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acl-style-files

Official style files for papers submitted to venues of the Association for Computational Linguistics

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-phd-advice

Collection of advice for prospective and current PhD students

big-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

cmu-multibench.github.io

cmu-multimodalsdk

CMU MultimodalSDK provides tools to easily load well-known multimodal datasets such as CMU-MOSEI, CMU-MOSI, POM, and ICT-MMMO.

competitive-emergent-communication

[AAMAS 2020] On Emergent Communication in Competitive Multi-Agent Teams

factorcl

[NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

factorized

[ICLR 2019] Learning Factorized Multimodal Representations

highmmt

[TMLR 2022] High-Modality Multimodal Transformer

jmlr-coverletter

JMLR Cover Letter Template

jmlr-style-file

LaTeX style file for the Journal of Machine Learning Research

lg-fedavg

[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

lm-social-bias

lm_bias

[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

mfn

[AAAI 2018] Memory Fusion Network for Multi-view Sequential Learning

mmml-course

Course website for 11-777, Multimodal Machine Learning

multibench

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

multiviz

[ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models

pgm-spring-2019

Course webpage for PGM, Spring 2019.

pid

[NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions

sent_debias

[ACL 2020] Towards Debiasing Sentence Representations

sparse_discrete

[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies

workspace