Foundations & trends in multimodal machine learning: Principles, challenges, and open questions
Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design
computer agents with intelligent capabilities such as understanding, reasoning, and learning …
computer agents with intelligent capabilities such as understanding, reasoning, and learning …
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
PP Liang, A Zadeh, LP Morency - ar** the good and removing the bad momentum causal effect
As the class size grows, maintaining a balanced dataset across many classes is challenging
because the data are long-tailed in nature; it is even impossible when the sample-of-interest …
because the data are long-tailed in nature; it is even impossible when the sample-of-interest …
Causal intervention for weakly-supervised semantic segmentation
We present a causal inference framework to improve Weakly-Supervised Semantic
Segmentation (WSSS). Specifically, we aim to generate better pixel-level pseudo-masks by …
Segmentation (WSSS). Specifically, we aim to generate better pixel-level pseudo-masks by …
Towards artificial general intelligence via a multimodal foundation model
The fundamental goal of artificial intelligence (AI) is to mimic the core cognitive activities of
human. Despite tremendous success in the AI research, most of existing methods have only …
human. Despite tremendous success in the AI research, most of existing methods have only …
Multi-modal knowledge graph construction and application: A survey
Recent years have witnessed the resurgence of knowledge engineering which is featured
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …
Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system
The general aim of the recommender system is to provide personalized suggestions to
users, which is opposed to suggesting popular items. However, the normal training …
users, which is opposed to suggesting popular items. However, the normal training …
Good is bad: Causality inspired cloth-debiasing for cloth-changing person re-identification
Entangled representation of clothing and identity (ID)-intrinsic clues are potentially
concomitant in conventional person Re-IDentification (ReID). Nevertheless, eliminating the …
concomitant in conventional person Re-IDentification (ReID). Nevertheless, eliminating the …