deepai - Robuta Search

https://deepai.org/ DeepAI Artificially intelligent tools for naturally creative humans. deepai https://deepai.org/publication/landmark-based-plan-recognition Landmark-Based Plan Recognition | DeepAI Apr 5, 2016 - 04/05/16 - Recognition of goals and plans using incomplete evidence from action execution can be done efficiently by using planning technique... landmark based plan recognition deepai https://deepai.org/profile/zhaohui-yang Zhaohui Yang | DeepAI Read Zhaohui Yang's latest research, browse their coauthor's research, and play around with their algorithms yang deepai https://deepai.org/publication/translating-hanja-historical-documents-to-understandable-korean-and-english Translating Hanja historical documents to understandable Korean and English | DeepAI May 20, 2022 - 05/20/22 - The Annals of Joseon Dynasty (AJD) contain the daily records of the Kings of Joseon, the 500-year kingdom preceding the modern nat... korean and english historical documents translating hanja understandable https://deepai.org/publication/understanding-categorizing-and-predicting-semantic-image-text-relations Understanding, Categorizing and Predicting Semantic Image-Text Relations | DeepAI Jun 20, 2019 - 06/20/19 - Two modalities are often used to convey information in a complementary and beneficial manner, e.g., in online news, videos, educat... image text understanding categorizing predicting semantic https://deepai.org/profile/tobias-geimer Tobias Geimer | DeepAI Read Tobias Geimer's latest research, browse their coauthor's research, and play around with their algorithms tobias deepai https://deepai.org/publication/network-capacity-enhancement-with-various-link-rewiring-strategies Network capacity enhancement with various link rewiring strategies | DeepAI Nov 15, 2018 - 11/15/18 - The structure of the network has a great impact on its traffic dynamics. Most of the real world networks follow heterogeneous stru... network capacity enhancement various rewiring strategies https://deepai.org/publication/on-polynomial-kernels-for-traveling-salesperson-problem-and-its-generalizations On Polynomial Kernels for Traveling Salesperson Problem and its Generalizations | DeepAI Jul 3, 2022 - 07/03/22 - For many problems, the important instances from practice possess certain structure that one should reflect in the design of specif... traveling salesperson problem polynomial kernels https://deepai.org/profile/kaiquan-wu Kaiquan Wu | DeepAI Read Kaiquan Wu's latest research, browse their coauthor's research, and play around with their algorithms wu deepai https://api.deepai.org/publication/a-class-of-geometric-structures-in-transfer-learning-minimax-bounds-and-optimality A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality | DeepAI Feb 23, 2022 - 02/23/22 - We study the problem of transfer learning, observing that previous efforts to understand its information-theoretic limits do not f... https://deepai.org/profile/kun-lin Kun Lin | DeepAI Read Kun Lin's latest research, browse their coauthor's research, and play around with their algorithms kun lin deepai https://deepai.org/publication/curbscan-curb-detection-and-tracking-using-multi-sensor-fusion CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion | DeepAI Oct 9, 2020 - 10/09/20 - Reliable curb detection is critical for safe autonomous driving in urban contexts. Curb detection and tracking are also useful in ... detection and tracking multi sensor curb using fusion https://deepai.org/publication/visual-cues-in-estimation-of-part-to-whole-comparison Visual cues in estimation of part-to-whole comparison | DeepAI Aug 1, 2019 - 08/01/19 - Pie charts were first published in 1801 by William Playfair and have caused some controversy since. Despite the suggestions of man... visual cues estimation part whole comparison https://deepai.org/profile/seiichi-kuroki Seiichi Kuroki | DeepAI Read Seiichi Kuroki's latest research, browse their coauthor's research, and play around with their algorithms kuroki deepai https://deepai.org/profile/guohai-xu Guohai Xu | DeepAI Read Guohai Xu's latest research, browse their coauthor's research, and play around with their algorithms xu deepai https://deepai.org/profile/bijan-a-niknam Bijan A. Niknam | DeepAI Read Bijan A. Niknam's latest research, browse their coauthor's research, and play around with their algorithms bijan deepai https://deep.ai/publication/natural-language-generation-for-non-expert-users Natural Language Generation for Non-Expert Users | DeepAI Sep 18, 2019 - 09/18/19 - Motivated by the difficulty in presenting computational results, especially when the results are a collection of atoms in a logica... natural language generation expert users non deepai https://deep.ai/profile/douglas-n-greve Douglas N. Greve | DeepAI Read Douglas N. Greve's latest research, browse their coauthor's research, and play around with their algorithms douglas n greve deepai https://deepai.org/profile/mark-thomas Mark Thomas | DeepAI Read Mark Thomas's latest research, browse their coauthor's research, and play around with their algorithms mark thomas deepai https://deepai.org/publication/robust-dynamic-network-embedding-via-ensembles Robust Dynamic Network Embedding via Ensembles | DeepAI May 30, 2021 - 05/30/21 - Dynamic Network Embedding (DNE) has recently attracted considerable attention due to the advantage of network embedding in various... robust dynamic network embedding via https://api.deepai.org/profile/gary-s-w-goh Gary S. W. Goh | DeepAI Read Gary S. W. Goh's latest research, browse their coauthor's research, and play around with their algorithms gary s w goh deepai https://deepai.org/publication/regularized-bridge-type-estimation-with-multiple-penalties Regularized Bridge-type estimation with multiple penalties | DeepAI Oct 16, 2020 - 10/16/20 - The aim of this paper is to introduce an adaptive penalized estimator for identifying the true reduced parametric model under the ... bridge type estimation multiple penalties deepai https://deepai.org/profile/florian-angermeir Florian Angermeir | DeepAI Read Florian Angermeir's latest research, browse their coauthor's research, and play around with their algorithms florian angermeir deepai https://deepai.org/profile/dhaval-adjodah Dhaval Adjodah | DeepAI Read Dhaval Adjodah's latest research, browse their coauthor's research, and play around with their algorithms deepai https://api.deepai.org/profile/ruoyun-chen Ruoyun Chen | DeepAI Read Ruoyun Chen's latest research, browse their coauthor's research, and play around with their algorithms chen deepai https://deepai.org/profile/sanjay-s-srivatsa Sanjay S. Srivatsa | DeepAI Read Sanjay S. Srivatsa's latest research, browse their coauthor's research, and play around with their algorithms sanjay deepai https://deepai.org/profile/jianzong-wang Jianzong Wang | DeepAI Read Jianzong Wang's latest research, browse their coauthor's research, and play around with their algorithms jianzong wang deepai https://api.deepai.org/publication/cross-modal-asr-post-processing-system-for-error-correction-and-utterance-rejection Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection | DeepAI Jan 10, 2022 - 01/10/22 - Although modern automatic speech recognition (ASR) systems can achieve high performance, they may produce errors that weaken reade... https://api.deepai.org/publication/object-aware-regularization-for-addressing-causal-confusion-in-imitation-learning Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning | DeepAI Oct 27, 2021 - 10/27/21 - Behavioral cloning has proven to be effective for learning sequential decision-making policies from expert demonstrations. However... imitation learning object aware regularization addressing https://deepai.org/profile/jules-m-moualeu Jules M. Moualeu | DeepAI Read Jules M. Moualeu's latest research, browse their coauthor's research, and play around with their algorithms jules deepai https://deepai.org/profile/changqian-yu Changqian Yu | DeepAI Read Changqian Yu's latest research, browse their coauthor's research, and play around with their algorithms yu deepai https://deepai.org/profile/quim-motger Quim Motger | DeepAI Read Quim Motger's latest research, browse their coauthor's research, and play around with their algorithms quim deepai https://deepai.org/publication/improving-generation-quality-of-pointer-networks-via-guided-attention Improving generation quality of pointer networks via guided attention | DeepAI Jan 20, 2019 - 01/20/19 - Pointer generator networks have been used successfully for abstractive summarization. Along with the capability to generate novel ... improving generation quality pointer networks https://deepai.org/publication/looking-at-hands-in-autonomous-vehicles-a-convnet-approach-using-part-affinity-fields Looking at Hands in Autonomous Vehicles: A ConvNet Approach using Part Affinity Fields | DeepAI Apr 3, 2018 - 04/03/18 - In the context of autonomous driving, where humans may need to take over in the event where the computer may issue a takeover requ... https://perchance-ai.net/free-ai-tools/deepai DeepAI: Explore Free AI Tools for Chat, Images, Video, and Music Discover powerful AI tools for chat, image, video, and music generation. Explore features like text-to-image, image editing, and more at DeepAI. explore free ai tools deepai https://deepai.org/profile/badraddin-alturki Badraddin Alturki | DeepAI Read Badraddin Alturki's latest research, browse their coauthor's research, and play around with their algorithms deepai https://deepai.org/publication/incremental-learning-of-high-level-concepts-by-imitation Incremental learning of high-level concepts by imitation | DeepAI Apr 14, 2017 - 04/14/17 - Nowadays, robots become a companion in everyday life. To be well-accepted by humans, robots should efficiently understand meanings... incremental learning high level concepts imitation deepai https://deepai.org/profile/arash-asadi Arash Asadi | DeepAI Read Arash Asadi's latest research, browse their coauthor's research, and play around with their algorithms arash deepai https://deepai.org/profile/changhun-jung Changhun Jung | DeepAI Read Changhun Jung's latest research, browse their coauthor's research, and play around with their algorithms jung deepai https://deepai.org/profile/charles-riou Charles Riou | DeepAI Read Charles Riou's latest research, browse their coauthor's research, and play around with their algorithms charles riou deepai https://deep.ai/publication/data-representativeness-in-accessibility-datasets-a-meta-analysis Data Representativeness in Accessibility Datasets: A Meta-Analysis | DeepAI Jul 16, 2022 - 07/16/22 - As data-driven systems are increasingly deployed at scale, ethical concerns have arisen around unfair and discriminatory outcomes ... meta analysis data representativeness accessibility deepai https://deepai.org/profile/rui-zhou Rui Zhou | DeepAI Read Rui Zhou's latest research, browse their coauthor's research, and play around with their algorithms rui zhou deepai https://deepai.org/publication/deep-transfer-learning-for-cross-domain-activity-recognition Deep Transfer Learning for Cross-domain Activity Recognition | DeepAI Jul 20, 2018 - 07/20/18 - Human activity recognition plays an important role in people's daily life. However, it is often expensive and time-consuming to ac... transfer learning cross domain activity recognition deep https://deepai.org/publication/not-all-samples-are-created-equal-deep-learning-with-importance-sampling Not All Samples Are Created Equal: Deep Learning with Importance Sampling | DeepAI Mar 2, 2018 - 03/02/18 - Deep neural network training spends most of the computation on examples that are properly handled, and could be ignored. We prop... not all created equal https://deepai.org/publication/anomaly-aware-multiple-instance-learning-for-rare-anemia-disorder-classification Anomaly-aware multiple instance learning for rare anemia disorder classification | DeepAI Jul 4, 2022 - 07/04/22 - Deep learning-based classification of rare anemia disorders is challenged by the lack of training data and instance-level annotati... anomaly aware multiple instance learning https://deepai.org/profile/jiatao-ding Jiatao Ding | DeepAI Read Jiatao Ding's latest research, browse their coauthor's research, and play around with their algorithms ding deepai https://deepai.org/profile/zhouyu-zhang Zhouyu Zhang | DeepAI Read Zhouyu Zhang's latest research, browse their coauthor's research, and play around with their algorithms zhang deepai https://deepai.org/profile/nikolaos-nikolaou Nikolaos Nikolaou | DeepAI Nikolaos (Nikos) Nikolaou is a Senior Research Fellow at the University College London. His work currently focuses on machine learning methods -- with an... nikolaos deepai https://deepai.org/publication/fair-and-efficient-allocations-without-obvious-manipulations Fair and Efficient Allocations Without Obvious Manipulations | DeepAI Jun 22, 2022 - 06/22/22 - We consider the fundamental problem of allocating a set of indivisible goods among strategic agents with additive valuation functi... fair efficient allocations without obvious https://api.deepai.org/profile/likang-wu Likang Wu | DeepAI Read Likang Wu's latest research, browse their coauthor's research, and play around with their algorithms wu deepai https://cdnjs.deepai.org/publication/improving-chinese-story-generation-via-awareness-of-syntactic-dependencies-and-semantics Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics | DeepAI Oct 19, 2022 - 10/19/22 - Story generation aims to generate a long narrative conditioned on a given input. In spite of the success of prior works with the a... chinese story https://api.deepai.org/profile/gerardo-schneider Gerardo Schneider | DeepAI Read Gerardo Schneider's latest research, browse their coauthor's research, and play around with their algorithms gerardo schneider deepai https://deep.ai/publication/a-policy-based-security-architecture-for-software-defined-networks A Policy based Security Architecture for Software Defined Networks | DeepAI Jun 6, 2018 - 06/06/18 - As networks expand in size and complexity, they pose greater administrative and management challenges. Software Defined Networks (... software defined networks security architecture policy based deepai https://deepai.org/publication/the-multi-event-class-synchronization-mecs-algorithm The Multi-Event-Class Synchronization (MECS) Algorithm | DeepAI Mar 22, 2019 - 03/22/19 - Synchronization is a fundamental component of computational models of human behavior, at both intra-personal and inter-personal le... multi event class synchronization mecs algorithm https://deepai.org/profile/or-ordentlich Or Ordentlich | DeepAI Read Or Ordentlich's latest research, browse their coauthor's research, and play around with their algorithms deepai https://deepai.org/profile/nilanjana-laha Nilanjana Laha | DeepAI Read Nilanjana Laha's latest research, browse their coauthor's research, and play around with their algorithms deepai https://api.deepai.org/publication/monotonic-properties-of-completed-aggregates-in-recursive-queries Monotonic Properties of Completed Aggregates in Recursive Queries | DeepAI Oct 20, 2019 - 10/20/19 - The use of aggregates in recursion enables efficient and scalable support for a wide range of BigData algorithms, including those ... recursive queries monotonic properties completed aggregates https://deepai.com/profile/massimo-melucci Massimo Melucci | DeepAI Read Massimo Melucci's latest research, browse their coauthor's research, and play around with their algorithms massimo deepai https://deepai.org/profile/josef-teichmann Josef Teichmann | DeepAI Read Josef Teichmann's latest research, browse their coauthor's research, and play around with their algorithms josef deepai https://deepai.org/publication/nano-scale-reservoir-computing Nano-scale reservoir computing | DeepAI Sep 6, 2013 - 09/06/13 - This work describes preliminary steps towards nano-scale reservoir computing using quantum dots. Our research has focused on the d... nano scale reservoir computing deepai https://deepai.org/publication/orthogonal-trace-sum-maximization-applications-local-algorithms-and-global-optimality Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality | DeepAI Nov 8, 2018 - 11/08/18 - This paper studies a problem of maximizing the sum of traces of matrix quadratic forms on a product of Stiefel manifolds. This ort... orthogonal trace sum maximization applications https://deepai.org/publication/predator-prey-survival-pressure-is-sufficient-to-evolve-swarming-behaviors Predator-prey survival pressure is sufficient to evolve swarming behaviors | DeepAI Aug 24, 2023 - 08/24/23 - The comprehension of how local interactions arise in global collective behavior is of utmost importance in both biological and phy... predator prey survival pressure https://cdnjs.deepai.org/profile/freddie-kalaitzis Freddie Kalaitzis | DeepAI Read Freddie Kalaitzis's latest research, browse their coauthor's research, and play around with their algorithms freddie deepai https://deepai.org/profile/neil-agarwal Neil Agarwal | DeepAI Read Neil Agarwal's latest research, browse their coauthor's research, and play around with their algorithms neil agarwal deepai https://deepai.org/publication/motion-bias-free-feature-based-slam Motion-Bias-Free Feature-Based SLAM | DeepAI Sep 13, 2023 - 09/13/23 - For SLAM to be safely deployed in unstructured real world environments, it must possess several key properties that are not encomp... motion bias free feature based https://api.deepai.org/profile/pradeep-ravikumar Pradeep Ravikumar | DeepAI Associate Professor, School of Computer Science, Carnegie Mellon University pradeep ravikumar deepai https://deepai.org/publication/tree-exploration-in-dual-memory-model Tree exploration in dual-memory model | DeepAI Dec 26, 2021 - 12/26/21 - We study the problem of online tree exploration by a deterministic mobile agent. Our main objective is to establish what features ... memory model tree exploration dual deepai https://deepai.org/publication/edge-exchangeable-graphs-and-sparsity Edge-exchangeable graphs and sparsity | DeepAI Mar 22, 2016 - 03/22/16 - A known failing of many popular random graph models is that the Aldous-Hoover Theorem guarantees these graphs are dense with proba... edge graphs sparsity deepai https://deepai.org/profile/lifeng-zhou Lifeng Zhou | DeepAI Read Lifeng Zhou's latest research, browse their coauthor's research, and play around with their algorithms zhou deepai https://deepai.org/profile/philip-j-ball Philip J. Ball | DeepAI Read Philip J. Ball's latest research, browse their coauthor's research, and play around with their algorithms j ball philip deepai https://deepai.org/publication/exact-gap-between-generalization-error-and-uniform-convergence-in-random-feature-models Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models | DeepAI Mar 8, 2021 - 03/08/21 - Recent work showed that there could be a large gap between the classical uniform convergence bound and the actual test error of ze... https://deepai.org/publication/when-are-learned-models-better-than-hash-functions When Are Learned Models Better Than Hash Functions? | DeepAI Jul 3, 2021 - 07/03/21 - In this work, we aim to study when learned models are better hash functions, particular for hash-maps. We use lightweight piece-wi... when are better than hash functions learned models https://deepai.org/profile/fabio-pinelli Fabio Pinelli | DeepAI Read Fabio Pinelli's latest research, browse their coauthor's research, and play around with their algorithms fabio deepai https://deepai.com/profile/renzhe-xu Renzhe Xu | DeepAI Read Renzhe Xu's latest research, browse their coauthor's research, and play around with their algorithms xu deepai https://deepai.org/publication/what-do-compressed-large-language-models-forget-robustness-challenges-in-model-compression What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression | DeepAI Oct 16, 2021 - 10/16/21 - Recent works have focused on compressing pre-trained language models (PLMs) like BERT where the major focus has been to improve th... large language models https://deepai.org/publication/otb-morph-one-time-biometrics-via-morphing OTB-morph: One-Time Biometrics via Morphing | DeepAI Feb 17, 2023 - 02/17/23 - Cancelable biometrics are a group of techniques to transform the input biometric to an irreversible feature intentionally using a ... one time otb morph biometrics via https://deepai.org/profile/xiaohan-zou Xiaohan Zou | DeepAI Read Xiaohan Zou's latest research, browse their coauthor's research, and play around with their algorithms zou deepai https://deepai.org/publication/towards-weakly-supervised-text-spotting-using-a-multi-task-transformer Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer | DeepAI Feb 11, 2022 - 02/11/22 - Text spotting end-to-end methods have recently gained attention in the literature due to the benefits of jointly optimizing the te... multi task towards supervised text spotting https://deepai.org/profile/lizhi-wang Lizhi Wang | DeepAI Read Lizhi Wang's latest research, browse their coauthor's research, and play around with their algorithms lizhi wang deepai https://deep.ai/profile/changyou-chen Changyou Chen | DeepAI Assistant Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York chen deepai https://api.deepai.org/profile/zehao-huang Zehao Huang | DeepAI Read Zehao Huang's latest research, browse their coauthor's research, and play around with their algorithms huang deepai https://deep.ai/profile/dan-klein Dan Klein | DeepAI Chief Scientist at Semantic Machines and Professor at UC Berkeley dan klein deepai https://deepai.org/profile/alan-mishler Alan Mishler | DeepAI Read Alan Mishler's latest research, browse their coauthor's research, and play around with their algorithms alan mishler deepai https://deepai.org/profile/lhassane-idoumghar Lhassane Idoumghar | DeepAI Read Lhassane Idoumghar's latest research, browse their coauthor's research, and play around with their algorithms deepai https://deepai.org/profile/bojian-hou Bojian Hou | DeepAI Read Bojian Hou's latest research, browse their coauthor's research, and play around with their algorithms hou deepai https://deepai.com/publication/living-a-discrete-life-in-a-continuous-world-reference-with-distributed-representations Living a discrete life in a continuous world: Reference with distributed representations | DeepAI Feb 6, 2017 - 02/06/17 - Reference is a crucial property of language that allows us to connect linguistic expressions to the world. Modeling it requires ha... https://deepai.org/profile/oliwier-kaszyca Oliwier Kaszyca | DeepAI Read Oliwier Kaszyca's latest research, browse their coauthor's research, and play around with their algorithms deepai https://deepai.org/publication/paradise-exploiting-parallel-data-for-multilingual-sequence-to-sequence-pretraining PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining | DeepAI Aug 4, 2021 - 08/04/21 - Despite the success of multilingual sequence-to-sequence pretraining, most existing approaches rely on monolingual corpora, and do... paradise exploiting parallel data multilingual https://deepai.org/profile/shiva-taslimipoor Shiva Taslimipoor | DeepAI Read Shiva Taslimipoor's latest research, browse their coauthor's research, and play around with their algorithms shiva deepai https://deepai.org/publication/position-based-scaled-gradient-for-model-quantization-and-sparse-training Position-based Scaled Gradient for Model Quantization and Sparse Training | DeepAI May 22, 2020 - 05/22/20 - We propose the position-based scaled gradient (PSG) that scales the gradient depending on the position of a weight vector to make ... sparse training position based scaled gradient https://deepai.org/profile/pradeep-singh Pradeep Singh | DeepAI Read Pradeep Singh's latest research, browse their coauthor's research, and play around with their algorithms pradeep singh deepai https://deepai.org/profile/matteo-pagliardini Matteo Pagliardini | DeepAI National University of Singapore matteo deepai https://deep.ai/profile/danielle-bragg Danielle Bragg | DeepAI Read Danielle Bragg's latest research, browse their coauthor's research, and play around with their algorithms danielle bragg deepai https://deepai.org/publication/performance-evaluations-of-c-band-5g-nr-fr1-sub-6-ghz-uplink-mimo-on-urban-train Performance Evaluations of C-Band 5G NR FR1 (Sub-6 GHz) Uplink MIMO on Urban Train | DeepAI Dec 29, 2022 - 12/29/22 - Due to the recent demand for huge Uplink throughput on Mobile networks driven by the rapid development of social media platforms, ... https://deepai.org/profile/nancy-mcmillan Nancy McMillan | DeepAI Read Nancy McMillan's latest research, browse their coauthor's research, and play around with their algorithms nancy mcmillan deepai https://deep.ai/publication/low-resource-deep-entity-resolution-with-transfer-and-active-learning Low-resource Deep Entity Resolution with Transfer and Active Learning | DeepAI Jun 17, 2019 - 06/17/19 - Entity resolution (ER) is the task of identifying different representations of the same real-world entities across databases. It i... entity resolution active learning low resource deep https://deepai.org/publication/towards-solving-the-7-in-a-row-game Towards solving the 7-in-a-row game | DeepAI Jul 5, 2021 - 07/05/21 - Our paper explores the game theoretic value of the 7-in-a-row game. We reduce the problem to solving a finite board game, which we... in a row towards solving game deepai https://api.deepai.org/publication/planning-and-navigation-of-climbing-robots-in-low-gravity-environments Planning and Navigation of Climbing Robots in Low-Gravity Environments | DeepAI Mar 15, 2018 - 03/15/18 - Advances in planetary robotics have led to wheeled robots that have beamed back invaluable science data from the surface of the Mo... planning navigation climbing https://api.deepai.org/profile/prasad-krishnan Prasad Krishnan | DeepAI Read Prasad Krishnan's latest research, browse their coauthor's research, and play around with their algorithms prasad krishnan deepai https://deepai.org/profile/molin-zhang Molin Zhang | DeepAI Read Molin Zhang's latest research, browse their coauthor's research, and play around with their algorithms molin zhang deepai