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Data Analytics and Intelligence Research (DAIR) Group, IIT Delhi's Projects

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Source code for the paper Neural Learning One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces

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Working directory for the paper Neural Learning One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces

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This repository contains all source files corresponding to a novel MDP Planner - which combines abstractions/symmteries and UCT

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BossNet: Disentangling Language and Knowledge in Task Oriented Dialogs

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Official Repo for "Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images"

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Code for Paper "Block Value Symmetries in Probabilistic Graphical Models". Gagan Madan, Ankit Anand, Mausam, Parag Singla. Conference on Uncertainty in Artificial Intelligence (UAI). Monterey, CA, USA. August 2018.

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This Repository houses the code used in the paper "Coarse-to-Fine Lifted MAP Inference in Computer Vision". Haroun Habeeb, Ankit Anand, Mausam, Parag Singla. International Joint Conference on Artificial Intelligence (IJCAI). Melbourne, Australia. August 2017.

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CaRB - A Crowdsourced Benchmark for Open IE

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CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion

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This repository maintains code base for contextual symmeties framework! "Contextual Symmetries in Graphical Models" Ankit Anand, Aditya Grover, Mausam and Parag Singla , International Joint Conference on Artificial Intelligence (IJCAI). New York, NY. July 2016.

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Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'

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Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"

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Code Repository for the Explanations for CommonsenseQA, ACL 2021 paper

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Dataaset Release for Explanations for CommonsenseQA, ACL 2021 Paper

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Code for the paper "FlexAE: Flexibly Learning Latent Priors for Wasserstein Auto-Encoders"

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Code for "End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs"

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official repo for the NeurIPS 2022 paper "A Solver-Free Framework for Scalable Learning in Neural ILP Architectures"

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Neural generation model for Open Information Extraction

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