This workstream consists of two parts. Part 1 covers the research paper exploration and comparison as per the given application areas. You can refer to this link for the detailed requirements and deliverable - https://www.dropbox.com/scl/fi/7je9du63qpsum
Sethi, A., Sankaran, A., Panwar, N., Khare, S., and Mani, S. DL- Paper2Code: Auto-generation of Code from Deep Learning Research Pa- pers. In Thirty-Second AAAI Conference on Artificial Intelligence (2018), IBM Research, pp. 7339-7346....
pythonplatformfinancemachine-learningresearchdeep-learningpaperfintechquantquantitative-financeinvestmentstock-dataalgorithmic-tradingresearch-paperquantitative-tradingquant-datasetquant-modelsauto-quant UpdatedJan 9, 2025 Python An AI-powered research assistant that performs iterative, deep research on any topic by...
Machine Learning All research Evaluating Sample Utility for Data Selection by Mimicking Model Weights content typepaper|research areaComputer Vision,research areaData Science and Annotation|Published year2025 AuthorsTzu-Heng Huang, Manjot Bilkhu, Frederic Sala, Javier Movellan ...
Online Learning: A Comprehensive Survey [arXiv] Visual Interpretability for Deep Learning: a Survey [arXiv] Behavior is Everything – Towards Representing Concepts with Sensorimotor Contingencies [paper] [article] [code] IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architec...
Behind the Paper Real-time holographic camera for obtaining real 3D scene hologram Di Wang Feb 08, 2025 Astronomical Image Denoising by Self-Supervised Deep Learning and Restoration Processes Nature Astronomy Behind the Paper Astronomical Image Denoising by Self-Supervised Deep Learning and Restoration Pr...
To efficiently handle hyperparameter optimization (HPO) for deep chemical models, the paper introduces a technique called Training Performance Estimation (TPE), adapting it from a method used in computer vision architectures. TPE utilizes training speed to enable performance estimation ...
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Machine Learning Research at Apple Recent research Explore all research dMel: Speech Tokenization Made Simple content typepaper|research areaSpeech and Natural Language Processing|Published year2025 AuthorsHe Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly ...
The vigorous development of the construction industry has also brought unprecedented safety risks. The wearing of safety helmets at the construction site can effectively reduce casualties. As a result, this paper suggests employing a deep learning-based