research
∙
05/25/2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
In Continual Learning (CL), a model is required to learn a stream of tas...
share
research
∙
05/24/2023
Lightweight Learner for Shared Knowledge Lifelong Learning
In Lifelong Learning (LL), agents continually learn as they encounter ne...
research
∙
05/21/2023
Reproducibility Requires Consolidated Artifacts
Machine learning is facing a 'reproducibility crisis' where a significan...
research
∙
11/26/2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network
Transformations in the input space of Deep Neural Networks (DNN) lead to...
research
∙
03/15/2022
Implicit Feature Decoupling with Depthwise Quantization
Quantization has been applied to multiple domains in Deep Neural Network...
research
∙
12/01/2021
Graph Conditioned Sparse-Attention for Improved Source Code Understanding
Transformer architectures have been successfully used in learning source...
research
∙
11/17/2021
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization
As opposed to natural languages, source code understanding is influenced...
research
∙
03/16/2021
Learning Hyperbolic Representations of Topological Features
Learning task-specific representations of persistence diagrams is an imp...
research
∙
04/11/2020
