github.com/nottombrown/rl-teacher
nottombrown/rl-teacher
Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback (⭐ 562)
arxiv.org/abs/2001.09999v2
The BUFFALO HST Survey
The Beyond Ultra-deep Frontier Fields and Legacy Observations (BUFFALO) is a 101 orbit + 101 parallel Cycle 25 Hubble Space Telescope Treasury program taking data from 2018-2020. BUFFALO will expand existing coverage of the Hubble Frontier Fields (HF...
arxiv.org/abs/2209.10431v1
Complicated Background Suppression of ViSAR Image For Moving Target Shadow Detec…
The existing Video Synthetic Aperture Radar (ViSAR) moving target shadow detection methods based on deep neural networks mostly generate numerous false alarms and missing detections, because of the foreground-background indistinguishability. To solve...
arxiv.org/abs/2303.15127v1
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example…
Unlearnable example attacks are data poisoning techniques that can be used to safeguard public data against unauthorized use for training deep learning models. These methods add stealthy perturbations to the original image, thereby making it difficul...
www.reddit.com/r/politics/comments/1qt0g9y/earthquake_of_biblical_proportions_as_democrat/
‘Earthquake of Biblical Proportions’ as Democrat Flips Deep-Red Texas State Sena…
...
arxiv.org/abs/2508.16016v2
DRespNeT: A UAV Dataset and YOLOv8-DRN Model for Aerial Instance Segmentation of…
Recent advancements in computer vision and deep learning have enhanced disaster-response capabilities, particularly in the rapid assessment of earthquake-affected urban environments. Timely identification of accessible entry points and structural obs...
arxiv.org/abs/2601.03177v1
Modelling and Simulation of the Propagation of P-SV Seismic Waves from Earthquak…
Brazil is located in the central-eastern portion of the South American Plate, meaning that the country mostly experiences low-intensity seismic activity within its territory. However, some geological faults in this region have generated intense earth...
arxiv.org/abs/2205.09850v3
Human Gender Prediction Based on Deep Transfer Learning from Panoramic Radiograp…
Panoramic Dental Radiography (PDR) image processing is one of the most extensively used manual methods for gender determination in forensic medicine. With the assistance of the PDR images, a person's biological gender determination can be performed t...
arxiv.org/abs/2208.09799v1
Forensic Dental Age Estimation Using Modified Deep Learning Neural Network
Dental age is one of the most reliable methods to identify an individual's age. By using dental panoramic radiography (DPR) images, physicians and pathologists in forensic sciences try to establish the chronological age of individuals with no valid l...
arxiv.org/abs/2504.03128v1
FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge
The proliferation of AI-generated content brings significant concerns on the forensic and security issues such as source tracing, copyright protection, etc, highlighting the need for effective watermarking technologies. Font-based text watermarking h...
arxiv.org/abs/2106.09198v1
Learning Perceptual Manifold of Fonts
Along the rapid development of deep learning techniques in generative models, it is becoming an urgent issue to combine machine intelligence with human intelligence to solve the practical applications. Motivated by this methodology, this work aims to...
arxiv.org/abs/astro-ph/0009256v2
Supernova data may be unable to distinguish between quintessence and k-essence
We consider the efficacy of using luminosity distance measurements of deep redshift supernovae to discriminate between two forms of dark energy, quintessence (a scalar field with canonical kinetic terms rolling down a potential) and k-essence (a sc...
arxiv.org/abs/2310.08913v1
How enlightened self-interest guided global vaccine sharing benefits all: a mode…
Background: Despite the consensus that vaccines play an important role in combating the global spread of infectious diseases, vaccine inequity is still rampant with deep-seated mentality of self-priority. This study aims to evaluate the existence and...
arxiv.org/abs/2108.08473v1
Classification of Diabetic Retinopathy Severity in Fundus Images with DenseNet12…
In this work, deep learning algorithms are used to classify fundus images in terms of diabetic retinopathy severity. Six different combinations of two model architectures, the Dense Convolutional Network-121 and the Residual Neural Network-50 and thr...
arxiv.org/abs/math/0506358v3
Combinatorics of patience sorting piles
Despite having been introduced in 1962 by C.L. Mallows, the combinatorial algorithm Patience Sorting is only now beginning to receive significant attention due to such recent deep results as the Baik-Deift-Johansson Theorem that connect it to field...
arxiv.org/abs/hep-ph/9209283v1
Quantum Corrections to Deep Bags
Nontopological solitons, or ``bags,'' can arise when fermions acquire their mass through a Yukawa coupling to some scalar field. Bags have played an important role in models of baryons, nuclei, and more recently, in the idea that a Higgs condensate...
arxiv.org/abs/2509.15072v1
Improving Internet Traffic Matrix Prediction via Time Series Clustering
We present a novel framework that leverages time series clustering to improve internet traffic matrix (TM) prediction using deep learning (DL) models. Traffic flows within a TM often exhibit diverse temporal behaviors, which can hinder prediction acc...
www.reddit.com/r/JoseiManhwa/comments/1qur2tb/josei_smt_list/
Josei Sm*t list
This list doesn’t contain any type of Harem or Love Triangle,and plots are not that deep except for a couple of manhwa and manga. I’ll update this list from time to time. ?✨ \[ This ‘\*’...
github.com/maciejkula/spotlight
maciejkula/spotlight
Deep recommender models using PyTorch. (⭐ 3043)
arxiv.org/abs/2501.17667v2
CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radiu…
Deep reinforcement learning (DRL) has gained widespread adoption in control and decision-making tasks due to its strong performance in dynamic environments. However, DRL agents are vulnerable to noisy observations and adversarial attacks, and concern...