Papers
214 papers found
Which is the Fairest (Rent Division) of Them All? [Extended Abstract]
Ya'akov (Kobi) Gal, Moshe Mash, Ariel D. Procaccia et al.
Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them
Antonio Rago, Oana Cocarascu, Francesca Toni
Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders
Xiaopeng Yang, Xiaowen Lin, Shunda Suo et al.
Themis: A Fair Evaluation Platform for Computer Vision Competitions
Zinuo Cai, Jianyong Yuan, Yang Hua et al.
TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning
Zhihao Fan, Zhongyu Wei, Siyuan Wang et al.
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection
Yiyue Qian, Yiming Zhang, Yanfang Ye et al.
Hidden 1-Counter Markov Models and How to Learn Them
Mehmet Kurucan, Mete Özbaltan, Sven Schewe et al.
Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All
Atasi Panda, Anand Louis, Prajakta Nimbhorkar
Evaluation of Thematic Coherence in Microblogs
Iman Munire Bilal, Bo Wang, Maria Liakata et al.
On the differences between BERT and MT encoder spaces and how to address them in translation tasks
Raúl Vázquez, Hande Celikkanat, Mathias Creutz et al.
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets
Marco Damonte, Emilio Monti
Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations
Titouan Parcollet, Mohamed Morchid, Georges Linarès
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them
Saber Salehkaleybar, Arsalan Sharifnassab, S. Jamaloddin Golestani
News Article Teaser Tweets and How to Generate Them
Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger et al.
What kinds of errors do reference resolution models make and what can we learn from them?
Jorge Sánchez, Mauricio Mazuecos, Hernán Maina et al.
Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes
Luca Zedda, Alessandra Perniciano, Andrea Loddo et al.
Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning
Yoichi Ishibashi, Taro Yano, Masafumi Oyamada
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
Mayank Nagda, Phil Ostheimer, Sophie Fellenz
An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them
Creston Brooks, Johannes Haubold, Charlie Cowen-Breen et al.
Understanding Writing Assistants for Scientific Figure Captions: A Thematic Analysis
Ho Yin Sam Ng, Ting-Yao Hsu, Jiyoo Min et al.
One Key to Sign Them All Considered Vulnerable: Evaluation of DNSSEC in the Internet
Haya Shulman, Michael Waidner
Themis: Fair and Efficient GPU Cluster Scheduling
Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi et al.
One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning
Suraj Jog, Zikun Liu, Antonio Franques et al.