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← Core AI
Artificial Intelligence
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Core AI
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Multimodal Learning
13,057 papers
Papers per year
2003: 1
2006: 3
2007: 6
2008: 2
2009: 5
2010: 2
2011: 3
2012: 6
2013: 24
2014: 20
2015: 46
2016: 109
2017: 205
2018: 299
2019: 622
2020: 675
2021: 987
2022: 1084
2023: 1697
2024: 2500
2025: 3654
2026: 1107
Papers
Identifying robust markers of Parkinson’s disease in typing behaviour using a CNN-LSTM network
EMNLP 2020
ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT
EMNLP 2020
On Task-Level Dialogue Composition of Generative Transformer Model
EMNLP 2020
Layout-Aware Text Representations Harm Clustering Documents by Type
EMNLP 2020
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition
EMNLP 2020
Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data
EMNLP 2020
Towards End-to-End In-Image Neural Machine Translation
EMNLP 2020
Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo
EMNLP 2020
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes
EMNLP 2020
CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization
EMNLP 2020
They Are Not All Alike: Answering Different Spatial Questions Requires Different Grounding Strategies
EMNLP 2020
Retouchdown: Releasing Touchdown on StreetLearn as a Public Resource for Language Grounding Tasks in Street View
EMNLP 2020
End-to-End Extraction of Structured Information from Business Documents with Pointer-Generator Networks
EMNLP 2020
A comparison between CNNs and WFAs for Sequence Classification
EMNLP 2020
Towards Multimodal Simultaneous Neural Machine Translation
EMNLP 2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
ICML 2020
Lorentz Group Equivariant Neural Network for Particle Physics
ICML 2020
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
ICML 2020
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
ICML 2020
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
ICML 2020
Generating Programmatic Referring Expressions via Program Synthesis
ICML 2020
Entropy Minimization In Emergent Languages
ICML 2020
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
ICML 2020
Voice Separation with an Unknown Number of Multiple Speakers
ICML 2020
NetGAN without GAN: From Random Walks to Low-Rank Approximations
ICML 2020
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