Cover Image

Benchmarking Anomaly Detection Algorithms: Deep Learning and Beyond

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mehta, Shanay, Mehendale, Shlok, Fernandes, Nicole, Sarkar, Jyotirmoy, Sarkar, Santonu, Saha, Snehanshu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Radon-Nikodým Perspective on Anomaly Detection: Theory and Implications
by: Mehendale, Shlok, et al.
Published: (2025)

Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data
by: Saha, Snehanshu, et al.
Published: (2023)

Matching High-Dimensional Geometric Quantiles for Test-Time Adaptation of Transformers and Convolutional Networks Alike
by: Danda, Sravan, et al.
Published: (2026)

Altruistic Ride Sharing: A Framework for Fair and Sustainable Urban Mobility via Peer-to-Peer Incentives
by: Singh, Divyanshu, et al.
Published: (2025)

Strong convexity-guided hyper-parameter optimization for flatter losses
by: Yedida, Rahul, et al.
Published: (2024)

One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning
by: Goru, Ritesh, et al.
Published: (2025)

QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier
by: Challa, Aditya, et al.
Published: (2023)

Learning Beyond Euclid: Curvature-Adaptive Generalization for Neural Networks on Manifolds
by: Sarkar, Krisanu
Published: (2025)

AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with Swarm Intelligence
by: Mohapatra, Rohan, et al.
Published: (2020)

Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries
by: Mehra, Ashman, et al.
Published: (2023)

Quantitative Trading using Deep Q Learning
by: Sarkar, Soumyadip
Published: (2023)

LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detection
by: Stylianou, Ioannis, et al.
Published: (2025)

Quantile Activation: Correcting a Failure Mode of ML Models
by: Challa, Aditya, et al.
Published: (2024)

BayPrAnoMeta: Bayesian Proto-MAML for Few-Shot Industrial Image Anomaly Detection
by: Sarkar, Soham, et al.
Published: (2026)

Load and Renewable Energy Forecasting Using Deep Learning for Grid Stability
by: Sarkar, Kamal
Published: (2025)

Verifying Correctness of PLC Software during System Evolution using Model Containment Approach
by: Bandyopadhyay, Soumyadip, et al.
Published: (2025)

Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction
by: Sarkar, Aditya, et al.
Published: (2026)

Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints
by: Sarkar, Dhruv, et al.
Published: (2025)

Enhancing Quantum Variational Algorithms with Zero Noise Extrapolation via Neural Networks
by: Bhattacharjee, Subhasree, et al.
Published: (2024)

A Granger-Causal Perspective on Gradient Descent with Application to Pruning
by: Shah, Aditya, et al.
Published: (2024)

DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks
by: Zinage, Shrenik, et al.
Published: (2024)

Oja's Algorithm for Streaming Sparse PCA
by: Kumar, Syamantak, et al.
Published: (2024)

An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model
by: Sarkar, Anindya, et al.
Published: (2025)

Beyond Individual Input for Deep Anomaly Detection on Tabular Data
by: Thimonier, Hugo, et al.
Published: (2023)

Can Explainable AI Assess Personalized Health Risks from Indoor Air Pollution?
by: Sarkar, Pritisha, et al.
Published: (2025)

Adaptive Variance-Penalized Continual Learning with Fisher Regularization
by: Sarkar, Krisanu
Published: (2025)

DEM: A Distilled Explanation Model for Interpretable Anomaly Detection in Physiological Sensor Networks
by: Singh, Jyotirmoy, et al.
Published: (2026)

Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
by: Sarkar, Soumyadip
Published: (2024)

Learning Hidden Physics and System Parameters with Deep Operator Networks
by: Sarkar, Dibakar Roy, et al.
Published: (2024)

Improved Algorithms for Nash Welfare in Linear Bandits
by: Sarkar, Dhruv, et al.
Published: (2026)

Viz: A QLoRA-based Copyright Marketplace for Legally Compliant Generative AI
by: Sarkar, Dipankar
Published: (2023)

Spatio-Temporal Graphs Beyond Grids: Benchmark for Maritime Anomaly Detection
by: Kim, Jeehong, et al.
Published: (2025)

Hindsight-Guided Momentum (HGM) Optimizer: An Approach to Adaptive Learning Rate
by: Sarkar, Krisanu
Published: (2025)

Multi-Agent Training-free Urban Food Delivery System using Resilient UMST Network
by: Hasan, Md Nahid, et al.
Published: (2026)

A Floating Normalization Scheme for Deep Learning-Based Custom-Range Parameter Extraction in BSIM-CMG Compact Models
by: Ashai, Aasim, et al.
Published: (2025)

Sentiment Polarity Analysis of Bangla Food Reviews Using Machine and Deep Learning Algorithms
by: Amin, Al, et al.
Published: (2024)

Explainable Unsupervised Anomaly Detection with Random Forest
by: Harvey, Joshua S., et al.
Published: (2025)

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA
by: Kumar, Syamantak, et al.
Published: (2025)

Causal Sensitivity Identification using Generative Learning
by: Bandyopadhyay, Soma, et al.
Published: (2025)