Search Results for author:
Found 8 papers, 5 papers with code
MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning
The deep learning community has witnessed an exponentially growing interest in self-supervised learning (SSL).
Instance-based Learning for Knowledge Base Completion
In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL).
1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data
This paper details our participation in the Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE) workshop @ EMNLP 2022, where we take part in Subtask 1 of Shared Task 3.
1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector
In this paper, we present our approach and empirical observations for Cause-Effect Signal Span Detection -- Subtask 2 of Shared task 3~\cite{tan-etal-2022-event} at CASE 2022.
Open Rule Induction
One weakness of the previous rule induction systems is that they only find rules within a knowledge base (KB) and therefore cannot generalize to more open and complex real-world rules.
Enhancing Natural Language Representation with Large-Scale Out-of-Domain Commonsense
In this paper, we propose to use large-scale out-of-domain commonsense to enhance text representation.
Timely Broadcasting in Erasure Networks: Age-Rate Tradeoffs
The interplay between timeliness and rate efficiency is investigated in packet erasure broadcast channels with feedback.
Information Theory Social and Information Networks Systems and Control Systems and Control Information Theory
Real-time Sampling and Estimation on Random Access Channels: Age of Information and Beyond
It is shown that non-oblivious policies offer a multiplicative gain close to $3$ compared to oblivious policies.
