research
∙
04/04/2023
REFINER: Reasoning Feedback on Intermediate Representations
Language models (LMs) have recently shown remarkable performance on reas...
share
research
∙
10/13/2022
Language Model Decoding as Likelihood-Utility Alignment
A critical component of a successful language generation pipeline is the...
research
∙
05/23/2022
Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation
Federated Learning by nature is susceptible to low-quality, corrupted, o...
research
∙
05/13/2022
Interlock-Free Multi-Aspect Rationalization for Text Classification
Explanation is important for text classification tasks. One prevalent ty...
research
∙
05/05/2022
Assistive Recipe Editing through Critiquing
There has recently been growing interest in the automatic generation of ...
research
∙
04/05/2022
Positive and Negative Critiquing for VAE-based Recommenders
Providing explanations for recommended items allows users to refine the ...
research
∙
08/28/2021
Representation Memorization for Fast Learning New Knowledge without Forgetting
The ability to quickly learn new knowledge (e.g. new classes or data dis...
research
∙
08/28/2021
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
As the labeling cost for different modules in task-oriented dialog (ToD)...
research
∙
08/26/2021
SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling
Utterance-level intent detection and token-level slot filling are two ke...
research
∙
07/13/2021
Multi-Step Critiquing User Interface for Recommender Systems
Recommendations with personalized explanations have been shown to increa...
research
∙
06/10/2021
Achieving Diverse Objectives with AI-driven Prices in Deep Reinforcement Learning Multi-agent Markets
We propose a practical approach to computing market prices and allocatio...
research
∙
05/11/2021
Rationalization through Concepts
Automated predictions require explanations to be interpretable by humans...
research
∙
05/09/2021
Improving Multi-agent Coordination by Learning to Estimate Contention
We present a multi-agent learning algorithm, ALMA-Learning, for efficien...
research
∙
05/03/2021
Fast Multi-Step Critiquing for VAE-based Recommender Systems
Recent studies have shown that providing personalized explanations along...
research
∙
02/03/2021
Improved Cooperation by Exploiting a Common Signal
Can artificial agents benefit from human conventions? Human societies ma...
research
∙
01/13/2021
Towards Mobile Distributed Ledgers
Advances in mobile computing have paved the way for new types of distrib...
research
∙
11/16/2020
Differential Privacy Meets Maximum-weight Matching
When it comes to large-scale multi-agent systems with a diverse set of a...
research
∙
10/02/2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
Natural language generation (NLG) is an essential component of task-orie...
research
∙
09/19/2020
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context
Simulating online recommender system performance is notoriously difficul...
research
∙
09/10/2020
Momentum-based Gradient Methods in Multi-objective Recommender Systems
Multi-objective gradient methods are becoming the standard for solving m...
research
∙
09/09/2020
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm
The goal of fairness in classification is to learn a classifier that doe...
research
∙
07/23/2020
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
Session-based recommendation has received growing attention recently due...
research
∙
05/22/2020
T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing
Supporting recommendations with personalized and relevant explanations i...
research
∙
04/28/2020
Memory Augmented Neural Model for Incremental Session-based Recommendation
Increasing concerns with privacy have stimulated interests in Session-ba...
research
∙
03/02/2020
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees
This paper considers the problem of enhancing user privacy in common mac...
research
∙
02/17/2020
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset
Today, recommender systems are an inevitable part of everyone's daily di...
research
∙
02/17/2020
GameWikiSum: a Novel Large Multi-Document Summarization Dataset
Today's research progress in the field of multi-document summarization i...
research
∙
12/17/2019
Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation
Ridesharing is a coordination problem in its core. Traditionally it has ...
research
∙
12/09/2019
Multi-Gradient Descent for Multi-Objective Recommender Systems
Recommender systems need to mirror the complexity of the environment the...
research
∙
11/22/2019
Federated Learning with Bayesian Differential Privacy
We consider the problem of reinforcing federated learning with formal pr...
research
∙
10/18/2019
Federated Generative Privacy
In this paper, we propose FedGP, a framework for privacy-preserving data...
research
∙
09/25/2019
Multi-Dimensional Explanation of Reviews
Neural models achieved considerable improvement for many natural languag...
research
∙
09/20/2019
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization
Linking facts across documents is a challenging task, as the language us...
research
∙
09/06/2019
An Effective Upperbound on Treewidth Using Partial Fill-in of Separators
Partitioning a graph using graph separators, and particularly clique sep...
research
∙
08/30/2019
Rewarding High-Quality Data via Influence Functions
We consider a crowdsourcing data acquisition scenario, such as federated...
research
∙
08/27/2019
Infochain: A Decentralized System for Truthful Information Elicitation
Incentive mechanisms play a pivotal role in collecting correct and relia...
research
∙
06/15/2019
A Practical Solution to Yao's Millionaires' Problem and Its Application in Designing Secure Combinatorial Auction
The emergence of e-commerce and e-voting platforms has resulted in the r...
research
∙
05/14/2019
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems
Natural language generation (NLG) is an essential component of task-orie...
research
∙
02/25/2019
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior
We present a novel anytime heuristic (ALMA), inspired by the human princ...
research
∙
01/28/2019
Improved Accounting for Differentially Private Learning
We consider the problem of differential privacy accounting, i.e. estimat...
research
∙
10/31/2018
Crowdsourcing with Fairness, Diversity and Budget Constraints
Recent studies have shown that the labels collected from crowdworkers ca...
research
∙
08/13/2018
Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain
The popularity and applicability of mobile crowdsensing applications are...
research
∙
06/10/2018
Context Tree for Adaptive Session-based Recommendation
There has been growing interests in recent years from both practical and...
research
∙
04/27/2018
CompNet: Neural networks growing via the compact network morphism
It is often the case that the performance of a neural network can be imp...
research
∙
04/16/2018
Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing
A common mechanism to assess trust in crowdworkers is to have them answe...
research
∙
03/08/2018
Generating Differentially Private Datasets Using GANs
In this paper, we present a technique for generating artificial datasets...
research
∙
01/22/2018
Courtesy as a Means to Anti-coordinate
In this paper, we investigate the problem of anti-coordination under rat...
research
∙
01/22/2018
A Courteous Learning Rule for Ad-hoc Anti-coordination
In this paper, we investigate the problem of anti-coordination under rat...
research
∙
11/17/2017
Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints
We study a problem of optimal information gathering from multiple data p...
research
∙
11/17/2017