self attention - Robuta Search

https://openreview.net/forum?id=lcKTkZ1cykW&referrer=%5Bthe%20profile%20of%20Jinjing%20Shi%5D(%2Fprofile%3Fid%3D~Jinjing_Shi1) QSAN: A Near-term Achievable Quantum Self-Attention Network | OpenReview Self-Attention Mechanism (SAM) is good at capturing the internal connections of features and greatly improves the performance of machine learning models,... quantum self attention network qsan near term https://stackoverflow.blog/2024/09/26/masked-self-attention-how-llms-learn-relationships-between-tokens/ Masked self-attention: How LLMs learn relationships between tokens - Stack Overflow self attention masked llms https://aclanthology.org/D19-1610/ A Gated Self-attention Memory Network for Answer Selection - ACL Anthology Tuan Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th... self attention for answer gated memory https://storydiffusion.github.io/ StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation image and video self attention long range consistent https://openreview.net/forum?id=Jc65VYwYVB&referrer=%5Bthe%20profile%20of%20Andy%20T.%20Liu%5D(%2Fprofile%3Fid%3D~Andy_T._Liu1) Understanding Self-Attention of Self-Supervised Audio Transformers | OpenReview Self-supervised Audio Transformers (SAT) enable great success in many downstream speech applications like ASR, but how they work has not been widely explored... self attention audio transformers understanding supervised openreview https://openreview.net/forum?id=pKilnjQsb0 Implicit Bias and Fast Convergence Rates for Self-attention | OpenReview We study the fundamental optimization principles of self-attention, the defining mechanism of transformers, by analyzing the implicit bias of gradient-based... implicit bias fast convergence self attention rates openreview https://www.mdpi.com/2072-4292/13/16/3316 Self-Attention-Based Conditional Variational Auto-Encoder Generative Adversarial Networks for... Hyperspectral classification is an important technique for remote sensing image analysis. For the current classification methods, limited training data affect... self attention auto encoder adversarial networks based conditional https://www.amazon.science/publications/speaker-identification-for-household-scenarios-with-self-attention-and-adversarial-training Speaker identification for household scenarios with self-attention and adversarial training -... Speaker identification based on voice input is a fundamental capability in speech processing enabling versatile downstream applications, such as... speaker identification for household self attention scenarios https://easychair.org/publications/preprint/hJ53 Multi-Head Self-Attention and BGRU for Online Arabic Grapheme Text Segmentation multi head self attention https://deepai.org/publication/limits-to-depth-efficiencies-of-self-attention Limits to Depth Efficiencies of Self-Attention | DeepAI Jun 22, 2020 - 06/22/20 - Self-attention architectures, which are rapidly pushing the frontier in natural language processing, demonstrate a surprising dept... self attention limits depth efficiencies deepai https://openreview.net/forum?id=Hkldl7EfE4&referrer=%5Bthe%20profile%20of%20Daniel%20Andor%5D(%2Fprofile%3Fid%3D~Daniel_Andor1) Linguistically-Informed Self-Attention for Semantic Role Labeling | OpenReview semantic role labeling self attention linguistically informed openreview https://arxiv.org/abs/2505.21811?lang=en-US [2505.21811] Revisiting Self-attention for Cross-domain Sequential Recommendation Abstract page for arXiv paper 2505.21811: Revisiting Self-attention for Cross-domain Sequential Recommendation self attention cross domain 2505 revisiting sequential https://openreview.net/forum?id=pZCYG7gjkKz Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method | OpenReview Transformers are expensive to train due to the quadratic time and space complexity in the self-attention mechanism. On the other hand, although kernel machines... self attention gaussian kernel https://openreview.net/forum?id=JeLqFpFzwX&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICLR.cc%2F2025%2FConference%2FAuthors%23your-submissions) Self-Attention-Based Contextual Modulation Improves Neural System Identification | OpenReview Convolutional neural networks (CNNs) have been shown to be state-of-the-art models for visual cortical neurons. Cortical neurons in the primary visual cortex... self attention neural system based contextual modulation https://aclanthology.org/D18-1548/?ref=ruder.io Linguistically-Informed Self-Attention for Semantic Role Labeling - ACL Anthology Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum. Proceedings of the 2018 Conference on Empirical Methods in Natural Language... semantic role labeling self attention linguistically informed acl https://openreview.net/forum?id=WCKeq3QW3k Distance weighted self-attention for nonlocal density functional approximation by artificial neural... self attention https://aclanthology.org/2024.starsem-1.27/ Enhancing Self-Attention via Knowledge Fusion: Deriving Sentiment Lexical Attention from... Dongjun Jang, Jinwoong Kim, Hyopil Shin. Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024). 2024. self attention enhancing via knowledge fusion https://aclanthology.org/2022.coling-1.157/ Adaptive Threshold Selective Self-Attention for Chinese NER - ACL Anthology Biao Hu, Zhen Huang, Minghao Hu, Ziwen Zhang, Yong Dou. Proceedings of the 29th International Conference on Computational Linguistics. 2022. adaptive threshold self attention for chinese selective ner https://oecd.ai/en/catalogue/metric-use-cases/uniformer-unifying-convolution-and-self-attention-for-visual-recognition UniFormer: Unifying Convolution and Self-attention for Visual Recognition - OECD.AI The discrepancy between the cost function used for training a speech enhancement model and human auditory perception usually makes the quality of enhanced... self attention visual recognition uniformer convolution https://www.datacamp.com/id/blog/self-attention Self-Attention Explained: The Mechanism Powering Modern AI | DataCamp Discover how the self-attention mechanism revolutionized AI. Explore its mathematical foundations and applications, from GPT to Vision Transformers. self attention the mechanism modern ai explained powering https://www.datacamp.com/pl/blog/self-attention Self-Attention Explained: The Mechanism Powering Modern AI | DataCamp Discover how the self-attention mechanism revolutionized AI. Explore its mathematical foundations and applications, from GPT to Vision Transformers. self attention the mechanism modern ai explained powering https://deepai.org/publication/characterizing-speech-adversarial-examples-using-self-attention-u-net-enhancement Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement | DeepAI Mar 31, 2020 - 03/31/20 - Recent studies have highlighted adversarial examples as ubiquitous threats to the deep neural network (DNN) based speech recogniti... adversarial examples self attention u net speech using https://openreview.net/forum?id=ADl8dT8fKm RecurFormer: Not All Transformer Heads Need Self-Attention | OpenReview Transformer-based large language models (LLMs) excel in modeling complex language patterns but face significant computational costs during inference,... self attention transformer heads need openreview https://openreview.net/forum?id=HxN8K1esES Mimetic Initialization of Self-Attention Layers | OpenReview It is notoriously difficult to train Transformers on small datasets; typically, large pre-trained models are instead used as the starting point. We explore the... self attention mimetic initialization layers openreview https://www.datacamp.com/nl/blog/self-attention Self-Attention Explained: The Mechanism Powering Modern AI | DataCamp Discover how the self-attention mechanism revolutionized AI. Explore its mathematical foundations and applications, from GPT to Vision Transformers. self attention the mechanism modern ai explained powering https://www.amazon.science/publications/bridging-self-attention-and-time-series-decomposition-for-periodic-forecasting Bridging self-attention and time series decomposition for periodic forecasting - Amazon Science In this paper, we study how to capture explicit periodicity to boost the accuracy of deep models in univariate time series forecasting. Recent advanced deep... self attention time series https://www.codecademy.com/article/transformer-architecture-self-attention-mechanism Transformer Architecture Explained With Self-Attention Mechanism | Codecademy Learn the transformer architecture through visual diagrams, the self-attention mechanism, and practical examples. transformer architecture self attention explained mechanism codecademy https://openreview.net/forum?id=JkfYjnOEo6M Group Equivariant Stand-Alone Self-Attention For Vision | OpenReview We provide a general self-attention formulation to impose group equivariance to arbitrary symmetry groups. This is achieved by defining positional encodings... stand alone self attention group equivariant vision https://www.amazon.science/publications/conmer-streaming-conformer-without-self-attention-for-interactive-voice-assistants Conmer: Streaming Conformer without self-attention for interactive voice assistants - Amazon Science Conformer is an extension of transformer-based neural ASR models whose fundamental component is the self-attention module. In this paper, we show that we can... self attention https://www.datacamp.com/vi/blog/self-attention Self-Attention Explained: The Mechanism Powering Modern AI | DataCamp Discover how the self-attention mechanism revolutionized AI. Explore its mathematical foundations and applications, from GPT to Vision Transformers. self attention the mechanism modern ai explained powering https://www.datacamp.com/ja/blog/self-attention Self-Attention Explained: The Mechanism Powering Modern AI | DataCamp Discover how the self-attention mechanism revolutionized AI. Explore its mathematical foundations and applications, from GPT to Vision Transformers. self attention the mechanism modern ai explained powering https://deepai.org/publication/a-gated-self-attention-memory-network-for-answer-selection A Gated Self-attention Memory Network for Answer Selection | DeepAI Sep 13, 2019 - 09/13/19 - Answer selection is an important research problem, with applications in many areas. Previous deep learning based approaches for th... self attention for answer gated memory network https://hashnode.com/posts/understanding-self-attention-from-transformers-to-real-world-ai/69a9bd883728a9dc35984a1f Discussion on "Understanding Self-Attention: From Transformers to Real-World AI" | Hashnode Discussion on "Understanding Self-Attention: From Transformers to Real-World AI". In late 2017, a research paper titled Attention Is All You Need introduced a... self attention https://deepai.org/publication/self-attention-gazetteer-embeddings-for-named-entity-recognition Self-Attention Gazetteer Embeddings for Named-Entity Recognition | DeepAI Apr 8, 2020 - 04/08/20 - Recent attempts to ingest external knowledge into neural models for named-entity recognition (NER) have exhibited mixed results. I... named entity recognition self attention gazetteer embeddings deepai https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.948954/full Frontiers | A pagerank self-attention network for traffic flow prediction Traffic information is collected from sensors in the urban road network, and traffic information can be said to be a mapping of people's activities, which ar... self attention traffic flow frontiers pagerank network https://www.amazon.science/publications/psa-gan-progressive-self-attention-gans-for-synthetic-time-series PSA-GAN: Progressive self attention GANs for synthetic time series - Amazon Science Realistic synthetic time series data of sufficient length enables practical applications in time series modeling tasks, such as forecasting, but remains a... self attention https://research.google/pubs/understanding-self-attention-through-prompt-conditioned-markov-chains/ Understanding Self-Attention through Prompt-Conditioned Markov Chains self attention understanding prompt conditioned markov https://aclanthology.org/N19-1376/ Topic Spotting using Hierarchical Networks with Self Attention - ACL Anthology Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani, Mubbasir Kapadia. Proceedings of the 2019 Conference of the North American Chapter of the... topic spotting hierarchical networks self attention using acl https://aclanthology.org/P19-1295/ Leveraging Local and Global Patterns for Self-Attention Networks - ACL Anthology Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.... self attention leveraging local global patterns https://attentionaid.com/ ADHD test online | attention deficit disorder questionnaire | adhd self-report scale Explore our online ADHD test, a quick and confidential questionnaire designed to identify symptoms of Attention Deficit Hyperactivity Disorder in adults and... attention deficit disorder adhd test self report online questionnaire https://aclanthology.org/2025.findings-acl.1093/ Modal Dependency Parsing via Biaffine Attention with Self-Loop - ACL Anthology Jayeol Chun, Nianwen Xue. Findings of the Association for Computational Linguistics: ACL 2025. 2025. self loop modal dependency parsing via https://townhall.com/columnists/raymcfall/2017/01/03/europe-is-selfcorrecting-asia-needs-our-attention-n2266610 Europe Is Self-Correcting, Asia Needs our Attention Jan 3, 2017 - China's defense spending will balloon to $233 billion in 2020, up from $123 billion in 2010, and North Korea is testing nukes and ICBMs. europe self correcting asia needs https://www.benjaminmoore.com/en-us/new-entrepreneur-program-requirements Attention Innovators, Entrepreneurs & Self-Starters | Benjamin Moore If you have the ambition to grow or own your business, we are looking for continuous learners who are interested in working in partnership. self starters attention innovators entrepreneurs benjamin https://www.mdpi.com/1424-8220/22/12/4370 Deep Learning Approach to Impact Classification in Sensorized Panels Using Self-Attention This paper proposes a new method of impact classification for a Structural Health Monitoring system through the use of Self-Attention, the central building... deep learning https://openreview.net/forum?id=T3SstRu5fq PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising |... Although supervised image denoising networks have shown remarkable performance on synthesized noisy images, they often fail in practice due to the difference... https://www.mdpi.com/1424-8220/22/2/429 Vehicle Interaction Behavior Prediction with Self-Attention The structured road is a scene with high interaction between vehicles, but due to the high uncertainty of behavior, the prediction of vehicle interaction... vehicle interaction behavior prediction self https://deepai.org/publication/t-gsa-transformer-with-gaussian-weighted-self-attention-for-speech-enhancement T-GSA: Transformer with Gaussian-weighted self-attention for speech enhancement | DeepAI Oct 13, 2019 - 10/13/19 - Transformer neural networks (TNN) demonstrated state-of-art performance on many natural language processing (NLP) tasks, replacing... https://deepai.org/publication/lolep-single-view-view-synthesis-with-locally-learned-planes-and-self-attention-occlusion-inference LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion... Jul 23, 2023 - 07/23/23 - We propose a novel method, LoLep, which regresses Locally-Learned planes from a single RGB image to represent scenes accurately, t... single view https://deepai.org/publication/fov-net-field-of-view-extrapolation-using-self-attention-and-uncertainty FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty | DeepAI Apr 4, 2022 - 04/04/22 - The ability to make educated predictions about their surroundings, and associate them with certain confidence, is important for in... field of view https://pmc.ncbi.nlm.nih.gov/articles/PMC3513291/ Self-Awareness Without Awareness? Implicit Self-Focused Attention and Behavioral Self-Regulation -... Objective self-awareness theory contends that focusing attention on the self initiates an automatic comparison of self to standards. To gain evidence for... self awareness without implicit focused attention https://openreview.net/forum?id=GCViBBoVru&referrer=%5Bthe%20profile%20of%20Chenxi%20Liu%5D(%2Fprofile%3Fid%3D~Chenxi_Liu2) Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt | OpenReview Few-Shot Class-Incremental Learning (FSCIL) models aim to incrementally learn new classes with scarce samples while preserving knowledge of old ones. Existing... few shot incremental learning https://arxiv.org/abs/2504.15170 [2504.15170] HSANET: A Hybrid Self-Cross Attention Network For Remote Sensing Change Detection Abstract page for arXiv paper 2504.15170: HSANET: A Hybrid Self-Cross Attention Network For Remote Sensing Change Detection https://openreview.net/forum?id=cRhkoRvs1Z&referrer=%5Bthe%20profile%20of%20Yeying%20Jin%5D(%2Fprofile%3Fid%3D~Yeying_Jin2) DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity | OpenReview Removing soft and self shadows that lack clear boundaries from a single image is still challenging. Self shadows are shadows that are cast on the object...