Papers
214 papers found
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
Zechen Bai, Tong He, Haiyang Mei et al.
Transcendence: Generative Models Can Outperform The Experts That Train Them
Edwin Zhang, Vincent Zhu, Naomi Saphra et al.
Learning to Write Stories with Thematic Consistency and Wording Novelty
Juntao Li, Lidong Bing, Lisong Qiu et al.
What and Where the Themes Dominate in Image
Xinyu Xiao, Lingfeng Wang, Shiming Xiang et al.
Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract)
Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish
Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently
Rebekka Burkholz, John Quackenbush
One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline
Michele Bevilacqua, Rexhina Blloshmi, Roberto Navigli
SigMaNet: One Laplacian to Rule Them All
Stefano Fiorini, Stefano Coniglio, Michele Ciavotta et al.
A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation
Berker Banar, Nick Bryan-Kinns, Simon Colton
‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation
Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them
Harish Haresamudram, Apoorva Beedu, Mashfiqui Rabbi et al.
Computing Game Symmetries and Equilibria That Respect Them
Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld et al.
Who’s the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
Karina Halevy, Karly Hou, Charumathi Badrinath
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
Adhiguna Kuncoro, Chris Dyer, John Hale et al.
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks
Liat Ein Dor, Yosi Mass, Alon Halfon et al.
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers
Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi et al.
One format to rule them all – The emtsv pipeline for Hungarian
Balázs Indig, Bálint Sass, Eszter Simon et al.
One Model to Pronounce Them All: Multilingual Grapheme-to-Phoneme Conversion With a Transformer Ensemble
Kaili Vesik, Muhammad Abdul-Mageed, Miikka Silfverberg
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
Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension
Ying Xu, Dakuo Wang, Mo Yu et al.
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu, Max Bartolo, Alastair Moore et al.