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The Grad-CAM algorithm provides a way to identify what parts of an image contribute most to the output of a classifier deep network. The algorithm is simple and widely used for localization of objects in an image, although some researchers have point...
The Proton Improvement Plan (PIP-II) to the FNAL accelerator chain and the Long-Baseline Neutrino Facility (LBNF) will provide the world's most intense neutrino beam to the Deep Underground Neutrino Experiment (DUNE) enabling a wide-ranging physics p...
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Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit (⭐ 17609)
In this paper, we propose Bootstrapped Language-Image Pretraining-driven Fused State Representation in Proximal Policy Optimization (BLIP-FusePPO), a novel multimodal reinforcement learning (RL) framework for autonomous lane-keeping (LK), in which se...
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs (⭐ 265)
Deep radio continuum surveys provide fundamental constraints on galaxy evolution, but source confusion limits sensitivity to the faintest sources. We present a complete framework for producing high-fidelity deblended radio catalogs from the confused...
[Yesterday, Ben Nicholson-Smith tweeted a cool stat about Davis Schneider, which is that since his debut on August 4th, 2023, Schneider had a 156 wRC+, which is 9th in MLB, min. 300 PAs.](https://x.co...
A tabletop runway is a runway that is located on the top of a plateau or hill with one or both ends adjacent to a steep precipice which drops into a deep
India, as a predominantly agrarian economy, faces significant challenges in agriculture, including substantial crop losses caused by diseases, pests, and environmental stress. Early detection and accurate identification of diseases across different c...
Large Reasoning Models (LRMs) like o1 and DeepSeek-R1 have shown remarkable progress in natural language reasoning with long chain-of-thought (CoT), yet they remain inefficient or inaccurate when handling complex mathematical operations. Addressing t...
How deep in the fryer am I with this schedule? EDIT 1: I don't think im actually fried, a lot of planning went into this so that it would be as manageable as possible. I would like some sort of tips,...
This paper develops a deep learning-based econometric methodology to determine the causality of the financial time series. This method is applied to the imbalances in daily transactions in individual stocks, as well as the ETFs reported to SEC with a...
In an interview w/ Josh Pate, Matt Campbell talked about roster retention (with the guys that fit his culture) being his first priority. Obviously the retention of Terry helps in that regard. I wante...
Tensor rematerialization allows the training of deep neural networks (DNNs) under limited memory budgets by checkpointing the models and recomputing the evicted tensors as needed. However, the existing tensor rematerialization techniques overlook the...
Welcome to Cordill-Mason Elementary School! It’s a great day to be a Cougar! We’re excited to have you at CME. From our incoming Cougars to our Cougar alumni, we are deeply committed to the …
This paper presents a new method for solving an orienteering problem (OP) by breaking it down into two parts: a knapsack problem (KP) and a traveling salesman problem (TSP). A KP solver is responsible for picking nodes, while a TSP solver is responsi...
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