Attempt in using structured prediction on the OCR dataset
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Updated
Jan 17, 2019 - Python
Attempt in using structured prediction on the OCR dataset
Official code for k-experts - Online Policies and Fundamental Limits, AISTATS 2022
A plug-and-play adapter architecture that efficiently adapts large language models to downstream tasks. Essential for client-server architecture language model services. A practical approach to adapting LLMs' hidden activations without modifying the base model.
Submission titled Non-neural Structured Prediction for Event Detection from News in Indian Languages for EDNIL 2020 - Event Detection from News in Indian Languages
Library for morphological inflection of any language.
Machine Learning Algorithms and other related practice problems
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 for solving the metabolite identification problem.
Official implementation of "24-bit Languages" (AACL'23)
Image Segmentation by Iterative Inference from Conditional Score Estimation
Code accompanying the paper "Globally Optimal Learning for Structured Elliptical Losses", published at NeurIPS 2019
The Structured Weighted Violation MIRA
Must-read papers for unsupervised structured prediction
TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
Code for the ICML 2021 paper "Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization" by Sang Michael Xie, Tengyu Ma, Percy Liang
Stock Price Change Direction Prediction
A Structured Span Selector (NAACL 2022). A structured span selector with a WCFG for span selection tasks (coreference resolution, semantic role labelling, etc.)
Machine learning algorithms for structured inputs and outputs, such as on OCR and voice-to-text data.
Code for "An Empirical Investigation of Beam-Aware Training in Supertagging" to appear in EMNLP Findings 2020
Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT library (Python Optimal Transport).
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