Sanket Vaibhav Mehta | DeepAI

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∙ 04/29/2023

Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints

Self-training based on pseudo-labels has emerged as a dominant approach ...

0 Rajshekhar Das, et al. ∙

∙ 12/19/2022

DSI++: Updating Transformer Memory with New Documents

Differentiable Search Indices (DSIs) encode a corpus of documents in the...

0 Sanket Vaibhav Mehta, et al. ∙

∙ 07/10/2022

An Introduction to Lifelong Supervised Learning

This primer is an attempt to provide a detailed summary of the different...

21 Shagun Sodhani, et al. ∙

∙ 05/25/2022

Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models

Model compression by way of parameter pruning, quantization, or distilla...

0 Clara Na, et al. ∙

∙ 12/16/2021

An Empirical Investigation of the Role of Pre-training in Lifelong Learning

The lifelong learning paradigm in machine learning is an attractive alte...

5 Sanket Vaibhav Mehta, et al. ∙

∙ 10/16/2021

Improving Compositional Generalization with Self-Training for Data-to-Text Generation

Data-to-text generation focuses on generating fluent natural language re...

4 Sanket Vaibhav Mehta, et al. ∙

∙ 10/06/2020

Efficient Meta Lifelong-Learning with Limited Memory

Current natural language processing models work well on a single task, y...

0 Zirui Wang, et al. ∙

∙ 09/15/2019

Learning Rhyming Constraints using Structured Adversaries

Existing recurrent neural language models often fail to capture higher-l...

0 Harsh Jhamtani, et al. ∙

∙ 10/21/2018

Spatial Co-location Pattern Mining - A new perspective using Graph Database

Spatial co-location pattern mining refers to the task of discovering the...

0 Sanket Vaibhav Mehta, et al. ∙

∙ 08/28/2018

Towards Semi-Supervised Learning for Deep Semantic Role Labeling

Neural models have shown several state-of-the-art performances on Semant...

0 Sanket Vaibhav Mehta, et al. ∙

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