arxiv.org/abs/2103.13023v1
Can we complete pre-training of Vision Transformers (ViT) without natural images and human-annotated labels? Although a pre-trained ViT seems to heavily rely on a large-scale dataset and human-annotated labels, recent large-scale datasets contain sev...
github.com/4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference. (⭐ 1681)
arxiv.org/abs/2110.05370v1
Cybersecurity is increasingly a concern for small and medium-sized enterprises (SMEs), and there exist many awareness training programs and tools for them. The literature mainly studies SMEs as a unitary type of company and provides one-size-fits-all...
arxiv.org/abs/2406.02429v1
Speech-to-singing voice conversion (STS) task always suffers from data scarcity, because it requires paired speech and singing data. Compounding this issue are the challenges of content-pitch alignment and the suboptimal quality of generated outputs,...
arxiv.org/abs/2601.12153v1
Automatic Singing Assessment and Singing Information Processing have evolved over the past three decades to support singing pedagogy, performance analysis, and vocal training. While the first approach objectively evaluates a singer's performance thro...
arxiv.org/abs/2410.12761v2
Recent advances in diffusion models have significantly enhanced their ability to generate high-quality images and videos, but they have also increased the risk of producing unsafe content. Existing unlearning/editing-based methods for safe generation...
arxiv.org/abs/2004.03264v3
As machine learning for images becomes democratized in the Software 2.0 era, one of the serious bottlenecks is securing enough labeled data for training. This problem is especially critical in a manufacturing setting where smart factories rely on mac...
www.reddit.com/r/OntarioPublicService/comments/1r8aacd/occupational_health_safety_inspector_industrial/
Hi everyone, I recently received an interview invitation for an Occupational Health and Safety Inspector (Industrial) position with the Ministry of Labour, Immigration, Training and Skills Developmen...
arxiv.org/abs/2110.13223v1
Deep learning systems frequently fail at out-of-context (OOC) prediction, the problem of making reliable predictions on uncommon or unusual inputs or subgroups of the training distribution. To this end, a number of benchmarks for measuring OOC perfor...
arxiv.org/abs/1212.6407v1
This article analyses the current state of Astronomy in Argentina and describes its origins. We briefly describe the institutions where astronomical research takes place, the observational facilities available, the training of staff and professionals...
www.bing.com/ck/a?!&&p=c84320a26f24f09f56fe046e4f617a810478097c1e191a867bb299fe6b1d6109JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=1db9d217-47e6-60df-3908-c506464a6109&u=a1aHR0cHM6Ly93d3cuc21vYWt5LmNvbS9mb3J1bS9pbmRleC5waHA_L3RvcGljLzE0OTYxMC1jb3dib3lzLXRyYWluaW5nLWNhbXAv&ntb=1
Aug 5, 2015 · Smith looks ready to take another step toward the hall of fame and he handles his side alone, no help needed. I thought Randle and Dunbar both looked solid in pass protection and they …
arxiv.org/abs/2002.03072v1
There is broad interest in creating RL agents that can solve many (related) tasks and adapt to new tasks and environments after initial training. Model-based RL leverages learned surrogate models that describe dynamics and rewards of individual tasks...
arxiv.org/abs/2508.15503v3
Large language models (LLMs) are increasingly being integrated into software engineering (SE) research and practice, yet their non-determinism, opaque training data, and evolving architectures complicate the reproduction and replication of empirical...
arxiv.org/abs/2306.06804v1
Neural models have drastically advanced state of the art for machine translation (MT) between high-resource languages. Traditionally, these models rely on large amounts of training data, but many language pairs lack these resources. However, an impor...
arxiv.org/abs/1706.04560v3
We propose a two-stage neural model to tackle question generation from documents. First, our model estimates the probability that word sequences in a document are ones that a human would pick when selecting candidate answers by training a neural key-...
www.reddit.com/r/AmItheAsshole/comments/1ox4ej8/aita_for_crafting_during_meetings/
So I work in a mainly office setting, and we have a lot of meetings, video conferences and online training which is primarily in video format. I've always needed something to do with my hands, thanks...
www.bing.com/ck/a?!&&p=7b56943d0f930ef4301a4a924fff609cf1e84f8ea73a6ded1f274d98ebbb7e3eJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=14e514ac-529f-67bc-3486-03bd53306695&u=a1aHR0cHM6Ly9zdGF0ZWNvcnBzLmNvbS9kZXNpZ24tYnVpbGQtc2VydmljZXMvVW5kZXIlMjBFeGVjdXRpb24ucGhw&ntb=1
46 military and infrastructure projects for US Army Corps of Engineers including defense universities, police headquarters, and training facilities across Afghanistan.
www.bing.com/ck/a?!&&p=8f11b33949e7af0bd676f289448dac3430aa604f4d9a47a0aaef48fc8996b4c4JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=156c8453-a29c-69fd-1ccd-9342a3ec68bd&u=a1aHR0cHM6Ly90ZWNoLnV0ZXhhcy5lZHUvc2VydmljZXMtdG9vbHMvdGVjaG5vbG9neS1zdGFmZg&ntb=1
UTLearn, offered by the University of Texas at Austin, is a comprehensive professional development platform for seamless onboarding and ongoing training. It includes free access to LinkedIn Learning …
www.bing.com/ck/a?!&&p=66ea1b14e3704e7dcc1f5f2e979fee5c230d760c6a042c9b1d04fc9f760efcbcJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=156c8453-a29c-69fd-1ccd-9342a3ec68bd&u=a1aHR0cHM6Ly9oci51dGV4YXMuZWR1L3N0dWRlbnQvc3R1ZGVudC1lbXBsb3ltZW50LXJlc291cmNlcw&ntb=1
Please visit the Workday Student Employment Training webpage for Workday Instructional Guides, decision trees, sample checklists and acknowledgment forms as well as information on additional …
arxiv.org/abs/2510.27002v1
While world models are increasingly positioned as a pathway to overcoming data scarcity in domains such as robotics, open training infrastructure for world modeling remains nascent. We introduce Jasmine, a performant JAX-based world modeling codebase...