research
∙
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 ...
share
research
∙
12/19/2022
DSI++: Updating Transformer Memory with New Documents
Differentiable Search Indices (DSIs) encode a corpus of documents in the...
research
∙
07/10/2022
An Introduction to Lifelong Supervised Learning
This primer is an attempt to provide a detailed summary of the different...
research
∙
05/25/2022
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models
Model compression by way of parameter pruning, quantization, or distilla...
research
∙
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...
research
∙
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...
research
∙
10/06/2020
Efficient Meta Lifelong-Learning with Limited Memory
Current natural language processing models work well on a single task, y...
research
∙
09/15/2019
Learning Rhyming Constraints using Structured Adversaries
Existing recurrent neural language models often fail to capture higher-l...
research
∙
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...
research
∙
08/28/2018
