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Does my multimodal model learn cross-modal interactions? It's harder to
  tell than you might think!

Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!

13 October 2020
Jack Hessel
Lillian Lee
ArXivPDFHTML

Papers citing "Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!"

12 / 12 papers shown
Title
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
Michal Golovanevsky
William Rudman
Vedant Palit
Ritambhara Singh
Carsten Eickhoff
31
1
0
24 Jun 2024
It's Never Too Late: Fusing Acoustic Information into Large Language
  Models for Automatic Speech Recognition
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
Chen Chen
Ruizhe Li
Yuchen Hu
Sabato Marco Siniscalchi
Pin-Yu Chen
Ensiong Chng
Chao-Han Huck Yang
24
19
0
08 Feb 2024
Measuring and Improving Attentiveness to Partial Inputs with
  Counterfactuals
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
Yanai Elazar
Bhargavi Paranjape
Hao Peng
Sarah Wiegreffe
Khyathi Raghavi
Vivek Srikumar
Sameer Singh
Noah A. Smith
AAML
OOD
21
0
0
16 Nov 2023
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation
Hong Li
Xingyu Li
Pengbo Hu
Yinuo Lei
Chunxiao Li
Yi Zhou
28
20
0
15 Aug 2023
Dissecting Multimodality in VideoQA Transformer Models by Impairing
  Modality Fusion
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
Isha Rawal
Alexander Matyasko
Shantanu Jaiswal
Basura Fernando
Cheston Tan
16
1
0
15 Jun 2023
Borrowing Human Senses: Comment-Aware Self-Training for Social Media
  Multimodal Classification
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification
Chunpu Xu
Jing Li
VLM
13
5
0
27 Mar 2023
Beyond Triplet: Leveraging the Most Data for Multimodal Machine
  Translation
Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation
Yaoming Zhu
Zewei Sun
Shanbo Cheng
Yuyang Huang
Liwei Wu
Mingxuan Wang
21
10
0
20 Dec 2022
SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation
  of Individual Modalities
SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities
Pengbo Hu
Xingyu Li
Yi Zhou
17
10
0
30 Apr 2022
MERLOT Reserve: Neural Script Knowledge through Vision and Language and
  Sound
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound
Rowan Zellers
Jiasen Lu
Ximing Lu
Youngjae Yu
Yanpeng Zhao
Mohammadreza Salehi
Aditya Kusupati
Jack Hessel
Ali Farhadi
Yejin Choi
26
207
0
07 Jan 2022
M5Product: Self-harmonized Contrastive Learning for E-commercial
  Multi-modal Pretraining
M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining
Xiao Dong
Xunlin Zhan
Yangxin Wu
Yunchao Wei
Michael C. Kampffmeyer
Xiaoyong Wei
Minlong Lu
Yaowei Wang
Xiaodan Liang
25
36
0
09 Sep 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Zetian Wu
Yun Cheng
...
Peter Wu
Michelle A. Lee
Yuke Zhu
Ruslan Salakhutdinov
Louis-Philippe Morency
VLM
21
158
0
15 Jul 2021
Good for Misconceived Reasons: An Empirical Revisiting on the Need for
  Visual Context in Multimodal Machine Translation
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation
Zhiyong Wu
Lingpeng Kong
W. Bi
Xiang Li
B. Kao
LRM
15
76
0
30 May 2021
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