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03/02/2023
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding
Fine-tuning is widely used as the default algorithm for transfer learnin...
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09/07/2022
Foundations and Recent Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Multimodal machine learning is a vibrant multi-disciplinary research fie...
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07/29/2022
Face-to-Face Contrastive Learning for Social Intelligence Question-Answering
Creating artificial social intelligence - algorithms that can understand...
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10/26/2021
Relay Variational Inference: A Method for Accelerated Encoderless VI
Variational Inference (VI) offers a method for approximating intractable...
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07/28/2021
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis
Multimodal sentiment analysis aims to extract and integrate semantic inf...
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01/03/2021
StarNet: Gradient-free Training of Deep Generative Models using Determined System of Linear Equations
In this paper we present an approach for training deep generative models...
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10/22/2020
MTGAT: Multimodal Temporal Graph Attention Networks for Unaligned Human Multimodal Language Sequences
Human communication is multimodal in nature; it is through multiple moda...
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07/07/2020
What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets
Question answering biases in video QA datasets can mislead multimodal mo...
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05/03/2020
Improving Aspect-Level Sentiment Analysis with Aspect Extraction
Aspect-based sentiment analysis (ABSA), a popular research area in NLP h...
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12/19/2019
Pseudo-Encoded Stochastic Variational Inference
Posterior inference in directed graphical models is commonly done using ...
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11/22/2019
Factorized Multimodal Transformer for Multimodal Sequential Learning
The complex world around us is inherently multimodal and sequential (con...
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11/21/2019
WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation
Monoaural audio source separation is a challenging research area in mach...
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08/15/2019
M-BERT: Injecting Multimodal Information in the BERT Structure
Multimodal language analysis is an emerging research area in natural lan...
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04/14/2019
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor
Humor is a unique and creative communicative behavior displayed during s...
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03/03/2019
Variational Auto-Decoder: Neural Generative Modeling from Partial Data
Learning a generative model from partial data (data with missingness) is...
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03/03/2019
Variational Auto-Decoder
Learning a generative model from partial data (data with missingness) is...
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11/23/2018
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors
Humans convey their intentions through the usage of both verbal and nonv...
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08/12/2018
Multimodal Language Analysis with Recurrent Multistage Fusion
Computational modeling of human multimodal language is an emerging resea...
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08/12/2018
Multimodal Local-Global Ranking Fusion for Emotion Recognition
Emotion recognition is a core research area at the intersection of artif...
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06/16/2018
Learning Factorized Multimodal Representations
Learning representations of multimodal data is a fundamentally complex r...
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05/31/2018
Efficient Low-rank Multimodal Fusion with Modality-Specific Factors
Multimodal research is an emerging field of artificial intelligence, and...
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02/03/2018
Memory Fusion Network for Multi-view Sequential Learning
Multi-view sequential learning is a fundamental problem in machine learn...
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02/03/2018
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning
With the increasing popularity of video sharing websites such as YouTube...
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02/03/2018
Multi-attention Recurrent Network for Human Communication Comprehension
Human face-to-face communication is a complex multimodal signal. We use ...
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07/23/2017
Tensor Fusion Network for Multimodal Sentiment Analysis
Multimodal sentiment analysis is an increasingly popular research area, ...
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05/08/2017
Combating Human Trafficking with Deep Multimodal Models
Human trafficking is a global epidemic affecting millions of people acro...
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11/26/2016
Convolutional Experts Constrained Local Model for Facial Landmark Detection
Constrained Local Models (CLMs) are a well-established family of methods...
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06/20/2016
