Zheda Mai

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Semantic Segmentation

Intermediate Representations

Top Venues

Inf. Process. Manag.

J. Vis. Commun. Image Represent.

Publications

Jihyung Kil, Zheda Mai, Justin Lee, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Arpita Chowdhury, Wei-Lun Chao
CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs. CoRR (2024)
Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. NeurIPS (2023)
Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning. CVPR (2023)
Ruiwen Li, Zheda Mai, Zhibo Zhang, Jongseong Jang, Scott Sanner
TransCAM: Transformer attention-based CAM refinement for Weakly supervised semantic segmentation. J. Vis. Commun. Image Represent. 92 (2023)
Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. CoRR (2023)
Tianshu Shen, Jiaru Li, Mohamed Reda Bouadjenek, Zheda Mai, Scott Sanner
Towards understanding and mitigating unintended biases in language model-driven conversational recommendation. Inf. Process. Manag. 60 (1) (2023)
Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao
Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation. CoRR (2023)
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. 303 (2022)
Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner
Online continual learning in image classification: An empirical survey. Neurocomputing 469 (2022)
Zhaolin Gao, Tianshu Shen, Zheda Mai, Mohamed Reda Bouadjenek, Isaac Waller, Ashton Anderson, Ron Bodkin, Scott Sanner
Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems. SIGIR (2022)
Ruiwen Li, Zheda Mai, Chiheb Trabelsi, Zhibo Zhang, Jongseong Jang, Scott Sanner
TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation. CoRR (2022)
Tianshu Shen, Zheda Mai, Ga Wu, Scott Sanner
Distributional Contrastive Embedding for Clarification-based Conversational Critiquing. WWW (2022)
Tianshu Shen, Jiaru Li, Mohamed Reda Bouadjenek, Zheda Mai, Scott Sanner
Unintended Bias in Language Model-driven Conversational Recommendation. CoRR (2022)
Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning. CoRR (2022)
Zheda Mai, Ruiwen Li, Hyunwoo Kim, Scott Sanner
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning. CVPR Workshops (2021)
Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner
Online Continual Learning in Image Classification: An Empirical Survey. CoRR (2021)
Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
Online Class-Incremental Continual Learning with Adversarial Shapley Value. AAAI (2021)
Zheda Mai, Ruiwen Li, Hyunwoo Kim, Scott Sanner
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning. CoRR (2021)
Zheda Mai, Ga Wu, Kai Luo, Scott Sanner
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering. CoRR (2020)
Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. CoRR (2020)
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR (2020)
Zheda Mai, Ga Wu, Kai Luo, Scott Sanner
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering. ICDM (Workshops) (2020)
Jin Peng Zhou, Ga Wu, Zheda Mai, Scott Sanner
Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering. CoRR (2020)
Zheda Mai, Hyunwoo Kim, Jihwan Jeong, Scott Sanner
Batch-level Experience Replay with Review for Continual Learning. CoRR (2020)