5) Complete the data science roadmap to follow https://
medium.com/@avikumart_/a-
complete-data-science-roadmap-to-follow-in-2023-3f8f837ddc06?source=user_profile———11—————————-
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RESEARCH
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Complete Data Science Roadmap to Follow in 2023
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Predicting Road Accident Severity with Machine Learning
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2) Road traffic severity project https://
medium.com/@avikumart_/an
-end-to-end-project-to-predict-road-accident-severity-with-code-snippets-78eafabaa1cd?source=user_profile———2—————————-
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Essential Unsupervised Learning Concepts Explained
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3) Must know Unsupervised learning concepts https://
medium.com/@avikumart_/mu
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Real-World Data Science Project: Lessons and Key Insights
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1) Complete end-to-end data science project experience https://
medium.com/@avikumart_/i-
just-completed-my-first-ever-real-world-data-science-project-heres-what-i-learned-and-insights-6605f0a800b9?source=user_profile———1—————————-
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Scaling MLPs: How Inductive Bias Compensates at Scale
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10/ Scaling MLPs: A Tale of Inductive Bias – shows that the performance of MLPs improves with scale and highlights that lack of inductive bias can be compensated.
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Self-Retrieval Architecture for Long-Range Language Modeling
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9/ Long-range Language Modeling with Self-Retrieval – an architecture and training procedure for jointly training a retrieval-augmented language model from scratch for long-range language modeling tasks.
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Theory-of-Mind Evaluation Framework for Large Language Models
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7/ Understanding Theory-of-Mind in LLMs with LLMs – a framework for procedurally generating evaluations with LLMs; proposes a benchmark to study the social reasoning capabilities of LLMs with LLMs.
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Self-Supervised LLM Evaluation Framework for Deployment Monitoring
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8/ Evaluations with No Labels – a framework for self-supervised evaluation of LLMs by analyzing their sensitivity or invariance to transformations on input text; can be used to monitor LLM behavior on datasets streamed during live model deployment.
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DragDiffusion: Precise Spatial Control in Diffusion-Based Image Editing
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6/ DragDiffusion – extends interactive point-based image editing using diffusion models; it optimizes the diffusion latent to achieve precise spatial control and complete high-quality editing efficiently.
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Visual Navigation Transformer: Pretrained Model for Robotic Navigation
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4/ Visual Navigation Transformer – a foundational model that leverages the power of pretrained models to vision-based robotic navigation; built on a flexible Transformer-based architecture that can tackle various navigational tasks.