MLSP-P1.8
PRIORITIZING DATA ACQUISITION FOR END-TO-END SPEECH MODEL IMPROVEMENT
Alkis Koudounas, Eliana Pastor, Politecnico di Torino, Italy; Giuseppe Attanasio, Bocconi University, Italy; Luca de Alfaro, University of California, Santa Cruz, United States of America; Elena Baralis, Politecnico di Torino, Italy
Session:
MLSP-P1: Robust and Sustainable Machine Learning Poster
Track:
Machine Learning for Signal Processing
Location:
Poster Zone 3A
Poster Board PZ-3A.8
Poster Board PZ-3A.8
Presentation Time:
Tue, 16 Apr, 13:10 - 15:10 (UTC +9)
Session Chair:
Dionysis Kalogerias, Yale University
Session MLSP-P1
MLSP-P1.1: Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio
Chia-Hsin Lin, Charles Jones, Björn Schuller, Harry Coppock, Alican Akman, Imperial College London, United Kingdom of Great Britain and Northern Ireland
MLSP-P1.2: BETA QUANTILE REGRESSION FOR ROBUST ESTIMATION OF UNCERTAINTY IN THE PRESENCE OF OUTLIERS
Haleh Akrami, Omar Zamzam, Anand Joshi, Sergul Aydore, Richard Leahy, University of Southern California, United States of America
MLSP-P1.3: EPA: NEURAL COLLAPSE INSPIRED ROBUST OUT-OF-DISTRIBUTION DETECTOR
Jiawei Zhang, Tsinghua University, China; Yufan Chen, Army Engineering University of PLA, China; Cheng Jin, Tsinghua University, China; Lei Zhu, Army Engineering University of PLA, China; Yuantao Gu, Tsinghua University, China
MLSP-P1.4: M$^3$TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for More Uplift Modeling
Zexu Sun, Xu Chen, Renmin University of China, China
MLSP-P1.5: Search Robust and Adaptable Architecture
Ruicheng Niu, Ziyuan Zhu, Chaofei Li, Dan Meng, Institute of Information Engineering, Chinese Academy of Sciences, China
MLSP-P1.6: ENHANCING NOISY LABEL LEARNING VIA UNSUPERVISED CONTRASTIVE LOSS WITH LABEL CORRECTION BASED ON PRIOR KNOWLEDGE
Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
MLSP-P1.7: Variance Reduction Can Improve Trade-off In Multi-Objective Learning
Heshan Fernando, Lisha Chen, Rensselaer Polytechnic Institute, United States of America; Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, IBM Research, United States of America; Gaowen Liu, Cisco Systems, United States of America; Meng Wang, Tianyi Chen, Rensselaer Polytechnic Institute, United States of America
MLSP-P1.8: PRIORITIZING DATA ACQUISITION FOR END-TO-END SPEECH MODEL IMPROVEMENT
Alkis Koudounas, Eliana Pastor, Politecnico di Torino, Italy; Giuseppe Attanasio, Bocconi University, Italy; Luca de Alfaro, University of California, Santa Cruz, United States of America; Elena Baralis, Politecnico di Torino, Italy
MLSP-P1.9: Killing it with Zero-Shot: Adversarially Robust Novelty Detection
Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Zeinab Sadat Taghavi, Sharif University of Technology, Iran (Islamic Republic of); Mohammad Sabokrou, Okinawa Institute of Science and Technology, Iran (Islamic Republic of); Mohammad Hossein Rohban, Sharif University of Technology, Iran (Islamic Republic of)
MLSP-P1.10: EC-NAS: ENERGY CONSUMPTION AWARE TABULAR BENCHMARKS FOR NEURAL ARCHITECTURE SEARCH
Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan, University of Copenhagen, Denmark
MLSP-P1.11: Stage-Regularized Neural Stein Critics for Testing Goodness-of-Fit of Generative Models
Matthew Repasky, Georgia Institute of Technology, United States of America; Xiuyuan Cheng, Duke University, United States of America; Yao Xie, Georgia Institute of Technology, United States of America
MLSP-P1.12: KC-Prompt: End-to-end Knowledge-Complementary Prompting for Rehearsal-free Continual Learning
Yaowei Li, Peking University, China; Yating Liu, Tsinghua University, Tsinghua Shenzhen International Graduate School, China; Xuxin Cheng, Zhihong Zhu, Hongxiang Li, Bang Yang, Zhiqi Huang, Peking University, China
Contacts