1 |
The "Fat Face" illusion: A robust adaptation for processing pairs of faces
|
|
|
|
In: ISSN: 0042-6989 ; EISSN: 0042-6989 ; Vision Research ; https://hal.archives-ouvertes.fr/hal-03579276 ; Vision Research, Elsevier, 2022, 195, pp.108015. ⟨10.1016/j.visres.2022.108015⟩ (2022)
|
|
BASE
|
|
Show details
|
|
2 |
Faculty of Arts Research Unit for Multilingualism and Cross- cultural Communication (RUMACCC) ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
EnvEdit: Environment Editing for Vision-and-Language Navigation ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Compilable Neural Code Generation with Compiler Feedback ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints ...
|
|
|
|
Abstract:
However, current autoregressive approaches suffer from high latency. In this paper, we focus on non-autoregressive translation (NAT) for this problem for its efficiency advantage. We identify that current constrained NAT models, which are based on iterative editing, do not handle low-frequency constraints well. To this end, we propose a plug-in algorithm for this line of work, i.e., Aligned Constrained Training (ACT), which alleviates this problem by familiarizing the model with the source-side context of the constraints. Experiments on the general and domain datasets show that our model improves over the backbone constrained NAT model in constraint preservation and translation quality, especially for rare constraints. ... : Accepted to NAACL 2022 ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://arxiv.org/abs/2204.13355 https://dx.doi.org/10.48550/arxiv.2204.13355
|
|
BASE
|
|
Hide details
|
|
10 |
An Adversarial Benchmark for Fake News Detection Models ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Processing Aspectual Agreement in a Language with Limited Morphological Inflection by Second Language Learners: An ERP Study of Mandarin Chinese
|
|
|
|
In: Brain Sciences; Volume 12; Issue 5; Pages: 524 (2022)
|
|
BASE
|
|
Show details
|
|
12 |
MEduKG: A Deep-Learning-Based Approach for Multi-Modal Educational Knowledge Graph Construction
|
|
|
|
In: Information; Volume 13; Issue 2; Pages: 91 (2022)
|
|
BASE
|
|
Show details
|
|
13 |
Rapid Identification of Patients Eligible for Direct Emergent Computed Tomography Angiography during Acute Ischemic Stroke: The DARE-PACE Assessment
|
|
|
|
In: Diagnostics; Volume 12; Issue 2; Pages: 511 (2022)
|
|
BASE
|
|
Show details
|
|
14 |
Addressing Syntax-Based Semantic Complementation: Incorporating Entity and Soft Dependency Constraints into Metonymy Resolution
|
|
|
|
In: Future Internet; Volume 14; Issue 3; Pages: 85 (2022)
|
|
BASE
|
|
Show details
|
|
15 |
Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification
|
|
|
|
In: Applied Sciences; Volume 12; Issue 4; Pages: 2185 (2022)
|
|
BASE
|
|
Show details
|
|
16 |
S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition
|
|
|
|
In: Sensors; Volume 22; Issue 8; Pages: 2852 (2022)
|
|
BASE
|
|
Show details
|
|
17 |
Students’ Attitudes and Competences in Modeling Using 3D Cartoon Toy Design Maker
|
|
|
|
In: Sustainability; Volume 14; Issue 4; Pages: 2176 (2022)
|
|
BASE
|
|
Show details
|
|
18 |
Cumulative Effects of Physical, Chemical, and Biological Measures on Algae Growth Inhibition
|
|
|
|
In: Water; Volume 14; Issue 6; Pages: 877 (2022)
|
|
BASE
|
|
Show details
|
|
19 |
Predicting the Success of Internet Social Welfare Crowdfunding Based on Text Information
|
|
|
|
In: Applied Sciences; Volume 12; Issue 3; Pages: 1572 (2022)
|
|
BASE
|
|
Show details
|
|
20 |
A Multitask Learning Framework for Abuse Detection and Emotion Classification
|
|
|
|
In: Algorithms; Volume 15; Issue 4; Pages: 116 (2022)
|
|
BASE
|
|
Show details
|
|
|
|