Boi Faltings

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 126

Top Venues

Publications

Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings
δ-CAUSAL: Exploring Defeasibility in Causal Reasoning. CoRR (2024)
Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings
REFINER: Reasoning Feedback on Intermediate Representations. CoRR (2023)
Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings
Language Model Decoding as Likelihood-Utility Alignment. EACL (Findings) (2023)
Boi Faltings
Game-theoretic Mechanisms for Eliciting Accurate Information. IJCAI (2023)
Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley
Assistive Recipe Editing through Critiquing. EACL (2023)
Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen, Milind Tambe, Boi Faltings
AI-driven Prices for Externalities and Sustainability in Production Markets. AAMAS (2023)
Adam Richardson, Boi Faltings
Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization. CoRR (2023)
Christina Timko, Malte Niederstadt, Naman Goel, Boi Faltings
Incentive Mechanism Design for Responsible Data Governance: A Large-scale Field Experiment. ACM J. Data Inf. Qual. 15 (2) (2023)
Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. ACM Trans. Intell. Syst. Technol. 13 (5) (2022)
Aleksei Triastcyn, Boi Faltings
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees. Algorithms 15 (7) (2022)
Diego Antognini, Boi Faltings
Positive and Negative Critiquing for VAE-based Recommenders. CoRR (2022)
Fengyu Cai, Wanhao Zhou, Fei Mi, Boi Faltings
Slim: Explicit Slot-Intent Mapping with Bert for Joint Multi-Intent Detection and Slot Filling. ICASSP (2022)
Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings
Exploiting environmental signals to enable policy correlation in large-scale decentralized systems. Auton. Agents Multi Agent Syst. 36 (1) (2022)
Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings, Robert West
Language Model Decoding as Likelihood-Utility Alignment. CoRR (2022)
Panayiotis Danassis, Marija Sakota, Aris Filos-Ratsikas, Boi Faltings
Putting ridesharing to the test: efficient and scalable solutions and the power of dynamic vehicle relocation. Artif. Intell. Rev. 55 (7) (2022)
Dimitris Chatzopoulos, Anurag Jain, Sujit Gujar, Boi Faltings, Pan Hui
Toward Mobile Distributed Ledgers. IEEE Internet Things J. 9 (11) (2022)
Ljubomir Rokvic, Panayiotis Danassis, Boi Faltings
Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation. CoRR (2022)
Shuangqi Li, Diego Antognini, Boi Faltings
Interlock-Free Multi-Aspect Rationalization for Text Classification. CoRR (2022)
Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley
Assistive Recipe Editing through Critiquing. CoRR (2022)
Panayiotis Danassis, Aleksei Triastcyn, Boi Faltings
A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings. AAMAS (2022)
Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. Perspectives@RecSys (2021)
Diana Andreea Petrescu, Diego Antognini, Boi Faltings
Multi-Step Critiquing User Interface for Recommender Systems. RecSys (2021)
Diana Petrescu, Diego Antognini, Boi Faltings
Multi-Step Critiquing User Interface for Recommender Systems. CoRR (2021)
Diego Antognini, Boi Faltings
Fast Multi-Step Critiquing for VAE-based Recommender Systems. CoRR (2021)
Diego Antognini, Boi Faltings
Fast Multi-Step Critiquing for VAE-based Recommender Systems. RecSys (2021)
Fei Mi, Wanhao Zhou, Fengyu Cai, Lingjing Kong, Minlie Huang, Boi Faltings
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems. CoRR (2021)
Diego Antognini, Boi Faltings
Rationalization through Concepts. ACL/IJCNLP (Findings) (2021)
Diego Antognini, Boi Faltings
Rationalization through Concepts. CoRR (2021)
Panayiotis Danassis, Florian Wiedemair, Boi Faltings
Improving Multi-agent Coordination by Learning to Estimate Contention. CoRR (2021)
Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings
Achieving Diverse Objectives with AI-driven Prices in Deep Reinforcement Learning Multi-agent Markets. CoRR (2021)
Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings
Improved Cooperation by Exploiting a Common Signal. CoRR (2021)
Dimitris Chatzopoulos, Anurag Jain, Sujit Gujar, Boi Faltings, Pan Hui
Towards Mobile Distributed Ledgers. CoRR (2021)
Fei Mi, Wanhao Zhou, Lingjing Kong, Fengyu Cai, Minlie Huang, Boi Faltings
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems. EMNLP (1) (2021)
Blagoj Mitrevski, Milena Filipovic, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Momentum-based Gradient Methods in Multi-Objective Recommendation. MORS@RecSys (2021)
Sankarshan Damle, Boi Faltings, Sujit Gujar
Blockchain-based Practical Multi-agent Secure Comparison and its Application in Auctions. WI/IAT (2021)
Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Addressing fairness in classification with a model-agnostic multi-objective algorithm. UAI (2021)
Fei Mi, Tao Lin, Boi Faltings
Representation Memorization for Fast Learning New Knowledge without Forgetting. CoRR (2021)
Diego Antognini, Claudiu Musat, Boi Faltings
Multi-Dimensional Explanation of Target Variables from Documents. AAAI (2021)
Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings
Improved Cooperation by Exploiting a Common Signal. AAMAS (2021)
Sankarshan Damle, Aleksei Triastcyn, Boi Faltings, Sujit Gujar
Differentially Private Multi-Agent Constraint Optimization. WI/IAT (2021)
Panayiotis Danassis, Florian Wiedemair, Boi Faltings
Improving Multi-agent Coordination by Learning to Estimate Contention. IJCAI (2021)
Diego Antognini, Claudiu Musat, Boi Faltings
Interacting with Explanations through Critiquing. IJCAI (2021)
Fengyu Cai, Wanhao Zhou, Fei Mi, Boi Faltings
SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling. CoRR (2021)
Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Momentum-based Gradient Methods in Multi-objective Recommender Systems. CoRR (2020)
Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. CoRR (2020)
Aleksei Triastcyn, Boi Faltings
Bayesian Differential Privacy for Machine Learning. ICML (2020)
Aleksei Triastcyn, Boi Faltings
Federated Generative Privacy. IEEE Intell. Syst. 35 (4) (2020)
Diego Antognini, Claudiu Musat, Boi Faltings
T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing. CoRR (2020)
Diego Antognini, Boi Faltings
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. CoRR (2020)
Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems. EMNLP (Findings) (2020)
Diego Antognini, Boi Faltings
GameWikiSum: a Novel Large Multi-Document Summarization Dataset. LREC (2020)
Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings
Generalized Class Incremental Learning. CVPR Workshops (2020)
Diego Antognini, Boi Faltings
GameWikiSum: a Novel Large Multi-Document Summarization Dataset. CoRR (2020)
Panayiotis Danassis, Aleksei Triastcyn, Boi Faltings
Differential Privacy Meets Maximum-weight Matching. CoRR (2020)
Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems. CoRR (2020)
Fei Mi, Boi Faltings
Memory Augmented Neural Model for Incremental Session-based Recommendation. IJCAI (2020)
Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Boi Faltings, Claudiu Musat
Multi-Gradient Descent for Multi-Objective Recommender Systems. CoRR (2020)
Naman Goel, Aris Filos-Ratsikas, Boi Faltings
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives. IJCAI (2020)
Aleksei Triastcyn, Boi Faltings
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees. CoRR (2020)
Panayiotis Danassis, Boi Faltings
Efficient Allocations in Constant Time: Towards Scalable Solutions in the Era of Large Scale Intelligent Systems. ECAI (2020)
Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings, Pan Hui
Mneme: A Mobile Distributed Ledger. INFOCOM (2020)
Naman Goel, Maxime Rutagarama, Boi Faltings
Tackling Peer-to-Peer Discrimination in the Sharing Economy. WebSci (2020)
Diego Antognini, Boi Faltings
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. LREC (2020)
Moin Hussain Moti, Dimitris Chatzopoulos, Pan Hui, Boi Faltings, Sujit Gujar
Orthos: A Trustworthy AI Framework for Data Acquisition. EMAS@AAMAS (2020)
Fei Mi, Xiaoyu Lin, Boi Faltings
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation. RecSys (2020)
Fei Mi, Xiaoyu Lin, Boi Faltings
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation. CoRR (2020)
Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm. CoRR (2020)
Fei Mi, Boi Faltings
Memory Augmented Neural Model for Incremental Session-based Recommendation. CoRR (2020)
Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain. IJCAI (2020)
Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior. IJCAI (2019)
Naman Goel, Boi Faltings
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data. UAI (2019)
Naman Goel, Boi Faltings
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd. AAAI (2019)
Aleksei Triastcyn, Boi Faltings
Improved Accounting for Differentially Private Learning. CoRR (2019)
Panayiotis Danassis, Boi Faltings
Courtesy as a Means to Coordinate. AAMAS (2019)
Naman Goel, Boi Faltings
Crowdsourcing with Fairness, Diversity and Budget Constraints. AIES (2019)
Aleksei Triastcyn, Boi Faltings
Federated Learning with Bayesian Differential Privacy. IEEE BigData (2019)
Panayiotis Danassis, Marija Sakota, Aris Filos-Ratsikas, Boi Faltings
Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation. CoRR (2019)
Sankarshan Damle, Boi Faltings, Sujit Gujar
A Practical Solution to Yao's Millionaires' Problem and Its Application in Designing Secure Combinatorial Auction. CoRR (2019)
Diego Antognini, Claudiu Musat, Boi Faltings
Multi-Dimensional Explanation of Reviews. CoRR (2019)
Aleksei Triastcyn, Boi Faltings
Federated Generative Privacy. CoRR (2019)
Diego Antognini, Boi Faltings
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization. CoRR (2019)
Boi Faltings, Martin Charles Golumbic
An Effective Upperbound on Treewidth Using Partial Fill-in of Separators. CoRR (2019)
Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. IJCAI (2019)
Stéphane Martin, Boi Faltings, Vincent Schickel
Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation. AAAI (2019)
Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior. CoRR (2019)
Sankarshan Damle, Boi Faltings, Sujit Gujar
A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders. AAMAS (2019)
Aleksei Triastcyn, Boi Faltings
Federated Learning with Bayesian Differential Privacy. CoRR (2019)
Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. CoRR (2019)
Adam Richardson, Aris Filos-Ratsikas, Boi Faltings
Rewarding High-Quality Data via Influence Functions. CoRR (2019)
Cyril van Schreven, Naman Goel, Boi Faltings
Infochain: A Decentralized System for Truthful Information Elicitation. CoRR (2019)
Panayiotis Danassis, Boi Faltings
A Courteous Learning Rule for Ad-hoc Anti-coordination. CoRR (2018)
Panayiotis Danassis, Boi Faltings
Learning in Ad-hoc Anti-coordination Scenarios. AAAI Spring Symposia (2018)
Igor Kulev, Pearl Pu, Boi Faltings
A Bayesian Approach to Intervention-Based Clustering. ACM Trans. Intell. Syst. Technol. 9 (4) (2018)
Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings
Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints. AAAI (2018)
Naman Goel, Boi Faltings
Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing. CoRR (2018)
Naman Goel, Mohammad Yaghini, Boi Faltings
Non-Discriminatory Machine Learning through Convex Fairness Criteria. AIES (2018)
Jun Lu, Wei Ma, Boi Faltings
CompNet: Neural networks growing via the compact network morphism. CoRR (2018)
Naman Goel, Mohammad Yaghini, Boi Faltings
Non-Discriminatory Machine Learning Through Convex Fairness Criteria. AAAI (2018)
Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings, Pan Hui
Privacy Preserving and Cost Optimal Mobile Crowdsensing Using Smart Contracts on Blockchain. MASS (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Boi Faltings