306 citations · 564 across the 35 of their papers we have counts for
37 papers
Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling
Xinyi Zhang, Hanyu Zhao, Wencong Xiao +5
The era of large deep learning models has given rise to advanced training strategies such as 3D parallelism and the ZeRO series. These strategies enable various (re-)configurable e…
A Situated-Infrastructuring of WhatsApp for Business in India
Ankolika De
WhatsApp has become a pivotal communication tool in India, transcending cultural boundaries and deeply integrating into the nation's digital landscape. Meta's introduction of Whats…
#PoetsOfInstagram: Navigating The Practices And Challenges Of Novice Poets On Instagram
Ankolika De, Zhicong Lu
Commencing as a photo-sharing platform, Instagram has since become multifaceted, accommodating diverse art forms, with poetry emerging as a prominent one. However, the academic und…
Tribe or Not? Critical Inspection of Group Differences Using TribalGram
Yongsu Ahn, Muheng Yan, Yu-Ru Lin +2
With the rise of AI and data mining techniques, group profiling and group-level analysis have been increasingly used in many domains including policy making and direct marketing. I…
TAPAS: Fast and Automatic Derivation of Tensor Parallel Strategies for Large Neural Networks
Ziji Shi, Le Jiang, Ang Wang +6
Tensor parallelism is an essential technique for distributed training of large neural networks. However, automatically determining an optimal tensor parallel strategy is challengin…
Revisiting Piggyback Prototyping: Examining Benefits and Tradeoffs in Extending Existing Social Computing Systems
Daniel A. Epstein, Fannie Liu, Andrés Monroy-Hernández +1
The CSCW community has a history of designing, implementing, and evaluating novel social interactions in technology, but the process requires significant technical effort for uncer…
EasyScale: Accuracy-consistent Elastic Training for Deep Learning
Mingzhen Li, Wencong Xiao, Biao Sun +9
Distributed synchronized GPU training is commonly used for deep learning. The resource constraint of using a fixed number of GPUs makes large-scale training jobs suffer from long q…
Explanation-Guided Fairness Testing through Genetic Algorithm
Ming Fan, Wenying Wei, Wuxia Jin +2
The fairness characteristic is a critical attribute of trusted AI systems. A plethora of research has proposed diverse methods for individual fairness testing. However, they are su…
MiDaS: Representative Sampling from Real-world Hypergraphs
Minyoung Choe, Jaemin Yoo, Geon Lee +3
Graphs are widely used for representing pairwise interactions in complex systems. Since such real-world graphs are large and often evergrowing, sampling a small representative subg…
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining
Junyang Lin, An Yang, Jinze Bai +9
Recent expeditious developments in deep learning algorithms, distributed training, and even hardware design for large models have enabled training extreme-scale models, say GPT-3 a…
Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generation
Lei Shen, Haolan Zhan, Xin Shen +2
Open-domain dialogue generation in natural language processing (NLP) is by default a pure-language task, which aims to satisfy human need for daily communication on open-ended topi…
Productivity, Portability, Performance: Data-Centric Python
Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun +5
Python has become the de facto language for scientific computing. Programming in Python is highly productive, mainly due to its rich science-oriented software ecosystem built aroun…
Learning to Represent Human Motives for Goal-directed Web Browsing
Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang +3
Motives or goals are recognized in psychology literature as the most fundamental drive that explains and predicts why people do what they do, including when they browse the web. Al…
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search
Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava +1
Numerous online stock image libraries offer high quality yet copyright free images for use in marketing campaigns. To assist advertisers in navigating such third party libraries, w…
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis
Naili Xing, Sai Ho Yeung, Chenghao Cai +7
Deep learning has achieved great success in a wide spectrum of multimedia applications such as image classification, natural language processing and multimodal data analysis. Recen…
How many FIDO protocols are needed? Surveying the design, security and market perspectives
Anna Angelogianni, Ilias Politis, Christos Xenakis
Unequivocally, a single man in possession of a strong password is not enough to solve the issue of security. Studies indicate that passwords have been subjected to various attacks,…
The Impact of Dormant Defects on Defect Prediction: a Study of 19 Apache Projects
Davide Falessi, Aalok Ahluwalia, Massimiliano Di Penta
Defect prediction models can be beneficial to prioritize testing, analysis, or code review activities, and has been the subject of a substantial effort in academia, and some applic…
M6-T: Exploring Sparse Expert Models and Beyond
An Yang, Junyang Lin, Rui Men +12
Mixture-of-Experts (MoE) models can achieve promising results with outrageous large amount of parameters but constant computation cost, and thus it has become a trend in model scal…
M6: A Chinese Multimodal Pretrainer
Junyang Lin, Rui Men, An Yang +22
In this work, we construct the largest dataset for multimodal pretraining in Chinese, which consists of over 1.9TB images and 292GB texts that cover a wide range of domains. We pro…
Reaction or Speculation: Building Computational Support for Users in Catching-Up Series Based on an Emerging Media Consumption Phenomenon
Riku Arakawa, Hiromu Yakura
A growing number of people are using catch-up TV services rather than watching simultaneously with other audience members at the time of broadcast. However, computational support f…
Remote Learners, Home Makers: How Digital Fabrication Was Taught Online During a Pandemic
Gabrielle Benabdallah, Samuelle Bourgault, Nadya Peek +1
Digital fabrication courses that relied on physical makerspaces were severely disrupted by COVID-19. As universities shut down in Spring 2020, instructors developed new models for…
First Infrastructure and Experimentation in Echo-debugging
Thomas Dupriez, Steven Costiou, Stéphane Ducasse
As applications get developed, bugs inevitably get introduced. Often, it is unclear why a given code change introduced a given bug. To find this causal relation and more effectivel…
Controllable Multi-Character Psychology-Oriented Story Generation
Feifei Xu, Xinpeng Wang, Yunpu Ma +4
Story generation, which aims to generate a long and coherent story automatically based on the title or an input sentence, is an important research area in the field of natural lang…
Neural Face Models for Example-Based Visual Speech Synthesis
Wolfgang Paier, Anna Hilsmann, Peter Eisert
Creating realistic animations of human faces with computer graphic models is still a challenging task. It is often solved either with tedious manual work or motion capture based te…