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07/05/2023
Exploring Continual Learning for Code Generation Models
Large-scale code generation models such as Codex and CodeT5 have achieve...
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06/02/2023
Resolving Interference When Merging Models
Transfer learning - i.e., further fine-tuning a pre-trained model on a d...
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05/11/2023
Self-Chained Image-Language Model for Video Localization and Question Answering
Recent studies have shown promising results on utilizing pre-trained ima...
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10/18/2022
Exclusive Supermask Subnetwork Training for Continual Learning
Continual Learning (CL) methods mainly focus on avoiding catastrophic fo...
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04/11/2022
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning
Pre-trained sequence-to-sequence language models have led to widespread ...
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11/01/2021
Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions
The problem of identifying algorithmic recourse for people affected by m...
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06/02/2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
We focus on a type of linguistic formal reasoning where the goal is to r...
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04/15/2021
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Recent commonsense-reasoning tasks are typically discriminative in natur...
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01/24/2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Predicting properties of nodes in a graph is an important problem with a...
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09/12/2018
Graph Convolutional Networks based Word Embeddings
Recently, word embeddings have been widely adopted across several NLP ap...
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09/07/2018
HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification
Graph-based semi-supervised learning (SSL) is an important learning prob...
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05/29/2018