",
"Rishab",
""
],
[
"Bhowmik",
"Rohan",
""
]
] | Large machine learning models based on Convolutional Neural Networks (CNNs) with rapidly increasing number of parameters, trained with massive amounts of data, are being deployed in a wide array of computer vision tasks from self-driving cars to medical imaging. The insatiable demand for computing resources required to... |
2310.13998 | Pierre Colombo | Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan,
Myriam Tami, Ismail Ben Ayed, Celine Hudelot, Pablo Piantanida | Transductive Learning for Textual Few-Shot Classification in API-based
Embedding Models | EMNLP 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Proprietary and closed APIs are becoming increasingly common to process
natural language, and are impacting the practical applications of natural
language processing, including few-shot classification. Few-shot classification
involves training a model to perform a new classification task with a handful
of labeled dat... | [
{
"created": "Sat, 21 Oct 2023 12:47:10 GMT",
"version": "v1"
}
] | 2023-10-24 | [
[
"Colombo",
"Pierre",
""
],
[
"Pellegrain",
"Victor",
""
],
[
"Boudiaf",
"Malik",
""
],
[
"Storchan",
"Victor",
""
],
[
"Tami",
"Myriam",
""
],
[
"Ayed",
"Ismail Ben",
""
],
[
"Hudelot",
"Celine",
""
],
... | Proprietary and closed APIs are becoming increasingly common to process natural language, and are impacting the practical applications of natural language processing, including few-shot classification. Few-shot classification involves training a model to perform a new classification task with a handful of labeled data.... |
2102.12620 | Zhaoxia Yin | Wenjing Ma, Youqing Wu, and Zhaoxia Yin | High-Capacity Reversible Data Hiding in Encrypted Images using Adaptive
Encoding | null | null | null | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the popularization of digital information technology, the reversible
data hiding in encrypted images (RDHEI) has gradually become the research
hotspot of privacy protection in cloud storage. As a technology which can embed
additional information in encrypted domain, extract the embedded information
correctly and... | [
{
"created": "Thu, 25 Feb 2021 01:29:26 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Oct 2021 10:46:22 GMT",
"version": "v2"
}
] | 2021-10-11 | [
[
"Ma",
"Wenjing",
""
],
[
"Wu",
"Youqing",
""
],
[
"Yin",
"Zhaoxia",
""
]
] | With the popularization of digital information technology, the reversible data hiding in encrypted images (RDHEI) has gradually become the research hotspot of privacy protection in cloud storage. As a technology which can embed additional information in encrypted domain, extract the embedded information correctly and r... |
2403.10658 | Zhe Huang | Zhe Huang, Xiaowei Yu, Dajiang Zhu, Michael C. Hughes | InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance
Semi-Supervised Learning | Semi-supervised Learning; Vision Transformers | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Semi-supervised learning (SSL) seeks to enhance task performance by training
on both labeled and unlabeled data. Mainstream SSL image classification methods
mostly optimize a loss that additively combines a supervised classification
objective with a regularization term derived solely from unlabeled data. This
formula... | [
{
"created": "Fri, 15 Mar 2024 19:54:10 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Huang",
"Zhe",
""
],
[
"Yu",
"Xiaowei",
""
],
[
"Zhu",
"Dajiang",
""
],
[
"Hughes",
"Michael C.",
""
]
] | Semi-supervised learning (SSL) seeks to enhance task performance by training on both labeled and unlabeled data. Mainstream SSL image classification methods mostly optimize a loss that additively combines a supervised classification objective with a regularization term derived solely from unlabeled data. This formulati... |
2408.07533 | Zhaolu Liu | Zhaolu Liu, Mauricio Barahona, Robert L. Peach | Information-Theoretic Measures on Lattices for High-Order Interactions | 22 pages, 13 figures | null | null | null | cs.IT math.IT stat.ML | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Traditional models reliant solely on pairwise associations often prove
insufficient in capturing the complex statistical structure inherent in
multivariate data. Yet existing methods for identifying information shared
among groups of $d>3$ variables are often intractable; asymmetric around a
target variable; or unabl... | [
{
"created": "Wed, 14 Aug 2024 13:04:34 GMT",
"version": "v1"
}
] | 2024-08-15 | [
[
"Liu",
"Zhaolu",
""
],
[
"Barahona",
"Mauricio",
""
],
[
"Peach",
"Robert L.",
""
]
] | Traditional models reliant solely on pairwise associations often prove insufficient in capturing the complex statistical structure inherent in multivariate data. Yet existing methods for identifying information shared among groups of $d>3$ variables are often intractable; asymmetric around a target variable; or unable ... |
2310.18301 | Yuxiao Chen | Yuxiao Chen, Sushant Veer, Peter Karkus, and Marco Pavone | Interactive Joint Planning for Autonomous Vehicles | null | null | null | null | cs.RO cs.AI cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | In highly interactive driving scenarios, the actions of one agent greatly
influences those of its neighbors. Planning safe motions for autonomous
vehicles in such interactive environments, therefore, requires reasoning about
the impact of the ego's intended motion plan on nearby agents' behavior.
Deep-learning-based ... | [
{
"created": "Fri, 27 Oct 2023 17:48:25 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Nov 2023 04:11:44 GMT",
"version": "v2"
},
{
"created": "Wed, 15 Nov 2023 04:33:59 GMT",
"version": "v3"
},
{
"created": "Wed, 22 Nov 2023 22:25:54 GMT",
"version": "v4"
}
] | 2023-11-27 | [
[
"Chen",
"Yuxiao",
""
],
[
"Veer",
"Sushant",
""
],
[
"Karkus",
"Peter",
""
],
[
"Pavone",
"Marco",
""
]
] | In highly interactive driving scenarios, the actions of one agent greatly influences those of its neighbors. Planning safe motions for autonomous vehicles in such interactive environments, therefore, requires reasoning about the impact of the ego's intended motion plan on nearby agents' behavior. Deep-learning-based mo... |
2009.14487 | Arash Akbarinia | Arash Akbarinia, Raquel Gil-Rodr\'iguez, Alban Flachot and Matteo
Toscani | The Utility of Decorrelating Colour Spaces in Vector Quantised
Variational Autoencoders | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vector quantised variational autoencoders (VQ-VAE) are characterised by three
main components: 1) encoding visual data, 2) assigning $k$ different vectors in
the so-called embedding space, and 3) decoding the learnt features. While
images are often represented in RGB colour space, the specific organisation of
colours... | [
{
"created": "Wed, 30 Sep 2020 07:44:01 GMT",
"version": "v1"
}
] | 2020-10-01 | [
[
"Akbarinia",
"Arash",
""
],
[
"Gil-Rodríguez",
"Raquel",
""
],
[
"Flachot",
"Alban",
""
],
[
"Toscani",
"Matteo",
""
]
] | Vector quantised variational autoencoders (VQ-VAE) are characterised by three main components: 1) encoding visual data, 2) assigning $k$ different vectors in the so-called embedding space, and 3) decoding the learnt features. While images are often represented in RGB colour space, the specific organisation of colours i... |
1505.02810 | Paola Focchini | Amir Afrasiabi Rad, Paola Flocchini, Joanne Gaudet | Tempus Fugit: The Impact of Time in Knowledge Mobilization Networks | null | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The temporal component of social networks is often neglected in their
analysis, and statistical measures are typically performed on a "static"
representation of the network. As a result, measures of importance (like
betweenness centrality) cannot reveal any temporal role of the entities
involved. Our goal is to start... | [
{
"created": "Mon, 11 May 2015 21:31:24 GMT",
"version": "v1"
}
] | 2015-05-13 | [
[
"Rad",
"Amir Afrasiabi",
""
],
[
"Flocchini",
"Paola",
""
],
[
"Gaudet",
"Joanne",
""
]
] | The temporal component of social networks is often neglected in their analysis, and statistical measures are typically performed on a "static" representation of the network. As a result, measures of importance (like betweenness centrality) cannot reveal any temporal role of the entities involved. Our goal is to start f... |
1810.00349 | Kaz{\i}m R{\i}fat \"Ozy{\i}lmaz | Kaz{\i}m R{\i}fat \"Ozy{\i}lmaz, Mehmet Do\u{g}an, Arda Yurdakul | IDMoB: IoT Data Marketplace on Blockchain | Presented at Crypto Valley Conference on Blockchain Technology (CVCBT
2018), 20-22 June 2018 - published version may differ | null | 10.1109/CVCBT.2018.00007 | null | cs.CR cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Today, Internet of Things (IoT) devices are the powerhouse of data generation
with their ever-increasing numbers and widespread penetration. Similarly,
artificial intelligence (AI) and machine learning (ML) solutions are getting
integrated to all kinds of services, making products significantly more
"smarter". The ce... | [
{
"created": "Sun, 30 Sep 2018 09:42:11 GMT",
"version": "v1"
}
] | 2019-01-21 | [
[
"Özyılmaz",
"Kazım Rıfat",
""
],
[
"Doğan",
"Mehmet",
""
],
[
"Yurdakul",
"Arda",
""
]
] | Today, Internet of Things (IoT) devices are the powerhouse of data generation with their ever-increasing numbers and widespread penetration. Similarly, artificial intelligence (AI) and machine learning (ML) solutions are getting integrated to all kinds of services, making products significantly more "smarter". The cent... |
2110.00183 | Vithya Yogarajan | Vithya Yogarajan and Jacob Montiel and Tony Smith and Bernhard
Pfahringer | Predicting COVID-19 Patient Shielding: A Comprehensive Study | Accepted in AJCAI 2021 | The 2021 Australasian Joint Conference on Artificial Intelligence
(AJCAI 2021) | 10.1007/978-3-030-97546-3_27 | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | There are many ways machine learning and big data analytics are used in the
fight against the COVID-19 pandemic, including predictions, risk management,
diagnostics, and prevention. This study focuses on predicting COVID-19 patient
shielding -- identifying and protecting patients who are clinically extremely
vulnerab... | [
{
"created": "Fri, 1 Oct 2021 03:02:58 GMT",
"version": "v1"
}
] | 2022-04-19 | [
[
"Yogarajan",
"Vithya",
""
],
[
"Montiel",
"Jacob",
""
],
[
"Smith",
"Tony",
""
],
[
"Pfahringer",
"Bernhard",
""
]
] | There are many ways machine learning and big data analytics are used in the fight against the COVID-19 pandemic, including predictions, risk management, diagnostics, and prevention. This study focuses on predicting COVID-19 patient shielding -- identifying and protecting patients who are clinically extremely vulnerable... |
2112.14513 | Ibrahima N'Doye | Fahad Aljehani, Ibrahima N'Doye, Micaela S. Justo, John E. Majoris,
Michael L. Berumen, Taous-Meriem Laleg-Kirati | Spatial Distribution Patterns of Clownfish in Recirculating Aquaculture
Systems | 14 pages, 15 figures | null | null | null | cs.CV cs.SY eess.SY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Successful aquaculture systems can reduce the pressure and help secure the
most diverse and productive Red Sea coral reef ecosystem to maintain a healthy
and functional ecosystem within a sustainable blue economy. Interestingly,
recirculating aquaculture systems are currently emerging in fish farm
production practice... | [
{
"created": "Wed, 29 Dec 2021 11:39:56 GMT",
"version": "v1"
},
{
"created": "Mon, 11 Apr 2022 14:45:07 GMT",
"version": "v2"
},
{
"created": "Mon, 19 Dec 2022 10:40:01 GMT",
"version": "v3"
}
] | 2022-12-20 | [
[
"Aljehani",
"Fahad",
""
],
[
"N'Doye",
"Ibrahima",
""
],
[
"Justo",
"Micaela S.",
""
],
[
"Majoris",
"John E.",
""
],
[
"Berumen",
"Michael L.",
""
],
[
"Laleg-Kirati",
"Taous-Meriem",
""
]
] | Successful aquaculture systems can reduce the pressure and help secure the most diverse and productive Red Sea coral reef ecosystem to maintain a healthy and functional ecosystem within a sustainable blue economy. Interestingly, recirculating aquaculture systems are currently emerging in fish farm production practices.... |
1706.09192 | Wee Peng Tay | Feng Ji and Wenchang Tang and Wee Peng Tay and Edwin K. P. Chong | Network Topology Inference Using Information Cascades with Limited
Statistical Knowledge | null | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of inferring network topology from information cascades,
in which the amount of time taken for information to diffuse across an edge in
the network follows an unknown distribution. Unlike previous studies, which
assume knowledge of these distributions, we only require that diffusion along
differe... | [
{
"created": "Wed, 28 Jun 2017 09:55:17 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Mar 2019 14:50:49 GMT",
"version": "v2"
}
] | 2019-03-05 | [
[
"Ji",
"Feng",
""
],
[
"Tang",
"Wenchang",
""
],
[
"Tay",
"Wee Peng",
""
],
[
"Chong",
"Edwin K. P.",
""
]
] | We study the problem of inferring network topology from information cascades, in which the amount of time taken for information to diffuse across an edge in the network follows an unknown distribution. Unlike previous studies, which assume knowledge of these distributions, we only require that diffusion along different... |
1811.07392 | Sarah Ostadabbas | Yu Yin, Mohsen Nabian, Miolin Fan, ChunAn Chou, Maria Gendron, Sarah
Ostadabbas | Facial Expression and Peripheral Physiology Fusion to Decode
Individualized Affective Experience | 2nd IJCAI Workshop on Artificial Intelligence in Affective Computing | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a multimodal approach to simultaneously analyze
facial movements and several peripheral physiological signals to decode
individualized affective experiences under positive and negative emotional
contexts, while considering their personalized resting dynamics. We propose a
person-specific rec... | [
{
"created": "Sun, 18 Nov 2018 20:10:47 GMT",
"version": "v1"
}
] | 2018-11-20 | [
[
"Yin",
"Yu",
""
],
[
"Nabian",
"Mohsen",
""
],
[
"Fan",
"Miolin",
""
],
[
"Chou",
"ChunAn",
""
],
[
"Gendron",
"Maria",
""
],
[
"Ostadabbas",
"Sarah",
""
]
] | In this paper, we present a multimodal approach to simultaneously analyze facial movements and several peripheral physiological signals to decode individualized affective experiences under positive and negative emotional contexts, while considering their personalized resting dynamics. We propose a person-specific recur... |
2312.02392 | Neelofar Neelofar | Neelofar Neelofar, Kate Smith-Miles, Mario Andres Munoz, Aldeida Aleti | Instance Space Analysis of Search-Based Software Testing | null | IEEE Transactions on Software Engineering, 49(4), 2642-2660 (2022) | 10.1109/TSE.2022.3228334 | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Search-based software testing (SBST) is now a mature area, with numerous
techniques developed to tackle the challenging task of software testing. SBST
techniques have shown promising results and have been successfully applied in
the industry to automatically generate test cases for large and complex
software systems.... | [
{
"created": "Mon, 4 Dec 2023 23:12:52 GMT",
"version": "v1"
}
] | 2023-12-06 | [
[
"Neelofar",
"Neelofar",
""
],
[
"Smith-Miles",
"Kate",
""
],
[
"Munoz",
"Mario Andres",
""
],
[
"Aleti",
"Aldeida",
""
]
] | Search-based software testing (SBST) is now a mature area, with numerous techniques developed to tackle the challenging task of software testing. SBST techniques have shown promising results and have been successfully applied in the industry to automatically generate test cases for large and complex software systems. T... |
1207.3099 | Kishore Kothapalli | Kishore Kothapalli, Sriram Pemmaraju | Super-Fast 3-Ruling Sets | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A $t$-ruling set of a graph $G = (V, E)$ is a vertex-subset $S \subseteq V$
that is independent and satisfies the property that every vertex $v \in V$ is
at a distance of at most $t$ from some vertex in $S$. A \textit{maximal
independent set (MIS)} is a 1-ruling set. The problem of computing an MIS on a
network is a ... | [
{
"created": "Thu, 12 Jul 2012 21:02:17 GMT",
"version": "v1"
}
] | 2012-07-16 | [
[
"Kothapalli",
"Kishore",
""
],
[
"Pemmaraju",
"Sriram",
""
]
] | A $t$-ruling set of a graph $G = (V, E)$ is a vertex-subset $S \subseteq V$ that is independent and satisfies the property that every vertex $v \in V$ is at a distance of at most $t$ from some vertex in $S$. A \textit{maximal independent set (MIS)} is a 1-ruling set. The problem of computing an MIS on a network is a fu... |
2304.13343 | Xinnian Liang | Bing Wang, Xinnian Liang, Jian Yang, Hui Huang, Shuangzhi Wu, Peihao
Wu, Lu Lu, Zejun Ma, Zhoujun Li | Enhancing Large Language Model with Self-Controlled Memory Framework | under preview | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Large Language Models (LLMs) are constrained by their inability to process
lengthy inputs, resulting in the loss of critical historical information. To
address this limitation, in this paper, we propose the Self-Controlled Memory
(SCM) framework to enhance the ability of LLMs to maintain long-term memory and
recall r... | [
{
"created": "Wed, 26 Apr 2023 07:25:31 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Feb 2024 16:01:39 GMT",
"version": "v2"
}
] | 2024-02-16 | [
[
"Wang",
"Bing",
""
],
[
"Liang",
"Xinnian",
""
],
[
"Yang",
"Jian",
""
],
[
"Huang",
"Hui",
""
],
[
"Wu",
"Shuangzhi",
""
],
[
"Wu",
"Peihao",
""
],
[
"Lu",
"Lu",
""
],
[
"Ma",
"Zejun",
""
... | Large Language Models (LLMs) are constrained by their inability to process lengthy inputs, resulting in the loss of critical historical information. To address this limitation, in this paper, we propose the Self-Controlled Memory (SCM) framework to enhance the ability of LLMs to maintain long-term memory and recall rel... |
1404.7528 | Ana Mihut | Rob Ashmore | The Utility and Practicality of Quantifying Software Reliability | EDCC-2014, AESSCS 2014 | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We argue that quantifying software reliability is important in demonstrating
that system-level risks are As Low As Reasonably Practicable (ALARP).
Furthermore, we demonstrate that such quantification is possible in at least
one meaningful case. It is, however, unlikely to be practical in every case.
This means it is ... | [
{
"created": "Tue, 29 Apr 2014 20:55:28 GMT",
"version": "v1"
},
{
"created": "Wed, 7 May 2014 22:22:22 GMT",
"version": "v2"
}
] | 2014-05-09 | [
[
"Ashmore",
"Rob",
""
]
] | We argue that quantifying software reliability is important in demonstrating that system-level risks are As Low As Reasonably Practicable (ALARP). Furthermore, we demonstrate that such quantification is possible in at least one meaningful case. It is, however, unlikely to be practical in every case. This means it is un... |
2310.13893 | Erfan Darzi | Erfan Darzi, Florian Dubost, Nanna. M. Sijtsema, P.M.A van Ooijen | The Hidden Adversarial Vulnerabilities of Medical Federated Learning | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this paper, we delve into the susceptibility of federated medical image
analysis systems to adversarial attacks. Our analysis uncovers a novel
exploitation avenue: using gradient information from prior global model
updates, adversaries can enhance the efficiency and transferability of their
attacks. Specifically, ... | [
{
"created": "Sat, 21 Oct 2023 02:21:39 GMT",
"version": "v1"
}
] | 2023-10-24 | [
[
"Darzi",
"Erfan",
""
],
[
"Dubost",
"Florian",
""
],
[
"Sijtsema",
"Nanna. M.",
""
],
[
"van Ooijen",
"P. M. A",
""
]
] | In this paper, we delve into the susceptibility of federated medical image analysis systems to adversarial attacks. Our analysis uncovers a novel exploitation avenue: using gradient information from prior global model updates, adversaries can enhance the efficiency and transferability of their attacks. Specifically, we... |
2112.01603 | Ozkan Kilic | Hugo Latapie, Ozkan Kilic, Kristinn R. Thorisson, Pei Wang, Patrick
Hammer | Neurosymbolic Systems of Perception & Cognition: The Role of Attention | null | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | A cognitive architecture aimed at cumulative learning must provide the
necessary information and control structures to allow agents to learn
incrementally and autonomously from their experience. This involves managing an
agent's goals as well as continuously relating sensory information to these in
its perception-cog... | [
{
"created": "Thu, 2 Dec 2021 20:53:14 GMT",
"version": "v1"
}
] | 2021-12-06 | [
[
"Latapie",
"Hugo",
""
],
[
"Kilic",
"Ozkan",
""
],
[
"Thorisson",
"Kristinn R.",
""
],
[
"Wang",
"Pei",
""
],
[
"Hammer",
"Patrick",
""
]
] | A cognitive architecture aimed at cumulative learning must provide the necessary information and control structures to allow agents to learn incrementally and autonomously from their experience. This involves managing an agent's goals as well as continuously relating sensory information to these in its perception-cogni... |
2009.08958 | Olegs Verhodubs | Olegs Verhodubs | Keyword Search Engine Enriched by Expert System Features | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Keyword search engines are essential elements of large information spaces.
The largest information space is the Web, and keyword search engines play
crucial role there. The advent of keyword search engines has provided a quantum
leap in the development of the Web. Since then, the Web has continued to
evolve, and keyw... | [
{
"created": "Fri, 28 Aug 2020 20:23:23 GMT",
"version": "v1"
}
] | 2020-09-21 | [
[
"Verhodubs",
"Olegs",
""
]
] | Keyword search engines are essential elements of large information spaces. The largest information space is the Web, and keyword search engines play crucial role there. The advent of keyword search engines has provided a quantum leap in the development of the Web. Since then, the Web has continued to evolve, and keywor... |
1802.05409 | Tao Wang | Tao Wang | Optimizing Precision for Open-World Website Fingerprinting | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by-sa/4.0/ | Traffic analysis attacks to identify which web page a client is browsing,
using only her packet metadata --- known as website fingerprinting --- has been
proven effective in closed-world experiments against privacy technologies like
Tor. However, due to the base rate fallacy, these attacks have failed in large
open-w... | [
{
"created": "Thu, 15 Feb 2018 05:25:10 GMT",
"version": "v1"
}
] | 2018-02-16 | [
[
"Wang",
"Tao",
""
]
] | Traffic analysis attacks to identify which web page a client is browsing, using only her packet metadata --- known as website fingerprinting --- has been proven effective in closed-world experiments against privacy technologies like Tor. However, due to the base rate fallacy, these attacks have failed in large open-wor... |
1803.09356 | Bart Jacobs | Bart Jacobs and David Sprunger | Neural Nets via Forward State Transformation and Backward Loss
Transformation | null | null | null | null | cs.NE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article studies (multilayer perceptron) neural networks with an emphasis
on the transformations involved --- both forward and backward --- in order to
develop a semantical/logical perspective that is in line with standard program
semantics. The common two-pass neural network training algorithms make this
viewpoi... | [
{
"created": "Sun, 25 Mar 2018 22:01:32 GMT",
"version": "v1"
}
] | 2018-03-28 | [
[
"Jacobs",
"Bart",
""
],
[
"Sprunger",
"David",
""
]
] | This article studies (multilayer perceptron) neural networks with an emphasis on the transformations involved --- both forward and backward --- in order to develop a semantical/logical perspective that is in line with standard program semantics. The common two-pass neural network training algorithms make this viewpoint... |
1502.04341 | Nicolai Vorobjov | Nicolai Vorobjov and Andrei Gabrielov | On topological lower bounds for algebraic computation trees | 10 pages, minor editorial corrections | null | null | null | cs.CC math.AT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove that the height of any algebraic computation tree for deciding
membership in a semialgebraic set is bounded from below (up to a multiplicative
constant) by the logarithm of m-th Betti number (with respect to singular
homology) of the set, divided by m+1. This result complements the well known
lower bound by ... | [
{
"created": "Sun, 15 Feb 2015 18:03:11 GMT",
"version": "v1"
},
{
"created": "Sun, 16 Aug 2015 16:35:06 GMT",
"version": "v2"
}
] | 2015-08-18 | [
[
"Vorobjov",
"Nicolai",
""
],
[
"Gabrielov",
"Andrei",
""
]
] | We prove that the height of any algebraic computation tree for deciding membership in a semialgebraic set is bounded from below (up to a multiplicative constant) by the logarithm of m-th Betti number (with respect to singular homology) of the set, divided by m+1. This result complements the well known lower bound by Ya... |
2004.11970 | Anis Koubaa | Alam Noor, Bilel Benjdira, Adel Ammar, Anis Koubaa | DriftNet: Aggressive Driving Behavior Classification using 3D
EfficientNet Architecture | null | null | null | RIOTU-TR-2020-04 | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Aggressive driving (i.e., car drifting) is a dangerous behavior that puts
human safety and life into a significant risk. This behavior is considered as
an anomaly concerning the regular traffic in public transportation roads.
Recent techniques in deep learning proposed new approaches for anomaly
detection in differen... | [
{
"created": "Sat, 18 Apr 2020 08:36:04 GMT",
"version": "v1"
}
] | 2020-04-28 | [
[
"Noor",
"Alam",
""
],
[
"Benjdira",
"Bilel",
""
],
[
"Ammar",
"Adel",
""
],
[
"Koubaa",
"Anis",
""
]
] | Aggressive driving (i.e., car drifting) is a dangerous behavior that puts human safety and life into a significant risk. This behavior is considered as an anomaly concerning the regular traffic in public transportation roads. Recent techniques in deep learning proposed new approaches for anomaly detection in different ... |
1811.01997 | Ami Paz | Keren Censor-Hillel, Ami Paz, Noam Ravid | The Sparsest Additive Spanner via Multiple Weighted BFS Trees | Preliminary versions appeared in OPODIS 2018 conference and in TCS
journal | null | 10.1016/j.tcs.2020.05.035 | null | cs.DC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spanners are fundamental graph structures that sparsify graphs at the cost of
small stretch. In particular, in recent years, many sequential algorithms
constructing additive all-pairs spanners were designed, providing very sparse
small-stretch subgraphs. Remarkably, it was then shown that the known
(+6)-spanner const... | [
{
"created": "Mon, 5 Nov 2018 19:44:50 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Jun 2020 14:20:52 GMT",
"version": "v2"
}
] | 2020-06-03 | [
[
"Censor-Hillel",
"Keren",
""
],
[
"Paz",
"Ami",
""
],
[
"Ravid",
"Noam",
""
]
] | Spanners are fundamental graph structures that sparsify graphs at the cost of small stretch. In particular, in recent years, many sequential algorithms constructing additive all-pairs spanners were designed, providing very sparse small-stretch subgraphs. Remarkably, it was then shown that the known (+6)-spanner constru... |
2403.16116 | Dongrui Liu | Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei xie, Bing Wang,
Xiaojun Chang, and Lei Chu | Self-Supervised Multi-Frame Neural Scene Flow | null | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural Scene Flow Prior (NSFP) and Fast Neural Scene Flow (FNSF) have shown
remarkable adaptability in the context of large out-of-distribution autonomous
driving. Despite their success, the underlying reasons for their astonishing
generalization capabilities remain unclear. Our research addresses this gap by
examini... | [
{
"created": "Sun, 24 Mar 2024 12:15:28 GMT",
"version": "v1"
}
] | 2024-03-26 | [
[
"Liu",
"Dongrui",
""
],
[
"Liu",
"Daqi",
""
],
[
"Li",
"Xueqian",
""
],
[
"Lin",
"Sihao",
""
],
[
"xie",
"Hongwei",
""
],
[
"Wang",
"Bing",
""
],
[
"Chang",
"Xiaojun",
""
],
[
"Chu",
"Lei",
... | Neural Scene Flow Prior (NSFP) and Fast Neural Scene Flow (FNSF) have shown remarkable adaptability in the context of large out-of-distribution autonomous driving. Despite their success, the underlying reasons for their astonishing generalization capabilities remain unclear. Our research addresses this gap by examining... |
1909.04913 | Jia Li | Jia Li, Jinming Su, Changqun Xia, Yonghong Tian | Distortion-adaptive Salient Object Detection in 360$^\circ$
Omnidirectional Images | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image-based salient object detection (SOD) has been extensively explored in
the past decades. However, SOD on 360$^\circ$ omnidirectional images is less
studied owing to the lack of datasets with pixel-level annotations. Toward this
end, this paper proposes a 360$^\circ$ image-based SOD dataset that contains
500 high... | [
{
"created": "Wed, 11 Sep 2019 08:33:11 GMT",
"version": "v1"
}
] | 2019-09-12 | [
[
"Li",
"Jia",
""
],
[
"Su",
"Jinming",
""
],
[
"Xia",
"Changqun",
""
],
[
"Tian",
"Yonghong",
""
]
] | Image-based salient object detection (SOD) has been extensively explored in the past decades. However, SOD on 360$^\circ$ omnidirectional images is less studied owing to the lack of datasets with pixel-level annotations. Toward this end, this paper proposes a 360$^\circ$ image-based SOD dataset that contains 500 high-r... |
2109.13602 | Peter Ondruska | Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wo{\l}czyk, B{\l}a\.zej
Osi\'nski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter
Ondruska | SafetyNet: Safe planning for real-world self-driving vehicles using
machine-learned policies | null | null | null | null | cs.RO cs.AI cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this paper we present the first safe system for full control of
self-driving vehicles trained from human demonstrations and deployed in
challenging, real-world, urban environments. Current industry-standard
solutions use rule-based systems for planning. Although they perform reasonably
well in common scenarios, th... | [
{
"created": "Tue, 28 Sep 2021 10:23:46 GMT",
"version": "v1"
}
] | 2021-09-29 | [
[
"Vitelli",
"Matt",
""
],
[
"Chang",
"Yan",
""
],
[
"Ye",
"Yawei",
""
],
[
"Wołczyk",
"Maciej",
""
],
[
"Osiński",
"Błażej",
""
],
[
"Niendorf",
"Moritz",
""
],
[
"Grimmett",
"Hugo",
""
],
[
"Huang",... | In this paper we present the first safe system for full control of self-driving vehicles trained from human demonstrations and deployed in challenging, real-world, urban environments. Current industry-standard solutions use rule-based systems for planning. Although they perform reasonably well in common scenarios, the ... |
2003.05873 | Viet-Thi Tran | Philippe Ravaud, Franck le Ouay, Etienne Depaulis, Alexandre Huckert,
Bruno Vegreville and Viet-Thi Tran | Reconfiguring health services to reduce the workload of caregivers
during the COVID-19 outbreak using an open-source scalable platform for
remote digital monitoring and coordination of care in hospital Command
Centres | 4 pages, 1 figure | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Covid-19 outbreak threatens to saturate healthcare systems in most
Western countries. We describe how digital technologies may be used to
automatically and remotely monitor patients at home. Patients answer simple
self-reported questionnaires and their data is transmitted, in real time, to a
Command Centre in the... | [
{
"created": "Thu, 12 Mar 2020 16:08:09 GMT",
"version": "v1"
}
] | 2020-03-13 | [
[
"Ravaud",
"Philippe",
""
],
[
"Ouay",
"Franck le",
""
],
[
"Depaulis",
"Etienne",
""
],
[
"Huckert",
"Alexandre",
""
],
[
"Vegreville",
"Bruno",
""
],
[
"Tran",
"Viet-Thi",
""
]
] | The Covid-19 outbreak threatens to saturate healthcare systems in most Western countries. We describe how digital technologies may be used to automatically and remotely monitor patients at home. Patients answer simple self-reported questionnaires and their data is transmitted, in real time, to a Command Centre in the n... |
2205.03160 | Lintian Shi | Lintian Shi, Yuqi Zhang, Yu Huang, Hengfeng Wei, Xiaoxing Ma | ViSearch: Weak Consistency Measurement for Replicated Data Types | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale replicated data type stores often resort to eventual consistency
to guarantee low latency and high availability. It is widely accepted that
programming over eventually consistent data stores is challenging, since
arbitrary divergence among replicas is allowed. Moreover, pragmatic protocols
actually achiev... | [
{
"created": "Fri, 6 May 2022 11:57:46 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Jul 2022 14:36:11 GMT",
"version": "v2"
}
] | 2022-07-07 | [
[
"Shi",
"Lintian",
""
],
[
"Zhang",
"Yuqi",
""
],
[
"Huang",
"Yu",
""
],
[
"Wei",
"Hengfeng",
""
],
[
"Ma",
"Xiaoxing",
""
]
] | Large-scale replicated data type stores often resort to eventual consistency to guarantee low latency and high availability. It is widely accepted that programming over eventually consistent data stores is challenging, since arbitrary divergence among replicas is allowed. Moreover, pragmatic protocols actually achieve ... |
1401.4844 | Rosy Madaan | Ashish Kumar Mourya, Niraj Singhal | Managing Congestion Control in Mobile AD-HOC Network Using Mobile Agents | 9 Pages. IJCEA, 2014. arXiv admin note: substantial text overlap with
arXiv:0907.5441 by other authors without attribution | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In mobile adhoc networks, congestion occurs with limited resources. The
standard TCP congestion control mechanism is not able to handle the special
properties of a shared wireless channel. TCP congestion control works very well
on the Internet. But mobile adhoc networks exhibit some unique properties that
greatly aff... | [
{
"created": "Mon, 20 Jan 2014 09:51:07 GMT",
"version": "v1"
}
] | 2014-01-21 | [
[
"Mourya",
"Ashish Kumar",
""
],
[
"Singhal",
"Niraj",
""
]
] | In mobile adhoc networks, congestion occurs with limited resources. The standard TCP congestion control mechanism is not able to handle the special properties of a shared wireless channel. TCP congestion control works very well on the Internet. But mobile adhoc networks exhibit some unique properties that greatly affec... |
2305.04190 | Peng Wang | Peng Wang, Yong Liang Guan, Lipo Wang, Peng Cheng | Fast Blind Recovery of Linear Block Codes over Noisy Channels | 9 pages, 4 figures | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This paper addresses the blind recovery of the parity check matrix of an
(n,k) linear block code over noisy channels by proposing a fast recovery scheme
consisting of 3 parts. Firstly, this scheme performs initial error position
detection among the received codewords and selects the desirable codewords.
Then, this sc... | [
{
"created": "Sun, 7 May 2023 04:30:35 GMT",
"version": "v1"
}
] | 2023-05-09 | [
[
"Wang",
"Peng",
""
],
[
"Guan",
"Yong Liang",
""
],
[
"Wang",
"Lipo",
""
],
[
"Cheng",
"Peng",
""
]
] | This paper addresses the blind recovery of the parity check matrix of an (n,k) linear block code over noisy channels by proposing a fast recovery scheme consisting of 3 parts. Firstly, this scheme performs initial error position detection among the received codewords and selects the desirable codewords. Then, this sche... |
1808.08093 | Lazar Kats | Lazar Kats, Marilena Vered, Ayelet Zlotogorski-Hurvitz, Itai Harpaz | Atherosclerotic carotid plaques on panoramic imaging: an automatic
detection using deep learning with small dataset | 11 pages, 5 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Stroke is the second most frequent cause of death worldwide with a
considerable economic burden on the health systems. In about 15% of strokes,
atherosclerotic carotid plaques (ACPs) constitute the main etiological factor.
Early detection of ACPs may have a key-role for preventing strokes by managing
the patient a-pr... | [
{
"created": "Fri, 24 Aug 2018 11:25:36 GMT",
"version": "v1"
}
] | 2018-08-27 | [
[
"Kats",
"Lazar",
""
],
[
"Vered",
"Marilena",
""
],
[
"Zlotogorski-Hurvitz",
"Ayelet",
""
],
[
"Harpaz",
"Itai",
""
]
] | Stroke is the second most frequent cause of death worldwide with a considerable economic burden on the health systems. In about 15% of strokes, atherosclerotic carotid plaques (ACPs) constitute the main etiological factor. Early detection of ACPs may have a key-role for preventing strokes by managing the patient a-prio... |
2007.10805 | Suneel Sarswat | Suneel Sarswat and Abhishek Kr Singh | Formally Verified Trades in Financial Markets | Aceepted in ICFEM 2020. arXiv admin note: substantial text overlap
with arXiv:1907.07885 | null | null | null | cs.LO cs.DS cs.GT q-fin.TR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a formal framework for analyzing trades in financial markets.
These days, all big exchanges use computer algorithms to match buy and sell
requests and these algorithms must abide by certain regulatory guidelines. For
example, market regulators enforce that a matching produced by exchanges should
be fair,... | [
{
"created": "Sat, 18 Jul 2020 10:03:22 GMT",
"version": "v1"
}
] | 2020-07-22 | [
[
"Sarswat",
"Suneel",
""
],
[
"Singh",
"Abhishek Kr",
""
]
] | We introduce a formal framework for analyzing trades in financial markets. These days, all big exchanges use computer algorithms to match buy and sell requests and these algorithms must abide by certain regulatory guidelines. For example, market regulators enforce that a matching produced by exchanges should be fair, u... |
2201.04728 | Mengxi Yang | Mengxi Yang, Dai Shi, Xuebin Zheng, Jie Yin and Junbin Gao | Quasi-Framelets: Robust Graph Neural Networks via Adaptive Framelet
Convolution | null | null | null | null | cs.LG cs.AI cs.NA math.NA | http://creativecommons.org/licenses/by/4.0/ | This paper aims to provide a novel design of a multiscale framelet
convolution for spectral graph neural networks (GNNs). While current spectral
methods excel in various graph learning tasks, they often lack the flexibility
to adapt to noisy, incomplete, or perturbed graph signals, making them fragile
in such conditi... | [
{
"created": "Tue, 11 Jan 2022 00:10:28 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jul 2024 12:54:16 GMT",
"version": "v2"
}
] | 2024-07-30 | [
[
"Yang",
"Mengxi",
""
],
[
"Shi",
"Dai",
""
],
[
"Zheng",
"Xuebin",
""
],
[
"Yin",
"Jie",
""
],
[
"Gao",
"Junbin",
""
]
] | This paper aims to provide a novel design of a multiscale framelet convolution for spectral graph neural networks (GNNs). While current spectral methods excel in various graph learning tasks, they often lack the flexibility to adapt to noisy, incomplete, or perturbed graph signals, making them fragile in such condition... |
2307.10171 | Sean Bin Yang | Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang and Christian S.
Jensen | LightPath: Lightweight and Scalable Path Representation Learning | This paper has been accepted by ACM SIGKDD-23 | null | null | null | cs.LG cs.AI cs.DB | http://creativecommons.org/licenses/by/4.0/ | Movement paths are used widely in intelligent transportation and smart city
applications. To serve such applications, path representation learning aims to
provide compact representations of paths that enable efficient and accurate
operations when used for different downstream tasks such as path ranking and
travel cos... | [
{
"created": "Wed, 19 Jul 2023 17:57:27 GMT",
"version": "v1"
}
] | 2023-07-20 | [
[
"Yang",
"Sean Bin",
""
],
[
"Hu",
"Jilin",
""
],
[
"Guo",
"Chenjuan",
""
],
[
"Yang",
"Bin",
""
],
[
"Jensen",
"Christian S.",
""
]
] | Movement paths are used widely in intelligent transportation and smart city applications. To serve such applications, path representation learning aims to provide compact representations of paths that enable efficient and accurate operations when used for different downstream tasks such as path ranking and travel cost ... |
1901.09681 | Kshiteesh Hegde | Kshiteesh Hegde, Malik Magdon-Ismail | Network Lens: Node Classification in Topologically Heterogeneous
Networks | null | null | null | null | cs.SI cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | We study the problem of identifying different behaviors occurring in
different parts of a large heterogenous network. We zoom in to the network
using lenses of different sizes to capture the local structure of the network.
These network signatures are then weighted to provide a set of predicted labels
for every node.... | [
{
"created": "Tue, 15 Jan 2019 03:31:54 GMT",
"version": "v1"
}
] | 2019-01-29 | [
[
"Hegde",
"Kshiteesh",
""
],
[
"Magdon-Ismail",
"Malik",
""
]
] | We study the problem of identifying different behaviors occurring in different parts of a large heterogenous network. We zoom in to the network using lenses of different sizes to capture the local structure of the network. These network signatures are then weighted to provide a set of predicted labels for every node. W... |
2006.10411 | Yves Bernaerts | Yves Bernaerts, Philipp Berens, Dmitry Kobak | Sparse bottleneck neural networks for exploratory non-linear
visualization of Patch-seq data | 17 pages, 16 figures | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Patch-seq, a recently developed experimental technique, allows
neuroscientists to obtain transcriptomic and electrophysiological information
from the same neurons. Efficiently analyzing and visualizing such paired
multivariate data in order to extract biologically meaningful interpretations
has, however, remained a c... | [
{
"created": "Thu, 18 Jun 2020 10:36:05 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Jun 2021 14:24:02 GMT",
"version": "v2"
},
{
"created": "Tue, 25 Jan 2022 14:20:52 GMT",
"version": "v3"
}
] | 2022-01-26 | [
[
"Bernaerts",
"Yves",
""
],
[
"Berens",
"Philipp",
""
],
[
"Kobak",
"Dmitry",
""
]
] | Patch-seq, a recently developed experimental technique, allows neuroscientists to obtain transcriptomic and electrophysiological information from the same neurons. Efficiently analyzing and visualizing such paired multivariate data in order to extract biologically meaningful interpretations has, however, remained a cha... |
1909.03309 | Sudhakar Kumawat | Gagan Kanojia, Sudhakar Kumawat and Shanmuganathan Raman | Exploring Temporal Differences in 3D Convolutional Neural Networks | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional 3D convolutions are computationally expensive, memory intensive,
and due to large number of parameters, they often tend to overfit. On the other
hand, 2D CNNs are less computationally expensive and less memory intensive than
3D CNNs and have shown remarkable results in applications like image
classificati... | [
{
"created": "Sat, 7 Sep 2019 17:45:27 GMT",
"version": "v1"
}
] | 2019-09-10 | [
[
"Kanojia",
"Gagan",
""
],
[
"Kumawat",
"Sudhakar",
""
],
[
"Raman",
"Shanmuganathan",
""
]
] | Traditional 3D convolutions are computationally expensive, memory intensive, and due to large number of parameters, they often tend to overfit. On the other hand, 2D CNNs are less computationally expensive and less memory intensive than 3D CNNs and have shown remarkable results in applications like image classification... |
2106.00321 | Felix Thiel | Felix J. Thiel, Anthony Steed | A Way to a Universal VR Accessibility Toolkit | This work was presented at the ACM CHI 2021 Workshop on Design and
Creation of Inclusive User Interactions Through Immersive Media.
https://sites.google.com/view/acm-chi-iicw21/home | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Virtual Reality (VR) has become more and more popular with dropping prices
for systems and a growing number of users. However, the issue of accessibility
in VR has been hardly addressed so far and no uniform approach or standard
exists at this time. In this position paper, we propose a customisable toolkit
implemente... | [
{
"created": "Tue, 1 Jun 2021 08:50:46 GMT",
"version": "v1"
}
] | 2021-06-02 | [
[
"Thiel",
"Felix J.",
""
],
[
"Steed",
"Anthony",
""
]
] | Virtual Reality (VR) has become more and more popular with dropping prices for systems and a growing number of users. However, the issue of accessibility in VR has been hardly addressed so far and no uniform approach or standard exists at this time. In this position paper, we propose a customisable toolkit implemented ... |
2408.00494 | Karl Berntorp | Ji Yin and Panagiotis Tsiotras and Karl Berntorp | Chance-Constrained Information-Theoretic Stochastic Model Predictive
Control with Safety Shielding | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces a novel nonlinear stochastic model predictive control
path integral (MPPI) method, which considers chance constraints on system
states. The proposed belief-space stochastic MPPI (BSS-MPPI) applies
Monte-Carlo sampling to evaluate state distributions resulting from underlying
systematic disturban... | [
{
"created": "Thu, 1 Aug 2024 11:58:35 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Aug 2024 10:31:40 GMT",
"version": "v2"
}
] | 2024-08-16 | [
[
"Yin",
"Ji",
""
],
[
"Tsiotras",
"Panagiotis",
""
],
[
"Berntorp",
"Karl",
""
]
] | This paper introduces a novel nonlinear stochastic model predictive control path integral (MPPI) method, which considers chance constraints on system states. The proposed belief-space stochastic MPPI (BSS-MPPI) applies Monte-Carlo sampling to evaluate state distributions resulting from underlying systematic disturbance... |
0812.1061 | Daowen Qiu | Daowen Qiu, Xiangfu Zou, Lvzhou Li, Paulo Mateus | Decidability of the Equivalence of Multi-Letter Quantum Finite Automata | 18 pages; this is a further revised version | null | null | null | cs.FL cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-letter {\it quantum finite automata} (QFAs) were a quantum variant of
classical {\it one-way multi-head finite automata} (J. Hromkovi\v{c}, Acta
Informatica 19 (1983) 377-384), and it has been shown that this new one-way
QFAs (multi-letter QFAs) can accept with no error some regular languages
$(a+b)^{*}b$ that ... | [
{
"created": "Fri, 5 Dec 2008 00:53:20 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Jan 2009 03:06:42 GMT",
"version": "v2"
},
{
"created": "Tue, 10 Mar 2009 19:47:59 GMT",
"version": "v3"
},
{
"created": "Wed, 23 Dec 2009 13:42:54 GMT",
"version": "v4"
},
{
"cr... | 2010-11-01 | [
[
"Qiu",
"Daowen",
""
],
[
"Zou",
"Xiangfu",
""
],
[
"Li",
"Lvzhou",
""
],
[
"Mateus",
"Paulo",
""
]
] | Multi-letter {\it quantum finite automata} (QFAs) were a quantum variant of classical {\it one-way multi-head finite automata} (J. Hromkovi\v{c}, Acta Informatica 19 (1983) 377-384), and it has been shown that this new one-way QFAs (multi-letter QFAs) can accept with no error some regular languages $(a+b)^{*}b$ that ar... |
2305.09497 | Tiziano Piccardi | Tiziano Piccardi, Martin Gerlach, Robert West | Curious Rhythms: Temporal Regularities of Wikipedia Consumption | ICWSM 2024 | null | null | null | cs.CY cs.DL | http://creativecommons.org/licenses/by-sa/4.0/ | Wikipedia, in its role as the world's largest encyclopedia, serves a broad
range of information needs. Although previous studies have noted that Wikipedia
users' information needs vary throughout the day, there is to date no
large-scale, quantitative study of the underlying dynamics. The present paper
fills this gap ... | [
{
"created": "Tue, 16 May 2023 14:48:08 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Mar 2024 18:25:23 GMT",
"version": "v2"
},
{
"created": "Sat, 20 Apr 2024 16:47:43 GMT",
"version": "v3"
}
] | 2024-04-23 | [
[
"Piccardi",
"Tiziano",
""
],
[
"Gerlach",
"Martin",
""
],
[
"West",
"Robert",
""
]
] | Wikipedia, in its role as the world's largest encyclopedia, serves a broad range of information needs. Although previous studies have noted that Wikipedia users' information needs vary throughout the day, there is to date no large-scale, quantitative study of the underlying dynamics. The present paper fills this gap by... |
2110.10237 | Graeme Best | Chris (Yu Hsuan) Lee and Graeme Best and Geoffrey A. Hollinger | Stochastic Assignment for Deploying Multiple Marsupial Robots | null | Proc. IEEE International Symposium on Multi-Robot and Multi-Agent
Systems (MRS) 2021 | null | null | cs.RO | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Marsupial robot teams consist of carrier robots that transport and deploy
multiple passenger robots, such as a team of ground robots that carry and
deploy multiple aerial robots, to rapidly explore complex environments. We
specifically address the problem of planning the deployment times and locations
of the carrier ... | [
{
"created": "Tue, 19 Oct 2021 20:18:10 GMT",
"version": "v1"
}
] | 2021-10-22 | [
[
"Chris",
"",
"",
"Yu Hsuan"
],
[
"Lee",
"",
""
],
[
"Best",
"Graeme",
""
],
[
"Hollinger",
"Geoffrey A.",
""
]
] | Marsupial robot teams consist of carrier robots that transport and deploy multiple passenger robots, such as a team of ground robots that carry and deploy multiple aerial robots, to rapidly explore complex environments. We specifically address the problem of planning the deployment times and locations of the carrier ro... |
1703.11005 | Sergio Rajsbaum | Eric Goubault and Sergio Rajsbaum | A simplicial complex model of dynamic epistemic logic for fault-tolerant
distributed computing | null | null | null | null | cs.DC cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The usual epistemic S5 model for multi-agent systems is a Kripke graph, whose
edges are labeled with the agents that do not distinguish between two states.
We propose to uncover the higher dimensional information implicit in the Kripke
graph, by using as a model its dual, a chromatic simplicial complex. For each
stat... | [
{
"created": "Fri, 31 Mar 2017 17:53:06 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Apr 2017 12:50:53 GMT",
"version": "v2"
}
] | 2017-04-05 | [
[
"Goubault",
"Eric",
""
],
[
"Rajsbaum",
"Sergio",
""
]
] | The usual epistemic S5 model for multi-agent systems is a Kripke graph, whose edges are labeled with the agents that do not distinguish between two states. We propose to uncover the higher dimensional information implicit in the Kripke graph, by using as a model its dual, a chromatic simplicial complex. For each state ... |
2103.04753 | Andrew Weinert | Ngaire Underhill, Andrew Weinert | Applicability and Surrogacy of Uncorrelated Airspace Encounter Models at
Low Altitudes | 8 pages, 2 figures, 2 tables, 3995 total words | Journal of Air Transportation (2021), 1-5 | 10.2514/1.D0254 | null | cs.LG cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The National Airspace System (NAS) is a complex and evolving system that
enables safe and efficient aviation. Advanced air mobility concepts and new
airspace entrants, such as unmanned aircraft, must integrate into the NAS
without degrading overall safety or efficiency. For instance, regulations,
standards, and syste... | [
{
"created": "Thu, 4 Mar 2021 23:16:56 GMT",
"version": "v1"
},
{
"created": "Thu, 27 May 2021 17:31:48 GMT",
"version": "v2"
}
] | 2021-05-28 | [
[
"Underhill",
"Ngaire",
""
],
[
"Weinert",
"Andrew",
""
]
] | The National Airspace System (NAS) is a complex and evolving system that enables safe and efficient aviation. Advanced air mobility concepts and new airspace entrants, such as unmanned aircraft, must integrate into the NAS without degrading overall safety or efficiency. For instance, regulations, standards, and systems... |
2002.05366 | Taejong Joo | Taejong Joo, Donggu Kang, Byunghoon Kim | Regularizing activations in neural networks via distribution matching
with the Wasserstein metric | ICLR 2020 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Regularization and normalization have become indispensable components in
training deep neural networks, resulting in faster training and improved
generalization performance. We propose the projected error function
regularization loss (PER) that encourages activations to follow the standard
normal distribution. PER ra... | [
{
"created": "Thu, 13 Feb 2020 06:42:01 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Apr 2020 02:31:16 GMT",
"version": "v2"
}
] | 2020-04-28 | [
[
"Joo",
"Taejong",
""
],
[
"Kang",
"Donggu",
""
],
[
"Kim",
"Byunghoon",
""
]
] | Regularization and normalization have become indispensable components in training deep neural networks, resulting in faster training and improved generalization performance. We propose the projected error function regularization loss (PER) that encourages activations to follow the standard normal distribution. PER rand... |
1904.08035 | Binxuan Huang | Binxuan Huang, Kathleen M. Carley | Residual or Gate? Towards Deeper Graph Neural Networks for Inductive
Graph Representation Learning | null | null | null | null | cs.LG cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the problem of node representation learning with
graph neural networks. We present a graph neural network class named recurrent
graph neural network (RGNN), that address the shortcomings of prior methods. By
using recurrent units to capture the long-term dependency across layers, our
methods c... | [
{
"created": "Wed, 17 Apr 2019 00:46:20 GMT",
"version": "v1"
},
{
"created": "Tue, 7 May 2019 02:38:19 GMT",
"version": "v2"
},
{
"created": "Mon, 26 Aug 2019 17:45:11 GMT",
"version": "v3"
}
] | 2019-08-27 | [
[
"Huang",
"Binxuan",
""
],
[
"Carley",
"Kathleen M.",
""
]
] | In this paper, we study the problem of node representation learning with graph neural networks. We present a graph neural network class named recurrent graph neural network (RGNN), that address the shortcomings of prior methods. By using recurrent units to capture the long-term dependency across layers, our methods can... |
2106.15713 | Tzu-Yuan Lin | Tzu-Yuan Lin, Ray Zhang, Justin Yu, and Maani Ghaffari | Legged Robot State Estimation using Invariant Kalman Filtering and
Learned Contact Events | 16 pages. Published in Conference on Robot Learning 2021, London | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work develops a learning-based contact estimator for legged robots that
bypasses the need for physical sensors and takes multi-modal proprioceptive
sensory data as input. Unlike vision-based state estimators, proprioceptive
state estimators are agnostic to perceptually degraded situations such as dark
or foggy s... | [
{
"created": "Tue, 29 Jun 2021 20:36:07 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Jul 2021 20:43:30 GMT",
"version": "v2"
},
{
"created": "Mon, 29 Nov 2021 15:22:01 GMT",
"version": "v3"
}
] | 2021-11-30 | [
[
"Lin",
"Tzu-Yuan",
""
],
[
"Zhang",
"Ray",
""
],
[
"Yu",
"Justin",
""
],
[
"Ghaffari",
"Maani",
""
]
] | This work develops a learning-based contact estimator for legged robots that bypasses the need for physical sensors and takes multi-modal proprioceptive sensory data as input. Unlike vision-based state estimators, proprioceptive state estimators are agnostic to perceptually degraded situations such as dark or foggy sce... |
1912.08792 | Jing Li | Soroosh Khoram, Jing Li | TOCO: A Framework for Compressing Neural Network Models Based on
Tolerance Analysis | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural network compression methods have enabled deploying large models on
emerging edge devices with little cost, by adapting already-trained models to
the constraints of these devices. The rapid development of AI-capable edge
devices with limited computation and storage requires streamlined methodologies
that can ef... | [
{
"created": "Wed, 18 Dec 2019 18:45:47 GMT",
"version": "v1"
},
{
"created": "Thu, 19 Dec 2019 01:40:30 GMT",
"version": "v2"
}
] | 2019-12-20 | [
[
"Khoram",
"Soroosh",
""
],
[
"Li",
"Jing",
""
]
] | Neural network compression methods have enabled deploying large models on emerging edge devices with little cost, by adapting already-trained models to the constraints of these devices. The rapid development of AI-capable edge devices with limited computation and storage requires streamlined methodologies that can effi... |
2005.12340 | Svitlana Vakulenko | Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke | An Analysis of Mixed Initiative and Collaboration in Information-Seeking
Dialogues | SIGIR 2020 short conference paper | null | 10.1145/3397271.3401297 | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ability to engage in mixed-initiative interaction is one of the core
requirements for a conversational search system. How to achieve this is poorly
understood. We propose a set of unsupervised metrics, termed ConversationShape,
that highlights the role each of the conversation participants plays by
comparing the ... | [
{
"created": "Mon, 25 May 2020 18:48:38 GMT",
"version": "v1"
}
] | 2020-05-27 | [
[
"Vakulenko",
"Svitlana",
""
],
[
"Kanoulas",
"Evangelos",
""
],
[
"de Rijke",
"Maarten",
""
]
] | The ability to engage in mixed-initiative interaction is one of the core requirements for a conversational search system. How to achieve this is poorly understood. We propose a set of unsupervised metrics, termed ConversationShape, that highlights the role each of the conversation participants plays by comparing the di... |
2003.12789 | Chenyang Lei | Chenyang Lei, Xuhua Huang, Mengdi Zhang, Qiong Yan, Wenxiu Sun and
Qifeng Chen | Polarized Reflection Removal with Perfect Alignment in the Wild | CVPR2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel formulation to removing reflection from polarized images
in the wild. We first identify the misalignment issues of existing reflection
removal datasets where the collected reflection-free images are not perfectly
aligned with input mixed images due to glass refraction. Then we build a new
dataset w... | [
{
"created": "Sat, 28 Mar 2020 13:29:31 GMT",
"version": "v1"
}
] | 2020-03-31 | [
[
"Lei",
"Chenyang",
""
],
[
"Huang",
"Xuhua",
""
],
[
"Zhang",
"Mengdi",
""
],
[
"Yan",
"Qiong",
""
],
[
"Sun",
"Wenxiu",
""
],
[
"Chen",
"Qifeng",
""
]
] | We present a novel formulation to removing reflection from polarized images in the wild. We first identify the misalignment issues of existing reflection removal datasets where the collected reflection-free images are not perfectly aligned with input mixed images due to glass refraction. Then we build a new dataset wit... |
1810.01272 | Philip Feldman | Philip Feldman, Aaron Dant, and Wayne Lutters | Disrupting the Coming Robot Stampedes: Designing Resilient Information
Ecologies | 5 pages, 2 figures | 14th International Conference, iConference 2019 | 10.1007/978-3-030-15742-5 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machines are designed to communicate widely and efficiently. Humans, less so.
We evolved social structures that function best as small subgroups interacting
within larger populations. Technology changes this dynamic, by allowing all
individuals to be connected at the speed of light. A dense, tightly connected
populat... | [
{
"created": "Tue, 2 Oct 2018 14:15:47 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Nov 2018 18:07:57 GMT",
"version": "v2"
}
] | 2019-04-11 | [
[
"Feldman",
"Philip",
""
],
[
"Dant",
"Aaron",
""
],
[
"Lutters",
"Wayne",
""
]
] | Machines are designed to communicate widely and efficiently. Humans, less so. We evolved social structures that function best as small subgroups interacting within larger populations. Technology changes this dynamic, by allowing all individuals to be connected at the speed of light. A dense, tightly connected populatio... |
2305.15104 | Yican Sun | Yican Sun, Hongfei Fu, Krishnendu Chatterjee and Amir Kafshdar
Goharshady | Automated Tail Bound Analysis for Probabilistic Recurrence Relations | 46 pages, 15 figures | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | Probabilistic recurrence relations (PRRs) are a standard formalism for
describing the runtime of a randomized algorithm. Given a PRR and a time limit
$\kappa$, we consider the classical concept of tail probability $\Pr[T \ge
\kappa]$, i.e., the probability that the randomized runtime $T$ of the PRR
exceeds the time l... | [
{
"created": "Wed, 24 May 2023 12:47:50 GMT",
"version": "v1"
}
] | 2023-05-25 | [
[
"Sun",
"Yican",
""
],
[
"Fu",
"Hongfei",
""
],
[
"Chatterjee",
"Krishnendu",
""
],
[
"Goharshady",
"Amir Kafshdar",
""
]
] | Probabilistic recurrence relations (PRRs) are a standard formalism for describing the runtime of a randomized algorithm. Given a PRR and a time limit $\kappa$, we consider the classical concept of tail probability $\Pr[T \ge \kappa]$, i.e., the probability that the randomized runtime $T$ of the PRR exceeds the time lim... |
2106.03382 | Tutian Tang | Tutian Tang, Wenqiang Xu, Ruolin Ye, Yan-Feng Wang, Cewu Lu | ContourRender: Detecting Arbitrary Contour Shape For Instance
Segmentation In One Pass | Tech report | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Direct contour regression for instance segmentation is a challenging task.
Previous works usually achieve it by learning to progressively refine the
contour prediction or adopting a shape representation with limited
expressiveness. In this work, we argue that the difficulty in regressing the
contour points in one pas... | [
{
"created": "Mon, 7 Jun 2021 07:23:03 GMT",
"version": "v1"
}
] | 2021-06-08 | [
[
"Tang",
"Tutian",
""
],
[
"Xu",
"Wenqiang",
""
],
[
"Ye",
"Ruolin",
""
],
[
"Wang",
"Yan-Feng",
""
],
[
"Lu",
"Cewu",
""
]
] | Direct contour regression for instance segmentation is a challenging task. Previous works usually achieve it by learning to progressively refine the contour prediction or adopting a shape representation with limited expressiveness. In this work, we argue that the difficulty in regressing the contour points in one pass ... |
2306.13420 | Qianji Di | Qianji Di, Wenxi Ma, Zhongang Qi, Tianxiang Hou, Ying Shan, Hanzi Wang | Towards Unseen Triples: Effective Text-Image-joint Learning for Scene
Graph Generation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scene Graph Generation (SGG) aims to structurally and comprehensively
represent objects and their connections in images, it can significantly benefit
scene understanding and other related downstream tasks. Existing SGG models
often struggle to solve the long-tailed problem caused by biased datasets.
However, even if ... | [
{
"created": "Fri, 23 Jun 2023 10:17:56 GMT",
"version": "v1"
}
] | 2023-06-26 | [
[
"Di",
"Qianji",
""
],
[
"Ma",
"Wenxi",
""
],
[
"Qi",
"Zhongang",
""
],
[
"Hou",
"Tianxiang",
""
],
[
"Shan",
"Ying",
""
],
[
"Wang",
"Hanzi",
""
]
] | Scene Graph Generation (SGG) aims to structurally and comprehensively represent objects and their connections in images, it can significantly benefit scene understanding and other related downstream tasks. Existing SGG models often struggle to solve the long-tailed problem caused by biased datasets. However, even if th... |
2103.06021 | Anthony Dunn | Anthony J. Dunn, Mohamed H. ElRefai, Paul R. Roberts, Stefano
Coniglio, Benedict M. Wiles and Alain B. Zemkoho | Deep learning methods for screening patients' S-ICD implantation
eligibility | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Subcutaneous Implantable Cardioverter-Defibrillators (S-ICDs) are used for
prevention of sudden cardiac death triggered by ventricular arrhythmias. T Wave
Over Sensing (TWOS) is an inherent risk with S-ICDs which can lead to
inappropriate shocks. A major predictor of TWOS is a high T:R ratio (the ratio
between the am... | [
{
"created": "Wed, 10 Mar 2021 12:37:36 GMT",
"version": "v1"
}
] | 2021-03-11 | [
[
"Dunn",
"Anthony J.",
""
],
[
"ElRefai",
"Mohamed H.",
""
],
[
"Roberts",
"Paul R.",
""
],
[
"Coniglio",
"Stefano",
""
],
[
"Wiles",
"Benedict M.",
""
],
[
"Zemkoho",
"Alain B.",
""
]
] | Subcutaneous Implantable Cardioverter-Defibrillators (S-ICDs) are used for prevention of sudden cardiac death triggered by ventricular arrhythmias. T Wave Over Sensing (TWOS) is an inherent risk with S-ICDs which can lead to inappropriate shocks. A major predictor of TWOS is a high T:R ratio (the ratio between the ampl... |
2310.07625 | Azqa Nadeem | Azqa Nadeem | Cybersecurity as a Crosscutting Concept Across an Undergrad Computer
Science Curriculum: An Experience Report | 6 pages; Accepted at SIGCSE TS '24 | null | 10.1145/3626252.3630821 | null | cs.CR cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Although many Computer Science (CS) programs offer cybersecurity courses,
they are typically optional and placed at the periphery of the program. We
advocate to integrate cybersecurity as a crosscutting concept in CS curricula,
which is also consistent with latest cybersecurity curricular guidelines, e.g.,
CSEC2017. ... | [
{
"created": "Wed, 11 Oct 2023 16:07:42 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Jan 2024 14:14:00 GMT",
"version": "v2"
}
] | 2024-01-17 | [
[
"Nadeem",
"Azqa",
""
]
] | Although many Computer Science (CS) programs offer cybersecurity courses, they are typically optional and placed at the periphery of the program. We advocate to integrate cybersecurity as a crosscutting concept in CS curricula, which is also consistent with latest cybersecurity curricular guidelines, e.g., CSEC2017. We... |
2310.16042 | Heyi Tao | Heyi Tao, Sethuraman T V, Michal Shlapentokh-Rothman, Derek Hoiem | WebWISE: Web Interface Control and Sequential Exploration with Large
Language Models | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper investigates using a Large Language Model (LLM) to automatically
perform web software tasks using click, scroll, and text input operations.
Previous approaches, such as reinforcement learning (RL) or imitation learning,
are inefficient to train and task-specific. Our method uses filtered Document
Object Mod... | [
{
"created": "Tue, 24 Oct 2023 17:57:03 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Oct 2023 03:54:11 GMT",
"version": "v2"
}
] | 2023-10-26 | [
[
"Tao",
"Heyi",
""
],
[
"T",
"Sethuraman",
"V"
],
[
"Shlapentokh-Rothman",
"Michal",
""
],
[
"Hoiem",
"Derek",
""
]
] | The paper investigates using a Large Language Model (LLM) to automatically perform web software tasks using click, scroll, and text input operations. Previous approaches, such as reinforcement learning (RL) or imitation learning, are inefficient to train and task-specific. Our method uses filtered Document Object Model... |
2302.06556 | Dr. Suryansh Kumar | Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool | VA-DepthNet: A Variational Approach to Single Image Depth Prediction | Accepted for publication at ICLR 2023 (Spotlight Oral Presentation).
Draft info: 21 pages, 13 tables, 8 figures | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce VA-DepthNet, a simple, effective, and accurate deep neural
network approach for the single-image depth prediction (SIDP) problem. The
proposed approach advocates using classical first-order variational constraints
for this problem. While state-of-the-art deep neural network methods for SIDP
learn the sce... | [
{
"created": "Mon, 13 Feb 2023 17:55:58 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Feb 2023 21:17:03 GMT",
"version": "v2"
}
] | 2023-02-17 | [
[
"Liu",
"Ce",
""
],
[
"Kumar",
"Suryansh",
""
],
[
"Gu",
"Shuhang",
""
],
[
"Timofte",
"Radu",
""
],
[
"Van Gool",
"Luc",
""
]
] | We introduce VA-DepthNet, a simple, effective, and accurate deep neural network approach for the single-image depth prediction (SIDP) problem. The proposed approach advocates using classical first-order variational constraints for this problem. While state-of-the-art deep neural network methods for SIDP learn the scene... |
2406.08335 | Mingjun Zhong | Anthony Mbata and Yaji Sripada and Mingjun Zhong | A Survey of Pipeline Tools for Data Engineering | 18 pages, 7 figures | null | null | null | cs.LG cs.AI cs.DB stat.CO | http://creativecommons.org/licenses/by/4.0/ | Currently, a variety of pipeline tools are available for use in data
engineering. Data scientists can use these tools to resolve data wrangling
issues associated with data and accomplish some data engineering tasks from
data ingestion through data preparation to utilization as input for machine
learning (ML). Some of... | [
{
"created": "Wed, 12 Jun 2024 15:41:06 GMT",
"version": "v1"
}
] | 2024-06-21 | [
[
"Mbata",
"Anthony",
""
],
[
"Sripada",
"Yaji",
""
],
[
"Zhong",
"Mingjun",
""
]
] | Currently, a variety of pipeline tools are available for use in data engineering. Data scientists can use these tools to resolve data wrangling issues associated with data and accomplish some data engineering tasks from data ingestion through data preparation to utilization as input for machine learning (ML). Some of t... |
2311.12327 | Lijian Xu | Xiaoyu Yang, Lijian Xu, Hao Sun, Hongsheng Li, Shaoting Zhang | Enhancing Visual Grounding and Generalization: A Multi-Task Cycle
Training Approach for Vision-Language Models | 22 pages | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Visual grounding (VG) occupies a pivotal position in multi-modality
vision-language models. In this study, we propose ViLaM, a large multi-modality
model, that supports multi-tasks of VG using the cycle training strategy, with
abundant interaction instructions. The cycle training between referring
expression generati... | [
{
"created": "Tue, 21 Nov 2023 03:40:09 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Apr 2024 01:50:55 GMT",
"version": "v2"
}
] | 2024-04-29 | [
[
"Yang",
"Xiaoyu",
""
],
[
"Xu",
"Lijian",
""
],
[
"Sun",
"Hao",
""
],
[
"Li",
"Hongsheng",
""
],
[
"Zhang",
"Shaoting",
""
]
] | Visual grounding (VG) occupies a pivotal position in multi-modality vision-language models. In this study, we propose ViLaM, a large multi-modality model, that supports multi-tasks of VG using the cycle training strategy, with abundant interaction instructions. The cycle training between referring expression generation... |
1712.06750 | Kangqi Liu | Kangqi Liu and Meixia Tao | Exploiting Tradeoff Between Transmission Diversity and Content Diversity
in Multi-Cell Edge Caching | Accepted by IEEE International Conference on Communications (ICC),
Kansas City, MO, USA, May 2018 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Caching in multi-cell networks faces a well-known dilemma, i.e., to cache
same contents among multiple edge nodes (ENs) to enable transmission
cooperation/diversity for higher transmission efficiency, or to cache different
contents to enable content diversity for higher cache hit rate. In this work,
we introduce a pa... | [
{
"created": "Tue, 19 Dec 2017 02:08:25 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Dec 2017 01:01:00 GMT",
"version": "v2"
},
{
"created": "Tue, 20 Feb 2018 07:24:47 GMT",
"version": "v3"
}
] | 2018-02-21 | [
[
"Liu",
"Kangqi",
""
],
[
"Tao",
"Meixia",
""
]
] | Caching in multi-cell networks faces a well-known dilemma, i.e., to cache same contents among multiple edge nodes (ENs) to enable transmission cooperation/diversity for higher transmission efficiency, or to cache different contents to enable content diversity for higher cache hit rate. In this work, we introduce a part... |
2306.03805 | Ajay Jaiswal | Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang | The Emergence of Essential Sparsity in Large Pre-trained Models: The
Weights that Matter | Added new results on LLMs and N:M Sparsity | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Large pre-trained transformers are show-stealer in modern-day deep learning,
and it becomes crucial to comprehend the parsimonious patterns that exist
within them as they grow in scale. With exploding parameter counts, Lottery
Ticket Hypothesis (LTH) and its variants, have lost their pragmatism in
sparsifying them du... | [
{
"created": "Tue, 6 Jun 2023 15:49:09 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Aug 2023 21:15:46 GMT",
"version": "v2"
}
] | 2023-08-11 | [
[
"Jaiswal",
"Ajay",
""
],
[
"Liu",
"Shiwei",
""
],
[
"Chen",
"Tianlong",
""
],
[
"Wang",
"Zhangyang",
""
]
] | Large pre-trained transformers are show-stealer in modern-day deep learning, and it becomes crucial to comprehend the parsimonious patterns that exist within them as they grow in scale. With exploding parameter counts, Lottery Ticket Hypothesis (LTH) and its variants, have lost their pragmatism in sparsifying them due ... |
2302.00236 | Jianke Yang | Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu | Generative Adversarial Symmetry Discovery | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the success of equivariant neural networks in scientific
applications, they require knowing the symmetry group a priori. However, it may
be difficult to know which symmetry to use as an inductive bias in practice.
Enforcing the wrong symmetry could even hurt the performance. In this paper, we
propose a framew... | [
{
"created": "Wed, 1 Feb 2023 04:28:36 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Feb 2023 21:03:50 GMT",
"version": "v2"
},
{
"created": "Sun, 4 Jun 2023 00:13:53 GMT",
"version": "v3"
},
{
"created": "Sun, 18 Jun 2023 17:33:14 GMT",
"version": "v4"
}
] | 2023-06-21 | [
[
"Yang",
"Jianke",
""
],
[
"Walters",
"Robin",
""
],
[
"Dehmamy",
"Nima",
""
],
[
"Yu",
"Rose",
""
]
] | Despite the success of equivariant neural networks in scientific applications, they require knowing the symmetry group a priori. However, it may be difficult to know which symmetry to use as an inductive bias in practice. Enforcing the wrong symmetry could even hurt the performance. In this paper, we propose a framewor... |
2403.14986 | Juliette Woodrow | Juliette Woodrow, Ali Malik, Chris Piech | AI Teaches the Art of Elegant Coding: Timely, Fair, and Helpful Style
Feedback in a Global Course | null | Proceedings of the 55th ACM Technical Symposium on Computer
Science Education (SIGCSE); March 2024 (1442-1448) | 10.1145/3626252.3630773 | null | cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Teaching students how to write code that is elegant, reusable, and
comprehensible is a fundamental part of CS1 education. However, providing this
"style feedback" in a timely manner has proven difficult to scale. In this
paper, we present our experience deploying a novel, real-time style feedback
tool in Code in Plac... | [
{
"created": "Fri, 22 Mar 2024 06:45:39 GMT",
"version": "v1"
}
] | 2024-03-25 | [
[
"Woodrow",
"Juliette",
""
],
[
"Malik",
"Ali",
""
],
[
"Piech",
"Chris",
""
]
] | Teaching students how to write code that is elegant, reusable, and comprehensible is a fundamental part of CS1 education. However, providing this "style feedback" in a timely manner has proven difficult to scale. In this paper, we present our experience deploying a novel, real-time style feedback tool in Code in Place,... |
1905.02239 | Atul Kr. Ojha Dr | Atul Kr. Ojha | English-Bhojpuri SMT System: Insights from the Karaka Model | 211 pages and Submitted at JNU New Delhi | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | This thesis has been divided into six chapters namely: Introduction, Karaka
Model and it impacts on Dependency Parsing, LT Resources for Bhojpuri,
English-Bhojpuri SMT System: Experiment, Evaluation of EB-SMT System, and
Conclusion. Chapter one introduces this PhD research by detailing the
motivation of the study, th... | [
{
"created": "Mon, 6 May 2019 19:04:57 GMT",
"version": "v1"
}
] | 2019-05-08 | [
[
"Ojha",
"Atul Kr.",
""
]
] | This thesis has been divided into six chapters namely: Introduction, Karaka Model and it impacts on Dependency Parsing, LT Resources for Bhojpuri, English-Bhojpuri SMT System: Experiment, Evaluation of EB-SMT System, and Conclusion. Chapter one introduces this PhD research by detailing the motivation of the study, the ... |
2212.11147 | Michael Mislove | Benedetto Intrigila, Giulio Manzonetto, Nicolas Munnich | Extended Addressing Machines for PCF, with Explicit Substitutions | 16 pages, 5 pages appendix | Electronic Notes in Theoretical Informatics and Computer Science,
Volume 1 - Proceedings of MFPS XXXVIII (February 22, 2023) entics:10533 | 10.46298/entics.10533 | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | Addressing machines have been introduced as a formalism to construct models
of the pure, untyped lambda-calculus. We extend the syntax of their programs by
adding instructions for executing arithmetic operations on natural numbers, and
introduce a reflection principle allowing certain machines to access their own
add... | [
{
"created": "Fri, 9 Dec 2022 15:12:48 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Feb 2023 16:59:50 GMT",
"version": "v2"
},
{
"created": "Wed, 15 Feb 2023 21:02:54 GMT",
"version": "v3"
},
{
"created": "Mon, 20 Feb 2023 15:52:49 GMT",
"version": "v4"
}
] | 2023-06-22 | [
[
"Intrigila",
"Benedetto",
""
],
[
"Manzonetto",
"Giulio",
""
],
[
"Munnich",
"Nicolas",
""
]
] | Addressing machines have been introduced as a formalism to construct models of the pure, untyped lambda-calculus. We extend the syntax of their programs by adding instructions for executing arithmetic operations on natural numbers, and introduce a reflection principle allowing certain machines to access their own addre... |
1905.02495 | Christos Liaskos K. | Christos Liaskos, Ageliki Tsioliaridou, Shuai Nie, Andreas
Pitsillides, Sotiris Ioannidis, Ian Akyildiz | An Interpretable Neural Network for Configuring Programmable Wireless
Environments | In proceedings of IEEE SPAWC 2019 - Special Session on Signal
Processing Advances for Emerging Transceiver Hardware. This work was funded
by the European Union via the Horizon 2020: Future Emerging Topics call
(FETOPEN), grant EU736876, project VISORSURF (http://www.visorsurf.eu) | null | null | null | cs.ET cs.LG cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software-defined metasurfaces (SDMs) comprise a dense topology of basic
elements called meta-atoms, exerting the highest degree of control over surface
currents among intelligent panel technologies. As such, they can transform
impinging electromagnetic (EM) waves in complex ways, modifying their
direction, power, fre... | [
{
"created": "Tue, 7 May 2019 12:19:14 GMT",
"version": "v1"
}
] | 2019-05-08 | [
[
"Liaskos",
"Christos",
""
],
[
"Tsioliaridou",
"Ageliki",
""
],
[
"Nie",
"Shuai",
""
],
[
"Pitsillides",
"Andreas",
""
],
[
"Ioannidis",
"Sotiris",
""
],
[
"Akyildiz",
"Ian",
""
]
] | Software-defined metasurfaces (SDMs) comprise a dense topology of basic elements called meta-atoms, exerting the highest degree of control over surface currents among intelligent panel technologies. As such, they can transform impinging electromagnetic (EM) waves in complex ways, modifying their direction, power, frequ... |
2407.12878 | Naama Rozen | Naama Rozen, Gal Elidan, Amir Globerson, Ella Daniel | Do LLMs have Consistent Values? | 10 pages, 5 figures, and there are more in the appendix | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Values are a basic driving force underlying human behavior. Large Language
Models (LLM) technology is constantly improving towards human-like dialogue.
However, little research has been done to study the values exhibited in text
generated by LLMs. Here we study this question by turning to the rich
literature on value... | [
{
"created": "Tue, 16 Jul 2024 08:58:00 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jul 2024 14:24:47 GMT",
"version": "v2"
}
] | 2024-07-22 | [
[
"Rozen",
"Naama",
""
],
[
"Elidan",
"Gal",
""
],
[
"Globerson",
"Amir",
""
],
[
"Daniel",
"Ella",
""
]
] | Values are a basic driving force underlying human behavior. Large Language Models (LLM) technology is constantly improving towards human-like dialogue. However, little research has been done to study the values exhibited in text generated by LLMs. Here we study this question by turning to the rich literature on value s... |
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