Research Papers

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ArXiv cs.AI 🧬 Deep Learning 📄 Paper 4d ago

A Lightweight CNN Integrated Compact Convolutional Transformer for Multi-Scale Feature Learning and reducing computational complexity for breast cancer mammography image detection and classification

arXiv:2609.18212v1 Announce Type: cross Abstract: Over the years, Convolutional Neural Networks (CNNs) have demonstrated strong capability in cancer detection a

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 4d ago

Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning

arXiv:2609.18952v1 Announce Type: cross Abstract: Early detection of dental caries remains challenging due to limitations in traditional diagnostic methods, par

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 5d ago

FairLint-DL: An IDE-Native Tool for Fairness Debugging of Deep Learning Software

arXiv:2609.16321v1 Announce Type: cross Abstract: Existing fairness analysis tools predominantly operate as post-training evaluation frameworks, requiring pract

MarkTechPost 🧬 Deep Learning 5d ago

Inside NVIDIA’s cuDNN Graph API: Fusion, Autotuning, and Plan Reuse with cuDNN Frontend

Learn how to leverage NVIDIA’s cuDNN Frontend Graph API to build custom kernel fusions, autotuning engine configurations, FP8-style epilogues, scaled dot-produc

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 6d ago

Geometric Flow enhanced Graph Coarsening

arXiv:2609.14962v1 Announce Type: new Abstract: Recently, researchers have proposed a graph pooling operation, akin to the pooling process in conventional convo

Reddit r/MachineLearning 🧬 Deep Learning 6d ago

[P] Wine synthesis using VAE [P]

I have created a VAE model using PyTorch on White Wine dataset. Basically, the main goal is to discover a

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 2w ago

Frequency Selective Neural Networks as a Foundation Architecture for Time Series Learning

arXiv:2608.29012v1 Announce Type: new Abstract: Time-series data across physical and biological domains are fundamentally driven by complex, non-stationary osci

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 2w ago

Understanding Deep Learning via Notions of Rank

arXiv:2408.02111v4 Announce Type: replace-cross Abstract: Despite the extreme popularity of deep learning in science and industry, its formal understanding is l

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 3w ago

A Deep Learning-Based Stacking Ensemble Framework for Turbofan Engine Remaining Useful Life Prediction

arXiv:2608.27940v1 Announce Type: new Abstract: This study proposes a two-level stacking ensemble framework for Remaining Useful Life (RUL) prediction of turbof

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 3w ago

Ensemble of Convolutional Neural Networks for StrokePrediction: Towards Improved Diagnostic Accuracy

arXiv:2608.24771v1 Announce Type: cross Abstract: Brain stroke, known for its high mortality and incidence rates, poses significant health risks and requires ra

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 3w ago

A Scalable Vector Graphics Latent Space

arXiv:2608.21893v1 Announce Type: cross Abstract: Scalable Vector Graphics are a fundamental medium for resolution-independent visual content, yet the deep lear

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 3w ago

Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements

arXiv:2606.18402v2 Announce Type: replace-cross Abstract: Traditional microwave filter design typically relies on iterative parameter tuning and predefined topo

Reddit r/MachineLearning 🧬 Deep Learning 1mo ago

Same GRPO recipe on three from-scratch LLMs (353M/316M/672M) gave three different outcomes, with no clean relationship to scale [P]

I trained three LLMs from scratch in raw PyTorch then post-trained each one with SFT and then GRPO. Same process every time: same synthetic arithmetic curriculu

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 1mo ago

Dual Spatial-Temporal Attribution: Architecture-Aligned Post-Hoc Explainability for Recurrent Graph Anomaly Detection

arXiv:2608.12441v1 Announce Type: cross Abstract: Deep learning detectors for anomalies in dynamic graphs have reached strong accuracy, yet they remain opaque:

Reddit r/MachineLearning 🧬 Deep Learning 1mo ago

Building text to ASCII diffusion model , need advice and guidance [P]

i wanna build a text diffusion model which interpret text and convert it into ascii images so like Text : build a cat Output : /\\\_/\\ ( o.o ) \> \^ So , i hav

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 1mo ago

ELVAE: Evidential Learning-Based Variational Autoencoder for Uncertainty-Aware Generation

arXiv:2608.10398v1 Announce Type: cross Abstract: Variational autoencoders generate samples from probabilistic latent representations but do not distinguish unc

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 1mo ago

LITEWAY: LIghtweight HAR via Temporal Efficient highWAY

arXiv:2608.09421v1 Announce Type: cross Abstract: Wearable human activity recognition (HAR) remains challenging due to the computational and energy constraints

ArXiv cs.AI 🧬 Deep Learning 📄 Paper ⚡ AI Lesson 1mo ago

Deep Learning CNN and Recurrence Analysis for Alpha Gamma EEG Biomarkers in Fragile X Syndrome

arXiv:2608.00835v1 Announce Type: cross Abstract: Fragile X Syndrome (FXS) is a neurodevelopmental disorder caused by reduced expression of fragile X mental ret

ArXiv cs.AI 🧬 Deep Learning 📄 Paper ⚡ AI Lesson 2mo ago

Deep Reinforcement Learning to Master the Asymmetric Strategy of Baghchal

arXiv:2607.18296v1 Announce Type: new Abstract: Baghchal is a two-player asymmetric board game with Nepali origins where four tigers are to capture goats and tw

ArXiv cs.AI 🧬 Deep Learning 📄 Paper ⚡ AI Lesson 2mo ago

Deep Learning-Driven Black-Box Doherty Power Amplifier with Pixelated Output Combiner and Extended Efficiency Range

arXiv:2603.16565v2 Announce Type: replace-cross Abstract: This article presents a deep learning-driven inverse design methodology for Doherty power amplifiers (

ArXiv cs.AI 🧬 Deep Learning 📄 Paper ⚡ AI Lesson 2mo ago

State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading

arXiv:2606.27032v1 Announce Type: cross Abstract: Energy trading decisions depend not only on current market prices, but also on expected future market conditio

ArXiv cs.AI 🧬 Deep Learning 📄 Paper ⚡ AI Lesson 3mo ago

A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling Problem

arXiv:2606.13682v1 Announce Type: new Abstract: The open shop scheduling problem (OSSP) arises in many industrial and service settings but remains computational

ArXiv cs.AI 🧬 Deep Learning 📄 Paper ⚡ AI Lesson 4mo ago

Silent Neuron Theory and Plasticity Preservation for Deep Reinforcement Learning in Adaptive Video Streaming

arXiv:2505.01584v3 Announce Type: replace-cross Abstract: Adaptive video streaming optimizes Quality of Experience (QoE) metrics by selecting appropriate bitrat

ArXiv cs.AI 🧬 Deep Learning 📄 Paper 4mo ago

Feature Learning Dynamics in Infinite-Depth Neural Networks

arXiv:2512.21075v2 Announce Type: replace-cross Abstract: Deep neural networks have achieved remarkable success in practice, yet a mechanistic understanding of