id stringlengths 9 10 | submitter stringlengths 1 64 ⌀ | authors stringlengths 4 7.24k | title stringlengths 1 278 | comments stringlengths 1 762 ⌀ | journal-ref stringlengths 1 557 ⌀ | doi stringlengths 11 153 ⌀ | report-no stringlengths 2 254 ⌀ | categories stringlengths 5 98 | license stringclasses 9
values | abstract stringlengths 6 3.8k | versions list | update_date timestamp[s] | authors_parsed list | predictions stringclasses 2
values | probabilities float64 0.5 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2310.02898 | Benjamin Heymann | Benjamin Heymann, Alejandro Jofr\'e | Some bidding games converging to their unique pure equilibrium | null | null | null | null | cs.GT math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a class of Bayesian bidding games for which we prove that the
set of pure Nash equilibria is a (non-empty) sublattice and we give a
sufficient condition for uniqueness that is often verified in the context of
markets with inelastic demand. We propose a dynamic that converges to the
extrema of the equilib... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 15:37:03 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 17:13:59 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Heymann",
"Benjamin",
""
],
[
"Jofré",
"Alejandro",
""
]
] | not_new_dataset | 0.99728 |
2310.02911 | Umut Can Cabuk | Massimiliano Silenzi and Umut Can Cabuk | Deciphering the Crypto-shopper: Knowledge and Preferences of Consumers
Using Cryptocurrencies for Purchases | Cryptorefills Labs Whitepaper. 13 pages | null | null | null | cs.CY cs.CE cs.ET | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The fast-growing cryptocurrency sector presents both challenges and
opportunities for businesses and consumers alike. This study investigates the
knowledge, expertise, and buying habits of people who shop using
cryptocurrencies. Our survey of 516 participants shows that knowledge levels
vary from beginners to experts... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 15:48:28 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 06:46:02 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Silenzi",
"Massimiliano",
""
],
[
"Cabuk",
"Umut Can",
""
]
] | not_new_dataset | 0.997273 |
2310.02954 | Jing Xiong | Jiong Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin,
Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang,
Chengming Li, Xiaodan Liang | DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for
In-Context Learning | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Recent advances in natural language processing, primarily propelled by Large
Language Models (LLMs), have showcased their remarkable capabilities grounded
in in-context learning. A promising avenue for guiding LLMs in intricate
reasoning tasks involves the utilization of intermediate reasoning steps within
the Chain-... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 16:44:37 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 16:24:58 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Xiong",
"Jiong",
""
],
[
"Li",
"Zixuan",
""
],
[
"Zheng",
"Chuanyang",
""
],
[
"Guo",
"Zhijiang",
""
],
[
"Yin",
"Yichun",
""
],
[
"Xie",
"Enze",
""
],
[
"Yang",
"Zhicheng",
""
],
[
"Cao",
"Qin... | not_new_dataset | 0.997436 |
2310.02964 | Zihan Liu | Zihan Liu, Ge Wang, Jiaqi Wang, Jiangbin Zheng, Stan Z. Li | Co-modeling the Sequential and Graphical Routes for Peptide
Representation Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Peptides are formed by the dehydration condensation of multiple amino acids.
The primary structure of a peptide can be represented either as an amino acid
sequence or as a molecular graph consisting of atoms and chemical bonds.
Previous studies have indicated that deep learning routes specific to
sequential and graph... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 16:58:25 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 12:42:25 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Liu",
"Zihan",
""
],
[
"Wang",
"Ge",
""
],
[
"Wang",
"Jiaqi",
""
],
[
"Zheng",
"Jiangbin",
""
],
[
"Li",
"Stan Z.",
""
]
] | not_new_dataset | 0.997392 |
2310.02969 | Guancheng Qiu | Guancheng Qiu, Mathieu Tanneau, Pascal Van Hentenryck | Dual Conic Proxies for AC Optimal Power Flow | null | null | null | null | cs.LG math.OC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In recent years, there has been significant interest in the development of
machine learning-based optimization proxies for AC Optimal Power Flow (AC-OPF).
Although significant progress has been achieved in predicting high-quality
primal solutions, no existing learning-based approach can provide valid dual
bounds for ... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 17:06:30 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Qiu",
"Guancheng",
""
],
[
"Tanneau",
"Mathieu",
""
],
[
"Van Hentenryck",
"Pascal",
""
]
] | not_new_dataset | 0.997348 |
2310.02995 | Pengyuan Lu | Pengyuan Lu and Michele Caprio and Eric Eaton and Insup Lee | IBCL: Zero-shot Model Generation for Task Trade-offs in Continual
Learning | Duplicate submission to arxiv | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Like generic multi-task learning, continual learning has the nature of
multi-objective optimization, and therefore faces a trade-off between the
performance of different tasks. That is, to optimize for the current task
distribution, it may need to compromise performance on some previous tasks.
This means that there e... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 17:30:50 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 17:58:37 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Lu",
"Pengyuan",
""
],
[
"Caprio",
"Michele",
""
],
[
"Eaton",
"Eric",
""
],
[
"Lee",
"Insup",
""
]
] | not_new_dataset | 0.997348 |
2310.03006 | Zhizheng Liu | Zhizheng Liu, Mattia Segu, Fisher Yu | COOLer: Class-Incremental Learning for Appearance-Based Multiple Object
Tracking | GCPR 2023 Oral | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Continual learning allows a model to learn multiple tasks sequentially while
retaining the old knowledge without the training data of the preceding tasks.
This paper extends the scope of continual learning research to
class-incremental learning for multiple object tracking (MOT), which is
desirable to accommodate the... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 17:49:48 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 05:54:34 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Liu",
"Zhizheng",
""
],
[
"Segu",
"Mattia",
""
],
[
"Yu",
"Fisher",
""
]
] | not_new_dataset | 0.996938 |
2310.03031 | Stefanie Urchs | Stefanie Urchs and Veronika Thurner and Matthias A{\ss}enmacher and
Christian Heumann and Stephanie Thiemichen | How Prevalent is Gender Bias in ChatGPT? -- Exploring German and English
ChatGPT Responses | Accepted @ "1st Workshop on Biased Data in Conversational Agents"
(co-located with ECML PKDD 2023). This is the author's version of the work.
The definite version of record will be published in the proceedings | null | null | null | cs.CL cs.AI cs.CY cs.LG | http://creativecommons.org/licenses/by/4.0/ | With the introduction of ChatGPT, OpenAI made large language models (LLM)
accessible to users with limited IT expertise. However, users with no
background in natural language processing (NLP) might lack a proper
understanding of LLMs. Thus the awareness of their inherent limitations, and
therefore will take the syste... | [
{
"version": "v1",
"created": "Thu, 21 Sep 2023 07:54:25 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Urchs",
"Stefanie",
""
],
[
"Thurner",
"Veronika",
""
],
[
"Aßenmacher",
"Matthias",
""
],
[
"Heumann",
"Christian",
""
],
[
"Thiemichen",
"Stephanie",
""
]
] | not_new_dataset | 0.997556 |
2310.03032 | Cong Xu | Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang | Graph-enhanced Optimizers for Structure-aware Recommendation Embedding
Evolution | 13 pages | null | null | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Embedding plays a critical role in modern recommender systems because they
are virtual representations of real-world entities and the foundation for
subsequent decision models. In this paper, we propose a novel embedding update
mechanism, Structure-aware Embedding Evolution (SEvo for short), to encourage
related node... | [
{
"version": "v1",
"created": "Sun, 24 Sep 2023 04:09:16 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Xu",
"Cong",
""
],
[
"Wang",
"Jun",
""
],
[
"Wang",
"Jianyong",
""
],
[
"Zhang",
"Wei",
""
]
] | not_new_dataset | 0.997359 |
2310.03033 | EPTCS | Andreea Postovan, M\u{a}d\u{a}lina Era\c{s}cu | Benchmarking Local Robustness of High-Accuracy Binary Neural Networks
for Enhanced Traffic Sign Recognition | In Proceedings FROM 2023, arXiv:2309.12959 | EPTCS 389, 2023, pp. 120-130 | 10.4204/EPTCS.389.10 | null | cs.CV cs.AI cs.LG cs.LO | http://creativecommons.org/licenses/by/4.0/ | Traffic signs play a critical role in road safety and traffic management for
autonomous driving systems. Accurate traffic sign classification is essential
but challenging due to real-world complexities like adversarial examples and
occlusions. To address these issues, binary neural networks offer promise in
construct... | [
{
"version": "v1",
"created": "Mon, 25 Sep 2023 01:17:14 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Postovan",
"Andreea",
""
],
[
"Eraşcu",
"Mădălina",
""
]
] | not_new_dataset | 0.997358 |
2310.03036 | Wen-Jie Liu | Wenjie Liu, Bosi Wang, Jihao Fan, Yebo Ge, Mohammed Zidan | A quantum system control method based on enhanced reinforcement learning | 10 pages, 3 figures | Soft Computing, 2022. 26(14): p. 6567-6575 | 10.1007/s00500-022-07179-5 | null | cs.ET cs.AI quant-ph | http://creativecommons.org/licenses/by/4.0/ | Traditional quantum system control methods often face different constraints,
and are easy to cause both leakage and stochastic control errors under the
condition of limited resources. Reinforcement learning has been proved as an
efficient way to complete the quantum system control task. To learn a
satisfactory contro... | [
{
"version": "v1",
"created": "Sat, 30 Sep 2023 03:22:44 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Liu",
"Wenjie",
""
],
[
"Wang",
"Bosi",
""
],
[
"Fan",
"Jihao",
""
],
[
"Ge",
"Yebo",
""
],
[
"Zidan",
"Mohammed",
""
]
] | not_new_dataset | 0.997303 |
2310.03037 | Wen-Jie Liu | Wenjie Liu, Lu Wang | Quantum image edge detection based on eight-direction Sobel operator for
NEQR | 27 pages, 20 figures | Quantum Information Processing, 2022. 21(5): p. 190 | 10.1007/s11128-022-03527-4 | null | cs.CV cs.ET quant-ph | http://creativecommons.org/licenses/by/4.0/ | Quantum Sobel edge detection (QSED) is a kind of algorithm for image edge
detection using quantum mechanism, which can solve the real-time problem
encountered by classical algorithms. However, the existing QSED algorithms only
consider two- or four-direction Sobel operator, which leads to a certain loss
of edge detai... | [
{
"version": "v1",
"created": "Sun, 1 Oct 2023 05:38:59 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Liu",
"Wenjie",
""
],
[
"Wang",
"Lu",
""
]
] | not_new_dataset | 0.997303 |
2310.03038 | Wen-Jie Liu | Wenjie Liu, Lu Wang, Qingshan Wu | A quantum moving target segmentation algorithm for grayscale video | 15 pages, 15 figures | Advanced Quantum Technologies, 2023, In Production | 10.1002/qute.202300248 | null | cs.CV cs.ET quant-ph | http://creativecommons.org/licenses/by/4.0/ | The moving target segmentation (MTS) aims to segment out moving targets in
the video, however, the classical algorithm faces the huge challenge of
real-time processing in the current video era. Some scholars have successfully
demonstrated the quantum advantages in some video processing tasks, but not
concerning movin... | [
{
"version": "v1",
"created": "Sun, 1 Oct 2023 15:38:27 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Liu",
"Wenjie",
""
],
[
"Wang",
"Lu",
""
],
[
"Wu",
"Qingshan",
""
]
] | not_new_dataset | 0.997253 |
2310.03043 | Jianghong Zhou | Jianghong Zhou, Joyce C. Ho, Chen Lin, Eugene Agichtein | A Deep Reinforcement Learning Approach for Interactive Search with
Sentence-level Feedback | 9 pages, 7 figures, DRL4IR@CIKM | null | null | null | cs.LG cs.AI cs.HC cs.IR | http://creativecommons.org/licenses/by/4.0/ | Interactive search can provide a better experience by incorporating
interaction feedback from the users. This can significantly improve search
accuracy as it helps avoid irrelevant information and captures the users'
search intents. Existing state-of-the-art (SOTA) systems use reinforcement
learning (RL) models to in... | [
{
"version": "v1",
"created": "Tue, 3 Oct 2023 18:45:21 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Zhou",
"Jianghong",
""
],
[
"Ho",
"Joyce C.",
""
],
[
"Lin",
"Chen",
""
],
[
"Agichtein",
"Eugene",
""
]
] | not_new_dataset | 0.997375 |
2310.03044 | Krzysztof Borowski Mr | Krzysztof Borowski, Bartosz Bali\'s | scg-cli -- a Tool Supporting Software Comprehension via Extraction and
Analysis of Semantic Code Graph | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present scg-cli, a~command line tool facilitating software comprehension.
The tool extracts semantic information about code structure and dependencies
from the Java and Scala projects, and structures it as a~Semantic Code Graph
(SCG), an information model underlying scg-cli. The SCG data, once written into
a~porta... | [
{
"version": "v1",
"created": "Tue, 3 Oct 2023 19:04:51 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Borowski",
"Krzysztof",
""
],
[
"Baliś",
"Bartosz",
""
]
] | not_new_dataset | 0.996638 |
2310.03046 | Jieyu Zhang | Jieyu Zhang, Ranjay Krishna, Ahmed H. Awadallah, Chi Wang | EcoAssistant: Using LLM Assistant More Affordably and Accurately | null | null | null | null | cs.SE cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Today, users ask Large language models (LLMs) as assistants to answer queries
that require external knowledge; they ask about the weather in a specific city,
about stock prices, and even about where specific locations are within their
neighborhood. These queries require the LLM to produce code that invokes
external A... | [
{
"version": "v1",
"created": "Tue, 3 Oct 2023 22:16:13 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Zhang",
"Jieyu",
""
],
[
"Krishna",
"Ranjay",
""
],
[
"Awadallah",
"Ahmed H.",
""
],
[
"Wang",
"Chi",
""
]
] | not_new_dataset | 0.997105 |
2310.03049 | Hasindu Kariyawasam | Hasindu Kariyawasam, Ramith Hettiarachchi, Dushan Wadduwage | QuATON: Quantization Aware Training of Optical Neurons | null | null | null | null | cs.LG eess.IV physics.optics | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Optical neural architectures (ONAs) use coding elements with optimized
physical parameters to perform intelligent measurements. However, fabricating
ONAs while maintaining design performances is challenging. Limitations in
fabrication techniques often limit the realizable precision of the trained
parameters. Physical... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 02:18:28 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Kariyawasam",
"Hasindu",
""
],
[
"Hettiarachchi",
"Ramith",
""
],
[
"Wadduwage",
"Dushan",
""
]
] | not_new_dataset | 0.997338 |
2310.03051 | Pei Zhou | Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin
R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida
Nematzadeh, Shyam Upadhyay, Manaal Faruqui | How FaR Are Large Language Models From Agents with Theory-of-Mind? | Preprint, 18 pages, 6 figures, 6 tables | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | "Thinking is for Doing." Humans can infer other people's mental states from
observations--an ability called Theory-of-Mind (ToM)--and subsequently act
pragmatically on those inferences. Existing question answering benchmarks such
as ToMi ask models questions to make inferences about beliefs of characters in
a story, ... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 06:47:58 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Zhou",
"Pei",
""
],
[
"Madaan",
"Aman",
""
],
[
"Potharaju",
"Srividya Pranavi",
""
],
[
"Gupta",
"Aditya",
""
],
[
"McKee",
"Kevin R.",
""
],
[
"Holtzman",
"Ari",
""
],
[
"Pujara",
"Jay",
""
],
[
... | not_new_dataset | 0.997392 |
2310.03052 | Sangjun Park | Sangjun Park and JinYeong Bak | Memoria: Hebbian Memory Architecture for Human-Like Sequential
Processing | Under review as a conference paper at ICLR 2024. 20 pages, 9 figures,
5 tables | null | null | null | cs.LG cs.AI cs.NE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Transformers have demonstrated their success in various domains and tasks.
However, Transformers struggle with long input sequences due to their limited
capacity. While one solution is to increase input length, endlessly stretching
the length is unrealistic. Furthermore, humans selectively remember and use
only relev... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 09:40:46 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Park",
"Sangjun",
""
],
[
"Bak",
"JinYeong",
""
]
] | not_new_dataset | 0.997277 |
2310.03055 | Ishaan Kale | Ruturaj Reddy, Utkarsh Gupta, Ishaan Kale, Apoorva Shastri, Anand J
Kulkarni | Modified LAB Algorithm with Clustering-based Search Space Reduction
Method for solving Engineering Design Problems | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A modified LAB algorithm is introduced in this paper. It builds upon the
original LAB algorithm (Reddy et al. 2023), which is a socio-inspired algorithm
that models competitive and learning behaviours within a group, establishing
hierarchical roles. The proposed algorithm incorporates the roulette wheel
approach and ... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 12:35:13 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Reddy",
"Ruturaj",
""
],
[
"Gupta",
"Utkarsh",
""
],
[
"Kale",
"Ishaan",
""
],
[
"Shastri",
"Apoorva",
""
],
[
"Kulkarni",
"Anand J",
""
]
] | not_new_dataset | 0.99724 |
2310.03059 | Yiwen Tang | Ivan Tang and Eric Zhang and Ray Gu | Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models | 10 pages. The specialized PEFT framework for 3D pre-trained models,
which achieves competitive performance to full fine-tuning, and significantly
reduces the computational resources. Project page:
https://github.com/EvenJoker/Point-PEFT | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The popularity of pre-trained large models has revolutionized downstream
tasks across diverse fields, such as language, vision, and multi-modality. To
minimize the adaption cost for downstream tasks, many Parameter-Efficient
Fine-Tuning (PEFT) techniques are proposed for language and 2D image
pre-trained models. Howe... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 16:49:36 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Tang",
"Ivan",
""
],
[
"Zhang",
"Eric",
""
],
[
"Gu",
"Ray",
""
]
] | not_new_dataset | 0.996882 |
2310.03084 | Deniz Bayazit | Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine
Bosselut | Discovering Knowledge-Critical Subnetworks in Pretrained Language Models | null | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pretrained language models (LMs) encode implicit representations of knowledge
in their parameters. However, localizing these representations and
disentangling them from each other remains an open problem. In this work, we
investigate whether pretrained language models contain various
knowledge-critical subnetworks: p... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 18:02:01 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Bayazit",
"Deniz",
""
],
[
"Foroutan",
"Negar",
""
],
[
"Chen",
"Zeming",
""
],
[
"Weiss",
"Gail",
""
],
[
"Bosselut",
"Antoine",
""
]
] | not_new_dataset | 0.997429 |
2310.03085 | Yann Traonmilin | Hui Shi (IMB), Yann Traonmilin (IMB), J-F Aujol (IMB) | Batch-less stochastic gradient descent for compressive learning of deep
regularization for image denoising | null | null | null | null | cs.LG cs.CV cs.IT eess.IV math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of denoising with the help of prior information taken
from a database of clean signals or images. Denoising with variational methods
is very efficient if a regularizer well adapted to the nature of the data is
available. Thanks to the maximum a posteriori Bayesian framework, such
regularizer c... | [
{
"version": "v1",
"created": "Mon, 2 Oct 2023 11:46:11 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Shi",
"Hui",
"",
"IMB"
],
[
"Traonmilin",
"Yann",
"",
"IMB"
],
[
"Aujol",
"J-F",
"",
"IMB"
]
] | not_new_dataset | 0.997421 |
2310.03086 | Suresh Kumar | Suresh Kumar, Dhanyashri Guruparan, Pavithren Aaron, Philemon Telajan,
Kavinesh Mahadevan, Dinesh Davagandhi, Ong Xin Yue | Deep Learning in Computational Biology: Advancements, Challenges, and
Future Outlook | 50 pages, 1 figure, 2 tables | null | null | null | cs.LG cs.AI q-bio.QM | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Deep learning has become a powerful tool in computational biology,
revolutionising the analysis and interpretation of biological data over time.
In our article review, we delve into various aspects of deep learning in
computational biology. Specifically, we examine its history, advantages, and
challenges. Our focus i... | [
{
"version": "v1",
"created": "Mon, 2 Oct 2023 07:53:05 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Kumar",
"Suresh",
""
],
[
"Guruparan",
"Dhanyashri",
""
],
[
"Aaron",
"Pavithren",
""
],
[
"Telajan",
"Philemon",
""
],
[
"Mahadevan",
"Kavinesh",
""
],
[
"Davagandhi",
"Dinesh",
""
],
[
"Yue",
"Ong Xin",
... | not_new_dataset | 0.997487 |
2310.03088 | Solon Falas | Solon Falas, Markos Asprou, Charalambos Konstantinou, Maria K. Michael | Physics-Informed Neural Networks for Accelerating Power System State
Estimation | null | null | null | null | cs.LG cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | State estimation is the cornerstone of the power system control center since
it provides the operating condition of the system in consecutive time
intervals. This work investigates the application of physics-informed neural
networks (PINNs) for accelerating power systems state estimation in monitoring
the operation o... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 18:14:48 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Falas",
"Solon",
""
],
[
"Asprou",
"Markos",
""
],
[
"Konstantinou",
"Charalambos",
""
],
[
"Michael",
"Maria K.",
""
]
] | not_new_dataset | 0.997359 |
2310.03091 | Daile Osorio-Roig | Daile Osorio-Roig, Lazaro J. Gonzalez-Soler, Christian Rathgeb,
Christoph Busch | Privacy-preserving Multi-biometric Indexing based on Frequent Binary
Patterns | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The development of large-scale identification systems that ensure the privacy
protection of enrolled subjects represents a major challenge. Biometric
deployments that provide interoperability and usability by including efficient
multi-biometric solutions are a recent requirement. In the context of privacy
protection,... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 18:18:24 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Osorio-Roig",
"Daile",
""
],
[
"Gonzalez-Soler",
"Lazaro J.",
""
],
[
"Rathgeb",
"Christian",
""
],
[
"Busch",
"Christoph",
""
]
] | not_new_dataset | 0.997417 |
2310.03094 | Murong Yue | Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao | Large Language Model Cascades with Mixture of Thoughts Representations
for Cost-efficient Reasoning | null | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) such as GPT-4 have exhibited remarkable
performance in a variety of tasks, but this strong performance often comes with
the high expense of using paid API services. In this paper, we are motivated to
study building an LLM cascade to save the cost of using LLMs, particularly for
performing... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 18:21:17 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Yue",
"Murong",
""
],
[
"Zhao",
"Jie",
""
],
[
"Zhang",
"Min",
""
],
[
"Du",
"Liang",
""
],
[
"Yao",
"Ziyu",
""
]
] | not_new_dataset | 0.99747 |
2310.03095 | Hossein B. Jond | Hossein B. Jond | Opinion Dynamics Optimization Through Noncooperative Differential Games | This paper was presented at 2023 9th International Conference on
Control, Decision and Information Technologies (CoDIT) | null | null | null | cs.SI | http://creativecommons.org/licenses/by/4.0/ | In this paper, I study optimizing the opinion formation of a social network
of a population of individuals on a graph whose opinion evolves according to
the Hegselmann-Krause model for opinion dynamics. I propose an optimization
problem based on a differential game for a population of individuals who are
not stubborn... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 18:25:47 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Jond",
"Hossein B.",
""
]
] | not_new_dataset | 0.997226 |
2310.03098 | Zichen Zhu | Zichen Zhu, Xiao Hu, Manos Athanassoulis | NOCAP: Near-Optimal Correlation-Aware Partitioning Joins | null | null | null | null | cs.DB | http://creativecommons.org/licenses/by/4.0/ | Storage-based joins are still commonly used today because the memory budget
does not always scale with the data size. One of the many join algorithms
developed that has been widely deployed and proven to be efficient is the
Hybrid Hash Join (HHJ), which is designed to exploit any available memory to
maximize the data... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 18:28:10 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Zhu",
"Zichen",
""
],
[
"Hu",
"Xiao",
""
],
[
"Athanassoulis",
"Manos",
""
]
] | not_new_dataset | 0.997297 |
2310.03103 | Guoyizhe Wei | Guoyizhe Wei, Feng Wang, Anshul Shah, Rama Chellappa | Dual Prompt Tuning for Domain-Aware Federated Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning is a distributed machine learning paradigm that allows
multiple clients to collaboratively train a shared model with their local data.
Nonetheless, conventional federated learning algorithms often struggle to
generalize well due to the ubiquitous domain shift across clients. In this
work, we consid... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 18:47:34 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Wei",
"Guoyizhe",
""
],
[
"Wang",
"Feng",
""
],
[
"Shah",
"Anshul",
""
],
[
"Chellappa",
"Rama",
""
]
] | not_new_dataset | 0.997402 |
2310.03104 | Monica Ribero | William Kong, Andr\'es Mu\~noz Medina and M\'onica Ribero | DP-SGD for non-decomposable objective functions | null | null | null | null | cs.LG cs.CR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Unsupervised pre-training is a common step in developing computer vision
models and large language models. In this setting, the absence of labels
requires the use of similarity-based loss functions, such as contrastive loss,
that favor minimizing the distance between similar inputs and maximizing the
distance between... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 18:48:16 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Kong",
"William",
""
],
[
"Medina",
"Andrés Muñoz",
""
],
[
"Ribero",
"Mónica",
""
]
] | not_new_dataset | 0.997397 |
2310.03105 | Hanrui Zhang | Yuan Deng, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni, Hanrui
Zhang, Song Zuo | Efficiency of the Generalized Second-Price Auction for Value Maximizers | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the price of anarchy of the generalized second-price auction where
bidders are value maximizers (i.e., autobidders). We show that in general the
price of anarchy can be as bad as $0$. For comparison, the price of anarchy of
running VCG is $1/2$ in the autobidding world. We further show a fined-grained
price ... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 18:49:54 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Deng",
"Yuan",
""
],
[
"Mahdian",
"Mohammad",
""
],
[
"Mao",
"Jieming",
""
],
[
"Mirrokni",
"Vahab",
""
],
[
"Zhang",
"Hanrui",
""
],
[
"Zuo",
"Song",
""
]
] | not_new_dataset | 0.997413 |
2310.03108 | Hamid Mohammadi | Hamid Mohammadi, Ehsan Nazerfard, Tahereh Firoozi | Reinforcement Learning-based Mixture of Vision Transformers for Video
Violence Recognition | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Video violence recognition based on deep learning concerns accurate yet
scalable human violence recognition. Currently, most state-of-the-art video
violence recognition studies use CNN-based models to represent and categorize
videos. However, recent studies suggest that pre-trained transformers are more
accurate than... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 18:58:47 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Mohammadi",
"Hamid",
""
],
[
"Nazerfard",
"Ehsan",
""
],
[
"Firoozi",
"Tahereh",
""
]
] | not_new_dataset | 0.997361 |
2310.03111 | Rabia Gondur | Rabia Gondur, Usama Bin Sikandar, Evan Schaffer, Mikio Christian Aoi,
Stephen L Keeley | Multi-modal Gaussian Process Variational Autoencoders for Neural and
Behavioral Data | null | null | null | null | cs.LG q-bio.NC | http://creativecommons.org/licenses/by/4.0/ | Characterizing the relationship between neural population activity and
behavioral data is a central goal of neuroscience. While latent variable models
(LVMs) are successful in describing high-dimensional time-series data, they are
typically only designed for a single type of data, making it difficult to
identify stru... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 19:04:55 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Gondur",
"Rabia",
""
],
[
"Sikandar",
"Usama Bin",
""
],
[
"Schaffer",
"Evan",
""
],
[
"Aoi",
"Mikio Christian",
""
],
[
"Keeley",
"Stephen L",
""
]
] | not_new_dataset | 0.997348 |
2310.03119 | Tharindu Lakshan Yasarathna | Tharindu Lakshan Yasarathna, Lojenaa Navanesan, Simon Barque, Assanka
Sayakkara and Nhien-An Le-Khac | Crossed-IoT device portability of Electromagnetic Side Channel Analysis:
Challenges and Dataset | for associated dataset file, see
https://aseados.ucd.ie/datasets/EMSCA-2023-Latest/ | null | null | null | cs.LG cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | IoT (Internet of Things) refers to the network of interconnected physical
devices, vehicles, home appliances, and other items embedded with sensors,
software, and connectivity, enabling them to collect and exchange data. IoT
Forensics is collecting and analyzing digital evidence from IoT devices to
investigate cyberc... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 19:13:39 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Yasarathna",
"Tharindu Lakshan",
""
],
[
"Navanesan",
"Lojenaa",
""
],
[
"Barque",
"Simon",
""
],
[
"Sayakkara",
"Assanka",
""
],
[
"Le-Khac",
"Nhien-An",
""
]
] | not_new_dataset | 0.997495 |
2310.03122 | Md Rushdie Ibne Islam | Md Rushdie Ibne Islam | SPH-based framework for modelling fluid-structure interaction problems
with finite deformation and fracturing | null | null | null | null | cs.CE | http://creativecommons.org/licenses/by/4.0/ | Understanding crack propagation in structures subjected to fluid loads is
crucial in various engineering applications, ranging from underwater pipelines
to aircraft components. This study investigates the dynamic response of
structures, including their damage and fracture behaviour under hydrodynamic
load, emphasizin... | [
{
"version": "v1",
"created": "Fri, 22 Sep 2023 08:47:37 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Islam",
"Md Rushdie Ibne",
""
]
] | not_new_dataset | 0.997145 |
2310.03123 | Zihao Lin | Zihao Lin, Yan Sun, Yifan Shi, Xueqian Wang, Lifu Huang, Li Shen,
Dacheng Tao | Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models | 20 pages, 6 figures, preprint | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the blowout development of pre-trained models (PTMs), the efficient
tuning of these models for diverse downstream applications has emerged as a
pivotal research concern. Although recent investigations into prompt tuning
have provided promising avenues, three salient challenges persist: (1) memory
constraint: the... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 19:30:49 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Lin",
"Zihao",
""
],
[
"Sun",
"Yan",
""
],
[
"Shi",
"Yifan",
""
],
[
"Wang",
"Xueqian",
""
],
[
"Huang",
"Lifu",
""
],
[
"Shen",
"Li",
""
],
[
"Tao",
"Dacheng",
""
]
] | not_new_dataset | 0.997442 |
2310.03125 | Yihan Wu | Yihan Wu, Brandon Y. Feng, Heng Huang | Shielding the Unseen: Privacy Protection through Poisoning NeRF with
Spatial Deformation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we introduce an innovative method of safeguarding user privacy
against the generative capabilities of Neural Radiance Fields (NeRF) models.
Our novel poisoning attack method induces changes to observed views that are
imperceptible to the human eye, yet potent enough to disrupt NeRF's ability to
accurat... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 19:35:56 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Wu",
"Yihan",
""
],
[
"Feng",
"Brandon Y.",
""
],
[
"Huang",
"Heng",
""
]
] | not_new_dataset | 0.9974 |
2310.03128 | Yue Huang | Yue Huang and Jiawen Shi and Yuan Li and Chenrui Fan and Siyuan Wu and
Qihui Zhang and Yixin Liu and Pan Zhou and Yao Wan and Neil Zhenqiang Gong
and Lichao Sun | MetaTool Benchmark: Deciding Whether to Use Tools and Which to Use | null | null | null | null | cs.SE cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have garnered significant attention due to their
impressive natural language processing (NLP) capabilities. Recently, many
studies have focused on the tool utilization ability of LLMs. They primarily
investigated how LLMs effectively collaborate with given specific tools.
However, in scen... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 19:39:26 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Huang",
"Yue",
""
],
[
"Shi",
"Jiawen",
""
],
[
"Li",
"Yuan",
""
],
[
"Fan",
"Chenrui",
""
],
[
"Wu",
"Siyuan",
""
],
[
"Zhang",
"Qihui",
""
],
[
"Liu",
"Yixin",
""
],
[
"Zhou",
"Pan",
""
... | new_dataset | 0.997708 |
2310.03131 | Vignesh Viswanathan | Gagan Biradar, Yacine Izza, Elita Lobo, Vignesh Viswanathan, Yair Zick | Axiomatic Aggregations of Abductive Explanations | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The recent criticisms of the robustness of post hoc model approximation
explanation methods (like LIME and SHAP) have led to the rise of model-precise
abductive explanations. For each data point, abductive explanations provide a
minimal subset of features that are sufficient to generate the outcome. While
theoretical... | [
{
"version": "v1",
"created": "Fri, 29 Sep 2023 04:06:10 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Biradar",
"Gagan",
""
],
[
"Izza",
"Yacine",
""
],
[
"Lobo",
"Elita",
""
],
[
"Viswanathan",
"Vignesh",
""
],
[
"Zick",
"Yair",
""
]
] | not_new_dataset | 0.997462 |
2310.03132 | Yebin Wang | Adrian Stein, Yebin Wang, Yusuke Sakamoto, Bingnan Wang, and Huazhen
Fang | Application-Oriented Co-Design of Motors and Motions for a 6DOF Robot
Manipulator | null | null | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work investigates an application-driven co-design problem where the
motion and motors of a six degrees of freedom robotic manipulator are optimized
simultaneously, and the application is characterized by a set of tasks. Unlike
the state-of-the-art which selects motors from a product catalogue and performs
co-des... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 19:44:45 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Stein",
"Adrian",
""
],
[
"Wang",
"Yebin",
""
],
[
"Sakamoto",
"Yusuke",
""
],
[
"Wang",
"Bingnan",
""
],
[
"Fang",
"Huazhen",
""
]
] | not_new_dataset | 0.997268 |
2310.03137 | Edward Guo | Eddie Guo, Christopher Perlette, Mojtaba Sharifi, Lukas Grasse,
Matthew Tata, Vivian K. Mushahwar, Mahdi Tavakoli | Speech-Based Human-Exoskeleton Interaction for Lower Limb Motion
Planning | 13 pages, 8 figures, 2 tables | null | null | null | cs.RO cs.HC | http://creativecommons.org/licenses/by/4.0/ | This study presents a speech-based motion planning strategy (SBMP) developed
for lower limb exoskeletons to facilitate safe and compliant human-robot
interaction. A speech processing system, finite state machine, and central
pattern generator are the building blocks of the proposed strategy for online
planning of the... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 19:57:52 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Guo",
"Eddie",
""
],
[
"Perlette",
"Christopher",
""
],
[
"Sharifi",
"Mojtaba",
""
],
[
"Grasse",
"Lukas",
""
],
[
"Tata",
"Matthew",
""
],
[
"Mushahwar",
"Vivian K.",
""
],
[
"Tavakoli",
"Mahdi",
""
]
] | not_new_dataset | 0.997257 |
2310.03140 | Bryan Bo Cao | Bryan Bo Cao, Abrar Alali, Hansi Liu, Nicholas Meegan, Marco Gruteser,
Kristin Dana, Ashwin Ashok, Shubham Jain | ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time
Measurements | 22 pages, 12 figures, 9 tables. MobiCom 2023 ISACom | null | 10.1145/3615984.3616503 | null | cs.CV cs.MM | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Tracking subjects in videos is one of the most widely used functions in
camera-based IoT applications such as security surveillance, smart city traffic
safety enhancement, vehicle to pedestrian communication and so on. In the
computer vision domain, tracking is usually achieved by first detecting
subjects with boundi... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 20:05:40 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Cao",
"Bryan Bo",
""
],
[
"Alali",
"Abrar",
""
],
[
"Liu",
"Hansi",
""
],
[
"Meegan",
"Nicholas",
""
],
[
"Gruteser",
"Marco",
""
],
[
"Dana",
"Kristin",
""
],
[
"Ashok",
"Ashwin",
""
],
[
"Jain",
... | not_new_dataset | 0.99726 |
2310.03142 | Yong Deng | Yong Deng and Min Dong | Design and Optimization of Heterogeneous Coded Distributed Computing
with Nonuniform File Popularity | 15 pages, 7 figures, 3 tables | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies MapReduce-based heterogeneous coded distributed computing
(CDC) where, besides different computing capabilities at workers, input files
to be accessed by computing jobs have nonuniform popularity. We propose a file
placement strategy that can handle an arbitrary number of input files.
Furthermore, ... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 20:06:26 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Deng",
"Yong",
""
],
[
"Dong",
"Min",
""
]
] | not_new_dataset | 0.997392 |
2310.03146 | Son Nguyen | Adam Wang, Son Nguyen, Albert Montillo | Fairness-enhancing mixed effects deep learning improves fairness on in-
and out-of-distribution clustered (non-iid) data | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional deep learning (DL) suffers from two core problems. Firstly, it
assumes training samples are independent and identically distributed. However,
numerous real-world datasets group samples by shared measurements (e.g., study
participants or cells), violating this assumption. In these scenarios, DL can
show co... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 20:18:45 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Wang",
"Adam",
""
],
[
"Nguyen",
"Son",
""
],
[
"Montillo",
"Albert",
""
]
] | not_new_dataset | 0.997431 |
2310.03147 | Jovan Jeromela | Jovan Jeromela | Context-Based Tweet Engagement Prediction | Submitted as a Diploma Thesis at TU Wien on 2023-05-25. Advisor:
Peter Knees. 198 pages | null | 10.34726/hss.2023.79627 | null | cs.IR cs.LG cs.SI | http://creativecommons.org/licenses/by/4.0/ | Twitter is currently one of the biggest social media platforms. Its users may
share, read, and engage with short posts called tweets. For the ACM Recommender
Systems Conference 2020, Twitter published a dataset around 70 GB in size for
the annual RecSys Challenge. In 2020, the RecSys Challenge invited
participating t... | [
{
"version": "v1",
"created": "Thu, 28 Sep 2023 08:36:57 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Jeromela",
"Jovan",
""
]
] | new_dataset | 0.996766 |
2310.03148 | Phanideep Gampa | Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina | Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video
Recommendations | Recsys CARS 2023 Workshop paper | null | null | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Various data imbalances that naturally arise in a multi-territory
personalized recommender system can lead to a significant item bias for
globally prevalent items. A locally popular item can be overshadowed by a
globally prevalent item. Moreover, users' viewership patterns/statistics can
drastically change from one g... | [
{
"version": "v1",
"created": "Mon, 25 Sep 2023 00:11:33 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Gampa",
"Phanideep",
""
],
[
"Javadi",
"Farnoosh",
""
],
[
"Bayar",
"Belhassen",
""
],
[
"Yessenalina",
"Ainur",
""
]
] | not_new_dataset | 0.997316 |
2310.03149 | Davis Brown | Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan Tu, Henry
Kvinge, Davis Brown | Attributing Learned Concepts in Neural Networks to Training Data | null | null | null | null | cs.LG cs.AI cs.CV | http://creativecommons.org/licenses/by/4.0/ | By now there is substantial evidence that deep learning models learn certain
human-interpretable features as part of their internal representations of data.
As having the right (or wrong) concepts is critical to trustworthy machine
learning systems, it is natural to ask which inputs from the model's original
training... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 20:26:59 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Konz",
"Nicholas",
""
],
[
"Godfrey",
"Charles",
""
],
[
"Shapiro",
"Madelyn",
""
],
[
"Tu",
"Jonathan",
""
],
[
"Kvinge",
"Henry",
""
],
[
"Brown",
"Davis",
""
]
] | not_new_dataset | 0.997322 |
2310.03150 | Herbert Woisetschl\"ager | Herbert Woisetschl\"ager, Alexander Isenko, Shiqiang Wang, Ruben
Mayer, Hans-Arno Jacobsen | Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the
Ugly | 6 pages, 3 figures | null | null | null | cs.LG cs.DC cs.PF | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Large Language Models (LLM) and foundation models are popular as they offer
new opportunities for individuals and businesses to improve natural language
processing, interact with data, and retrieve information faster. However,
training or fine-tuning LLMs requires a vast amount of data, which can be
challenging to ac... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 20:27:20 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Woisetschläger",
"Herbert",
""
],
[
"Isenko",
"Alexander",
""
],
[
"Wang",
"Shiqiang",
""
],
[
"Mayer",
"Ruben",
""
],
[
"Jacobsen",
"Hans-Arno",
""
]
] | not_new_dataset | 0.997422 |
2310.03152 | Zihao Wang | Zihao Wang, Yongqiang Chen, Yang Duan, Weijiang Li, Bo Han, James
Cheng, Hanghang Tong | Towards out-of-distribution generalizable predictions of chemical
kinetics properties | Work in progress. 11 pages, 1 figure, and 5 tables | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine Learning (ML) techniques have found applications in estimating
chemical kinetics properties. With the accumulated drug molecules identified
through "AI4drug discovery", the next imperative lies in AI-driven design for
high-throughput chemical synthesis processes, with the estimation of properties
of unseen re... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 20:36:41 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Wang",
"Zihao",
""
],
[
"Chen",
"Yongqiang",
""
],
[
"Duan",
"Yang",
""
],
[
"Li",
"Weijiang",
""
],
[
"Han",
"Bo",
""
],
[
"Cheng",
"James",
""
],
[
"Tong",
"Hanghang",
""
]
] | not_new_dataset | 0.997345 |
2310.03156 | Ziyao Wang | Ziyao Wang, Jianyu Wang, Ang Li | FedHyper: A Universal and Robust Learning Rate Scheduler for Federated
Learning with Hypergradient Descent | null | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The theoretical landscape of federated learning (FL) undergoes rapid
evolution, but its practical application encounters a series of intricate
challenges, and hyperparameter optimization is one of these critical
challenges. Amongst the diverse adjustments in hyperparameters, the adaptation
of the learning rate emerge... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 20:51:52 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Wang",
"Ziyao",
""
],
[
"Wang",
"Jianyu",
""
],
[
"Li",
"Ang",
""
]
] | not_new_dataset | 0.996782 |
2310.03158 | Jiri Navratil | Jiri Navratil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna
Sattigeri | Assessment of Prediction Intervals Using Uncertainty Characteristics
Curves | Published at Workshop on Distribution-Free Uncertainty
Quantification, International Conference on Machine Learning (ICML), July
2022. arXiv admin note: substantial text overlap with arXiv:2106.00858 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Accurate quantification of model uncertainty has long been recognized as a
fundamental requirement for trusted AI. In regression tasks, uncertainty is
typically quantified using prediction intervals calibrated to an ad-hoc
operating point, making evaluation and comparison across different studies
relatively difficult... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 20:54:08 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Navratil",
"Jiri",
""
],
[
"Elder",
"Benjamin",
""
],
[
"Arnold",
"Matthew",
""
],
[
"Ghosh",
"Soumya",
""
],
[
"Sattigeri",
"Prasanna",
""
]
] | not_new_dataset | 0.997466 |
2310.03159 | Dimitri Bertsekas | Dimitri Bertsekas | New Auction Algorithms for the Assignment Problem and Extensions | null | null | null | null | cs.GT | http://creativecommons.org/licenses/by/4.0/ | We consider the classical linear assignment problem, and we introduce new
auction algorithms for its optimal and suboptimal solution. The algorithms are
founded on duality theory, and are related to ideas of competitive bidding by
persons for objects and the attendant market equilibrium, which underlie
real-life auct... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 20:54:41 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Bertsekas",
"Dimitri",
""
]
] | not_new_dataset | 0.997415 |
2310.03161 | Victor George | Victor Vadakechirayath George | Neural architecture impact on identifying temporally extended
Reinforcement Learning tasks | Master's thesis at Albert-Ludwigs-University, Freiburg Faculty of
Engineering, Department of Computer Science Chair for Machine Learning.
Advisor: Raghu Rajan, Examiners: Prof. Dr. Frank Hutter, Prof. Dr. Thomas
Brox | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Inspired by recent developments in attention models for image classification
and natural language processing, we present various Attention based
architectures in reinforcement learning (RL) domain, capable of performing well
on OpenAI Gym Atari-2600 game suite. In spite of the recent success of Deep
Reinforcement lea... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:09:19 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"George",
"Victor Vadakechirayath",
""
]
] | not_new_dataset | 0.9972 |
2310.03162 | Hui Zhong | Hui Zhong, Chenpei Huang, Xinyue Zhang, Miao Pan | Metaverse CAN: Embracing Continuous, Active, and Non-intrusive Biometric
Authentication | 6 pages, 3 figures | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Metaverse is a virtual world, an immersive experience, a new
human-computer interaction, built upon various advanced technologies. How to
protect Metaverse personal information and virtual properties is also facing
new challenges, such as new attacks and new expectations of user experiences.
While traditional met... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:09:33 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Zhong",
"Hui",
""
],
[
"Huang",
"Chenpei",
""
],
[
"Zhang",
"Xinyue",
""
],
[
"Pan",
"Miao",
""
]
] | not_new_dataset | 0.997382 |
2310.03163 | Junbo Li | Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang | FedNAR: Federated Optimization with Normalized Annealing Regularization | Thirty-seventh Conference on Neural Information Processing Systems | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Weight decay is a standard technique to improve generalization performance in
modern deep neural network optimization, and is also widely adopted in
federated learning (FL) to prevent overfitting in local clients. In this paper,
we first explore the choices of weight decay and identify that weight decay
value appreci... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:11:40 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Li",
"Junbo",
""
],
[
"Li",
"Ang",
""
],
[
"Tian",
"Chong",
""
],
[
"Ho",
"Qirong",
""
],
[
"Xing",
"Eric P.",
""
],
[
"Wang",
"Hongyi",
""
]
] | not_new_dataset | 0.98839 |
2310.03165 | Yitzchak Shmalo | Leonid Berlyand, Etienne Sandier, Yitzchak Shmalo, Lei Zhang | Enhancing Accuracy in Deep Learning Using Random Matrix Theory | null | null | null | null | cs.LG math.OC | http://creativecommons.org/licenses/by/4.0/ | In this study, we explore the applications of random matrix theory (RMT) in
the training of deep neural networks (DNNs), focusing on layer pruning to
simplify DNN architecture and loss landscape. RMT, recently used to address
overfitting in deep learning, enables the examination of DNN's weight layer
spectra. We use ... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:17:31 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Berlyand",
"Leonid",
""
],
[
"Sandier",
"Etienne",
""
],
[
"Shmalo",
"Yitzchak",
""
],
[
"Zhang",
"Lei",
""
]
] | not_new_dataset | 0.997497 |
2310.03166 | Biagio Montaruli | Biagio Montaruli, Luca Demetrio, Maura Pintor, Luca Compagna, Davide
Balzarotti, Battista Biggio | Raze to the Ground: Query-Efficient Adversarial HTML Attacks on
Machine-Learning Phishing Webpage Detectors | Proceedings of the 16th ACM Workshop on Artificial Intelligence and
Security (AISec '23), November 30, 2023, Copenhagen, Denmark | null | 10.1145/3605764.3623920 | null | cs.CR cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Machine-learning phishing webpage detectors (ML-PWD) have been shown to
suffer from adversarial manipulations of the HTML code of the input webpage.
Nevertheless, the attacks recently proposed have demonstrated limited
effectiveness due to their lack of optimizing the usage of the adopted
manipulations, and they focu... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:20:44 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Montaruli",
"Biagio",
""
],
[
"Demetrio",
"Luca",
""
],
[
"Pintor",
"Maura",
""
],
[
"Compagna",
"Luca",
""
],
[
"Balzarotti",
"Davide",
""
],
[
"Biggio",
"Battista",
""
]
] | not_new_dataset | 0.997361 |
2310.03171 | Shagun Jhaver | Alyvia Walters and Tawfiq Ammari and Kiran Garimella and Shagun Jhaver | Online Knowledge Production in Polarized Political Memes: The Case of
Critical Race Theory | null | null | null | null | cs.HC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Visual culture has long been deployed by actors across the political spectrum
as tools of political mobilization, and have recently incorporated new
communication tools, such as memes, GIFs, and emojis. In this study, we analyze
the top-circulated Facebook memes relating to critical race theory (CRT) from
May 2021 - ... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:33:56 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Walters",
"Alyvia",
""
],
[
"Ammari",
"Tawfiq",
""
],
[
"Garimella",
"Kiran",
""
],
[
"Jhaver",
"Shagun",
""
]
] | not_new_dataset | 0.997302 |
2310.03172 | Darren Chiu | Darren Chiu, Radhika Nagpal, Bahar Haghighat | Optimization and Evaluation of Multi Robot Surface Inspection Through
Particle Swarm Optimization | 6 pages, 8 figures | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Robot swarms can be tasked with a variety of automated sensing and inspection
applications in aerial, aquatic, and surface environments. In this paper, we
study a simplified two-outcome surface inspection task. We task a group of
robots to inspect and collectively classify a 2D surface section based on a
binary patte... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:35:00 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Chiu",
"Darren",
""
],
[
"Nagpal",
"Radhika",
""
],
[
"Haghighat",
"Bahar",
""
]
] | not_new_dataset | 0.997323 |
2310.03173 | Zishun Yu | Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang | $\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program
Synthesis | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Program synthesis aims to create accurate, executable code from natural
language descriptions. This field has leveraged the power of reinforcement
learning (RL) in conjunction with large language models (LLMs), significantly
enhancing code generation capabilities. This integration focuses on directly
optimizing funct... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:40:36 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Yu",
"Zishun",
""
],
[
"Tao",
"Yunzhe",
""
],
[
"Chen",
"Liyu",
""
],
[
"Sun",
"Tao",
""
],
[
"Yang",
"Hongxia",
""
]
] | not_new_dataset | 0.997308 |
2310.03174 | Mosab Rezaei | Mosab Rezaei, Hamed Alhoori, Mona Rahimi | Test Case Recommendations with Distributed Representation of Code
Syntactic Features | 8 pages, 4 figures, 14th Workshop on Automating Test Case Design,
Selection and Evaluation (A-TEST 2023) co-located with 38th IEEE/ACM
International Conference on ASE 2023 conference | null | null | null | cs.LG cs.SE | http://creativecommons.org/licenses/by/4.0/ | Frequent modifications of unit test cases are inevitable due to software's
continuous underlying changes in source code, design, and requirements. Since
manually maintaining software test suites is tedious, timely, and costly,
automating the process of generation and maintenance of test units will
significantly impac... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:42:01 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Rezaei",
"Mosab",
""
],
[
"Alhoori",
"Hamed",
""
],
[
"Rahimi",
"Mona",
""
]
] | not_new_dataset | 0.997471 |
2310.03175 | Md Sadik Awal | Md Sadik Awal, Md Tauhidur Rahman | Impedance Leakage Vulnerability and its Utilization in
Reverse-engineering Embedded Software | null | null | null | null | cs.CR cs.IR eess.SP | http://creativecommons.org/licenses/by-sa/4.0/ | Discovering new vulnerabilities and implementing security and privacy
measures are important to protect systems and data against physical attacks.
One such vulnerability is impedance, an inherent property of a device that can
be exploited to leak information through an unintended side channel, thereby
posing signific... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:43:16 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Awal",
"Md Sadik",
""
],
[
"Rahman",
"Md Tauhidur",
""
]
] | not_new_dataset | 0.997374 |
2310.03178 | Liangqi Yuan | Liangqi Yuan and Ziran Wang and Christopher G. Brinton | Digital Ethics in Federated Learning | null | null | null | null | cs.LG cs.CY cs.DC cs.GT | http://creativecommons.org/licenses/by/4.0/ | The Internet of Things (IoT) consistently generates vast amounts of data,
sparking increasing concern over the protection of data privacy and the
limitation of data misuse. Federated learning (FL) facilitates collaborative
capabilities among multiple parties by sharing machine learning (ML) model
parameters instead o... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:48:35 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Yuan",
"Liangqi",
""
],
[
"Wang",
"Ziran",
""
],
[
"Brinton",
"Christopher G.",
""
]
] | not_new_dataset | 0.997486 |
2310.03179 | Min Dai | Min Dai, Jaemin Lee and Aaron D. Ames | Multi-Domain Walking with Reduced-Order Models of Locomotion | submitted to ACC 2024 | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Drawing inspiration from human multi-domain walking, this work presents a
novel reduced-order model based framework for realizing multi-domain robotic
walking. At the core of our approach is the viewpoint that human walking can be
represented by a hybrid dynamical system, with continuous phases that are
fully-actuate... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:48:35 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Dai",
"Min",
""
],
[
"Lee",
"Jaemin",
""
],
[
"Ames",
"Aaron D.",
""
]
] | not_new_dataset | 0.997238 |
2310.03182 | An Yan | An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang,
Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian McAuley | Robust and Interpretable Medical Image Classifiers via Concept
Bottleneck Models | 18 pages, 12 figures | null | null | null | cs.CV cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Medical image classification is a critical problem for healthcare, with the
potential to alleviate the workload of doctors and facilitate diagnoses of
patients. However, two challenges arise when deploying deep learning models to
real-world healthcare applications. First, neural models tend to learn spurious
correlat... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 21:57:09 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Yan",
"An",
""
],
[
"Wang",
"Yu",
""
],
[
"Zhong",
"Yiwu",
""
],
[
"He",
"Zexue",
""
],
[
"Karypis",
"Petros",
""
],
[
"Wang",
"Zihan",
""
],
[
"Dong",
"Chengyu",
""
],
[
"Gentili",
"Amilcare",... | not_new_dataset | 0.997471 |
2310.03184 | Zachary Levonian | Zachary Levonian, Chenglu Li, Wangda Zhu, Anoushka Gade, Owen Henkel,
Millie-Ellen Postle, Wanli Xing | Retrieval-augmented Generation to Improve Math Question-Answering:
Trade-offs Between Groundedness and Human Preference | 6 pages | null | null | null | cs.CL cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For middle-school math students, interactive question-answering (QA) with
tutors is an effective way to learn. The flexibility and emergent capabilities
of generative large language models (LLMs) has led to a surge of interest in
automating portions of the tutoring process - including interactive QA to
support concep... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 22:09:28 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Levonian",
"Zachary",
""
],
[
"Li",
"Chenglu",
""
],
[
"Zhu",
"Wangda",
""
],
[
"Gade",
"Anoushka",
""
],
[
"Henkel",
"Owen",
""
],
[
"Postle",
"Millie-Ellen",
""
],
[
"Xing",
"Wanli",
""
]
] | not_new_dataset | 0.997327 |
2310.03185 | Xiaohan Fu | Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar
Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes | Misusing Tools in Large Language Models With Visual Adversarial Examples | null | null | null | null | cs.CR cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Large Language Models (LLMs) are being enhanced with the ability to use tools
and to process multiple modalities. These new capabilities bring new benefits
and also new security risks. In this work, we show that an attacker can use
visual adversarial examples to cause attacker-desired tool usage. For example,
the att... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 22:10:01 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Fu",
"Xiaohan",
""
],
[
"Wang",
"Zihan",
""
],
[
"Li",
"Shuheng",
""
],
[
"Gupta",
"Rajesh K.",
""
],
[
"Mireshghallah",
"Niloofar",
""
],
[
"Berg-Kirkpatrick",
"Taylor",
""
],
[
"Fernandes",
"Earlence",
"... | not_new_dataset | 0.997438 |
2310.03188 | Zhe Zhao | Zhe Zhao, Qingyun Liu, Huan Gui, Bang An, Lichan Hong, Ed H. Chi | Talking Models: Distill Pre-trained Knowledge to Downstream Models via
Interactive Communication | 19 pages, 3 figures | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Many recent breakthroughs in machine learning have been enabled by the
pre-trained foundation models. By scaling up model parameters, training data,
and computation resources, foundation models have significantly advanced the
state-of-the-art in many applications. However, it is still an open question of
how to use t... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 22:22:21 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Zhao",
"Zhe",
""
],
[
"Liu",
"Qingyun",
""
],
[
"Gui",
"Huan",
""
],
[
"An",
"Bang",
""
],
[
"Hong",
"Lichan",
""
],
[
"Chi",
"Ed H.",
""
]
] | not_new_dataset | 0.997222 |
2310.03191 | Jeremy Dao | Jeremy Dao, Helei Duan, Alan Fern | Sim-to-Real Learning for Humanoid Box Loco-Manipulation | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we propose a learning-based approach to box loco-manipulation
for a humanoid robot. This is a particularly challenging problem due to the
need for whole-body coordination in order to lift boxes of varying weight,
position, and orientation while maintaining balance. To address this challenge,
we present a... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 22:32:35 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Dao",
"Jeremy",
""
],
[
"Duan",
"Helei",
""
],
[
"Fern",
"Alan",
""
]
] | not_new_dataset | 0.997246 |
2310.03192 | Rania Abdelghani | Rania Abdelghani, H\'el\`ene Sauz\'eon and Pierre-Yves Oudeyer | Generative AI in the Classroom: Can Students Remain Active Learners? | null | null | null | null | cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Generative Artificial Intelligence (GAI) has high potential to help address a
diversity of educational challenges. In principle, GAI could facilitate the
implementation of interactive and empowering pedagogical activities to
complement the standard teaching strategies and favor students active
engagement, understandi... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 22:33:46 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Abdelghani",
"Rania",
""
],
[
"Sauzéon",
"Hélène",
""
],
[
"Oudeyer",
"Pierre-Yves",
""
]
] | not_new_dataset | 0.997504 |
2310.03193 | Hancheng Cao | Hancheng Cao, Jesse Dodge, Kyle Lo, Daniel A. McFarland, Lucy Lu Wang | The Rise of Open Science: Tracking the Evolution and Perceived Value of
Data and Methods Link-Sharing Practices | null | null | null | null | cs.DL cs.CL cs.CY physics.hist-ph physics.soc-ph | http://creativecommons.org/licenses/by/4.0/ | In recent years, funding agencies and journals increasingly advocate for open
science practices (e.g. data and method sharing) to improve the transparency,
access, and reproducibility of science. However, quantifying these practices at
scale has proven difficult. In this work, we leverage a large-scale dataset of
1.1... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 22:34:56 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Cao",
"Hancheng",
""
],
[
"Dodge",
"Jesse",
""
],
[
"Lo",
"Kyle",
""
],
[
"McFarland",
"Daniel A.",
""
],
[
"Wang",
"Lucy Lu",
""
]
] | not_new_dataset | 0.996623 |
2310.03195 | Todd Charter | Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, Masoud Jalayer, Maryam
Ahang, Ardeshir Shojaeinasab, Homayoun Najjaran | Deep reinforcement learning for machine scheduling: Methodology, the
state-of-the-art, and future directions | null | null | null | null | cs.LG cs.AI cs.NE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Machine scheduling aims to optimize job assignments to machines while
adhering to manufacturing rules and job specifications. This optimization leads
to reduced operational costs, improved customer demand fulfillment, and
enhanced production efficiency. However, machine scheduling remains a
challenging combinatorial ... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 22:45:09 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Khadivi",
"Maziyar",
""
],
[
"Charter",
"Todd",
""
],
[
"Yaghoubi",
"Marjan",
""
],
[
"Jalayer",
"Masoud",
""
],
[
"Ahang",
"Maryam",
""
],
[
"Shojaeinasab",
"Ardeshir",
""
],
[
"Najjaran",
"Homayoun",
""
... | not_new_dataset | 0.99749 |
2310.03200 | Jongwook Woo Prof | Hsiu-Ping Lin, Suman Chauhan, Yougender Chauhan, Nagender Chauhan,
Jongwook Woo | Amazon Books Rating prediction & Recommendation Model | 5 pages, 4 figures, 8 tables | null | null | null | cs.IR cs.DC | http://creativecommons.org/licenses/by/4.0/ | This paper uses the dataset of Amazon to predict the books ratings listed on
Amazon website. As part of this project, we predicted the ratings of the books,
and also built a recommendation cluster. This recommendation cluster provides
the recommended books based on the column's values from dataset, for instance,
cate... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 22:59:13 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Lin",
"Hsiu-Ping",
""
],
[
"Chauhan",
"Suman",
""
],
[
"Chauhan",
"Yougender",
""
],
[
"Chauhan",
"Nagender",
""
],
[
"Woo",
"Jongwook",
""
]
] | not_new_dataset | 0.997197 |
2310.03202 | Qifan Zhang | Qifan Zhang, Xuesong Bai, Xiang Li, Haixin Duan, Qi Li and Zhou Li | ResolverFuzz: Automated Discovery of DNS Resolver Vulnerabilities with
Query-Response Fuzzing | Extended version. Accepted by USENIX Security 2024 | null | null | null | cs.CR cs.NI cs.SE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Domain Name System (DNS) is a critical component of the Internet. DNS
resolvers, which act as the cache between DNS clients and DNS nameservers, are
the central piece of the DNS infrastructure, essential to the scalability of
DNS. However, finding the resolver vulnerabilities is non-trivial, and this
problem is not w... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 23:17:32 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Zhang",
"Qifan",
""
],
[
"Bai",
"Xuesong",
""
],
[
"Li",
"Xiang",
""
],
[
"Duan",
"Haixin",
""
],
[
"Li",
"Qi",
""
],
[
"Li",
"Zhou",
""
]
] | not_new_dataset | 0.997339 |
2310.03205 | Kim Youwang | Kim Youwang and Lee Hyun and Kim Sung-Bin and Suekyeong Nam and
Janghoon Ju and Tae-Hyun Oh | A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized
Optimization | 9 pages, 7 figures, and 3 tables for the main paper. 8 pages, 6
figures and 3 tables for the appendix | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose NeuFace, a 3D face mesh pseudo annotation method on videos via
neural re-parameterized optimization. Despite the huge progress in 3D face
reconstruction methods, generating reliable 3D face labels for in-the-wild
dynamic videos remains challenging. Using NeuFace optimization, we annotate the
per-view/-fram... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 23:24:22 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Youwang",
"Kim",
""
],
[
"Hyun",
"Lee",
""
],
[
"Sung-Bin",
"Kim",
""
],
[
"Nam",
"Suekyeong",
""
],
[
"Ju",
"Janghoon",
""
],
[
"Oh",
"Tae-Hyun",
""
]
] | new_dataset | 0.99799 |
2310.03210 | Erfan Al-Hossami | Erfan Al-Hossami, Razvan Bunescu, Justin Smith, Ryan Teehan | Can Language Models Employ the Socratic Method? Experiments with Code
Debugging | 8 pages, 2 tables. To be published in Proceedings of the 2024
Technical Symposium on Computer Science Education (SIGCSE'24) | null | null | null | cs.CL cs.CY | http://creativecommons.org/licenses/by/4.0/ | When employing the Socratic method of teaching, instructors guide students
toward solving a problem on their own rather than providing the solution
directly. While this strategy can substantially improve learning outcomes, it
is usually time-consuming and cognitively demanding. Automated Socratic
conversational agent... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 23:32:33 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Al-Hossami",
"Erfan",
""
],
[
"Bunescu",
"Razvan",
""
],
[
"Smith",
"Justin",
""
],
[
"Teehan",
"Ryan",
""
]
] | new_dataset | 0.981184 |
2310.03211 | Utsav Garg | Utsav Garg, Erhan Bas | On the Performance of Multimodal Language Models | null | null | null | null | cs.CL cs.AI cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | Instruction-tuned large language models (LLMs) have demonstrated promising
zero-shot generalization capabilities across various downstream tasks. Recent
research has introduced multimodal capabilities to LLMs by integrating
independently pretrained vision encoders through model grafting. These
multimodal variants und... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 23:33:36 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Garg",
"Utsav",
""
],
[
"Bas",
"Erhan",
""
]
] | not_new_dataset | 0.997463 |
2310.03212 | Samaneh Javadinia | Samaneh Javadinia, Amirali Baniasadi | PDR-CapsNet: an Energy-Efficient Parallel Approach to Dynamic Routing in
Capsule Networks | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Convolutional Neural Networks (CNNs) have produced state-of-the-art results
for image classification tasks. However, they are limited in their ability to
handle rotational and viewpoint variations due to information loss in
max-pooling layers. Capsule Networks (CapsNets) employ a
computationally-expensive iterative p... | [
{
"version": "v1",
"created": "Wed, 4 Oct 2023 23:38:09 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Javadinia",
"Samaneh",
""
],
[
"Baniasadi",
"Amirali",
""
]
] | not_new_dataset | 0.99732 |
2310.03214 | Tu Vu | Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry Wei, Jason Wei,
Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc Le, Thang Luong | FreshLLMs: Refreshing Large Language Models with Search Engine
Augmentation | Preprint, 22 pages, 7 figures, 5 tables | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most large language models (LLMs) are trained once and never updated; thus,
they lack the ability to dynamically adapt to our ever-changing world. In this
work, we perform a detailed study of the factuality of LLM-generated text in
the context of answering questions that test current world knowledge.
Specifically, we... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 00:04:12 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Vu",
"Tu",
""
],
[
"Iyyer",
"Mohit",
""
],
[
"Wang",
"Xuezhi",
""
],
[
"Constant",
"Noah",
""
],
[
"Wei",
"Jerry",
""
],
[
"Wei",
"Jason",
""
],
[
"Tar",
"Chris",
""
],
[
"Sung",
"Yun-Hsuan",
... | new_dataset | 0.735618 |
2310.03217 | Robert Moss | Jean-Guillaume Durand, Arthur Dubois, Robert J. Moss | Formal and Practical Elements for the Certification of Machine Learning
Systems | Best of Conference at the 2023 Digital Avionics Systems Conference
(DASC) | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Over the past decade, machine learning has demonstrated impressive results,
often surpassing human capabilities in sensing tasks relevant to autonomous
flight. Unlike traditional aerospace software, the parameters of machine
learning models are not hand-coded nor derived from physics but learned from
data. They are a... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 00:20:59 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Durand",
"Jean-Guillaume",
""
],
[
"Dubois",
"Arthur",
""
],
[
"Moss",
"Robert J.",
""
]
] | not_new_dataset | 0.997407 |
2310.03218 | Peiyu Yu | Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun
Zhu, Ying Nian Wu | Learning Energy-Based Prior Model with Diffusion-Amortized MCMC | NeurIPS 2023 | null | null | null | cs.LG cs.AI stat.ML | http://creativecommons.org/licenses/by-sa/4.0/ | Latent space Energy-Based Models (EBMs), also known as energy-based priors,
have drawn growing interests in the field of generative modeling due to its
flexibility in the formulation and strong modeling power of the latent space.
However, the common practice of learning latent space EBMs with non-convergent
short-run... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 00:23:34 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Yu",
"Peiyu",
""
],
[
"Zhu",
"Yaxuan",
""
],
[
"Xie",
"Sirui",
""
],
[
"Ma",
"Xiaojian",
""
],
[
"Gao",
"Ruiqi",
""
],
[
"Zhu",
"Song-Chun",
""
],
[
"Wu",
"Ying Nian",
""
]
] | not_new_dataset | 0.997477 |
2310.03221 | Yijia Xiao | Yijia Xiao, Dylan Steinecke, Alexander Russell Pelletier, Yushi Bai,
Peipei Ping, Wei Wang | Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical
Knowledge Graphs | 26 pages, 2 figures, 14 figures | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge graphs (KGs) have emerged as a powerful framework for representing
and integrating complex biomedical information. However, assembling KGs from
diverse sources remains a significant challenge in several aspects, including
entity alignment, scalability, and the need for continuous updates to keep pace
with s... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 00:34:56 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Xiao",
"Yijia",
""
],
[
"Steinecke",
"Dylan",
""
],
[
"Pelletier",
"Alexander Russell",
""
],
[
"Bai",
"Yushi",
""
],
[
"Ping",
"Peipei",
""
],
[
"Wang",
"Wei",
""
]
] | new_dataset | 0.997773 |
2310.03222 | Alan Frieze | Alan Frieze, Wesley Pegden | The bright side of simple heuristics for the TSP | null | null | null | null | cs.DM cs.CG math.CO | http://creativecommons.org/licenses/by/4.0/ | The greedy and nearest-neighbor TSP heuristics can both have $\log n$
approximation factors from optimal in worst case, even just for $n$ points in
Euclidean space. In this note, we show that this approximation factor is only
realized when the optimal tour is unusually short. In particular, for points
from any fixed ... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 00:44:18 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Frieze",
"Alan",
""
],
[
"Pegden",
"Wesley",
""
]
] | not_new_dataset | 0.997054 |
2310.03223 | Tongzhou Shen | Tony Shen, Mohit Pandey and Martin Ester | TacoGFN: Target Conditioned GFlowNet for Structure-Based Drug Design | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We seek to automate the generation of drug-like compounds conditioned to
specific protein pocket targets. Most current methods approximate the
protein-molecule distribution of a finite dataset and, therefore struggle to
generate molecules with significant binding improvement over the training
dataset. We instead fram... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 00:45:04 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Shen",
"Tony",
""
],
[
"Pandey",
"Mohit",
""
],
[
"Ester",
"Martin",
""
]
] | not_new_dataset | 0.997149 |
2310.03224 | Arian Eamaz | Arian Eamaz, Farhang Yeganegi, and Mojtaba Soltanalian | Matrix Completion from One-Bit Dither Samples | null | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | We explore the impact of coarse quantization on matrix completion in the
extreme scenario of dithered one-bit sensing, where the matrix entries are
compared with time-varying threshold levels. In particular, instead of
observing a subset of high-resolution entries of a low-rank matrix, we have
access to a small numbe... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 00:46:25 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Eamaz",
"Arian",
""
],
[
"Yeganegi",
"Farhang",
""
],
[
"Soltanalian",
"Mojtaba",
""
]
] | not_new_dataset | 0.997441 |
2310.03225 | Akifumi Wachi | Akifumi Wachi, Wataru Hashimoto, Xun Shen, Kazumune Hashimoto | Safe Exploration in Reinforcement Learning: A Generalized Formulation
and Algorithms | Accepted to NeurIPS 2023 | null | null | null | cs.LG cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Safe exploration is essential for the practical use of reinforcement learning
(RL) in many real-world scenarios. In this paper, we present a generalized safe
exploration (GSE) problem as a unified formulation of common safe exploration
problems. We then propose a solution of the GSE problem in the form of a
meta-algo... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 00:47:09 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Wachi",
"Akifumi",
""
],
[
"Hashimoto",
"Wataru",
""
],
[
"Shen",
"Xun",
""
],
[
"Hashimoto",
"Kazumune",
""
]
] | not_new_dataset | 0.997418 |
2310.03228 | Su Jiang | Su Jiang, Louis J. Durlofsky | History Matching for Geological Carbon Storage using Data-Space
Inversion with Spatio-Temporal Data Parameterization | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | History matching based on monitoring data will enable uncertainty reduction,
and thus improved aquifer management, in industrial-scale carbon storage
operations. In traditional model-based data assimilation, geomodel parameters
are modified to force agreement between flow simulation results and
observations. In data-... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 00:50:06 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Jiang",
"Su",
""
],
[
"Durlofsky",
"Louis J.",
""
]
] | not_new_dataset | 0.99727 |
2310.03232 | Xinyang Ren | Xinyang Ren, Hannah A Burkhardt, Patricia A Are\'an, Thomas D Hull,
Trevor Cohen | Deep Representations of First-person Pronouns for Prediction of
Depression Symptom Severity | Accepted: AMIA Annual Symposium 2023. To appear as: Ren X, Burkhardt
H, Are\'an P, Hull T, Cohen T. Deep Representations of First-person Pronouns
for Prediction of Depression Symptom Severity. AMIA Annual Symposium
Proceedings 2023. American Medical Informatics Association | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Prior work has shown that analyzing the use of first-person singular pronouns
can provide insight into individuals' mental status, especially depression
symptom severity. These findings were generated by counting frequencies of
first-person singular pronouns in text data. However, counting doesn't capture
how these p... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 00:55:46 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Ren",
"Xinyang",
""
],
[
"Burkhardt",
"Hannah A",
""
],
[
"Areán",
"Patricia A",
""
],
[
"Hull",
"Thomas D",
""
],
[
"Cohen",
"Trevor",
""
]
] | not_new_dataset | 0.997314 |
2310.03237 | Hayyu Imanda | Hayyu Imanda and Kasper Rasmussen | Ask for Alice: Online Covert Distress Signal in the Presence of a Strong
Adversary | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we propose a protocol that can be used to covertly send a
distress signal through a seemingly normal webserver, even if the adversary is
monitoring both the network and the user's device. This allows a user to call
for help even when they are in the same physical space as their adversaries. We
model suc... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 01:07:06 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Imanda",
"Hayyu",
""
],
[
"Rasmussen",
"Kasper",
""
]
] | not_new_dataset | 0.99727 |
2310.03239 | Aravind Sivaramakrishnan | Aravind Sivaramakrishnan, Noah R. Carver, Sumanth Tangirala, Kostas E.
Bekris | Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning
under Dynamics | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper aims to improve the computational efficiency of motion planning
for mobile robots with non-trivial dynamics by taking advantage of learned
controllers. It adopts a decoupled strategy, where a system-specific controller
is first trained offline in an empty environment to deal with the system's
dynamics. For... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 01:21:33 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Sivaramakrishnan",
"Aravind",
""
],
[
"Carver",
"Noah R.",
""
],
[
"Tangirala",
"Sumanth",
""
],
[
"Bekris",
"Kostas E.",
""
]
] | not_new_dataset | 0.997332 |
2310.03240 | Awni Altabaa | Awni Altabaa, John Lafferty | Relational Convolutional Networks: A framework for learning
representations of hierarchical relations | 18 pages, 7 figures, 4 tables | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | A maturing area of research in deep learning is the development of
architectures that can learn explicit representations of relational features.
In this paper, we focus on the problem of learning representations of
hierarchical relations, proposing an architectural framework we call
"relational convolutional networks... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 01:22:50 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Altabaa",
"Awni",
""
],
[
"Lafferty",
"John",
""
]
] | not_new_dataset | 0.997449 |
2310.03246 | Aravind Sivaramakrishnan | Ewerton R. Vieira, Aravind Sivaramakrishnan, Sumanth Tangirala, Edgar
Granados, Konstantin Mischaikow, Kostas E. Bekris | ${\tt MORALS}$: Analysis of High-Dimensional Robot Controllers via
Topological Tools in a Latent Space | The first two authors contributed equally to this paper | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Estimating the region of attraction (${\tt RoA}$) for a robotic system's
controller is essential for safe application and controller composition. Many
existing methods require access to a closed-form expression that limit
applicability to data-driven controllers. Methods that operate only over
trajectory rollouts ten... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 01:31:45 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Vieira",
"Ewerton R.",
""
],
[
"Sivaramakrishnan",
"Aravind",
""
],
[
"Tangirala",
"Sumanth",
""
],
[
"Granados",
"Edgar",
""
],
[
"Mischaikow",
"Konstantin",
""
],
[
"Bekris",
"Kostas E.",
""
]
] | not_new_dataset | 0.99743 |
2310.03248 | Siavash Hosseini | Siavash Hosseini | Xcrum: A Synergistic Approach Integrating Extreme Programming with Scrum | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In today's modern world, software plays a pivotal role. Software development
is a highly complex and time-consuming process, demanding multidimensional
efforts. Companies continually adapt their requirements to align with the
evolving environment, with a specific emphasis on rapid delivery and the
acceptance of chang... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 01:39:10 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Hosseini",
"Siavash",
""
]
] | not_new_dataset | 0.997476 |
2310.03249 | Mohamed Aghzal | Mohamed Aghzal, Erion Plaku, Ziyu Yao | Can Large Language Models be Good Path Planners? A Benchmark and
Investigation on Spatial-temporal Reasoning | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have achieved remarkable success across a wide
spectrum of tasks; however, they still face limitations in scenarios that
demand long-term planning and spatial reasoning. To facilitate this line of
research, in this work, we propose a new benchmark, termed $\textbf{P}$ath
$\textbf{P}$lanni... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 01:42:16 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Aghzal",
"Mohamed",
""
],
[
"Plaku",
"Erion",
""
],
[
"Yao",
"Ziyu",
""
]
] | new_dataset | 0.949306 |
2310.03251 | Sumit Bam Shrestha | Sumit Bam Shrestha, Jonathan Timcheck, Paxon Frady, Leobardo
Campos-Macias, Mike Davies | Efficient Video and Audio processing with Loihi 2 | 5 pages, 3 figures | null | null | null | cs.NE cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Loihi 2 is an asynchronous, brain-inspired research processor that
generalizes several fundamental elements of neuromorphic architecture, such as
stateful neuron models communicating with event-driven spikes, in order to
address limitations of the first generation Loihi. Here we explore and
characterize some of these... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 01:56:03 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Shrestha",
"Sumit Bam",
""
],
[
"Timcheck",
"Jonathan",
""
],
[
"Frady",
"Paxon",
""
],
[
"Campos-Macias",
"Leobardo",
""
],
[
"Davies",
"Mike",
""
]
] | not_new_dataset | 0.997393 |
2310.03252 | Edgar Pacheco Dr | Edgar Pacheco | Exploring age-related patterns in internet access: Insights from a
secondary analysis of New Zealand survey data | 15 pages, 5 tables | null | null | null | cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | For over two decades Internet access has been a topic of research and debate.
Up-to-date evidence about key predictors such as age is important considering
not only the complexities of access to the online medium but also the
ever-changing nature of the Internet. This paper attempts to provide a
stocktake of current ... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 02:03:28 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Pacheco",
"Edgar",
""
]
] | not_new_dataset | 0.997425 |
2310.03253 | Kong Deqian | Deqian Kong, Yuhao Huang, Jianwen Xie, Ying Nian Wu | Molecule Design by Latent Prompt Transformer | null | null | null | null | cs.LG q-bio.BM stat.ML | http://creativecommons.org/licenses/by/4.0/ | This paper proposes a latent prompt Transformer model for solving challenging
optimization problems such as molecule design, where the goal is to find
molecules with optimal values of a target chemical or biological property that
can be computed by an existing software. Our proposed model consists of three
components... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 02:09:51 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Kong",
"Deqian",
""
],
[
"Huang",
"Yuhao",
""
],
[
"Xie",
"Jianwen",
""
],
[
"Wu",
"Ying Nian",
""
]
] | not_new_dataset | 0.997018 |
2310.03254 | Unchitta Kan | Unchitta Kan, Jericho McLeod, Eduardo L\'opez | Non-coresident family as a driver of migration change in a crisis: The
case of the COVID-19 pandemic | 19 pages, 3 figures | null | null | null | cs.SI physics.soc-ph | http://creativecommons.org/licenses/by-sa/4.0/ | Changes in U.S. migration trends during the COVID-19 pandemic show that many
moved to less populated cities from larger cities, deviating from previous
trends. In this study, building on prior work in the literature showing that
the abundance of family ties are inversely related to population size, we
analyze these m... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 02:11:25 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Kan",
"Unchitta",
""
],
[
"McLeod",
"Jericho",
""
],
[
"López",
"Eduardo",
""
]
] | not_new_dataset | 0.997415 |
2310.03256 | Abdelhak Bentaleb Dr | Abdelhak Bentaleb, May Lim, Mehmet N. Akcay, Ali C. Begen, Sarra
Hammoudi, Roger Zimmermann | Toward One-Second Latency: Evolution of Live Media Streaming | null | null | null | null | cs.NI cs.MM | http://creativecommons.org/licenses/by/4.0/ | This survey presents the evolution of live media streaming and the
technological developments behind today's IP-based low-latency live streaming
systems. Live streaming primarily involves capturing, encoding, packaging and
delivering real-time events such as live sports, live news, personal broadcasts
and surveillanc... | [
{
"version": "v1",
"created": "Thu, 5 Oct 2023 02:18:55 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Bentaleb",
"Abdelhak",
""
],
[
"Lim",
"May",
""
],
[
"Akcay",
"Mehmet N.",
""
],
[
"Begen",
"Ali C.",
""
],
[
"Hammoudi",
"Sarra",
""
],
[
"Zimmermann",
"Roger",
""
]
] | not_new_dataset | 0.997447 |
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