Clement Chung
YOU?
Author Swipe
View article: Targeting the Immune Microenvironment in Chronic Lymphocytic Leukemia: An Evolving Therapeutic Strategy
Targeting the Immune Microenvironment in Chronic Lymphocytic Leukemia: An Evolving Therapeutic Strategy Open
Although small molecule inhibitors that target the aberrant signaling pathways and molecular defects of chronic lymphocytic leukemia (CLL) result in improved survival benefits vs. traditional chemoimmunotherapy or chemotherapy, treatment r…
View article: CALICO: Conversational Agent Localization via Synthetic Data Generation
CALICO: Conversational Agent Localization via Synthetic Data Generation Open
We present CALICO, a method to fine-tune Large Language Models (LLMs) to localize conversational agent training data from one language to another. For slots (named entities), CALICO supports three operations: verbatim copy, literal transla…
View article: Partial Federated Learning
Partial Federated Learning Open
Federated Learning (FL) is a popular algorithm to train machine learning models on user data constrained to edge devices (for example, mobile phones) due to privacy concerns. Typically, FL is trained with the assumption that no part of the…
View article: Coordinated Replay Sample Selection for Continual Federated Learning
Coordinated Replay Sample Selection for Continual Federated Learning Open
Continual Federated Learning (CFL) combines Federated Learning (FL), the decentralized learning of a central model on a number of client devices that may not communicate their data, and Continual Learning (CL), the learning of a model from…
View article: End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders
End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders Open
It is challenging to extract semantic meanings directly from audio signals in spoken language understanding (SLU), due to the lack of textual information. Popular end-to-end (E2E) SLU models utilize sequence-to-sequence automatic speech re…
View article: Sequencing and combination of current<scp>small‐molecule</scp>inhibitors for chronic lymphocytic leukemia: Where is the evidence?
Sequencing and combination of current<span>small‐molecule</span>inhibitors for chronic lymphocytic leukemia: Where is the evidence? Open
Small‐molecule inhibitors have revolutionized the treatment of chronic lymphocytic leukemia (CLL), a landscape once dominated by chemoimmunotherapy (i.e., an anti‐CD20 monoclonal antibody in combination with systemic chemotherapy) in fit a…
View article: Coordinated Replay Sample Selection for Continual Federated Learning
Coordinated Replay Sample Selection for Continual Federated Learning Open
Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard Zemel, Rahul Gupta. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track. 2023.
View article: A Promising Future for Precision Epigenetic Therapy for Follicular and Diffuse Large B-Cell Lymphoma?
A Promising Future for Precision Epigenetic Therapy for Follicular and Diffuse Large B-Cell Lymphoma? Open
Epigenetic mechanisms such as DNA hypermethylation or histone deacetylation normally silence gene expression that regulates numerous cellular activities. Germinal center-derived lymphomas such as follicular lymphoma (FL) and diffuse large …
View article: Federated Learning with Noisy User Feedback
Federated Learning with Noisy User Feedback Open
Machine Learning (ML) systems are getting increasingly popular, and drive more and more applications and services in our daily life. This has led to growing concerns over user privacy, since human interaction data typically needs to be tra…
View article: Training Mixed-Domain Translation Models via Federated Learning
Training Mixed-Domain Translation Models via Federated Learning Open
Training mixed-domain translation models is a complex task that demands tailored architectures and costly data preparation techniques. In this work, we leverage federated learning (FL) in order to tackle the problem. Our investigation demo…
View article: Learnings from Federated Learning in the Real world
Learnings from Federated Learning in the Real world Open
Federated Learning (FL) applied to real world data may suffer from several idiosyncrasies. One such idiosyncrasy is the data distribution across devices. Data across devices could be distributed such that there are some "heavy devices" wit…
View article: Training Mixed-Domain Translation Models via Federated Learning
Training Mixed-Domain Translation Models via Federated Learning Open
Peyman Passban, Tanya Roosta, Rahul Gupta, Ankit Chadha, Clement Chung. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.
View article: Federated Learning with Noisy User Feedback
Federated Learning with Noisy User Feedback Open
Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguis…
View article: Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling Open
We propose a novel Transformer encoder-based architecture with syntactical knowledge encoded for intent detection and slot filling. Specifically, we encode syntactic knowledge into the Transformer encoder by jointly training it to predict …
View article: Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling Open
We propose a novel Transformer encoder-based architecture with syntactical knowledge encoded for intent detection and slot filling. Specifically, we encode syntactic knowledge into the Transformer encoder by jointly training it to predict …
View article: Risk of ovarian function recovery should be considered when switching from treatment with adjuvant tamoxifen to aromatase inhibitor therapy in women with chemotherapy‐induced amenorrhea
Risk of ovarian function recovery should be considered when switching from treatment with adjuvant tamoxifen to aromatase inhibitor therapy in women with chemotherapy‐induced amenorrhea Open
Key Points In this study, the risk of a return to menses and/or premenopausal estradiol/follicle‐stimulating hormone levels by 30 months after a switch from adjuvant tamoxifen to aromatase inhibitor therapy in women with postmenopausal est…
View article: Older adults may not consider life expectancy an important factor in cancer screening
Older adults may not consider life expectancy an important factor in cancer screening Open
Key Points Although many elderly individuals considered their age and health status to be relevant in making decisions regarding cancer screening, they often did not understand the role of life expectancy. It is important for providers to …
View article: Tyrosine Kinase Inhibitors for EGFR Gene Mutation-Positive Non-SmallCell Lung Cancers: An Update for Recent Advances in Therapeutics
Tyrosine Kinase Inhibitors for EGFR Gene Mutation-Positive Non-SmallCell Lung Cancers: An Update for Recent Advances in Therapeutics Open
The presence of activating gene mutations in the epidermal growth factor receptor (EGFR) of non-small cell lung cancer (NSCLC) patients is predictive (improved progression-free survival and improved response rate) when treated with small m…