id
stringlengths
9
10
submitter
stringlengths
2
52
authors
stringlengths
4
6.51k
title
stringlengths
4
246
comments
stringlengths
1
523
journal-ref
stringlengths
4
345
doi
stringlengths
11
120
report-no
stringlengths
2
243
categories
stringlengths
5
98
license
stringclasses
9 values
abstract
stringlengths
33
3.33k
versions
list
update_date
timestamp[s]
authors_parsed
list
prediction
stringclasses
1 value
probability
float64
0.95
1
2103.04904
Laszlo Csirmaz
Laszlo Csirmaz, Franti\v{s}ek Mat\'u\v{s} and Carles Padr\'o
Bipartite secret sharing and staircases
To appear in Discrete Mathematics
null
null
null
cs.CR cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bipartite secret sharing schemes have a bipartite access structure in which the set of participants is divided into two parts and all participants in the same part play an equivalent role. Such a bipartite scheme can be described by a \emph{staircase}: the collection of its minimal points. The complexity of a scheme ...
[ { "version": "v1", "created": "Mon, 8 Mar 2021 17:09:43 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 14:19:21 GMT" } ]
2023-10-06T00:00:00
[ [ "Csirmaz", "Laszlo", "" ], [ "Matúš", "František", "" ], [ "Padró", "Carles", "" ] ]
new_dataset
0.98718
2211.11961
Arghya Chakraborty
Arghya Chakraborty, Rahul Vaze
Online facility location with timed-requests and congestion
32 pages, 6 figures
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
The classic online facility location problem deals with finding the optimal set of facilities in an online fashion when demand requests arrive one at a time and facilities need to be opened to service these requests. In this work, we study two variants of the online facility location problem; (1) weighted requests an...
[ { "version": "v1", "created": "Tue, 22 Nov 2022 02:50:51 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 15:49:18 GMT" } ]
2023-10-06T00:00:00
[ [ "Chakraborty", "Arghya", "" ], [ "Vaze", "Rahul", "" ] ]
new_dataset
0.994855
2212.00431
Violetta Weger
Markus Grassl, Anna-Lena Horlemann, Violetta Weger
The Subfield Metric and its Application to Quantum Error Correction
null
null
10.1142/S021949882550063X
null
cs.IT math.IT quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a new weight and corresponding metric over finite extension fields for asymmetric error correction. The weight distinguishes between elements from the base field and the ones outside of it, which is motivated by asymmetric quantum codes. We set up the theoretic framework for this weight and metric, inclu...
[ { "version": "v1", "created": "Thu, 1 Dec 2022 11:02:31 GMT" } ]
2023-10-06T00:00:00
[ [ "Grassl", "Markus", "" ], [ "Horlemann", "Anna-Lena", "" ], [ "Weger", "Violetta", "" ] ]
new_dataset
0.985599
2302.11791
Gyanendra Kumar Verma
Gyanendra K. Verma and R. K. Sharma
Additive complementary dual codes over $\mathbb{F}_{q^2}$
There has been major changes in this manuscript we will submit new one
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Shi et al. [Additive complementary dual codes over F4. Designs, Codes and Cryptography, 2022.] studied additive codes over the finite field F4 with respect to trace Hermitian and trace Euclidean inner products. In this article, we define additive codes of length n over finite field Fq2 as additive subgroups of Fn q2 ...
[ { "version": "v1", "created": "Thu, 23 Feb 2023 06:12:14 GMT" }, { "version": "v2", "created": "Sat, 6 May 2023 17:38:14 GMT" }, { "version": "v3", "created": "Thu, 5 Oct 2023 09:08:46 GMT" } ]
2023-10-06T00:00:00
[ [ "Verma", "Gyanendra K.", "" ], [ "Sharma", "R. K.", "" ] ]
new_dataset
0.985605
2303.01338
Amira Guesmi
Amira Guesmi, Muhammad Abdullah Hanif, and Muhammad Shafique
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems
null
null
null
null
cs.CV cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision-based perception modules are increasingly deployed in many applications, especially autonomous vehicles and intelligent robots. These modules are being used to acquire information about the surroundings and identify obstacles. Hence, accurate detection and classification are essential to reach appropriate deci...
[ { "version": "v1", "created": "Thu, 2 Mar 2023 15:14:46 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 11:55:37 GMT" } ]
2023-10-06T00:00:00
[ [ "Guesmi", "Amira", "" ], [ "Hanif", "Muhammad Abdullah", "" ], [ "Shafique", "Muhammad", "" ] ]
new_dataset
0.987071
2303.09234
Yining Jiao
Yining Jiao, Carlton Zdanski, Julia Kimbell, Andrew Prince, Cameron Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Dunn, Jisan Mahmud, Marc Niethammer
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
28 pages
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Deep implicit functions (DIFs) have emerged as a powerful paradigm for many computer vision tasks such as 3D shape reconstruction, generation, registration, completion, editing, and understanding. However, given a set of 3D shapes with associated covariates there is at present no shape representation method which all...
[ { "version": "v1", "created": "Thu, 16 Mar 2023 11:18:04 GMT" }, { "version": "v2", "created": "Sat, 18 Mar 2023 12:13:19 GMT" }, { "version": "v3", "created": "Tue, 28 Mar 2023 20:07:21 GMT" }, { "version": "v4", "created": "Thu, 5 Oct 2023 09:25:26 GMT" } ]
2023-10-06T00:00:00
[ [ "Jiao", "Yining", "" ], [ "Zdanski", "Carlton", "" ], [ "Kimbell", "Julia", "" ], [ "Prince", "Andrew", "" ], [ "Worden", "Cameron", "" ], [ "Kirse", "Samuel", "" ], [ "Rutter", "Christopher", "" ], [ ...
new_dataset
0.991346
2303.14655
Ji Qi
Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Yuxiao Dong, Bin Xu, Lei Hou, Juanzi Li, Jie Tang, Weidong Guo, Hui Liu, Yu Xu
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
Accepted by CIKM 2023
null
null
null
cs.CV cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the recent emergence of video captioning models, how to generate vivid, fine-grained video descriptions based on the background knowledge (i.e., long and informative commentary about the domain-specific scenes with appropriate reasoning) is still far from being solved, which however has great applications suc...
[ { "version": "v1", "created": "Sun, 26 Mar 2023 08:43:36 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 06:55:13 GMT" } ]
2023-10-06T00:00:00
[ [ "Qi", "Ji", "" ], [ "Yu", "Jifan", "" ], [ "Tu", "Teng", "" ], [ "Gao", "Kunyu", "" ], [ "Xu", "Yifan", "" ], [ "Guan", "Xinyu", "" ], [ "Wang", "Xiaozhi", "" ], [ "Dong", "Yuxiao", "" ], ...
new_dataset
0.988441
2303.15375
Yan Sun
Yan Sun, Yifan Yuan, Zeduo Yu, Reese Kuper, Chihun Song, Jinghan Huang, Houxiang Ji, Siddharth Agarwal, Jiaqi Lou, Ipoom Jeong, Ren Wang, Jung Ho Ahn, Tianyin Xu, Nam Sung Kim
Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices
This paper has been accepted by MICRO'23. Please refer to the https://doi.org/10.1145/3613424.3614256 for the official version of this paper
null
10.1145/3613424.3614256
null
cs.PF cs.AR
http://creativecommons.org/licenses/by/4.0/
The ever-growing demands for memory with larger capacity and higher bandwidth have driven recent innovations on memory expansion and disaggregation technologies based on Compute eXpress Link (CXL). Especially, CXL-based memory expansion technology has recently gained notable attention for its ability not only to econ...
[ { "version": "v1", "created": "Mon, 27 Mar 2023 16:51:26 GMT" }, { "version": "v2", "created": "Tue, 4 Apr 2023 04:25:32 GMT" }, { "version": "v3", "created": "Sun, 30 Jul 2023 22:40:13 GMT" }, { "version": "v4", "created": "Thu, 5 Oct 2023 03:58:56 GMT" } ]
2023-10-06T00:00:00
[ [ "Sun", "Yan", "" ], [ "Yuan", "Yifan", "" ], [ "Yu", "Zeduo", "" ], [ "Kuper", "Reese", "" ], [ "Song", "Chihun", "" ], [ "Huang", "Jinghan", "" ], [ "Ji", "Houxiang", "" ], [ "Agarwal", "Siddha...
new_dataset
0.950731
2304.03752
Jiaqi Wang
Jiaqi Wang, Pan Zhang, Tao Chu, Yuhang Cao, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, Dahua Lin
V3Det: Vast Vocabulary Visual Detection Dataset
ICCV 2023 Oral Camera Ready
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in detecting arbitrary objects in the real world are trained and evaluated on object detection datasets with a relatively restricted vocabulary. To facilitate the development of more general visual object detection, we propose V3Det, a vast vocabulary visual detection dataset with precisely annotated ...
[ { "version": "v1", "created": "Fri, 7 Apr 2023 17:45:35 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 12:18:14 GMT" } ]
2023-10-06T00:00:00
[ [ "Wang", "Jiaqi", "" ], [ "Zhang", "Pan", "" ], [ "Chu", "Tao", "" ], [ "Cao", "Yuhang", "" ], [ "Zhou", "Yujie", "" ], [ "Wu", "Tong", "" ], [ "Wang", "Bin", "" ], [ "He", "Conghui", "" ],...
new_dataset
0.999848
2304.04327
Jinyi Ye
Jinyi Ye, Nikhil Jindal, Francesco Pierri, Luca Luceri
Online Networks of Support in Distressed Environments: Solidarity and Mobilization during the Russian Invasion of Ukraine
Presented at ICWSM2023 Workshop "Data for the Wellbeing of Most Vulnerable"
Proceedings of the ICWSM Workshops 2023
10.36190/2023.05
null
cs.SI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Despite their drawbacks and unintended consequences, social media networks have recently emerged as a crucial resource for individuals in distress, particularly during times of crisis. These platforms serve as a means to seek assistance and support, share reliable information, and appeal for action and solidarity. In...
[ { "version": "v1", "created": "Sun, 9 Apr 2023 23:27:59 GMT" }, { "version": "v2", "created": "Mon, 15 May 2023 22:17:40 GMT" }, { "version": "v3", "created": "Wed, 4 Oct 2023 21:59:32 GMT" } ]
2023-10-06T00:00:00
[ [ "Ye", "Jinyi", "" ], [ "Jindal", "Nikhil", "" ], [ "Pierri", "Francesco", "" ], [ "Luceri", "Luca", "" ] ]
new_dataset
0.999546
2304.08247
Keno Bressem
Tianyu Han and Lisa C. Adams and Jens-Michalis Papaioannou and Paul Grundmann and Tom Oberhauser and Alexander L\"oser and Daniel Truhn and Keno K. Bressem
MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
As large language models (LLMs) like OpenAI's GPT series continue to make strides, we witness the emergence of artificial intelligence applications in an ever-expanding range of fields. In medicine, these LLMs hold considerable promise for improving medical workflows, diagnostics, patient care, and education. Yet, th...
[ { "version": "v1", "created": "Fri, 14 Apr 2023 11:28:08 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 23:28:00 GMT" } ]
2023-10-06T00:00:00
[ [ "Han", "Tianyu", "" ], [ "Adams", "Lisa C.", "" ], [ "Papaioannou", "Jens-Michalis", "" ], [ "Grundmann", "Paul", "" ], [ "Oberhauser", "Tom", "" ], [ "Löser", "Alexander", "" ], [ "Truhn", "Daniel", "" ]...
new_dataset
0.999632
2305.11779
Huitong Pan
Huitong Pan, Qi Zhang, Eduard Dragut, Cornelia Caragea, Longin Jan Latecki
DMDD: A Large-Scale Dataset for Dataset Mentions Detection
Pre-MIT Press publication version. Submitted to TACL
Transactions of the Association for Computational Linguistics. 11 (2023) 1132-1146
10.1162/tacl_a_00592
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
The recognition of dataset names is a critical task for automatic information extraction in scientific literature, enabling researchers to understand and identify research opportunities. However, existing corpora for dataset mention detection are limited in size and naming diversity. In this paper, we introduce the D...
[ { "version": "v1", "created": "Fri, 19 May 2023 16:18:00 GMT" } ]
2023-10-06T00:00:00
[ [ "Pan", "Huitong", "" ], [ "Zhang", "Qi", "" ], [ "Dragut", "Eduard", "" ], [ "Caragea", "Cornelia", "" ], [ "Latecki", "Longin Jan", "" ] ]
new_dataset
0.999761
2306.04018
Zifeng Wang
Zifeng Wang and Brandon Theodorou and Tianfan Fu and Cao Xiao and Jimeng Sun
PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications
null
null
null
null
cs.AI q-bio.QM
http://creativecommons.org/licenses/by/4.0/
Clinical trials are conducted to test the effectiveness and safety of potential drugs in humans for regulatory approval. Machine learning (ML) has recently emerged as a new tool to assist in clinical trials. Despite this progress, there have been few efforts to document and benchmark ML4Trial algorithms available to ...
[ { "version": "v1", "created": "Tue, 6 Jun 2023 21:19:03 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 05:55:10 GMT" } ]
2023-10-06T00:00:00
[ [ "Wang", "Zifeng", "" ], [ "Theodorou", "Brandon", "" ], [ "Fu", "Tianfan", "" ], [ "Xiao", "Cao", "" ], [ "Sun", "Jimeng", "" ] ]
new_dataset
0.999811
2306.08827
Zhongkai Hao
Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
null
null
null
null
cs.LG cs.NA math.NA physics.comp-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While significant progress has been made on Physics-Informed Neural Networks (PINNs), a comprehensive comparison of these methods across a wide range of Partial Differential Equations (PDEs) is still lacking. This study introduces PINNacle, a benchmarking tool designed to fill this gap. PINNacle provides a diverse da...
[ { "version": "v1", "created": "Thu, 15 Jun 2023 02:49:05 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 06:33:52 GMT" } ]
2023-10-06T00:00:00
[ [ "Hao", "Zhongkai", "" ], [ "Yao", "Jiachen", "" ], [ "Su", "Chang", "" ], [ "Su", "Hang", "" ], [ "Wang", "Ziao", "" ], [ "Lu", "Fanzhi", "" ], [ "Xia", "Zeyu", "" ], [ "Zhang", "Yichi", "" ...
new_dataset
0.999837
2306.13512
Luca Lanzend\"orfer
Luca A. Lanzend\"orfer, Florian Gr\"otschla, Emil Funke, Roger Wattenhofer
DISCO-10M: A Large-Scale Music Dataset
NeurIPS 2023 Track on Datasets and Benchmarks
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Music datasets play a crucial role in advancing research in machine learning for music. However, existing music datasets suffer from limited size, accessibility, and lack of audio resources. To address these shortcomings, we present DISCO-10M, a novel and extensive music dataset that surpasses the largest previously ...
[ { "version": "v1", "created": "Fri, 23 Jun 2023 14:27:14 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 09:45:00 GMT" } ]
2023-10-06T00:00:00
[ [ "Lanzendörfer", "Luca A.", "" ], [ "Grötschla", "Florian", "" ], [ "Funke", "Emil", "" ], [ "Wattenhofer", "Roger", "" ] ]
new_dataset
0.999853
2306.13941
Ehud Shapiro
Ehud Shapiro
Grassroots Social Networking: Serverless, Permissionless Protocols for Twitter/LinkedIn/WhatsApp
null
null
10.1145/3599696.3612898
null
cs.DC cs.CY cs.MA cs.NI cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Offering a viable alternative architecture to centrally-controlled global digital platforms for social networking is an open challenge. Here we present a grassroots architecture for serverless, permissionless, peer-to-peer social networks termed grassroots social networking. The architecture is geared for roaming (ad...
[ { "version": "v1", "created": "Sat, 24 Jun 2023 11:43:17 GMT" } ]
2023-10-06T00:00:00
[ [ "Shapiro", "Ehud", "" ] ]
new_dataset
0.999485
2307.11932
Isaac Kasahara
Isaac Kasahara, Shubham Agrawal, Selim Engin, Nikhil Chavan-Dafle, Shuran Song, Volkan Isler
RIC: Rotate-Inpaint-Complete for Generalizable Scene Reconstruction
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
General scene reconstruction refers to the task of estimating the full 3D geometry and texture of a scene containing previously unseen objects. In many practical applications such as AR/VR, autonomous navigation, and robotics, only a single view of the scene may be available, making the scene reconstruction task chal...
[ { "version": "v1", "created": "Fri, 21 Jul 2023 22:39:41 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 22:57:04 GMT" } ]
2023-10-06T00:00:00
[ [ "Kasahara", "Isaac", "" ], [ "Agrawal", "Shubham", "" ], [ "Engin", "Selim", "" ], [ "Chavan-Dafle", "Nikhil", "" ], [ "Song", "Shuran", "" ], [ "Isler", "Volkan", "" ] ]
new_dataset
0.987759
2309.00616
Zhening Huang
Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
28 pages, 17 figures, 13 tables. Project page: https://zheninghuang.github.io/OpenIns3D/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current 3D open-vocabulary scene understanding methods mostly utilize well-aligned 2D images as the bridge to learn 3D features with language. However, applying these approaches becomes challenging in scenarios where 2D images are absent. In this work, we introduce a new pipeline, namely, OpenIns3D, which requires no...
[ { "version": "v1", "created": "Fri, 1 Sep 2023 17:59:56 GMT" }, { "version": "v2", "created": "Mon, 4 Sep 2023 17:59:54 GMT" }, { "version": "v3", "created": "Thu, 5 Oct 2023 15:15:58 GMT" } ]
2023-10-06T00:00:00
[ [ "Huang", "Zhening", "" ], [ "Wu", "Xiaoyang", "" ], [ "Chen", "Xi", "" ], [ "Zhao", "Hengshuang", "" ], [ "Zhu", "Lei", "" ], [ "Lasenby", "Joan", "" ] ]
new_dataset
0.998941
2309.06262
Hao Yu
Hao Yu, Xu Cheng, Wei Peng, Weihao Liu, Guoying Zhao
Modality Unifying Network for Visible-Infrared Person Re-Identification
11 pages, 5 figures. Accepted as the poster paper in ICCV2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visible-infrared person re-identification (VI-ReID) is a challenging task due to large cross-modality discrepancies and intra-class variations. Existing methods mainly focus on learning modality-shared representations by embedding different modalities into the same feature space. As a result, the learned feature emph...
[ { "version": "v1", "created": "Tue, 12 Sep 2023 14:22:22 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 12:30:08 GMT" } ]
2023-10-06T00:00:00
[ [ "Yu", "Hao", "" ], [ "Cheng", "Xu", "" ], [ "Peng", "Wei", "" ], [ "Liu", "Weihao", "" ], [ "Zhao", "Guoying", "" ] ]
new_dataset
0.99571
2309.09566
Christian Choffrut
Christian Choffrut
Synchronous orders on the set of integers
null
null
null
null
cs.FL
http://creativecommons.org/licenses/by-nc-sa/4.0/
A binary relation over a free monoid is synchronous if it can be recognized by a synchronous automaton that reads its two tapes simultaneously. We consider the case where the free monoid is generated by a single element (which makes it isomorphic to the additive monoid of integers) and where the binary relation recog...
[ { "version": "v1", "created": "Mon, 18 Sep 2023 08:20:57 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 08:36:01 GMT" } ]
2023-10-06T00:00:00
[ [ "Choffrut", "Christian", "" ] ]
new_dataset
0.994723
2309.12340
Laura Schelenz
Laura Schelenz, Ingrid Stapf, Jessica Heesen
Security for Children in the Digital Society -- A Rights-based and Research Ethics Approach
This version included false figures and technical difficulties made it difficult to replace the current version with another one that does not include the false figures
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
In this position paper, we present initial perspectives and research results from the project "SIKID - Security for Children in the Digital World." The project is situated in a German context with a focus on European frameworks for the development of Artificial Intelligence and the protection of children from securit...
[ { "version": "v1", "created": "Thu, 24 Aug 2023 08:13:02 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 10:15:38 GMT" } ]
2023-10-06T00:00:00
[ [ "Schelenz", "Laura", "" ], [ "Stapf", "Ingrid", "" ], [ "Heesen", "Jessica", "" ] ]
new_dataset
0.994339
2309.13573
Yuhao Liang
Yuhao Liang, Mohan Shi, Fan Yu, Yangze Li, Shiliang Zhang, Zhihao Du, Qian Chen, Lei Xie, Yanmin Qian, Jian Wu, Zhuo Chen, Kong Aik Lee, Zhijie Yan, Hui Bu
The second multi-channel multi-party meeting transcription challenge (M2MeT) 2.0): A benchmark for speaker-attributed ASR
8 pages, Accepted by ASRU2023
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by-sa/4.0/
With the success of the first Multi-channel Multi-party Meeting Transcription challenge (M2MeT), the second M2MeT challenge (M2MeT 2.0) held in ASRU2023 particularly aims to tackle the complex task of \emph{speaker-attributed ASR (SA-ASR)}, which directly addresses the practical and challenging problem of ``who spoke...
[ { "version": "v1", "created": "Sun, 24 Sep 2023 07:51:52 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 11:35:58 GMT" } ]
2023-10-06T00:00:00
[ [ "Liang", "Yuhao", "" ], [ "Shi", "Mohan", "" ], [ "Yu", "Fan", "" ], [ "Li", "Yangze", "" ], [ "Zhang", "Shiliang", "" ], [ "Du", "Zhihao", "" ], [ "Chen", "Qian", "" ], [ "Xie", "Lei", "" ...
new_dataset
0.992567
2309.15630
Linxin Song
Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li
NLPBench: Evaluating Large Language Models on Solving NLP Problems
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Recent developments in large language models (LLMs) have shown promise in enhancing the capabilities of natural language processing (NLP). Despite these successes, there remains a dearth of research dedicated to the NLP problem-solving abilities of LLMs. To fill the gap in this area, we present a unique benchmarking ...
[ { "version": "v1", "created": "Wed, 27 Sep 2023 13:02:06 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 19:49:27 GMT" } ]
2023-10-06T00:00:00
[ [ "Song", "Linxin", "" ], [ "Zhang", "Jieyu", "" ], [ "Cheng", "Lechao", "" ], [ "Zhou", "Pengyuan", "" ], [ "Zhou", "Tianyi", "" ], [ "Li", "Irene", "" ] ]
new_dataset
0.999487
2309.16163
Juhyeon Kim
Juhyeon Kim, Wojciech Jarosz, Ioannis Gkioulekas, Adithya Pediredla
Doppler Time-of-Flight Rendering
18 pages, 28 Figures, SIGGRAPH Asia 2023
null
10.1145/3618335
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce Doppler time-of-flight (D-ToF) rendering, an extension of ToF rendering for dynamic scenes, with applications in simulating D-ToF cameras. D-ToF cameras use high-frequency modulation of illumination and exposure, and measure the Doppler frequency shift to compute the radial velocity of dynamic objects. T...
[ { "version": "v1", "created": "Thu, 28 Sep 2023 04:30:51 GMT" }, { "version": "v2", "created": "Fri, 29 Sep 2023 02:59:28 GMT" }, { "version": "v3", "created": "Thu, 5 Oct 2023 16:13:34 GMT" } ]
2023-10-06T00:00:00
[ [ "Kim", "Juhyeon", "" ], [ "Jarosz", "Wojciech", "" ], [ "Gkioulekas", "Ioannis", "" ], [ "Pediredla", "Adithya", "" ] ]
new_dataset
0.993425
2310.01889
Hao Liu
Hao Liu, Matei Zaharia, Pieter Abbeel
Ring Attention with Blockwise Transformers for Near-Infinite Context
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transformers have emerged as the architecture of choice for many state-of-the-art AI models, showcasing exceptional performance across a wide range of AI applications. However, the memory demands imposed by Transformers limit their ability to handle long sequences, thereby creating challenges for tasks involving exte...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 08:44:50 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 06:25:34 GMT" } ]
2023-10-06T00:00:00
[ [ "Liu", "Hao", "" ], [ "Zaharia", "Matei", "" ], [ "Abbeel", "Pieter", "" ] ]
new_dataset
0.99967
2310.02357
Sergey Berezin
Sergey Berezin, Reza Farahbakhsh, Noel Crespi
On the definition of toxicity in NLP
null
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
The fundamental problem in toxicity detection task lies in the fact that the toxicity is ill-defined. This causes us to rely on subjective and vague data in models' training, which results in non-robust and non-accurate results: garbage in - garbage out. This work suggests a new, stress-level-based definition of to...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 18:32:34 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 12:36:19 GMT" } ]
2023-10-06T00:00:00
[ [ "Berezin", "Sergey", "" ], [ "Farahbakhsh", "Reza", "" ], [ "Crespi", "Noel", "" ] ]
new_dataset
0.998204
2310.02601
Ruiyuan Gao
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
MagicDrive: Street View Generation with Diverse 3D Geometry Control
Project Page: https://flymin.github.io/magicdrive
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Recent advancements in diffusion models have significantly enhanced the data synthesis with 2D control. Yet, precise 3D control in street view generation, crucial for 3D perception tasks, remains elusive. Specifically, utilizing Bird's-Eye View (BEV) as the primary condition often leads to challenges in geometry cont...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 06:14:06 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 07:07:38 GMT" } ]
2023-10-06T00:00:00
[ [ "Gao", "Ruiyuan", "" ], [ "Chen", "Kai", "" ], [ "Xie", "Enze", "" ], [ "Hong", "Lanqing", "" ], [ "Li", "Zhenguo", "" ], [ "Yeung", "Dit-Yan", "" ], [ "Xu", "Qiang", "" ] ]
new_dataset
0.980478
2310.02676
Yujin Tang
Yujin Tang, Jiaming Zhou, Xiang Pan, Zeying Gong, Junwei Liang
PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting
16 pages, 3 figures
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurate precipitation forecasting is a vital challenge of both scientific and societal importance. Data-driven approaches have emerged as a widely used solution for addressing this challenge. However, solely relying on data-driven approaches has limitations in modeling the underlying physics, making accurate predict...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 09:27:39 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 02:49:36 GMT" } ]
2023-10-06T00:00:00
[ [ "Tang", "Yujin", "" ], [ "Zhou", "Jiaming", "" ], [ "Pan", "Xiang", "" ], [ "Gong", "Zeying", "" ], [ "Liang", "Junwei", "" ] ]
new_dataset
0.981038
2310.02800
Yichao Yuan
Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
Everest: GPU-Accelerated System For Mining Temporal Motifs
null
null
null
null
cs.SE cs.DC
http://creativecommons.org/licenses/by/4.0/
Temporal motif mining is the task of finding the occurrences of subgraph patterns within a large input temporal graph that obey the specified structural and temporal constraints. Despite its utility in several critical application domains that demand high performance (e.g., detecting fraud in financial transaction gr...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 13:21:04 GMT" }, { "version": "v2", "created": "Thu, 5 Oct 2023 00:53:02 GMT" } ]
2023-10-06T00:00:00
[ [ "Yuan", "Yichao", "" ], [ "Ye", "Haojie", "" ], [ "Vedula", "Sanketh", "" ], [ "Kaza", "Wynn", "" ], [ "Talati", "Nishil", "" ] ]
new_dataset
0.987687
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", "" ] ]
new_dataset
0.981816
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", "" ] ]
new_dataset
0.999305
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", "" ] ]
new_dataset
0.998191
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", "" ] ]
new_dataset
0.999049
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
0.997772
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
0.996048
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
0.974864
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.", "" ] ]
new_dataset
0.962451
2310.03285
Ahmed Abusnaina
Ahmed Abusnaina, Yizhen Wang, Sunpreet Arora, Ke Wang, Mihai Christodorescu, David Mohaisen
Burning the Adversarial Bridges: Robust Windows Malware Detection Against Binary-level Mutations
12 pages
null
null
null
cs.LG cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Toward robust malware detection, we explore the attack surface of existing malware detection systems. We conduct root-cause analyses of the practical binary-level black-box adversarial malware examples. Additionally, we uncover the sensitivity of volatile features within the detection engines and exhibit their exploi...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 03:28:02 GMT" } ]
2023-10-06T00:00:00
[ [ "Abusnaina", "Ahmed", "" ], [ "Wang", "Yizhen", "" ], [ "Arora", "Sunpreet", "" ], [ "Wang", "Ke", "" ], [ "Christodorescu", "Mihai", "" ], [ "Mohaisen", "David", "" ] ]
new_dataset
0.998672
2310.03302
Jian Vora
Qian Huang, Jian Vora, Percy Liang, Jure Leskovec
Benchmarking Large Language Models As AI Research Agents
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Scientific experimentation involves an iterative process of creating hypotheses, designing experiments, running experiments, and analyzing the results. Can we build AI research agents to perform these long-horizon tasks? To take a step towards building and evaluating research agents on such open-ended decision-making...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 04:06:12 GMT" } ]
2023-10-06T00:00:00
[ [ "Huang", "Qian", "" ], [ "Vora", "Jian", "" ], [ "Liang", "Percy", "" ], [ "Leskovec", "Jure", "" ] ]
new_dataset
0.996636
2310.03374
Fabio Stroppa
Fabio Stroppa
Design Optimizer for Planar Soft-Growing Robot Manipulators
50 pages, 15 figures
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Soft-growing robots are innovative devices that feature plant-inspired growth to navigate environments. Thanks to their embodied intelligence of adapting to their surroundings and the latest innovation in actuation and manufacturing, it is possible to employ them for specific manipulation tasks. The applications of t...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 08:23:17 GMT" } ]
2023-10-06T00:00:00
[ [ "Stroppa", "Fabio", "" ] ]
new_dataset
0.998724
2310.03380
Xingdong Ren
Xingdong Ren, Tianxing Zhang, Hanzhou Wu, Xinpeng Zhang, Yinggui Wang, Guangling Sun
StegGuard: Fingerprinting Self-supervised Pre-trained Encoders via Secrets Embeder and Extractor
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose StegGuard, a novel fingerprinting mechanism to verify the ownership of the suspect pre-trained encoder using steganography. A critical perspective in StegGuard is that the unique characteristic of the transformation from an image to an embedding, conducted by the pre-trained encoder, can be e...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 08:30:42 GMT" } ]
2023-10-06T00:00:00
[ [ "Ren", "Xingdong", "" ], [ "Zhang", "Tianxing", "" ], [ "Wu", "Hanzhou", "" ], [ "Zhang", "Xinpeng", "" ], [ "Wang", "Yinggui", "" ], [ "Sun", "Guangling", "" ] ]
new_dataset
0.994238
2310.03388
Paolo Rabino
Paolo Rabino, Antonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi
OpenPatch: a 3D patchwork for Out-Of-Distribution detectionpdf icon
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Moving deep learning models from the laboratory setting to the open world entails preparing them to handle unforeseen conditions. In several applications the occurrence of novel classes during deployment poses a significant threat, thus it is crucial to effectively detect them. Ideally, this skill should be used when...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 08:49:51 GMT" } ]
2023-10-06T00:00:00
[ [ "Rabino", "Paolo", "" ], [ "Alliegro", "Antonio", "" ], [ "Borlino", "Francesco Cappio", "" ], [ "Tommasi", "Tatiana", "" ] ]
new_dataset
0.998729
2310.03394
Khaled Wahba
Khaled Wahba, Joaquim Ortiz-Haro, Marc Toussaint and Wolfgang H\"onig
Kinodynamic Motion Planning for a Team of Multirotors Transporting a Cable-Suspended Payload in Cluttered Environments
Submitted to ICRA, 2024
null
null
null
cs.RO cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a motion planner for cable-driven payload transportation using multiple unmanned aerial vehicles (UAVs) in an environment cluttered with obstacles. Our planner is kinodynamic, i.e., it considers the full dynamics model of the transporting system including actuation constraints. Due to the high dimensionali...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 09:02:22 GMT" } ]
2023-10-06T00:00:00
[ [ "Wahba", "Khaled", "" ], [ "Ortiz-Haro", "Joaquim", "" ], [ "Toussaint", "Marc", "" ], [ "Hönig", "Wolfgang", "" ] ]
new_dataset
0.951684
2310.03402
Zhenyu Bu
Zhenyu Bu, Kai-Ni Wang, Fuxing Zhao, Shengxiao Li, Guang-Quan Zhou
A Complementary Global and Local Knowledge Network for Ultrasound denoising with Fine-grained Refinement
Submitted to ICASSP 2024
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ultrasound imaging serves as an effective and non-invasive diagnostic tool commonly employed in clinical examinations. However, the presence of speckle noise in ultrasound images invariably degrades image quality, impeding the performance of subsequent tasks, such as segmentation and classification. Existing methods ...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 09:12:34 GMT" } ]
2023-10-06T00:00:00
[ [ "Bu", "Zhenyu", "" ], [ "Wang", "Kai-Ni", "" ], [ "Zhao", "Fuxing", "" ], [ "Li", "Shengxiao", "" ], [ "Zhou", "Guang-Quan", "" ] ]
new_dataset
0.986105
2310.03443
Hung-Shin Lee
Li-Wei Chen, Kai-Chen Cheng, Hung-Shin Lee
The North System for Formosa Speech Recognition Challenge 2023
null
null
null
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
This report provides a concise overview of the proposed North system, which aims to achieve automatic word/syllable recognition for Taiwanese Hakka (Sixian). The report outlines three key components of the system: the acquisition, composition, and utilization of the training data; the architecture of the model; and t...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 10:29:18 GMT" } ]
2023-10-06T00:00:00
[ [ "Chen", "Li-Wei", "" ], [ "Cheng", "Kai-Chen", "" ], [ "Lee", "Hung-Shin", "" ] ]
new_dataset
0.997734
2310.03478
Boshi An
Boshi An, Yiran Geng, Kai Chen, Xiaoqi Li, Qi Dou, Hao Dong
RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by-sa/4.0/
Robotic manipulation requires accurate perception of the environment, which poses a significant challenge due to its inherent complexity and constantly changing nature. In this context, RGB image and point-cloud observations are two commonly used modalities in visual-based robotic manipulation, but each of these moda...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 11:46:09 GMT" } ]
2023-10-06T00:00:00
[ [ "An", "Boshi", "" ], [ "Geng", "Yiran", "" ], [ "Chen", "Kai", "" ], [ "Li", "Xiaoqi", "" ], [ "Dou", "Qi", "" ], [ "Dong", "Hao", "" ] ]
new_dataset
0.999028
2310.03491
Washington Cunha
Washington Cunha, Celso Fran\c{c}a, Leonardo Rocha, Marcos Andr\'e Gon\c{c}alves
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method
10 pages, 8 figures, 5 tables
null
null
null
cs.IR cs.LG cs.SE
http://creativecommons.org/licenses/by/4.0/
There is a niche of companies responsible for intermediating the purchase of large batches of varied products for other companies, for which the main challenge is to perform product description standardization, i.e., matching an item described by a client with a product described in a catalog. The problem is complex ...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 12:02:51 GMT" } ]
2023-10-06T00:00:00
[ [ "Cunha", "Washington", "" ], [ "França", "Celso", "" ], [ "Rocha", "Leonardo", "" ], [ "Gonçalves", "Marcos André", "" ] ]
new_dataset
0.988432
2310.03505
Alexander Mock
Alexander Mock, Martin Magnusson, Joachim Hertzberg
RadaRays: Real-time Simulation of Rotating FMCW Radar for Mobile Robotics via Hardware-accelerated Ray Tracing
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
RadaRays allows for the accurate modeling and simulation of rotating FMCW radar sensors in complex environments, including the simulation of reflection, refraction, and scattering of radar waves. Our software is able to handle large numbers of objects and materials, making it suitable for use in a variety of mobile r...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 12:35:09 GMT" } ]
2023-10-06T00:00:00
[ [ "Mock", "Alexander", "" ], [ "Magnusson", "Martin", "" ], [ "Hertzberg", "Joachim", "" ] ]
new_dataset
0.998163
2310.03563
\'Agoston Csehi
\'Agoston Istv\'an Csehi, Csaba M\'at\'e J\'ozsa
BID-NeRF: RGB-D image pose estimation with inverted Neural Radiance Fields
Accepted to Nerf4ADR workshop of ICCV23 conference
null
null
null
cs.CV cs.LG cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
We aim to improve the Inverted Neural Radiance Fields (iNeRF) algorithm which defines the image pose estimation problem as a NeRF based iterative linear optimization. NeRFs are novel neural space representation models that can synthesize photorealistic novel views of real-world scenes or objects. Our contributions ar...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 14:27:06 GMT" } ]
2023-10-06T00:00:00
[ [ "Csehi", "Ágoston István", "" ], [ "Józsa", "Csaba Máté", "" ] ]
new_dataset
0.997065
2310.03574
Anders Bj{\ae}rt S{\o}rensen
Anders Bj{\ae}rt S{\o}rensen
A note on a gap in the proof of the minimum distance for Projective Reed-Muller Codes
null
null
null
null
cs.IT math.AG math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The note clarifies a gap in the proof of the minimum distance for Projective Reed-Muller Codes. The gap was identified by S.Ghorpade and R.Ludhani in a recent article. Here the original thoughts are explained and the gap closed.
[ { "version": "v1", "created": "Thu, 5 Oct 2023 14:46:22 GMT" } ]
2023-10-06T00:00:00
[ [ "Sørensen", "Anders Bjært", "" ] ]
new_dataset
0.950299
2310.03583
Christopher Scherb
Christopher Scherb and Adrian Hadayah and Luc Bryan Heitz
CyMed: A Framework for Testing Cybersecurity of Connected Medical Devices
null
null
null
null
cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Connected Medical Devices (CMDs) have a large impact on patients as they allow them to lead a more normal life. Any malfunction could not only remove the health benefits the CMDs provide, they could also cause further harm to the patient. Due to this, there are many safety regulations which must be adhered to prior t...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 15:05:16 GMT" } ]
2023-10-06T00:00:00
[ [ "Scherb", "Christopher", "" ], [ "Hadayah", "Adrian", "" ], [ "Heitz", "Luc Bryan", "" ] ]
new_dataset
0.999123
2310.03602
Chuan Fang
Chuan Fang, Xiaotao Hu, Kunming Luo, Ping Tan
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Text-driven 3D indoor scene generation could be useful for gaming, film industry, and AR/VR applications. However, existing methods cannot faithfully capture the room layout, nor do they allow flexible editing of individual objects in the room. To address these problems, we present Ctrl-Room, which is able to generat...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 15:29:52 GMT" } ]
2023-10-06T00:00:00
[ [ "Fang", "Chuan", "" ], [ "Hu", "Xiaotao", "" ], [ "Luo", "Kunming", "" ], [ "Tan", "Ping", "" ] ]
new_dataset
0.995126
2310.03617
Yihong Tang
Yihong Tang, Weipeng Deng, Shuyu Lei, Yuebing Liang, Zhenliang Ma, Zhan Zhao
RouteKG: A knowledge graph-based framework for route prediction on road networks
null
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Short-term route prediction on road networks allows us to anticipate the future trajectories of road users, enabling a plethora of intelligent transportation applications such as dynamic traffic control or personalized route recommendation. Despite the recent advances in this area, existing methods focus primarily on...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 10:40:35 GMT" } ]
2023-10-06T00:00:00
[ [ "Tang", "Yihong", "" ], [ "Deng", "Weipeng", "" ], [ "Lei", "Shuyu", "" ], [ "Liang", "Yuebing", "" ], [ "Ma", "Zhenliang", "" ], [ "Zhao", "Zhan", "" ] ]
new_dataset
0.986767
2310.03635
Jiayuan Mao
Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah D. Goodman, Jiajun Wu
CLEVRER-Humans: Describing Physical and Causal Events the Human Way
NeurIPS 2022 (Dataset and Benchmark Track). First two authors contributed equally. Project page: https://sites.google.com/stanford.edu/clevrer-humans/home
null
null
null
cs.AI cs.CL cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Building machines that can reason about physical events and their causal relationships is crucial for flexible interaction with the physical world. However, most existing physical and causal reasoning benchmarks are exclusively based on synthetically generated events and synthetic natural language descriptions of cau...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 16:09:48 GMT" } ]
2023-10-06T00:00:00
[ [ "Mao", "Jiayuan", "" ], [ "Yang", "Xuelin", "" ], [ "Zhang", "Xikun", "" ], [ "Goodman", "Noah D.", "" ], [ "Wu", "Jiajun", "" ] ]
new_dataset
0.999656
2310.03665
Sergio Salinas-Fern\'andez S. Salinas-Fern\'andez
Sergio Salinas-Fern\'andez and Nancy Hitschfeld-Kahler
POLYLLA: Polygonal/Polyhedral meshing algorithm based on terminal-edge regions and terminal-face regions
Technical report
null
null
null
cs.CG
http://creativecommons.org/publicdomain/zero/1.0/
Polylla is a polygonal mesh algorithm that generates meshes with arbitrarily shaped polygons using the concept of terminal-edge regions. Until now, Polylla has been limited to 2D meshes, but in this work, we extend Polylla to 3D volumetric meshes. We present two versions of Polylla 3D. The first version generates ter...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 16:40:38 GMT" } ]
2023-10-06T00:00:00
[ [ "Salinas-Fernández", "Sergio", "" ], [ "Hitschfeld-Kahler", "Nancy", "" ] ]
new_dataset
0.999001
2310.03676
Ajay Suresha Sathya
Ajay Suresha Sathya, Wilm Decre, Jan Swevers
PV-OSIMr: A Lowest Order Complexity Algorithm for Computing the Delassus Matrix
8 pages, submitted for review
null
null
null
cs.RO
http://creativecommons.org/licenses/by-sa/4.0/
We present PV-OSIMr, an efficient algorithm for computing the Delassus matrix (also known as the inverse operational space inertia matrix) for a kinematic tree, with the lowest order computational complexity known in literature. PV-OSIMr is derived by optimizing the Popov-Vereshchagin (PV) solver computations using t...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 16:52:59 GMT" } ]
2023-10-06T00:00:00
[ [ "Sathya", "Ajay Suresha", "" ], [ "Decre", "Wilm", "" ], [ "Swevers", "Jan", "" ] ]
new_dataset
0.987291
2310.03700
Evgeny Stemasov
Evgeny Stemasov, Jessica Hohn, Maurice Cordts, Anja Schikorr, Enrico Rukzio, Jan Gugenheimer
BrickStARt: Enabling In-situ Design and Tangible Exploration for Personal Fabrication using Mixed Reality
23 pages, 13 figures, to appear in: Proceedings of the ACM on Human-Computer Interaction, Vol. 7 Number ISS (PACM ISS), November 5-8, 2023, Pittsburgh, PA, USA
Proceedings of the ACM on Human-Computer Interaction, Vol. 7, No. ISS (PACM ISS), 2023, Article 429
10.1145/3626465
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
3D printers enable end-users to design and fabricate unique physical artifacts but maintain an increased entry barrier and friction. End users must design tangible artifacts through intangible media away from the main problem space (ex-situ) and transfer spatial requirements to an abstract software environment. To al...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 17:18:13 GMT" } ]
2023-10-06T00:00:00
[ [ "Stemasov", "Evgeny", "" ], [ "Hohn", "Jessica", "" ], [ "Cordts", "Maurice", "" ], [ "Schikorr", "Anja", "" ], [ "Rukzio", "Enrico", "" ], [ "Gugenheimer", "Jan", "" ] ]
new_dataset
0.996659
2310.03704
Zhiwen Fan
Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Hanwen Jiang, Dejia Xu, Zehao Zhu, Dilin Wang, Zhangyang Wang
Drag View: Generalizable Novel View Synthesis with Unposed Imagery
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce DragView, a novel and interactive framework for generating novel views of unseen scenes. DragView initializes the new view from a single source image, and the rendering is supported by a sparse set of unposed multi-view images, all seamlessly executed within a single feed-forward pass. Our approach begin...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 17:24:36 GMT" } ]
2023-10-06T00:00:00
[ [ "Fan", "Zhiwen", "" ], [ "Pan", "Panwang", "" ], [ "Wang", "Peihao", "" ], [ "Jiang", "Yifan", "" ], [ "Jiang", "Hanwen", "" ], [ "Xu", "Dejia", "" ], [ "Zhu", "Zehao", "" ], [ "Wang", "Dilin", ...
new_dataset
0.993806
2310.03731
Aojun Zhou
Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
The state-of-the-art open-source language models for mathematical reasoning
null
null
null
cs.CL cs.AI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recently released GPT-4 Code Interpreter has demonstrated remarkable proficiency in solving challenging math problems, primarily attributed to its ability to seamlessly reason with natural language, generate code, execute code, and continue reasoning based on the execution output. In this paper, we present a meth...
[ { "version": "v1", "created": "Thu, 5 Oct 2023 17:52:09 GMT" } ]
2023-10-06T00:00:00
[ [ "Wang", "Ke", "" ], [ "Ren", "Houxing", "" ], [ "Zhou", "Aojun", "" ], [ "Lu", "Zimu", "" ], [ "Luo", "Sichun", "" ], [ "Shi", "Weikang", "" ], [ "Zhang", "Renrui", "" ], [ "Song", "Linqi", ...
new_dataset
0.998443
2106.06082
Bradley Hauer
Bradley Hauer, Grzegorz Kondrak
One Sense per Translation
To be published at IJCNLP-AACL 2023: The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
Word sense disambiguation (WSD) is the task of determining the sense of a word in context. Translations have been used in WSD as a source of knowledge, and even as a means of delimiting word senses. In this paper, we define three theoretical properties of the relationship between senses and translations, and argue th...
[ { "version": "v1", "created": "Thu, 10 Jun 2021 23:24:26 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 17:54:58 GMT" } ]
2023-10-05T00:00:00
[ [ "Hauer", "Bradley", "" ], [ "Kondrak", "Grzegorz", "" ] ]
new_dataset
0.977606
2206.08903
Taylor Bobrow
Taylor L. Bobrow, Mayank Golhar, Rohan Vijayan, Venkata S. Akshintala, Juan R. Garcia, and Nicholas J. Durr
Colonoscopy 3D Video Dataset with Paired Depth from 2D-3D Registration
null
null
10.1016/j.media.2023.102956
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Screening colonoscopy is an important clinical application for several 3D computer vision techniques, including depth estimation, surface reconstruction, and missing region detection. However, the development, evaluation, and comparison of these techniques in real colonoscopy videos remain largely qualitative due to ...
[ { "version": "v1", "created": "Fri, 17 Jun 2022 17:23:50 GMT" }, { "version": "v2", "created": "Wed, 23 Nov 2022 15:58:44 GMT" }, { "version": "v3", "created": "Tue, 5 Sep 2023 17:51:32 GMT" } ]
2023-10-05T00:00:00
[ [ "Bobrow", "Taylor L.", "" ], [ "Golhar", "Mayank", "" ], [ "Vijayan", "Rohan", "" ], [ "Akshintala", "Venkata S.", "" ], [ "Garcia", "Juan R.", "" ], [ "Durr", "Nicholas J.", "" ] ]
new_dataset
0.999849
2209.01774
Boyi Liu
Boyi Liu
ElasticROS: An Elastically Collaborative Robot Operation System for Fog and Cloud Robotics
null
null
null
null
cs.RO
http://creativecommons.org/publicdomain/zero/1.0/
Robots are integrating more huge-size models to enrich functions and improve accuracy, which leads to out-of-control computing pressure. And thus robots are encountering bottlenecks in computing power and battery capacity. Fog or cloud robotics is one of the most anticipated theories to address these issues. Approach...
[ { "version": "v1", "created": "Mon, 5 Sep 2022 05:54:35 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 07:31:41 GMT" } ]
2023-10-05T00:00:00
[ [ "Liu", "Boyi", "" ] ]
new_dataset
0.973745
2211.14118
Cl\'ement Hardy
Cl\'ement Hardy, Yvain Qu\'eau, David Tschumperl\'e
MS-PS: A Multi-Scale Network for Photometric Stereo With a New Comprehensive Training Dataset
null
null
10.24132/CSRN.3301.23
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The photometric stereo (PS) problem consists in reconstructing the 3D-surface of an object, thanks to a set of photographs taken under different lighting directions. In this paper, we propose a multi-scale architecture for PS which, combined with a new dataset, yields state-of-the-art results. Our proposed architectu...
[ { "version": "v1", "created": "Fri, 25 Nov 2022 14:01:54 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 09:29:07 GMT" } ]
2023-10-05T00:00:00
[ [ "Hardy", "Clément", "" ], [ "Quéau", "Yvain", "" ], [ "Tschumperlé", "David", "" ] ]
new_dataset
0.998913
2303.06419
Vihari Piratla Dr
Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
Use Perturbations when Learning from Explanations
NeurIPS 2023
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Machine learning from explanations (MLX) is an approach to learning that uses human-provided explanations of relevant or irrelevant features for each input to ensure that model predictions are right for the right reasons. Existing MLX approaches rely on local model interpretation methods and require strong model smoo...
[ { "version": "v1", "created": "Sat, 11 Mar 2023 14:57:52 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 16:24:04 GMT" } ]
2023-10-05T00:00:00
[ [ "Heo", "Juyeon", "" ], [ "Piratla", "Vihari", "" ], [ "Wicker", "Matthew", "" ], [ "Weller", "Adrian", "" ] ]
new_dataset
0.978692
2303.11916
Sanghyuk Chun
Geonmo Gu and Sanghyuk Chun and Wonjae Kim and HeeJae Jun and Yoohoon Kang and Sangdoo Yun
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
First two authors contributed equally; 26 pages, 4.1MB
null
null
null
cs.CV cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a novel diffusion-based model, CompoDiff, for solving Composed Image Retrieval (CIR) with latent diffusion and presents a newly created dataset, named SynthTriplets18M, of 18 million reference images, conditions, and corresponding target image triplets to train the model. CompoDiff and SynthTriple...
[ { "version": "v1", "created": "Tue, 21 Mar 2023 15:06:35 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 15:54:30 GMT" } ]
2023-10-05T00:00:00
[ [ "Gu", "Geonmo", "" ], [ "Chun", "Sanghyuk", "" ], [ "Kim", "Wonjae", "" ], [ "Jun", "HeeJae", "" ], [ "Kang", "Yoohoon", "" ], [ "Yun", "Sangdoo", "" ] ]
new_dataset
0.998983
2305.14779
Nikita Srivatsan
Nikita Srivatsan, Sofia Samaniego, Omar Florez, Taylor Berg-Kirkpatrick
Alt-Text with Context: Improving Accessibility for Images on Twitter
null
null
null
null
cs.CV cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
In this work we present an approach for generating alternative text (or alt-text) descriptions for images shared on social media, specifically Twitter. More than just a special case of image captioning, alt-text is both more literally descriptive and context-specific. Also critically, images posted to Twitter are oft...
[ { "version": "v1", "created": "Wed, 24 May 2023 06:35:26 GMT" }, { "version": "v2", "created": "Tue, 3 Oct 2023 23:01:05 GMT" } ]
2023-10-05T00:00:00
[ [ "Srivatsan", "Nikita", "" ], [ "Samaniego", "Sofia", "" ], [ "Florez", "Omar", "" ], [ "Berg-Kirkpatrick", "Taylor", "" ] ]
new_dataset
0.97619
2305.16311
Omri Avrahami
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
Break-A-Scene: Extracting Multiple Concepts from a Single Image
SIGGRAPH Asia 2023. Project page: at: https://omriavrahami.com/break-a-scene/ Video: https://www.youtube.com/watch?v=-9EA-BhizgM
null
null
null
cs.CV cs.GR cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Text-to-image model personalization aims to introduce a user-provided concept to the model, allowing its synthesis in diverse contexts. However, current methods primarily focus on the case of learning a single concept from multiple images with variations in backgrounds and poses, and struggle when adapted to a differ...
[ { "version": "v1", "created": "Thu, 25 May 2023 17:59:04 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 07:38:36 GMT" } ]
2023-10-05T00:00:00
[ [ "Avrahami", "Omri", "" ], [ "Aberman", "Kfir", "" ], [ "Fried", "Ohad", "" ], [ "Cohen-Or", "Daniel", "" ], [ "Lischinski", "Dani", "" ] ]
new_dataset
0.98457
2306.03091
Tianyang Liu
Tianyang Liu, Canwen Xu, Julian McAuley
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
null
null
null
null
cs.CL cs.AI cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large Language Models (LLMs) have greatly advanced code auto-completion systems, with a potential for substantial productivity enhancements for developers. However, current benchmarks mainly focus on single-file tasks, leaving an assessment gap for more complex, real-world, multi-file programming scenarios. To fill t...
[ { "version": "v1", "created": "Mon, 5 Jun 2023 17:59:41 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 01:13:49 GMT" } ]
2023-10-05T00:00:00
[ [ "Liu", "Tianyang", "" ], [ "Xu", "Canwen", "" ], [ "McAuley", "Julian", "" ] ]
new_dataset
0.999498
2306.03872
Zhan Ling
Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic and Hao Su
Deductive Verification of Chain-of-Thought Reasoning
Published at NeurIPS 2023
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) significantly benefit from Chain-of-Thought (CoT) prompting in performing various reasoning tasks. While CoT allows models to produce more comprehensive reasoning processes, its emphasis on intermediate reasoning steps can inadvertently introduce hallucinations and accumulated errors, the...
[ { "version": "v1", "created": "Tue, 6 Jun 2023 17:18:56 GMT" }, { "version": "v2", "created": "Wed, 7 Jun 2023 00:37:34 GMT" }, { "version": "v3", "created": "Tue, 3 Oct 2023 19:48:22 GMT" } ]
2023-10-05T00:00:00
[ [ "Ling", "Zhan", "" ], [ "Fang", "Yunhao", "" ], [ "Li", "Xuanlin", "" ], [ "Huang", "Zhiao", "" ], [ "Lee", "Mingu", "" ], [ "Memisevic", "Roland", "" ], [ "Su", "Hao", "" ] ]
new_dataset
0.989599
2307.00589
Qiao Jin
Qiao Jin, Won Kim, Qingyu Chen, Donald C. Comeau, Lana Yeganova, W. John Wilbur, Zhiyong Lu
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
The MedCPT code and API are available at https://github.com/ncbi/MedCPT
null
null
null
cs.IR cs.AI cs.CL q-bio.QM
http://creativecommons.org/licenses/by/4.0/
Information retrieval (IR) is essential in biomedical knowledge acquisition and clinical decision support. While recent progress has shown that language model encoders perform better semantic retrieval, training such models requires abundant query-article annotations that are difficult to obtain in biomedicine. As a ...
[ { "version": "v1", "created": "Sun, 2 Jul 2023 15:11:59 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 01:43:15 GMT" } ]
2023-10-05T00:00:00
[ [ "Jin", "Qiao", "" ], [ "Kim", "Won", "" ], [ "Chen", "Qingyu", "" ], [ "Comeau", "Donald C.", "" ], [ "Yeganova", "Lana", "" ], [ "Wilbur", "W. John", "" ], [ "Lu", "Zhiyong", "" ] ]
new_dataset
0.977628
2307.10387
Rui Wang
Rui Wang, Sophokles Ktistakis, Siwei Zhang, Mirko Meboldt, and Quentin Lohmeyer
POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
null
"Medical Image Computing and Computer Assisted Intervention -- MICCAI 2023"
10.1007/978-3-031-43996-4_42
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The surgical usage of Mixed Reality (MR) has received growing attention in areas such as surgical navigation systems, skill assessment, and robot-assisted surgeries. For such applications, pose estimation for hand and surgical instruments from an egocentric perspective is a fundamental task and has been studied exten...
[ { "version": "v1", "created": "Wed, 19 Jul 2023 18:00:32 GMT" } ]
2023-10-05T00:00:00
[ [ "Wang", "Rui", "" ], [ "Ktistakis", "Sophokles", "" ], [ "Zhang", "Siwei", "" ], [ "Meboldt", "Mirko", "" ], [ "Lohmeyer", "Quentin", "" ] ]
new_dataset
0.999691
2307.10928
Seonghyeon Ye
Seonghyeon Ye, Doyoung Kim, Sungdong Kim, Hyeonbin Hwang, Seungone Kim, Yongrae Jo, James Thorne, Juho Kim, Minjoon Seo
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Evaluation of Large Language Models (LLMs) is challenging because instruction-following necessitates alignment with human values and the required set of skills varies depending on the instruction. However, previous studies have mainly focused on coarse-grained evaluation (i.e. overall preference-based evaluation), wh...
[ { "version": "v1", "created": "Thu, 20 Jul 2023 14:56:35 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 04:11:16 GMT" } ]
2023-10-05T00:00:00
[ [ "Ye", "Seonghyeon", "" ], [ "Kim", "Doyoung", "" ], [ "Kim", "Sungdong", "" ], [ "Hwang", "Hyeonbin", "" ], [ "Kim", "Seungone", "" ], [ "Jo", "Yongrae", "" ], [ "Thorne", "James", "" ], [ "Kim", ...
new_dataset
0.999722
2308.07327
Juho Kim
Juho Kim
PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations
6 pages, 1 figure, submission to IEEE Transactions on Games
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
PokerKit is an open-source Python library designed to overcome the restrictions of existing poker game simulation and hand evaluation tools, which typically support only a handful of poker variants and lack flexibility in game state control. In contrast, PokerKit significantly expands this scope by supporting an exte...
[ { "version": "v1", "created": "Tue, 8 Aug 2023 13:54:48 GMT" }, { "version": "v2", "created": "Sun, 10 Sep 2023 22:20:32 GMT" }, { "version": "v3", "created": "Tue, 3 Oct 2023 23:42:04 GMT" } ]
2023-10-05T00:00:00
[ [ "Kim", "Juho", "" ] ]
new_dataset
0.99955
2309.03006
Jens-Rene Giesen
Sven Smolka (1), Jens-Rene Giesen (1), Pascal Winkler (1), Oussama Draissi (1), Lucas Davi (1), Ghassan Karame (2), Klaus Pohl (1) ((1) University of Duisburg-Essen, (2) Ruhr University Bochum)
Fuzz on the Beach: Fuzzing Solana Smart Contracts
This paper will appear on the ACM CCS 2023 in November 2023
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Solana has quickly emerged as a popular platform for building decentralized applications (DApps), such as marketplaces for non-fungible tokens (NFTs). A key reason for its success are Solana's low transaction fees and high performance, which is achieved in part due to its stateless programming model. Although the lit...
[ { "version": "v1", "created": "Wed, 6 Sep 2023 13:54:07 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 09:42:17 GMT" } ]
2023-10-05T00:00:00
[ [ "Smolka", "Sven", "" ], [ "Giesen", "Jens-Rene", "" ], [ "Winkler", "Pascal", "" ], [ "Draissi", "Oussama", "" ], [ "Davi", "Lucas", "" ], [ "Karame", "Ghassan", "" ], [ "Pohl", "Klaus", "" ] ]
new_dataset
0.999425
2309.05445
Andreas Herten
Andreas Herten
Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview
To be published in the proceedings of the P3HPC workshop, hosted at SC23 (International Conference for High Performance Computing, Networking, Storage, and Analysis)
null
null
null
cs.DC cs.PL
http://creativecommons.org/licenses/by/4.0/
In recent history, GPUs became a key driver of compute performance in HPC. With the installation of the Frontier supercomputer, they became the enablers of the Exascale era; further largest-scale installations are in progress (Aurora, El Capitan, JUPITER). But the early-day dominance by NVIDIA and their CUDA programm...
[ { "version": "v1", "created": "Mon, 11 Sep 2023 13:32:32 GMT" }, { "version": "v2", "created": "Tue, 12 Sep 2023 07:13:51 GMT" }, { "version": "v3", "created": "Wed, 4 Oct 2023 14:08:31 GMT" } ]
2023-10-05T00:00:00
[ [ "Herten", "Andreas", "" ] ]
new_dataset
0.950266
2309.10253
Jiahao Yu
Jiahao Yu, Xingwei Lin, Zheng Yu, Xinyu Xing
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Large language models (LLMs) have recently experienced tremendous popularity and are widely used from casual conversations to AI-driven programming. However, despite their considerable success, LLMs are not entirely reliable and can give detailed guidance on how to conduct harmful or illegal activities. While safety ...
[ { "version": "v1", "created": "Tue, 19 Sep 2023 02:19:48 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 06:15:12 GMT" } ]
2023-10-05T00:00:00
[ [ "Yu", "Jiahao", "" ], [ "Lin", "Xingwei", "" ], [ "Yu", "Zheng", "" ], [ "Xing", "Xinyu", "" ] ]
new_dataset
0.985208
2309.16282
Mukta Debnath
Mukta Debnath, Krishnendu Guha, Debasri Saha, Susmita Sur-Kolay
AgEncID: Aggregate Encryption Individual Decryption of Key for FPGA Bitstream IP Cores in Cloud
21 pages, 7 figures, 5 tables
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Cloud computing platforms are progressively adopting Field Programmable Gate Arrays to deploy specialized hardware accelerators for specific computational tasks. However, the security of FPGA-based bitstream for Intellectual Property, IP cores from unauthorized interception in cloud environments remains a prominent c...
[ { "version": "v1", "created": "Thu, 28 Sep 2023 09:27:56 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 12:01:32 GMT" } ]
2023-10-05T00:00:00
[ [ "Debnath", "Mukta", "" ], [ "Guha", "Krishnendu", "" ], [ "Saha", "Debasri", "" ], [ "Sur-Kolay", "Susmita", "" ] ]
new_dataset
0.991845
2310.01469
Jiayu Yao
Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Mu-Nan Ning, Li Yuan
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large Language Models (LLMs), including GPT-3.5, LLaMA, and PaLM, seem to be knowledgeable and able to adapt to many tasks. However, we still can not completely trust their answer, since LLMs suffer from hallucination--fabricating non-existent facts to cheat users without perception. And the reasons for their existen...
[ { "version": "v1", "created": "Mon, 2 Oct 2023 17:01:56 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 17:53:49 GMT" } ]
2023-10-05T00:00:00
[ [ "Yao", "Jia-Yu", "" ], [ "Ning", "Kun-Peng", "" ], [ "Liu", "Zhen-Hui", "" ], [ "Ning", "Mu-Nan", "" ], [ "Yuan", "Li", "" ] ]
new_dataset
0.995721
2310.01557
Yue Wu
Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li
SmartPlay : A Benchmark for LLMs as Intelligent Agents
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Recent large language models (LLMs) have demonstrated great potential toward intelligent agents and next-gen automation, but there currently lacks a systematic benchmark for evaluating LLMs' abilities as agents. We introduce SmartPlay: both a challenging benchmark and a methodology for evaluating LLMs as agents. Smar...
[ { "version": "v1", "created": "Mon, 2 Oct 2023 18:52:11 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 04:10:15 GMT" } ]
2023-10-05T00:00:00
[ [ "Wu", "Yue", "" ], [ "Tang", "Xuan", "" ], [ "Mitchell", "Tom M.", "" ], [ "Li", "Yuanzhi", "" ] ]
new_dataset
0.999504
2310.01852
Bin Zhu
Bin Zhu, Bin Lin, Munan Ning, Yang Yan, Jiaxi Cui, HongFa Wang, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, Wancai Zhang, Zhifeng Li, Wei Liu, and Li Yuan
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
Under review as a conference paper at ICLR 2024
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The video-language (VL) pretraining has achieved remarkable improvement in multiple downstream tasks. However, the current VL pretraining framework is hard to extend to multiple modalities (N modalities, N>=3) beyond vision and language. We thus propose LanguageBind, taking the language as the bind across different m...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 07:33:27 GMT" }, { "version": "v2", "created": "Wed, 4 Oct 2023 03:48:19 GMT" } ]
2023-10-05T00:00:00
[ [ "Zhu", "Bin", "" ], [ "Lin", "Bin", "" ], [ "Ning", "Munan", "" ], [ "Yan", "Yang", "" ], [ "Cui", "Jiaxi", "" ], [ "Wang", "HongFa", "" ], [ "Pang", "Yatian", "" ], [ "Jiang", "Wenhao", "" ...
new_dataset
0.998871
2310.02282
Sarah Almeida Carneiro
Sarah Almeida Carneiro (LIGM, IFPEN), Giovanni Chierchia (LIGM), Jean Charl\'ety (IFPEN), Aur\'elie Chataignon (IFPEN), Laurent Najman (LIGM)
SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features
null
International Conference on Models and Technologies for Intelligent Transportation Systems, Jun 2023, Nice, France. pp.1-6
10.1109/MT-ITS56129.2023.10241394
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although traffic is one of the massively collected data, it is often only available for specific regions. One concern is that, although there are studies that give good results for these data, the data from these regions may not be sufficiently representative to describe all the traffic patterns in the rest of the wo...
[ { "version": "v1", "created": "Mon, 2 Oct 2023 12:39:33 GMT" } ]
2023-10-05T00:00:00
[ [ "Carneiro", "Sarah Almeida", "", "LIGM, IFPEN" ], [ "Chierchia", "Giovanni", "", "LIGM" ], [ "Charléty", "Jean", "", "IFPEN" ], [ "Chataignon", "Aurélie", "", "IFPEN" ], [ "Najman", "Laurent", "", "LIGM" ] ]
new_dataset
0.996781
2310.02324
Mohd Omama
Mohammad Omama, Pranav Inani, Pranjal Paul, Sarat Chandra Yellapragada, Krishna Murthy Jatavallabhula, Sandeep Chinchali, and Madhava Krishna
ALT-Pilot: Autonomous navigation with Language augmented Topometric maps
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
We present an autonomous navigation system that operates without assuming HD LiDAR maps of the environment. Our system, ALT-Pilot, relies only on publicly available road network information and a sparse (and noisy) set of crowdsourced language landmarks. With the help of onboard sensors and a language-augmented topom...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 18:01:27 GMT" } ]
2023-10-05T00:00:00
[ [ "Omama", "Mohammad", "" ], [ "Inani", "Pranav", "" ], [ "Paul", "Pranjal", "" ], [ "Yellapragada", "Sarat Chandra", "" ], [ "Jatavallabhula", "Krishna Murthy", "" ], [ "Chinchali", "Sandeep", "" ], [ "Krishna", ...
new_dataset
0.999359
2310.02344
EPTCS
Christopher R. Anderson, Louise A. Dennis
Autonomous Systems' Safety Cases for use in UK Nuclear Environments
In Proceedings AREA 2023, arXiv:2310.00333
EPTCS 391, 2023, pp. 83-88
10.4204/EPTCS.391.10
null
cs.RO cs.AI
http://creativecommons.org/licenses/by/4.0/
An overview of the process to develop a safety case for an autonomous robot deployment on a nuclear site in the UK is described and a safety case for a hypothetical robot incorporating AI is presented. This forms a first step towards a deployment, showing what is possible now and what may be possible with development...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 18:24:19 GMT" } ]
2023-10-05T00:00:00
[ [ "Anderson", "Christopher R.", "" ], [ "Dennis", "Louise A.", "" ] ]
new_dataset
0.989336
2310.02356
EPTCS
Caroline Bonhomme (Safran Electronics and Defense, ONERA), Jean-Louis Dufour (Safran Electronics and Defense)
ORTAC+ : A User Friendly Domain Specific Language for Multi-Agent Mission Planning
In Proceedings AREA 2023, arXiv:2310.00333
EPTCS 391, 2023, pp. 127-133
10.4204/EPTCS.391.14
null
cs.PL cs.MA
http://creativecommons.org/licenses/by/4.0/
A tactical military unit is a complex system composed of many agents such as infantry, robots, or drones. Given a mission, an automated planner can find an optimal plan. Therefore, the mission itself must be modeled. The problem is that languages like PDDL are too low-level to be usable by the end-user: an officer in...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 18:31:31 GMT" } ]
2023-10-05T00:00:00
[ [ "Bonhomme", "Caroline", "", "Safran Electronics and Defense, ONERA" ], [ "Dufour", "Jean-Louis", "", "Safran Electronics and Defense" ] ]
new_dataset
0.998754
2310.02393
Margus Veanes
Margus Veanes and Thomas Ball and Gabriel Ebner and Olli Saarikivi
Symbolic Automata: $\omega$-Regularity Modulo Theories
null
null
null
null
cs.FL cs.DS
http://creativecommons.org/licenses/by/4.0/
Symbolic automata are finite state automata that support potentially infinite alphabets, such as the set of rational numbers, generally applied to regular expressions/languages over finite words. In symbolic automata (or automata modulo theories), an alphabet is represented by an effective Boolean algebra, supported ...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 19:27:03 GMT" } ]
2023-10-05T00:00:00
[ [ "Veanes", "Margus", "" ], [ "Ball", "Thomas", "" ], [ "Ebner", "Gabriel", "" ], [ "Saarikivi", "Olli", "" ] ]
new_dataset
0.999517
2310.02399
Ashutosh Srivastava
Ashutosh Srivastava, Qing Zhao, Yi Lu, Ping Wang, Qi Qu, Zhu Ji, Yee Sin Chan, Shivendra S. Panwar
Can 5G NR Sidelink communications support wireless augmented reality?
7 pages, 7 figures, accepted for publication in 2023 IEEE Global Communications Conference: Mobile and Wireless Networks (Globecom 2023 MWN), Kuala Lumpur, Malaysia, Dec. 2023
null
null
null
cs.NI eess.SP
http://creativecommons.org/licenses/by/4.0/
Smart glasses that support augmented reality (AR) have the potential to become the consumer's primary medium of connecting to the future internet. For the best quality of user experience, AR glasses must have a small form factor and long battery life, while satisfying the data rate and latency requirements of AR appl...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 19:48:47 GMT" } ]
2023-10-05T00:00:00
[ [ "Srivastava", "Ashutosh", "" ], [ "Zhao", "Qing", "" ], [ "Lu", "Yi", "" ], [ "Wang", "Ping", "" ], [ "Qu", "Qi", "" ], [ "Ji", "Zhu", "" ], [ "Chan", "Yee Sin", "" ], [ "Panwar", "Shivendra S."...
new_dataset
0.986416
2310.02409
Guanghui Qin
Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme
Nugget 2D: Dynamic Contextual Compression for Scaling Decoder-only Language Models
Preprint. 15 pages and 7 figures
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Standard Transformer-based language models (LMs) scale poorly to long contexts. We propose a solution based on dynamic contextual compression, which extends the Nugget approach of Qin & Van Durme (2023) from BERT-like frameworks to decoder-only LMs. Our method models history as compressed "nuggets" which are trained ...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 20:07:06 GMT" } ]
2023-10-05T00:00:00
[ [ "Qin", "Guanghui", "" ], [ "Rosset", "Corby", "" ], [ "Chau", "Ethan C.", "" ], [ "Rao", "Nikhil", "" ], [ "Van Durme", "Benjamin", "" ] ]
new_dataset
0.996483
2310.02424
Amanda Swearngin
Maryam Taeb, Amanda Swearngin, Eldon School, Ruijia Cheng, Yue Jiang, Jeffrey Nichols
AXNav: Replaying Accessibility Tests from Natural Language
22 pages, 7 figures
null
null
null
cs.HC cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Developers and quality assurance testers often rely on manual testing to test accessibility features throughout the product lifecycle. Unfortunately, manual testing can be tedious, often has an overwhelming scope, and can be difficult to schedule amongst other development milestones. Recently, Large Language Models (...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 20:37:58 GMT" } ]
2023-10-05T00:00:00
[ [ "Taeb", "Maryam", "" ], [ "Swearngin", "Amanda", "" ], [ "School", "Eldon", "" ], [ "Cheng", "Ruijia", "" ], [ "Jiang", "Yue", "" ], [ "Nichols", "Jeffrey", "" ] ]
new_dataset
0.972651
2310.02426
Samyadeep Basu
Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi
EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
A plethora of text-guided image editing methods have recently been developed by leveraging the impressive capabilities of large-scale diffusion-based generative models such as Imagen and Stable Diffusion. A standardized evaluation protocol, however, does not exist to compare methods across different types of fine-gra...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 20:46:10 GMT" } ]
2023-10-05T00:00:00
[ [ "Basu", "Samyadeep", "" ], [ "Saberi", "Mehrdad", "" ], [ "Bhardwaj", "Shweta", "" ], [ "Chegini", "Atoosa Malemir", "" ], [ "Massiceti", "Daniela", "" ], [ "Sanjabi", "Maziar", "" ], [ "Hu", "Shell Xu", ""...
new_dataset
0.999711
2310.02492
Yan Luo
Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang
Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Fairness or equity in machine learning is profoundly important for societal well-being, but limited public datasets hinder its progress, especially in the area of medicine. It is undeniable that fairness in medicine is one of the most important areas for fairness learning's applications. Currently, no large-scale pub...
[ { "version": "v1", "created": "Tue, 3 Oct 2023 23:44:35 GMT" } ]
2023-10-05T00:00:00
[ [ "Luo", "Yan", "" ], [ "Tian", "Yu", "" ], [ "Shi", "Min", "" ], [ "Elze", "Tobias", "" ], [ "Wang", "Mengyu", "" ] ]
new_dataset
0.99955
2310.02522
Fan Yang
Fan Yang and Tao Wang
SCB-Dataset3: A Benchmark for Detecting Student Classroom Behavior
arXiv admin note: text overlap with arXiv:2304.02488, arXiv:2306.03318
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of deep learning methods to automatically detect students' classroom behavior is a promising approach for analyzing their class performance and improving teaching effectiveness. However, the lack of publicly available datasets on student behavior poses a challenge for researchers in this field. To address thi...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 01:43:46 GMT" } ]
2023-10-05T00:00:00
[ [ "Yang", "Fan", "" ], [ "Wang", "Tao", "" ] ]
new_dataset
0.999765
2310.02530
Tianyu Chen
Tianyu Chen, Lin Li, Taotao Qian, Zeyu Wang, Guangtai Liang, Ding Li, Qianxiang Wang, Tao Xie
Identifying Vulnerability Patches by Comprehending Code Commits with Comprehensive Change Contexts
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To help application developers apply vulnerability patches timely, security researchers maintain vulnerability databases such as National Vulnerability Database (NVD). By directly monitoring NVD with the name of each used library, application developers can be aware of vulnerabilities and their patches. Given that th...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 02:08:18 GMT" } ]
2023-10-05T00:00:00
[ [ "Chen", "Tianyu", "" ], [ "Li", "Lin", "" ], [ "Qian", "Taotao", "" ], [ "Wang", "Zeyu", "" ], [ "Liang", "Guangtai", "" ], [ "Li", "Ding", "" ], [ "Wang", "Qianxiang", "" ], [ "Xie", "Tao", ...
new_dataset
0.994057
2310.02532
Tara Sadjadpour
Tara Sadjadpour, Rares Ambrus, Jeannette Bohg
ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking
8 pages, 1 figure
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
3D multi-object tracking (MOT) is essential for an autonomous mobile agent to safely navigate a scene. In order to maximize the perception capabilities of the autonomous agent, we aim to develop a 3D MOT framework that fuses camera and LiDAR sensor information. Building on our prior LiDAR-only work, ShaSTA, which mod...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 02:17:59 GMT" } ]
2023-10-05T00:00:00
[ [ "Sadjadpour", "Tara", "" ], [ "Ambrus", "Rares", "" ], [ "Bohg", "Jeannette", "" ] ]
new_dataset
0.996185
2310.02638
Fazhi He
Zhihao Zong, Fazhi He, Rubin Fan, Yuxin Liu
P2CADNet: An End-to-End Reconstruction Network for Parametric 3D CAD Model from Point Clouds
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computer Aided Design (CAD), especially the feature-based parametric CAD, plays an important role in modern industry and society. However, the reconstruction of featured CAD model is more challenging than the reconstruction of other CAD models. To this end, this paper proposes an end-to-end network to reconstruct fea...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 08:00:05 GMT" } ]
2023-10-05T00:00:00
[ [ "Zong", "Zhihao", "" ], [ "He", "Fazhi", "" ], [ "Fan", "Rubin", "" ], [ "Liu", "Yuxin", "" ] ]
new_dataset
0.998885
2310.02713
Jong Chul Ye
Gyutaek Oh, Baekgyu Choi, Inkyung Jung, and Jong Chul Ye
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain
21 pages, 16 figures
null
null
null
cs.LG cs.AI q-bio.GN q-bio.QM
http://creativecommons.org/licenses/by-nc-nd/4.0/
Single-cell RNA sequencing (scRNA-seq) has made significant strides in unraveling the intricate cellular diversity within complex tissues. This is particularly critical in the brain, presenting a greater diversity of cell types than other tissue types, to gain a deeper understanding of brain function within various c...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 10:30:08 GMT" } ]
2023-10-05T00:00:00
[ [ "Oh", "Gyutaek", "" ], [ "Choi", "Baekgyu", "" ], [ "Jung", "Inkyung", "" ], [ "Ye", "Jong Chul", "" ] ]
new_dataset
0.9996
2310.02744
Kathryn Kirchoff
Kathryn E. Kirchoff, Travis Maxfield, Alexander Tropsha, Shawn M. Gomez
SALSA: Semantically-Aware Latent Space Autoencoder
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
In deep learning for drug discovery, chemical data are often represented as simplified molecular-input line-entry system (SMILES) sequences which allow for straightforward implementation of natural language processing methodologies, one being the sequence-to-sequence autoencoder. However, we observe that training an ...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 11:34:46 GMT" } ]
2023-10-05T00:00:00
[ [ "Kirchoff", "Kathryn E.", "" ], [ "Maxfield", "Travis", "" ], [ "Tropsha", "Alexander", "" ], [ "Gomez", "Shawn M.", "" ] ]
new_dataset
0.982691
2310.02753
Debayan Deb
Debayan Deb, Suvidha Tripathi, and Pranit Puri
MUNCH: Modelling Unique 'N Controllable Heads
null
null
null
null
cs.CV cs.AI cs.GR cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
The automated generation of 3D human heads has been an intriguing and challenging task for computer vision researchers. Prevailing methods synthesize realistic avatars but with limited control over the diversity and quality of rendered outputs and suffer from limited correlation between shape and texture of the chara...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 11:44:20 GMT" } ]
2023-10-05T00:00:00
[ [ "Deb", "Debayan", "" ], [ "Tripathi", "Suvidha", "" ], [ "Puri", "Pranit", "" ] ]
new_dataset
0.995376
2310.02804
Maryam Fazel-Zarandi
Peifang Wang and Olga Golovneva and Armen Aghajanyan and Xiang Ren and Muhao Chen and Asli Celikyilmaz and Maryam Fazel-Zarandi
DOMINO: A Dual-System for Multi-step Visual Language Reasoning
null
null
null
null
cs.CL cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Visual language reasoning requires a system to extract text or numbers from information-dense images like charts or plots and perform logical or arithmetic reasoning to arrive at an answer. To tackle this task, existing work relies on either (1) an end-to-end vision-language model trained on a large amount of data, o...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 13:29:47 GMT" } ]
2023-10-05T00:00:00
[ [ "Wang", "Peifang", "" ], [ "Golovneva", "Olga", "" ], [ "Aghajanyan", "Armen", "" ], [ "Ren", "Xiang", "" ], [ "Chen", "Muhao", "" ], [ "Celikyilmaz", "Asli", "" ], [ "Fazel-Zarandi", "Maryam", "" ] ]
new_dataset
0.999366
2310.02815
Kailun Yang
Hao Shi, Chengshan Pang, Jiaming Zhang, Kailun Yang, Yuhao Wu, Huajian Ni, Yining Lin, Rainer Stiefelhagen, Kaiwei Wang
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity
The source code will be made publicly available at https://github.com/MasterHow/CoBEV
null
null
null
cs.CV cs.RO eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Roadside camera-driven 3D object detection is a crucial task in intelligent transportation systems, which extends the perception range beyond the limitations of vision-centric vehicles and enhances road safety. While previous studies have limitations in using only depth or height information, we find both depth and h...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 13:38:53 GMT" } ]
2023-10-05T00:00:00
[ [ "Shi", "Hao", "" ], [ "Pang", "Chengshan", "" ], [ "Zhang", "Jiaming", "" ], [ "Yang", "Kailun", "" ], [ "Wu", "Yuhao", "" ], [ "Ni", "Huajian", "" ], [ "Lin", "Yining", "" ], [ "Stiefelhagen", ...
new_dataset
0.998947
2310.02862
Xin Zhu
Xin Zhu, Daoguang Yang, Hongyi Pan, Hamid Reza Karimi, Didem Ozevin, Ahmet Enis Cetin
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression
null
null
null
null
cs.LG cs.AI eess.SP
http://creativecommons.org/licenses/by/4.0/
The lack of an efficient compression model remains a challenge for the wireless transmission of gearbox data in non-contact gear fault diagnosis problems. In this paper, we present a signal-adaptive asymmetrical autoencoder with a transform domain layer to compress sensor signals. First, a new discrete cosine Stockwe...
[ { "version": "v1", "created": "Wed, 4 Oct 2023 14:50:58 GMT" } ]
2023-10-05T00:00:00
[ [ "Zhu", "Xin", "" ], [ "Yang", "Daoguang", "" ], [ "Pan", "Hongyi", "" ], [ "Karimi", "Hamid Reza", "" ], [ "Ozevin", "Didem", "" ], [ "Cetin", "Ahmet Enis", "" ] ]
new_dataset
0.997728