Papers
384 papers found
YNWA_PZ at SemEval-2025 Task 11: Multilingual Multi-Label Emotion Classification
Mohammad Sadegh Poulaei, Mohammad Erfan Zare, Mohammad Reza Mohammadi et al.
CharsiuRice at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Hiu Yan Yip, Hing Man Chiu, Hai - Yin Yang
NLP-DU at SemEval-2025 Task 11: Analyzing Multi-label Emotion Detection
Sadman Sakib, Ahaj Faiak, Abdullah Ibne Hanif Arean et al.
Amado at SemEval-2025 Task 11: Multi-label Emotion Detection in Amharic and English Data
Girma Yohannis Bade, Olga Kolesnikova, José Luis Oropeza et al.
McGill-NLP at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Vivek Verma, David Ifeoluwa Adelani
Stanford MLab at SemEval-2025 Task 11: Track B–Emotion Intensity Detection
Joseph Le, Hannah Cui, James Zhang
HausaNLP at SemEval-2025 Task 11: Advancing Hausa Text-based Emotion Detection
Sani Abdullahi Sani, Salim Abubakar, Falalu Ibrahim Lawan et al.
SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin et al.
Multi-Task Feature Learning
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
Multi-task Gaussian Process Prediction
Edwin V. Bonilla, Kian M. Chai, Christopher Williams
Multi-Task Learning via Conic Programming
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama et al.
A Dirty Model for Multi-task Learning
Ali Jalali, Sujay Sanghavi, Chao Ruan et al.
Large Margin Multi-Task Metric Learning
Shibin Parameswaran, Kilian Q. Weinberger
Probabilistic Multi-Task Feature Selection
Yu Zhang, Dit-Yan Yeung, Qian Xu
Sparse Bayesian Multi-Task Learning
Shengbo Guo, Onno Zoeter, Cédric Archambeau
Multi-Task Averaging
Sergey Feldman, Maya Gupta, Bela Frigyik
Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye, Chang-shui Zhang
Multi-task Vector Field Learning
Binbin Lin, Sen Yang, Chiyuan Zhang et al.
Parametric Task Learning
Ichiro Takeuchi, Tatsuya Hongo, Masashi Sugiyama et al.
Multi-Task Bayesian Optimization
Kevin Swersky, Jasper Snoek, Ryan P. Adams
Sparse Multi-Task Reinforcement Learning
Daniele Calandriello, Alessandro Lazaric, Marcello Restelli
Lifelong Learning with Non-i.i.d. Tasks
Anastasia Pentina, Christoph H. Lampert
Adaptive Smoothed Online Multi-Task Learning
Keerthiram Murugesan, Hanxiao Liu, Jaime Carbonell et al.