no code implementations • 2 Jul 2024 • Yunxiang Zhang, Alexandr Kuznetsov, Akshay Jindal, Kenneth Chen, Anton Sochenov, Anton Kaplanyan, Qi Sun
Neural image representations have recently emerged as a promising technique for storing, streaming, and rendering visual data.
no code implementations • 9 Jun 2024 • Jun Yu, Yunxiang Zhang, Fengzhao Sun, Leilei Wang, Renjie Lu
In this report, we present our solution for the semantic segmentation in adverse weather, in UG2+ Challenge at CVPR 2024.
1 code implementation • 26 Apr 2024 • Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
Self-correction has emerged as a promising solution to boost the reasoning performance of large language models (LLMs), where LLMs refine their solutions using self-generated critiques that pinpoint the errors.
no code implementations • 16 Mar 2024 • Yunxiang Zhang, Nan Wu, Connor Z. Lin, Gordon Wetzstein, Qi Sun
Diffusion models offer unprecedented image generation power given just a text prompt.
1 code implementation • 22 Oct 2023 • Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Open-domain question answering (QA) systems are often built with retrieval modules.
1 code implementation • 18 Sep 2023 • Liangming Pan, Yunxiang Zhang, Min-Yen Kan
In this paper, we explore zero- and few-shot generalization for fact verification (FV), which aims to generalize the FV model trained on well-resourced domains (e. g., Wikipedia) to low-resourced domains that lack human annotations.
1 code implementation • 28 Aug 2023 • Yunxiang Zhang, Kenneth Chen, Qi Sun
Leveraging electromyography devices, we measure, model, and predict VR users' neck muscle contraction levels (MCL) while they move their heads to interact with the virtual environment.
2 code implementations • NeurIPS 2023 • Yunxiang Zhang, Xiaojun Wan
Generative commonsense reasoning is the task that requires machines, given a group of keywords, to compose a single coherent sentence with commonsense plausibility.
no code implementations • 3 Oct 2022 • Yunxiang Zhang, Benjamin Liang, Boyuan Chen, Paul Torrens, S. Farokh Atashzar, Dahua Lin, Qi Sun
Closing the gap between real-world physicality and immersive virtual experience requires a closed interaction loop: applying user-exerted physical forces to the virtual environment and generating haptic sensations back to the users.
2 code implementations • 28 Jun 2022 • Fan Xu, Yunxiang Zhang, Xiaojun Wan
Solving Chinese character riddles is a challenging task that demands understanding of character glyph, general knowledge, and a grasp of figurative language.
no code implementations • 6 Dec 2021 • Yunxiang Zhang, Xiangyu Zhang, Peter I. Frazier
Recent advances in computationally efficient non-myopic Bayesian optimization (BO) improve query efficiency over traditional myopic methods like expected improvement while only modestly increasing computational cost.
no code implementations • NeurIPS 2021 • Yunxiang Zhang, Xiangyu Zhang, Peter Frazier
Recent advances in computationally efficient non-myopic Bayesian optimization offer improved query efficiency over traditional myopic methods like expected improvement, with only a modest increase in computational cost.
no code implementations • Findings (ACL) 2022 • Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan
In this work, we test the hypothesis that the extent to which a model is affected by an unseen textual perturbation (robustness) can be explained by the learnability of the perturbation (defined as how well the model learns to identify the perturbation with a small amount of evidence).
no code implementations • 23 Sep 2021 • Yunxiang Zhang, Xiaojun Wan
A riddle is a question or statement with double or veiled meanings, followed by an unexpected answer.
1 code implementation • NAACL 2022 • Yunxiang Zhang, Xiaojun Wan
In this paper, we tackle the challenging task of hyperbole generation to transfer a literal sentence into its hyperbolic paraphrase.
1 code implementation • ICLR 2021 • Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang
There is currently no method that enables machine learning in such a setting, where both confidentiality and privacy need to be preserved, to prevent both explicit and implicit sharing of data.
no code implementations • CUHK Course IERG5350 2020 • Linning Xu, Yunxiang Zhang
Given an image of an arbitrary scene, experienced artists are skillful at accurately perceiving the visual contents within the scene, such as objects, lighting, and tint, and presenting them in different painting styles.
no code implementations • 6 Aug 2019 • Yunxiang Zhang, Chenglong Zhao, Bingbing Ni, Jian Zhang, Haoran Deng
To address the limitations of existing magnitude-based pruning algorithms in cases where model weights or activations are of large and similar magnitude, we propose a novel perspective to discover parameter redundancy among channels and accelerate deep CNNs via channel pruning.
1 code implementation • 19 Mar 2019 • Yunxiang Zhang, Samy Blusseau, Santiago Velasco-Forero, Isabelle Bloch, Jesus Angulo
Following recent advances in morphological neural networks, we propose to study in more depth how Max-plus operators can be exploited to define morphological units and how they behave when incorporated in layers of conventional neural networks.