Paul Liang
Paul Liang
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
MultiBench
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
awesome-phd-advice
Collection of advice for prospective and current PhD students
LG-FedAvg
[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
MFN
[AAAI 2018] Memory Fusion Network for Multi-view Sequential Learning
factorized
[ICLR 2019] Learning Factorized Multimodal Representations
LM_bias
[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
MultiViz
[ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models
sent_debias
[ACL 2020] Towards Debiasing Sentence Representations