Papers
214 papers found
Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data
TaeYoon Kwack, Jisoo Kim, Ki Yong Jung et al.
A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme Information
Yiqi Tong, Jiangbin Zheng, Hongkang Zhu et al.
A Thematicity-Based Prosody Enrichment Tool for CTS
Mónica Domínguez, Mireia Farrús, Leo Wanner
ThemePro 2.0: Showcasing the Role of Thematic Progression in Engaging Human-Computer Interaction
Mónica Domínguez, Juan Soler-Company, Leo Wanner
If You Can’t Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking
Dasha Bogdanova, Jennifer Foster, Daria Dzendzik et al.
Overlapping Clustering Models, and One (class) SVM to Bind Them All
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
GILBO: One Metric to Measure Them All
Alexander A Alemi, Ian Fischer
Near Neighbor: Who is the Fairest of Them All?
Sariel Har-Peled, Sepideh Mahabadi
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari Morcos, Haonan Yu, Michela Paganini et al.
Learning About Objects by Learning to Interact with Them
Martin Lohmann, Jordi Salvador, Aniruddha Kembhavi et al.
Robust Quantization: One Model to Rule Them All
moran shkolnik, Brian Chmiel, Ron Banner et al.
Bad Global Minima Exist and SGD Can Reach Them
Shengchao Liu, Dimitris Papailiopoulos, Dimitris Achlioptas
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers
Heng Yang, Luca Carlone
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu, Mathieu Salzmann, Tao Lin et al.
Good Classification Measures and How to Find Them
Martijn Gösgens, Anton Zhiyanov, Aleksey Tikhonov et al.
The Role of Global Labels in Few-Shot Classification and How to Infer Them
Ruohan Wang, Massimiliano Pontil, Carlo Ciliberto
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations
Yiming Zhu, Hongyu Liu, Yibing Song et al.
Pushing the limits of fairness impossibility: Who's the fairest of them all?
Brian Hsu, Rahul Mazumder, Preetam Nandy et al.
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
Haotao Wang, Junyuan Hong, Aston Zhang et al.
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
Zeke Xie, Zhiqiang Xu, Jingzhao Zhang et al.
Topological Obstructions and How to Avoid Them
Babak Esmaeili, Robin Walters, Heiko Zimmermann et al.
No Representation Rules Them All in Category Discovery
Sagar Vaze, Andrea Vedaldi, Andrew Zisserman
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training
Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu et al.
Toolformer: Language Models Can Teach Themselves to Use Tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessi et al.
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
Marc Rigter, Bruno Lacerda, Nick Hawes