rajevv

DeepSentiPeer

Code for Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions [ACL'19]

FACT-1

Code for NeurIPS Reproducibility Challenge 2020 [ReScience-C]

Infersent

Implementation of Infersent [Course project]

Multi_L2D

Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]

OvA-L2D

Code for Calibrated Learning to Defer with One vs All Classifiers [ICML'22]

rajevv/Multi_L2D

Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]

rajevv/DeepSentiPeer

Code for Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions [ACL'19]

rajevv/OvA-L2D

Code for Calibrated Learning to Defer with One vs All Classifiers [ICML'22]

rajevv/rajevv.github.io

Academic Website

rajevv/FACT-1

Code for NeurIPS Reproducibility Challenge 2020 [ReScience-C]

rajevv/Infersent

Implementation of Infersent [Course project]

rajevv/Advanced-Computer-Vision

Advanced Computer Vision (CSIE 7421) in NTU

rajevv/aritzzz

Config files for my GitHub profile.

rajevv/ATCS

Studying negative interference in Meta Learning (Course Project)

rajevv/BitcoinCommunity

rajevv/CitationSentiment

rajevv/colorQ

Basic Color Compression of Image using K-means

rajevv/course-v3

The 3rd edition of course.fast.ai

rajevv/Deep-Learning-Coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

rajevv/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

rajevv/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

rajevv/fairseq-gec

Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

rajevv/gradguide

A guide on STEM PhD admissions

rajevv/Jalpc

🍎Jalpc -- A flexible Jekyll theme, 3 steps to build your website.

rajevv/KRLPapers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

rajevv/KRR-course-2021

Materials for 2021 edition of the course 'Knowledge Representation and Reasoning'

rajevv/learn-to-defer

Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)

rajevv/node2vec

rajevv/nodeEmb

Neural Graph Model

rajevv/NRLPapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

rajevv/RC-2020

Editorial venue for ML Reproducibility Challenge 2020 Accepted papers

rajevv/Scope

rajevv/SMILES2020

Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of August

rajevv/Testing

rajevv/VITutorial

This repository stores slides for a tutorial on variational inference for NLP audiences.