Copertina

An alternative formulation of attention pooling function in translation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Conti, Eddie
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Optimization and Control 68T01, 68T07
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Can Out-of-Distribution Evaluations Uncover Reliance on Shortcuts? A Case Study in Question Answering
di: Štefánik, Michal, et al.
Pubblicazione: (2025)

Localmax dynamics for attention in transformers and its asymptotic behavior
di: Cimetière, Henri, et al.
Pubblicazione: (2025)

Exact Sequence Interpolation with Transformers
di: Alcalde, Albert, et al.
Pubblicazione: (2025)

The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks
di: Mataigne, Simon, et al.
Pubblicazione: (2024)

Input Convex Kolmogorov Arnold Networks
di: Deschatre, Thomas, et al.
Pubblicazione: (2025)

Nesterov acceleration despite very noisy gradients
di: Gupta, Kanan, et al.
Pubblicazione: (2023)

Generative modeling of conditional probability distributions on the level-sets of collective variables
di: Akhyar, Fatima-Zahrae, et al.
Pubblicazione: (2025)

A Human-In-The-Loop Approach for Improving Fairness in Predictive Business Process Monitoring
di: Käppel, Martin, et al.
Pubblicazione: (2025)

Phase Matching for a Generalized Grover's Algorithm
di: Cardullo, Chris, et al.
Pubblicazione: (2026)

A network based approach for unbalanced optimal transport on surfaces
di: Pan, Jiangong, et al.
Pubblicazione: (2024)

Hybrid Ridgelet Deep Neural Networks for Data-Driven Arbitrage Strategies
di: Yadav, Bahadur, et al.
Pubblicazione: (2025)

Non-Asymptotic Analysis of Projected Gradient Descent for Physics-Informed Neural Networks
di: Nießen, Jonas, et al.
Pubblicazione: (2025)

Convexity and strict convexity for compositional neural networks in high-dimensional optimal control
di: Grüne, Lars, et al.
Pubblicazione: (2025)

Learning to Control the Smoothness of Graph Convolutional Network Features
di: Wang, Shih-Hsin, et al.
Pubblicazione: (2024)

Clustering in pure-attention hardmax transformers and its role in sentiment analysis
di: Alcalde, Albert, et al.
Pubblicazione: (2024)

Quantum-Inspired DRL Approach with LSTM and OU Noise for Cut Order Planning Optimization
di: Chrisnanto, Yulison Herry, et al.
Pubblicazione: (2025)

Roughness and entropy measures of a soft set
di: Acharjee, Santanu, et al.
Pubblicazione: (2026)

Explicit neural network classifiers for non-separable data
di: Ewald, Patrícia Muñoz
Pubblicazione: (2025)

Real-time processing of distributed acoustic sensing data for earthquake monitoring operations
di: Biondi, Ettore, et al.
Pubblicazione: (2025)

ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs
di: Dramko, Evan, et al.
Pubblicazione: (2025)

Normal forms in Virus Machines
di: Ramírez-de-Arellano, A., et al.
Pubblicazione: (2024)

Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis
di: Salehi, Pegah, et al.
Pubblicazione: (2024)

Optimal phase change for a generalized Grover's algorithm
di: Cardullo, Christopher, et al.
Pubblicazione: (2025)

Diagonal Linear Networks and the Lasso Regularization Path
di: Berthier, Raphaël
Pubblicazione: (2025)

A Generalization Bound for a Family of Implicit Networks
di: Fung, Samy Wu, et al.
Pubblicazione: (2024)

Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising
di: Gruber, Nadja, et al.
Pubblicazione: (2023)

A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers
di: Wang, Xiaoyu, et al.
Pubblicazione: (2024)

Learning to Remove Cuts in Integer Linear Programming
di: Puigdemont, Pol, et al.
Pubblicazione: (2024)

Supplementary Materials to Graph Convolutional Branch and Bound
di: Sciandra, Lorenzo, et al.
Pubblicazione: (2024)

Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks
di: Patel, Vivak, et al.
Pubblicazione: (2024)

Expansive Natural Neural Gradient Flows for Energy Minimization
di: Dahmen, Wolfgang, et al.
Pubblicazione: (2025)

Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics
di: Liu, Kang, et al.
Pubblicazione: (2024)

Stochastic Mirror Descent for Convex Optimization with Consensus Constraints
di: Borovykh, Anastasia, et al.
Pubblicazione: (2022)

A Unified Framework for Lifted Training and Inversion Approaches
di: Wang, Xiaoyu, et al.
Pubblicazione: (2025)

Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer
di: Li, Mingda, et al.
Pubblicazione: (2024)

Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
di: Liu, Linyu, et al.
Pubblicazione: (2024)

OPENXRD: A Comprehensive Benchmark Framework for LLM/MLLM XRD Question Answering
di: Vosoughi, Ali, et al.
Pubblicazione: (2025)

Pay Attention to What You Need
di: Gao, Yifei, et al.
Pubblicazione: (2023)

Graph Transformers: A Survey
di: Shehzad, Ahsan, et al.
Pubblicazione: (2024)

Reduced Order Modeling of Partial Differential Equations on Parameter-Dependent Domains Using Deep Neural Networks
di: Bukač, Martina, et al.
Pubblicazione: (2024)