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2405.20978
Felton Fang
Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen and Ruifeng Xu
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
null
ACL 2024, Main Conference
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) exhibit substantial capabilities yet encounter challenges, including hallucination, outdated knowledge, and untraceable reasoning processes. Retrieval-augmented generation (RAG) has emerged as a promising solution, integrating knowledge from external databases to mitigate these challenges...
[ { "created": "Fri, 31 May 2024 16:24:53 GMT", "version": "v1" } ]
2024-06-03
[ [ "Fang", "Feiteng", "" ], [ "Bai", "Yuelin", "" ], [ "Ni", "Shiwen", "" ], [ "Yang", "Min", "" ], [ "Chen", "Xiaojun", "" ], [ "Xu", "Ruifeng", "" ] ]
2405.20980
Felix Mujkanovic
Felix Mujkanovic, Ntumba Elie Nsampi, Christian Theobalt, Hans-Peter Seidel, Thomas Leimk\"uhler
Neural Gaussian Scale-Space Fields
15 pages; SIGGRAPH 2024; project page at https://neural-gaussian-scale-space-fields.mpi-inf.mpg.de
ACM Transactions on Graphics, Volume 43, Issue 4, July 2024
10.1145/3658163
null
cs.CV cs.GR cs.LG
http://creativecommons.org/licenses/by/4.0/
Gaussian scale spaces are a cornerstone of signal representation and processing, with applications in filtering, multiscale analysis, anti-aliasing, and many more. However, obtaining such a scale space is costly and cumbersome, in particular for continuous representations such as neural fields. We present an efficien...
[ { "created": "Fri, 31 May 2024 16:26:08 GMT", "version": "v1" } ]
2024-07-23
[ [ "Mujkanovic", "Felix", "" ], [ "Nsampi", "Ntumba Elie", "" ], [ "Theobalt", "Christian", "" ], [ "Seidel", "Hans-Peter", "" ], [ "Leimkühler", "Thomas", "" ] ]
2405.21003
Amr Alkhatib
Amr Alkhatib, Henrik Bostr\"om, Michalis Vazirgiannis
Explaining Predictions by Characteristic Rules
Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022
In: Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Lecture Notes in Computer Science(), vol 13713. Springer, Cham (2023)
10.1007/978-3-031-26387-3_24
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Characteristic rules have been advocated for their ability to improve interpretability over discriminative rules within the area of rule learning. However, the former type of rule has not yet been used by techniques for explaining predictions. A novel explanation technique, called CEGA (Characteristic Explanatory Gen...
[ { "created": "Fri, 31 May 2024 16:44:40 GMT", "version": "v1" } ]
2024-06-03
[ [ "Alkhatib", "Amr", "" ], [ "Boström", "Henrik", "" ], [ "Vazirgiannis", "Michalis", "" ] ]
2405.21043
Fengdi Che
Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A Ramirez, Christopher K Harris, A. Rupam Mahmood, Dale Schuurmans
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
null
Proceedings of the 41 st International Conference on Machine Learning, 2024
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
We prove that the combination of a target network and over-parameterized linear function approximation establishes a weaker convergence condition for bootstrapped value estimation in certain cases, even with off-policy data. Our condition is naturally satisfied for expected updates over the entire state-action space ...
[ { "created": "Fri, 31 May 2024 17:36:16 GMT", "version": "v1" }, { "created": "Fri, 4 Oct 2024 18:04:33 GMT", "version": "v2" } ]
2024-10-08
[ [ "Che", "Fengdi", "" ], [ "Xiao", "Chenjun", "" ], [ "Mei", "Jincheng", "" ], [ "Dai", "Bo", "" ], [ "Gummadi", "Ramki", "" ], [ "Ramirez", "Oscar A", "" ], [ "Harris", "Christopher K", "" ], [ "Mahm...
2406.00123
Mingyuan Meng
Mingyuan Meng, Dagan Feng, Lei Bi, and Jinman Kim
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration
Accepted at CVPR2024 as Oral Presentation && Best Paper Candidate
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 9645-9654
null
null
eess.IV cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deformable image registration is a fundamental step for medical image analysis. Recently, transformers have been used for registration and outperformed Convolutional Neural Networks (CNNs). Transformers can capture long-range dependence among image features, which have been shown beneficial for registration. However,...
[ { "created": "Fri, 31 May 2024 18:25:23 GMT", "version": "v1" }, { "created": "Wed, 12 Jun 2024 12:21:52 GMT", "version": "v2" } ]
2024-06-13
[ [ "Meng", "Mingyuan", "" ], [ "Feng", "Dagan", "" ], [ "Bi", "Lei", "" ], [ "Kim", "Jinman", "" ] ]
2406.00291
Yiyang Zhao
Yiyang Zhao, Linnan Wang, Tian Guo
Multi-Objective Neural Architecture Search by Learning Search Space Partitions
null
Journal of Machine Learning Research 25 (2024) 1-41
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Deploying deep learning models requires taking into consideration neural network metrics such as model size, inference latency, and #FLOPs, aside from inference accuracy. This results in deep learning model designers leveraging multi-objective optimization to design effective deep neural networks in multiple criteria...
[ { "created": "Sat, 1 Jun 2024 03:51:34 GMT", "version": "v1" }, { "created": "Thu, 18 Jul 2024 01:53:35 GMT", "version": "v2" } ]
2024-08-20
[ [ "Zhao", "Yiyang", "" ], [ "Wang", "Linnan", "" ], [ "Guo", "Tian", "" ] ]
2406.00423
Luis Rei
Luis Rei and Dunja Mladeni\'c and Mareike Dorozynski and Franz Rottensteiner and Thomas Schleider and Rapha\"el Troncy and Jorge Sebasti\'an Lozano and Mar Gait\'an Salvatella
Multimodal Metadata Assignment for Cultural Heritage Artifacts
null
Multimedia Systems 29 (2023) 847-869
10.1007/s00530-022-01025-2
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
We develop a multimodal classifier for the cultural heritage domain using a late fusion approach and introduce a novel dataset. The three modalities are Image, Text, and Tabular data. We based the image classifier on a ResNet convolutional neural network architecture and the text classifier on a multilingual transfor...
[ { "created": "Sat, 1 Jun 2024 12:41:03 GMT", "version": "v1" } ]
2024-06-04
[ [ "Rei", "Luis", "" ], [ "Mladenić", "Dunja", "" ], [ "Dorozynski", "Mareike", "" ], [ "Rottensteiner", "Franz", "" ], [ "Schleider", "Thomas", "" ], [ "Troncy", "Raphaël", "" ], [ "Lozano", "Jorge Sebastián", ...
2406.00512
Marcos Faundez-Zanuy
Marcos Faundez-Zanuy, Moises Diaz
On the use of first and second derivative approximations for biometric online signature recognition
Advances in Computational Intelligence. IWANN 2023. pp 461 to 472
Lecture Notes in Computer Science, vol 14134, 2023
10.1007/978-3-031-43085-5_36
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper investigates the impact of different approximation methods in feature extraction for pattern recognition applications, specifically focused on delta and delta-delta parameters. Using MCYT330 online signature data-base, our experiments show that 11-point approximation outperforms 1-point approximation, resu...
[ { "created": "Sat, 1 Jun 2024 17:36:34 GMT", "version": "v1" } ]
2024-06-04
[ [ "Faundez-Zanuy", "Marcos", "" ], [ "Diaz", "Moises", "" ] ]
2406.00848
Hamza El Housni
Abdelilah Nossair, Hamza El Housni
Eating Smart: Advancing Health Informatics with the Grounding DINO based Dietary Assistant App
The work presented in this paper was part of the proceedings for the First International Conference on Artificial Intelligence (ICATA 2024)
Eating Smart: Advancing Health Informatics with the Grounding DINO-based Dietary Assistant App, International Journal of Scientific and Innovative Studies, June 2024, Volume 3, Number 3, Pages 26-34, Available online at IJSRIS
10.5281/zenodo.11243881
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The Smart Dietary Assistant utilizes Machine Learning to provide personalized dietary advice, focusing on users with conditions like diabetes. This app leverages the Grounding DINO model, which combines a text encoder and image backbone to enhance food item detection without requiring a labeled dataset. With an AP sc...
[ { "created": "Sun, 2 Jun 2024 19:59:07 GMT", "version": "v1" } ]
2024-06-04
[ [ "Nossair", "Abdelilah", "" ], [ "Housni", "Hamza El", "" ] ]
2406.01026
Xue Mengge
Mengge Xue, Zhenyu Hu, Liqun Liu, Kuo Liao, Shuang Li, Honglin Han, Meng Zhao, Chengguo Yin
Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors
Accept at ACL2024 Main
ACL 2024
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multiple-Choice Questions (MCQs) constitute a critical area of research in the study of Large Language Models (LLMs). Previous works have investigated the selection bias problem in MCQs within few-shot scenarios, in which the LLM's performance may be influenced by the presentation of answer choices, leaving the selec...
[ { "created": "Mon, 3 Jun 2024 06:20:12 GMT", "version": "v1" }, { "created": "Thu, 6 Jun 2024 06:32:45 GMT", "version": "v2" } ]
2024-06-07
[ [ "Xue", "Mengge", "" ], [ "Hu", "Zhenyu", "" ], [ "Liu", "Liqun", "" ], [ "Liao", "Kuo", "" ], [ "Li", "Shuang", "" ], [ "Han", "Honglin", "" ], [ "Zhao", "Meng", "" ], [ "Yin", "Chengguo", "...
2406.01062
Qilong Zhangli
Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan
Layout Agnostic Scene Text Image Synthesis with Diffusion Models
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 7496-7506
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 7496-7506
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
While diffusion models have significantly advanced the quality of image generation their capability to accurately and coherently render text within these images remains a substantial challenge. Conventional diffusion-based methods for scene text generation are typically limited by their reliance on an intermediate la...
[ { "created": "Mon, 3 Jun 2024 07:20:34 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2024 01:17:02 GMT", "version": "v2" }, { "created": "Mon, 8 Jul 2024 02:10:06 GMT", "version": "v3" }, { "created": "Fri, 19 Jul 2024 19:22:24 GMT", "version": "v4" }, { "cre...
2024-09-17
[ [ "Zhangli", "Qilong", "" ], [ "Jiang", "Jindong", "" ], [ "Liu", "Di", "" ], [ "Yu", "Licheng", "" ], [ "Dai", "Xiaoliang", "" ], [ "Ramchandani", "Ankit", "" ], [ "Pang", "Guan", "" ], [ "Metaxas", ...
2406.01096
Anjanava Biswas
Wrick Talukdar, Anjanava Biswas
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling
null
International Journal of Innovative Science and Research Technology: Vol. 9 (2024): No. 5, 1499-1508
10.38124/ijisrt/IJISRT24MAY2087
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
While supervised learning models have shown remarkable performance in various natural language processing (NLP) tasks, their success heavily relies on the availability of large-scale labeled datasets, which can be costly and time-consuming to obtain. Conversely, unsupervised learning techniques can leverage abundant ...
[ { "created": "Mon, 3 Jun 2024 08:31:35 GMT", "version": "v1" } ]
2024-06-04
[ [ "Talukdar", "Wrick", "" ], [ "Biswas", "Anjanava", "" ] ]
2406.01233
Viktor Scherbakov
Viktor Shcherbakov, Fedor Krasnov
Multi-word Term Embeddings Improve Lexical Product Retrieval
10 pages, 4 figures
In Proceedings of the Seventh Workshop on e-Commerce and NLP, LREC-COLING 2024, pages 115-124, Torino, Italia. ELRA and ICCL
null
null
cs.IR cs.CL
http://creativecommons.org/licenses/by/4.0/
Product search is uniquely different from search for documents, Internet resources or vacancies, therefore it requires the development of specialized search systems. The present work describes the H1 embdedding model, designed for an offline term indexing of product descriptions at e-commerce platforms. The model is ...
[ { "created": "Mon, 3 Jun 2024 11:52:52 GMT", "version": "v1" } ]
2024-06-04
[ [ "Shcherbakov", "Viktor", "" ], [ "Krasnov", "Fedor", "" ] ]
2406.01377
Weihao Zeng
Weihao Zeng, Joseph Campbell, Simon Stepputtis, Katia Sycara
Multi-Agent Transfer Learning via Temporal Contrastive Learning
6 pages, 6 figures
2024 IEEE International Conference on Robotics and Automation (ICRA) 2024
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a novel transfer learning framework for deep multi-agent reinforcement learning. The approach automatically combines goal-conditioned policies with temporal contrastive learning to discover meaningful sub-goals. The approach involves pre-training a goal-conditioned agent, finetuning it on the ta...
[ { "created": "Mon, 3 Jun 2024 14:42:14 GMT", "version": "v1" } ]
2024-06-04
[ [ "Zeng", "Weihao", "" ], [ "Campbell", "Joseph", "" ], [ "Stepputtis", "Simon", "" ], [ "Sycara", "Katia", "" ] ]
2406.01421
Zihao Zhang
Phillip Fernberg, Zihao Zhang
Problematizing AI Omnipresence in Landscape Architecture
null
Journal of Digital Landscape Architecture, 2024
10.14627/537752069
null
cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
This position paper argues for, and offers, a critical lens through which to examine the current AI frenzy in the landscape architecture profession. In it, the authors propose five archetypes or mental modes that landscape architects might inhabit when thinking about AI. Rather than limiting judgments of AI use to a ...
[ { "created": "Mon, 3 Jun 2024 15:20:05 GMT", "version": "v1" } ]
2024-06-04
[ [ "Fernberg", "Phillip", "" ], [ "Zhang", "Zihao", "" ] ]
2406.01618
Anjanava Biswas
Anjanava Biswas, Wrick Talukdar
FinEmbedDiff: A Cost-Effective Approach of Classifying Financial Documents with Vector Sampling using Multi-modal Embedding Models
10 pages, 3 figures
International Research Journal of Modernization in Engineering Technology and Science: Vol. 06 (2024): No. 5, 6142-6152
10.56726/IRJMETS57269
null
cs.IR cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Accurate classification of multi-modal financial documents, containing text, tables, charts, and images, is crucial but challenging. Traditional text-based approaches often fail to capture the complex multi-modal nature of these documents. We propose FinEmbedDiff, a cost-effective vector sampling method that leverage...
[ { "created": "Tue, 28 May 2024 16:34:24 GMT", "version": "v1" } ]
2024-06-05
[ [ "Biswas", "Anjanava", "" ], [ "Talukdar", "Wrick", "" ] ]
2406.01624
Alaa Nfissi
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian Mishara
Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition
Published in: Springer Nature International Journal of Applied Intelligence (2024)
Applied Intelligence (2024), 1-24
10.1007/s10489-024-05536-5
null
eess.AS cs.AI cs.CL cs.LG cs.SD
http://creativecommons.org/licenses/by/4.0/
Speech emotion recognition (SER) has gained significant attention due to its several application fields, such as mental health, education, and human-computer interaction. However, the accuracy of SER systems is hindered by high-dimensional feature sets that may contain irrelevant and redundant information. To overcom...
[ { "created": "Sat, 1 Jun 2024 00:39:55 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 22:21:55 GMT", "version": "v2" } ]
2024-06-07
[ [ "Nfissi", "Alaa", "" ], [ "Bouachir", "Wassim", "" ], [ "Bouguila", "Nizar", "" ], [ "Mishara", "Brian", "" ] ]
2406.01782
Leopoldo Carlos Agorio Grove
Leopoldo Agorio, Sean Van Alen, Miguel Calvo-Fullana, Santiago Paternain, Juan Andres Bazerque
Multi-agent assignment via state augmented reinforcement learning
12 pages, 3 figures, 6th Annual Conference on Learning for Dynamics and Control
Proceedings of Machine Learning Research vol 242 1 12, 2024. 6th Annual Conference on Learning for Dynamics and Control
null
null
eess.SY cs.AI cs.LG cs.MA cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address the conflicting requirements of a multi-agent assignment problem through constrained reinforcement learning, emphasizing the inadequacy of standard regularization techniques for this purpose. Instead, we recur to a state augmentation approach in which the oscillation of dual variables is exploited by agent...
[ { "created": "Mon, 3 Jun 2024 20:56:12 GMT", "version": "v1" } ]
2024-06-05
[ [ "Agorio", "Leopoldo", "" ], [ "Van Alen", "Sean", "" ], [ "Calvo-Fullana", "Miguel", "" ], [ "Paternain", "Santiago", "" ], [ "Bazerque", "Juan Andres", "" ] ]
2406.01789
Mario Truss
Mario Truss, Stephan Boehm
AI-based Classification of Customer Support Tickets: State of the Art and Implementation with AutoML
null
Proceedings of the IWEMB 2021/2022: Fifth and Sixth International Workshop on Entrepreneurship, Electronic and Mobile Business
null
null
cs.LG cs.AI cs.CL cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automation of support ticket classification is crucial to improve customer support performance and shortening resolution time for customer inquiries. This research aims to test the applicability of automated machine learning (AutoML) as a technology to train a machine learning model (ML model) that can classify suppo...
[ { "created": "Mon, 3 Jun 2024 21:13:02 GMT", "version": "v1" } ]
2024-06-05
[ [ "Truss", "Mario", "" ], [ "Boehm", "Stephan", "" ] ]
2406.01956
Panfeng Li
Zhicheng Ding, Panfeng Li, Qikai Yang, Siyang Li
Enhance Image-to-Image Generation with LLaVA-generated Prompts
Accepted by 2024 5th International Conference on Information Science, Parallel and Distributed Systems
Proceedings of the 2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS), 2024, pp. 77-81
10.1109/ISPDS62779.2024.10667513
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper presents a novel approach to enhance image-to-image generation by leveraging the multimodal capabilities of the Large Language and Vision Assistant (LLaVA). We propose a framework where LLaVA analyzes input images and generates textual descriptions, hereinafter LLaVA-generated prompts. These prompts, along...
[ { "created": "Tue, 4 Jun 2024 04:31:39 GMT", "version": "v1" }, { "created": "Fri, 20 Sep 2024 23:03:49 GMT", "version": "v2" } ]
2024-09-24
[ [ "Ding", "Zhicheng", "" ], [ "Li", "Panfeng", "" ], [ "Yang", "Qikai", "" ], [ "Li", "Siyang", "" ] ]
2406.02018
Manasi Sharma
Manasi Sharma, Ho Chit Siu, Rohan Paleja, Jaime D. Pe\~na
Why Would You Suggest That? Human Trust in Language Model Responses
null
ICML Humans, Algorithmic Decision-Making and Society: Modeling Interactions and Impact Workshop 2024
null
null
cs.CL cs.AI cs.HC
http://creativecommons.org/licenses/by/4.0/
The emergence of Large Language Models (LLMs) has revealed a growing need for human-AI collaboration, especially in creative decision-making scenarios where trust and reliance are paramount. Through human studies and model evaluations on the open-ended News Headline Generation task from the LaMP benchmark, we analyze...
[ { "created": "Tue, 4 Jun 2024 06:57:47 GMT", "version": "v1" }, { "created": "Fri, 4 Oct 2024 16:46:00 GMT", "version": "v2" } ]
2024-10-07
[ [ "Sharma", "Manasi", "" ], [ "Siu", "Ho Chit", "" ], [ "Paleja", "Rohan", "" ], [ "Peña", "Jaime D.", "" ] ]
2406.02338
Michele Mastromattei
Michele Mastromattei, Fabio Massimo Zanzotto
Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection
null
Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024
null
null
cs.CL cs.AI
http://creativecommons.org/publicdomain/zero/1.0/
This paper explores the correlation between linguistic diversity, sentiment analysis and transformer model architectures. We aim to investigate how different English variations impact transformer-based models for irony detection. To conduct our study, we used the EPIC corpus to extract five diverse English variation-...
[ { "created": "Tue, 4 Jun 2024 14:09:36 GMT", "version": "v1" } ]
2024-06-05
[ [ "Mastromattei", "Michele", "" ], [ "Zanzotto", "Fabio Massimo", "" ] ]
2406.02562
Gwantae Kim
Gwantae Kim, Bokyeung Lee, Donghyeon Kim and Hanseok Ko
Gated Low-rank Adaptation for personalized Code-Switching Automatic Speech Recognition on the low-spec devices
Table 2 is revised
ICASSP 2024 Workshop(HSCMA 2024) paper
null
null
eess.AS cs.AI cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
In recent times, there has been a growing interest in utilizing personalized large models on low-spec devices, such as mobile and CPU-only devices. However, utilizing a personalized large model in the on-device is inefficient, and sometimes limited due to computational cost. To tackle the problem, this paper presents...
[ { "created": "Wed, 24 Apr 2024 01:31:39 GMT", "version": "v1" } ]
2024-06-06
[ [ "Kim", "Gwantae", "" ], [ "Lee", "Bokyeung", "" ], [ "Kim", "Donghyeon", "" ], [ "Ko", "Hanseok", "" ] ]
2406.02579
Louis Ledoux
Louis Ledoux and Marc Casas
An Open-Source Framework for Efficient Numerically-Tailored Computations
6 pages, open-source
International Conference on Field Programmable Logic and Applications 2023
10.1109/FPL60245.2023.00011
null
cs.MS cs.AI cs.AR cs.LG cs.NA math.NA
http://creativecommons.org/licenses/by/4.0/
We present a versatile open-source framework designed to facilitate efficient, numerically-tailored Matrix-Matrix Multiplications (MMMs). The framework offers two primary contributions: first, a fine-tuned, automated pipeline for arithmetic datapath generation, enabling highly customizable systolic MMM kernels; secon...
[ { "created": "Wed, 29 May 2024 10:10:53 GMT", "version": "v1" } ]
2024-06-06
[ [ "Ledoux", "Louis", "" ], [ "Casas", "Marc", "" ] ]
2406.02591
Ivan Dubrovsky
Ivan Dubrovsky, Andrei Dmitrenko, Aleksei Dmitrenko, Nikita Serov, Vladimir Vinogradov
Unveiling the Potential of AI for Nanomaterial Morphology Prediction
null
Proceedings of the 41 st International Conference on Machine Learning. PMLR 235, 2024, 11957--11978
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Creation of nanomaterials with specific morphology remains a complex experimental process, even though there is a growing demand for these materials in various industry sectors. This study explores the potential of AI to predict the morphology of nanoparticles within the data availability constraints. For that, we fi...
[ { "created": "Fri, 31 May 2024 19:16:07 GMT", "version": "v1" } ]
2024-08-01
[ [ "Dubrovsky", "Ivan", "" ], [ "Dmitrenko", "Andrei", "" ], [ "Dmitrenko", "Aleksei", "" ], [ "Serov", "Nikita", "" ], [ "Vinogradov", "Vladimir", "" ] ]
2406.02921
Zhong Meng
Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran
Text Injection for Neural Contextual Biasing
5 pages, 1 figure
Interspeech 2024, Kos Island, Greece
null
null
cs.CL cs.AI cs.LG cs.NE eess.AS
http://creativecommons.org/licenses/by/4.0/
Neural contextual biasing effectively improves automatic speech recognition (ASR) for crucial phrases within a speaker's context, particularly those that are infrequent in the training data. This work proposes contextual text injection (CTI) to enhance contextual ASR. CTI leverages not only the paired speech-text dat...
[ { "created": "Wed, 5 Jun 2024 04:20:17 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2024 04:11:56 GMT", "version": "v2" } ]
2024-06-12
[ [ "Meng", "Zhong", "" ], [ "Wu", "Zelin", "" ], [ "Prabhavalkar", "Rohit", "" ], [ "Peyser", "Cal", "" ], [ "Wang", "Weiran", "" ], [ "Chen", "Nanxin", "" ], [ "Sainath", "Tara N.", "" ], [ "Ramabhadr...
2406.02996
Wooseong Jeong
Wooseong Jeong, Kuk-Jin Yoon
Quantifying Task Priority for Multi-Task Optimization
null
CVPR 2024
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of multi-task learning is to learn diverse tasks within a single unified network. As each task has its own unique objective function, conflicts emerge during training, resulting in negative transfer among them. Earlier research identified these conflicting gradients in shared parameters between tasks and att...
[ { "created": "Wed, 5 Jun 2024 06:52:29 GMT", "version": "v1" } ]
2024-06-06
[ [ "Jeong", "Wooseong", "" ], [ "Yoon", "Kuk-Jin", "" ] ]
2406.03030
Ali Malik
Ali Malik, Stephen Mayhew, Chris Piech, Klinton Bicknell
From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation
null
In Findings of the Association for Computational Linguistics (ACL 2024)
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
We study the problem of controlling the difficulty level of text generated by Large Language Models (LLMs) for contexts where end-users are not fully proficient, such as language learners. Using a novel framework, we evaluate the effectiveness of several key approaches for this task, including few-shot prompting, sup...
[ { "created": "Wed, 5 Jun 2024 07:57:17 GMT", "version": "v1" } ]
2024-06-06
[ [ "Malik", "Ali", "" ], [ "Mayhew", "Stephen", "" ], [ "Piech", "Chris", "" ], [ "Bicknell", "Klinton", "" ] ]
2406.03117
Zhixun He
Zhixun He and Mukesh Singhal
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise
8 pages, 6 figures
2024 7th International Conference on Machine Vision and Applications (ICMVA)
10.1145/3653946.3653957
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deep Neural Networks (DNN) have become a promising paradigm when developing Artificial Intelligence (AI) and Machine Learning (ML) applications. However, DNN applications are vulnerable to fake data that are crafted with adversarial attack algorithms. Under adversarial attacks, the prediction accuracy of DNN applicat...
[ { "created": "Wed, 5 Jun 2024 10:10:03 GMT", "version": "v1" } ]
2024-06-06
[ [ "He", "Zhixun", "" ], [ "Singhal", "Mukesh", "" ] ]
2406.03194
Moises Diaz
Moises Diaz, Gioele Crispo, Antonio Parziale, Angelo Marcelli, Miguel A. Ferrer
Writing Order Recovery in Complex and Long Static Handwriting
null
International Journal of Interactive Multimedia and Artificial Intelligence, Volume 7, number 4, Pages 171-184, 2022
10.9781/ijimai.2021.04.003
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
The order in which the trajectory is executed is a powerful source of information for recognizers. However, there is still no general approach for recovering the trajectory of complex and long handwriting from static images. Complex specimens can result in multiple pen-downs and in a high number of trajectory crossin...
[ { "created": "Wed, 5 Jun 2024 12:23:17 GMT", "version": "v1" } ]
2024-06-06
[ [ "Diaz", "Moises", "" ], [ "Crispo", "Gioele", "" ], [ "Parziale", "Antonio", "" ], [ "Marcelli", "Angelo", "" ], [ "Ferrer", "Miguel A.", "" ] ]
2406.03221
Pierre Nugues
Pierre Nugues
Linking Named Entities in Diderot's \textit{Encyclop\'edie} to Wikidata
6 pages, 3 figures
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 10610--10615
null
null
cs.CL cs.IR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Diderot's \textit{Encyclop\'edie} is a reference work from XVIIIth century in Europe that aimed at collecting the knowledge of its era. \textit{Wikipedia} has the same ambition with a much greater scope. However, the lack of digital connection between the two encyclopedias may hinder their comparison and the study of...
[ { "created": "Wed, 5 Jun 2024 13:00:04 GMT", "version": "v1" } ]
2024-06-06
[ [ "Nugues", "Pierre", "" ] ]
2406.03245
Aakash Gautam
Aakash Gautam
Reconfiguring Participatory Design to Resist AI Realism
6 pages, 1 table
Participatory Design Conference 2024
10.1145/3661455.3669867
null
cs.HC cs.AI cs.SI
http://creativecommons.org/licenses/by/4.0/
The growing trend of artificial intelligence (AI) as a solution to social and technical problems reinforces AI Realism -- the belief that AI is an inevitable and natural order. In response, this paper argues that participatory design (PD), with its focus on democratic values and processes, can play a role in question...
[ { "created": "Wed, 5 Jun 2024 13:21:46 GMT", "version": "v1" }, { "created": "Sat, 8 Jun 2024 18:19:00 GMT", "version": "v2" } ]
2024-06-11
[ [ "Gautam", "Aakash", "" ] ]
2406.03359
Cristhian David Forigua Diaz
Cristhian Forigua, Maria Escobar and Pablo Arbelaez
SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
null
7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
10.1007/978-3-031-16980-9_13
null
eess.IV cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper presents a novel framework for processing volumetric medical information using Visual Transformers (ViTs). First, We extend the state-of-the-art Swin Transformer model to the 3D medical domain. Second, we propose a new approach for processing volumetric information and encoding position in ViTs for 3D appl...
[ { "created": "Wed, 5 Jun 2024 15:14:29 GMT", "version": "v1" } ]
2024-06-06
[ [ "Forigua", "Cristhian", "" ], [ "Escobar", "Maria", "" ], [ "Arbelaez", "Pablo", "" ] ]
2406.03388
Joaquim Jorge
Alexandre Duarte, Francisco Fernandes, Jo\~ao M. Pereira, Catarina Moreira, Jacinto C. Nascimento, Joaquim Jorge
SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors
13pp, 5 figures, 1 table
Journal of Real-Time Image Processing 2024
10.1007/s11554-024-01491-z
null
cs.CV cs.AI cs.HC
http://creativecommons.org/licenses/by-sa/4.0/
Depth maps produced by consumer-grade sensors suffer from inaccurate measurements and missing data from either system or scene-specific sources. Data-driven denoising algorithms can mitigate such problems. However, they require vast amounts of ground truth depth data. Recent research has tackled this limitation using...
[ { "created": "Wed, 5 Jun 2024 15:38:02 GMT", "version": "v1" } ]
2024-07-04
[ [ "Duarte", "Alexandre", "" ], [ "Fernandes", "Francisco", "" ], [ "Pereira", "João M.", "" ], [ "Moreira", "Catarina", "" ], [ "Nascimento", "Jacinto C.", "" ], [ "Jorge", "Joaquim", "" ] ]
2406.03470
Zekai Xu
Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang and Zhezhi He
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
* These authors contributed equally to this work
International Conference on Machine Learning 2024
null
null
cs.NE cs.AI
http://creativecommons.org/licenses/by/4.0/
Spiking neural network (SNN) has attracted great attention due to its characteristic of high efficiency and accuracy. Currently, the ANN-to-SNN conversion methods can obtain ANN on-par accuracy SNN with ultra-low latency (8 time-steps) in CNN structure on computer vision (CV) tasks. However, as Transformer-based netw...
[ { "created": "Wed, 5 Jun 2024 17:24:07 GMT", "version": "v1" } ]
2024-08-21
[ [ "You", "Kang", "" ], [ "Xu", "Zekai", "" ], [ "Nie", "Chen", "" ], [ "Deng", "Zhijie", "" ], [ "Guo", "Qinghai", "" ], [ "Wang", "Xiang", "" ], [ "He", "Zhezhi", "" ] ]
2406.03512
Nicolas Michael M\"uller
Nicolas M. M\"uller, Nicholas Evans, Hemlata Tak, Philip Sperl, Konstantin B\"ottinger
Harder or Different? Understanding Generalization of Audio Deepfake Detection
null
Interspeech 2024
null
null
cs.SD cs.AI eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent research has highlighted a key issue in speech deepfake detection: models trained on one set of deepfakes perform poorly on others. The question arises: is this due to the continuously improving quality of Text-to-Speech (TTS) models, i.e., are newer DeepFakes just 'harder' to detect? Or, is it because deepfak...
[ { "created": "Wed, 5 Jun 2024 10:33:15 GMT", "version": "v1" }, { "created": "Fri, 7 Jun 2024 13:53:07 GMT", "version": "v2" }, { "created": "Wed, 12 Jun 2024 16:54:01 GMT", "version": "v3" } ]
2024-06-13
[ [ "Müller", "Nicolas M.", "" ], [ "Evans", "Nicholas", "" ], [ "Tak", "Hemlata", "" ], [ "Sperl", "Philip", "" ], [ "Böttinger", "Konstantin", "" ] ]
2406.03556
Utsab Saha
Utsab Saha, Sawradip Saha, Shaikh Anowarul Fattah, and Mohammad Saquib
Npix2Cpix: A GAN-Based Image-to-Image Translation Network With Retrieval- Classification Integration for Watermark Retrieval From Historical Document Images
null
IEEE Access 12 (2024) 95857-95870
10.1109/ACCESS.2024.3424662
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The identification and restoration of ancient watermarks have long been a major topic in codicology and history. Classifying historical documents based on watermarks is challenging due to their diversity, noisy samples, multiple representation modes, and minor distinctions between classes and intra-class variations. ...
[ { "created": "Wed, 5 Jun 2024 18:10:49 GMT", "version": "v1" }, { "created": "Wed, 24 Jul 2024 18:50:51 GMT", "version": "v2" }, { "created": "Mon, 16 Sep 2024 05:14:14 GMT", "version": "v3" } ]
2024-09-17
[ [ "Saha", "Utsab", "" ], [ "Saha", "Sawradip", "" ], [ "Fattah", "Shaikh Anowarul", "" ], [ "Saquib", "Mohammad", "" ] ]
2406.03665
Jihyeon Seong
Jihyeon Seong, Sekwang Oh, Jaesik Choi
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
18 pages, 11 figures
IJCAI 2024
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Trend filtering simplifies complex time series data by applying smoothness to filter out noise while emphasizing proximity to the original data. However, existing trend filtering methods fail to reflect abrupt changes in the trend due to `approximateness,' resulting in constant smoothness. This approximateness unifor...
[ { "created": "Thu, 6 Jun 2024 00:50:22 GMT", "version": "v1" } ]
2024-07-12
[ [ "Seong", "Jihyeon", "" ], [ "Oh", "Sekwang", "" ], [ "Choi", "Jaesik", "" ] ]
2406.03859
Moises Diaz
Miguel A. Ferrer, Josep A. Calduch-Giner, Moises D\'iaz, Javier Sosa, Enrique Rosell-Moll, Judith Santana Abril, Graciela Santana Sosa, Tom\'as Bautista Delgado, Cristina Carmona, Juan Antonio Martos-Sitcha, Enric Cabruja, Juan Manuel Afonso, Aurelio Vega, Manuel Lozano, Juan Antonio Montiel-Nelson, Jaume P\'er...
From operculum and body tail movements to different coupling of physical activity and respiratory frequency in farmed gilthead sea bream and European sea bass. Insights on aquaculture biosensing
null
Computers and Electronics in Agriculture, col.175,pp.105531,2020
10.1016/j.compag.2020.105531
null
cs.CV q-bio.PE
http://creativecommons.org/licenses/by-nc-nd/4.0/
The AEFishBIT tri-axial accelerometer was externally attached to the operculum to assess the divergent activity and respiratory patterns of two marine farmed fish, the gilthead sea bream (Sparus aurata) and European sea bass (Dicentrarchus labrax). Analysis of raw data from exercised fish highlighted the large amplit...
[ { "created": "Thu, 6 Jun 2024 08:46:00 GMT", "version": "v1" } ]
2024-06-07
[ [ "Ferrer", "Miguel A.", "" ], [ "Calduch-Giner", "Josep A.", "" ], [ "Díaz", "Moises", "" ], [ "Sosa", "Javier", "" ], [ "Rosell-Moll", "Enrique", "" ], [ "Abril", "Judith Santana", "" ], [ "Sosa", "Graciela San...
2406.03881
Matthias Sperber
Matthias Sperber, Ond\v{r}ej Bojar, Barry Haddow, D\'avid Javorsk\'y, Xutai Ma, Matteo Negri, Jan Niehues, Peter Pol\'ak, Elizabeth Salesky, Katsuhito Sudoh, Marco Turchi
Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation
LREC-COLING2024 publication (with corrections for Table 3)
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human evaluation is a critical component in machine translation system development and has received much attention in text translation research. However, little prior work exists on the topic of human evaluation for speech translation, which adds additional challenges such as noisy data and segmentation mismatches. W...
[ { "created": "Thu, 6 Jun 2024 09:18:42 GMT", "version": "v1" } ]
2024-06-07
[ [ "Sperber", "Matthias", "" ], [ "Bojar", "Ondřej", "" ], [ "Haddow", "Barry", "" ], [ "Javorský", "Dávid", "" ], [ "Ma", "Xutai", "" ], [ "Negri", "Matteo", "" ], [ "Niehues", "Jan", "" ], [ "Polák",...
2406.03897
Tzuf Paz-Argaman
Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, and Reut Tsarfaty
HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew
null
ACL 2024 Findings
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
While large language models (LLMs) excel in various natural language tasks in English, their performance in lower-resourced languages like Hebrew, especially for generative tasks such as abstractive summarization, remains unclear. The high morphological richness in Hebrew adds further challenges due to the ambiguity ...
[ { "created": "Thu, 6 Jun 2024 09:36:14 GMT", "version": "v1" }, { "created": "Mon, 10 Jun 2024 05:45:25 GMT", "version": "v2" } ]
2024-06-11
[ [ "Paz-Argaman", "Tzuf", "" ], [ "Mondshine", "Itai", "" ], [ "Mordechai", "Asaf Achi", "" ], [ "Tsarfaty", "Reut", "" ] ]
2406.03901
Adrian Galdran
Adrian Galdran
Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks
null
NMI, Vol. 1 No. 1 (2021): MedAI: Transparency in Medical Image Segmentation
10.5617/nmi.9107
null
eess.IV cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
This paper describes a solution for the MedAI competition, in which participants were required to segment both polyps and surgical instruments from endoscopic images. Our approach relies on a double encoder-decoder neural network which we have previously applied for polyp segmentation, but with a series of enhancemen...
[ { "created": "Thu, 6 Jun 2024 09:37:46 GMT", "version": "v1" } ]
2024-06-07
[ [ "Galdran", "Adrian", "" ] ]
2406.03984
Sofija Engelson
Sofija Engelson, Jan Ehrhardt, Timo Kepp, Joshua Niemeijer and Heinz Handels
LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas
Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2024:009
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
10.59275/j.melba.2024-009
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The evaluation of lymph node metastases plays a crucial role in achieving precise cancer staging, influencing subsequent decisions regarding treatment options. Lymph node detection poses challenges due to the presence of unclear boundaries and the diverse range of sizes and morphological characteristics, making it a ...
[ { "created": "Thu, 6 Jun 2024 11:57:25 GMT", "version": "v1" } ]
2024-06-07
[ [ "Engelson", "Sofija", "" ], [ "Ehrhardt", "Jan", "" ], [ "Kepp", "Timo", "" ], [ "Niemeijer", "Joshua", "" ], [ "Handels", "Heinz", "" ] ]
2406.03986
Ankan Mullick
Ankan Mullick, Sombit Bose, Rounak Saha, Ayan Kumar Bhowmick, Pawan Goyal, Niloy Ganguly, Prasenjit Dey, Ravi Kokku
On The Persona-based Summarization of Domain-Specific Documents
null
ACL 2024 Findings (Association for Computational Linguistics)
null
null
cs.CL cs.IR
http://creativecommons.org/publicdomain/zero/1.0/
In an ever-expanding world of domain-specific knowledge, the increasing complexity of consuming, and storing information necessitates the generation of summaries from large information repositories. However, every persona of a domain has different requirements of information and hence their summarization. For example...
[ { "created": "Thu, 6 Jun 2024 12:00:41 GMT", "version": "v1" } ]
2024-06-10
[ [ "Mullick", "Ankan", "" ], [ "Bose", "Sombit", "" ], [ "Saha", "Rounak", "" ], [ "Bhowmick", "Ayan Kumar", "" ], [ "Goyal", "Pawan", "" ], [ "Ganguly", "Niloy", "" ], [ "Dey", "Prasenjit", "" ], [ "K...
2406.04050
Thomas Schmitt
Thomas H. Schmitt, Maximilian Bundscherer and Tobias Bocklet
Semmeldetector: Application of Machine Learning in Commercial Bakeries
null
2023 International Conference on Machine Learning and Applications (ICMLA), IEEE, 2023, pp. 878-883
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
The Semmeldetector, is a machine learning application that utilizes object detection models to detect, classify and count baked goods in images. Our application allows commercial bakers to track unsold baked goods, which allows them to optimize production and increase resource efficiency. We compiled a dataset compri...
[ { "created": "Thu, 6 Jun 2024 13:17:24 GMT", "version": "v1" } ]
2024-06-07
[ [ "Schmitt", "Thomas H.", "" ], [ "Bundscherer", "Maximilian", "" ], [ "Bocklet", "Tobias", "" ] ]
2406.04101
Yihang Chen
Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai
How Far Can We Compress Instant-NGP-Based NeRF?
Project Page: https://yihangchen-ee.github.io/project_cnc/ Code: https://github.com/yihangchen-ee/cnc/. We further propose a 3DGS compression method HAC, which is based on CNC: https://yihangchen-ee.github.io/project_hac/
CVPR 2024
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, Neural Radiance Field (NeRF) has demonstrated remarkable capabilities in representing 3D scenes. To expedite the rendering process, learnable explicit representations have been introduced for combination with implicit NeRF representation, which however results in a large storage space requirement. In...
[ { "created": "Thu, 6 Jun 2024 14:16:03 GMT", "version": "v1" } ]
2024-06-07
[ [ "Chen", "Yihang", "" ], [ "Wu", "Qianyi", "" ], [ "Harandi", "Mehrtash", "" ], [ "Cai", "Jianfei", "" ] ]
2406.04109
Adil Soubki
Adil Soubki and Owen Rambow
Intention and Face in Dialog
null
May 2024. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 9143-9153, Torino, Italia. ELRA and ICCL
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The notion of face described by Brown and Levinson (1987) has been studied in great detail, but a critical aspect of the framework, that which focuses on how intentions mediate the planning of turns which impose upon face, has received far less attention. We present an analysis of three computational systems trained ...
[ { "created": "Thu, 6 Jun 2024 14:26:35 GMT", "version": "v1" } ]
2024-06-07
[ [ "Soubki", "Adil", "" ], [ "Rambow", "Owen", "" ] ]
2406.04624
Vipin Venugopal
Vipin V
Image Processing Based Forest Fire Detection
9 pages
International Journal of Emerging Technology and Advanced Engineering, 2(2), 87-95 (2012)
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
A novel approach for forest fire detection using image processing technique is proposed. A rule-based color model for fire pixel classification is used. The proposed algorithm uses RGB and YCbCr color space. The advantage of using YCbCr color space is that it can separate the luminance from the chrominance more effec...
[ { "created": "Fri, 7 Jun 2024 04:11:45 GMT", "version": "v1" } ]
2024-06-10
[ [ "V", "Vipin", "" ] ]
2406.04713
Benjamin Miller
Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M Wood
FlowMM: Generating Materials with Riemannian Flow Matching
https://github.com/facebookresearch/flowmm
ICML 2024
null
null
cs.LG cond-mat.mtrl-sci cs.AI physics.comp-ph stat.ML
http://creativecommons.org/licenses/by/4.0/
Crystalline materials are a fundamental component in next-generation technologies, yet modeling their distribution presents unique computational challenges. Of the plausible arrangements of atoms in a periodic lattice only a vanishingly small percentage are thermodynamically stable, which is a key indicator of the ma...
[ { "created": "Fri, 7 Jun 2024 07:46:23 GMT", "version": "v1" } ]
2024-06-10
[ [ "Miller", "Benjamin Kurt", "" ], [ "Chen", "Ricky T. Q.", "" ], [ "Sriram", "Anuroop", "" ], [ "Wood", "Brandon M", "" ] ]
2406.05443
Asmaa Benchama
Asmaa Benchama, Khalid Zebbara
Novel Approach to Intrusion Detection: Introducing GAN-MSCNN-BILSTM with LIME Predictions
null
Data and Metadata, 2023 Dec. 28
10.56294/dm2023202
null
cs.CR cs.AI cs.NI
http://creativecommons.org/licenses/by/4.0/
This paper introduces an innovative intrusion detection system that harnesses Generative Adversarial Networks (GANs), Multi-Scale Convolutional Neural Networks (MSCNNs), and Bidirectional Long Short-Term Memory (BiLSTM) networks, supplemented by Local Interpretable Model-Agnostic Explanations (LIME) for interpretabil...
[ { "created": "Sat, 8 Jun 2024 11:26:44 GMT", "version": "v1" } ]
2024-06-11
[ [ "Benchama", "Asmaa", "" ], [ "Zebbara", "Khalid", "" ] ]
2406.05506
Lior Limonad
Fabiana Fournier, Lior Limonad, Inna Skarbovsky
Towards a Benchmark for Causal Business Process Reasoning with LLMs
12 pages, 1 figure
NLP4BPM workshop at BPM 2024
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) are increasingly used for boosting organizational efficiency and automating tasks. While not originally designed for complex cognitive processes, recent efforts have further extended to employ LLMs in activities such as reasoning, planning, and decision-making. In business processes, such...
[ { "created": "Sat, 8 Jun 2024 16:10:53 GMT", "version": "v1" }, { "created": "Tue, 16 Jul 2024 15:48:32 GMT", "version": "v2" } ]
2024-08-13
[ [ "Fournier", "Fabiana", "" ], [ "Limonad", "Lior", "" ], [ "Skarbovsky", "Inna", "" ] ]
2406.05535
Junqi Gao
Junqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li, Yuming Xing, Dazhi Zhang
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
null
Advances in Neural Information Processing Systems 36, 2023
null
null
cs.LG cs.AI cs.CR
http://creativecommons.org/licenses/by-nc-sa/4.0/
The transferability of adversarial perturbations provides an effective shortcut for black-box attacks. Targeted perturbations have greater practicality but are more difficult to transfer between models. In this paper, we experimentally and theoretically demonstrated that neural networks trained on the same dataset ha...
[ { "created": "Sat, 8 Jun 2024 17:33:23 GMT", "version": "v1" } ]
2024-06-11
[ [ "Gao", "Junqi", "" ], [ "Qi", "Biqing", "" ], [ "Li", "Yao", "" ], [ "Guo", "Zhichang", "" ], [ "Li", "Dong", "" ], [ "Xing", "Yuming", "" ], [ "Zhang", "Dazhi", "" ] ]