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awesome-multimodal-ml
Reading list for research topics in multimodal machine learningawesome-phd-advice
Collection of advice for prospective and current PhD studentsMultiBench
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation LearningLG-FedAvg
[NeurIPS 2019 FL workshop] Federated Learning with Local and Global RepresentationsHighMMT
[TMLR 2022] High-Modality Multimodal TransformerMFN
[AAAI 2018] Memory Fusion Network for Multi-view Sequential LearningMultiViz
[ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Modelssent_debias
[ACL 2020] Towards Debiasing Sentence RepresentationsLM_bias
[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Modelsfactorized
[ICLR 2019] Learning Factorized Multimodal RepresentationsPID
[NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal InteractionsHEMM
Holistic evaluation of multimodal foundation modelsCompetitive-Emergent-Communication
[AAMAS 2020] On Emergent Communication in Competitive Multi-Agent Teamssparse_discrete
[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabulariesmmml-course
Course website for 11-777, Multimodal Machine Learningworkspace
lm-social-bias
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