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Name: Paul Liang
Type: User
Company: Massachusetts Institute of Technology
Bio: Assistant Professor, MIT
Twitter: pliang279
Location: Cambridge, MA
Name: Paul Liang
Type: User
Company: Massachusetts Institute of Technology
Bio: Assistant Professor, MIT
Twitter: pliang279
Location: Cambridge, MA
Official style files for papers submitted to venues of the Association for Computational Linguistics
Reading list for research topics in multimodal machine learning
Collection of advice for prospective and current PhD students
A collection of works that investigate social agents, simulations and their real-world impact in text, embodied, and robotics contexts.
Beyond the Imitation Game collaborative benchmark for enormous language models
CMU MultimodalSDK provides tools to easily load well-known multimodal datasets such as CMU-MOSEI, CMU-MOSI, POM, and ICT-MMMO.
[AAMAS 2020] On Emergent Communication in Competitive Multi-Agent Teams
[NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
[ICLR 2019] Learning Factorized Multimodal Representations
Holistic evaluation of multimodal foundation models
[TMLR 2022] High-Modality Multimodal Transformer
JMLR Cover Letter Template
LaTeX style file for the Journal of Machine Learning Research
[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
[AAAI 2018] Memory Fusion Network for Multi-view Sequential Learning
Course website for 11-777, Multimodal Machine Learning
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
[ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models
Course webpage for PGM, Spring 2019.
[NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions
[ACL 2020] Towards Debiasing Sentence Representations
[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.