Cover Image

Adaptive boosting with dynamic weight adjustment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Mangina, Vamsi Sai Ranga Sri Harsha
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

Laplacian-LoRA: Delaying Oversmoothing in Deep GCNs via Spectral Low-Rank Adaptation
by: Alisetti, Sai Vamsi
Published: (2026)

Using dynamic loss weighting to boost improvements in forecast stability
by: Caljon, Daan, et al.
Published: (2024)

Physics-Informed Neural Network Approaches for Sparse Data Flow Reconstruction of Unsteady Flow Around Complex Geometries
by: Malineni, Vamsi Sai Krishna, et al.
Published: (2025)

Data Efficient Subset Training with Differential Privacy
by: Gandhi, Ninad Jayesh, et al.
Published: (2025)

Efficient Uncertainty in LLMs through Evidential Knowledge Distillation
by: Nemani, Lakshmana Sri Harsha, et al.
Published: (2025)

DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
by: Sastry, Chandramouli, et al.
Published: (2023)

Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies
by: Alisetti, Sai Vamsi, et al.
Published: (2025)

Test-Time Training for Depression Detection
by: Dumpala, Sri Harsha, et al.
Published: (2024)

Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection Against LLM-Generated Threats
by: Shahriar, Sadat, et al.
Published: (2025)

CoNOAir: A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities
by: Bedi, Sanchit, et al.
Published: (2025)

Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Markets
by: Dukkipati, Ambedkar, et al.
Published: (2025)

Temporal Abstraction in Reinforcement Learning with Offline Data
by: Ayyagari, Ranga Shaarad, et al.
Published: (2024)

Adaptively Point-weighting Curriculum Learning
by: Li, Wensheng, et al.
Published: (2025)

NurseSchedRL: Attention-Guided Reinforcement Learning for Nurse-Patient Assignment
by: Koduri, Harsha
Published: (2025)

Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-Language Models
by: Dumpala, Sri Harsha, et al.
Published: (2024)

On the weight dynamics of learning networks
by: Sharafi, Nahal, et al.
Published: (2024)

Self-Supervised Embeddings for Detecting Individual Symptoms of Depression
by: Dumpala, Sri Harsha, et al.
Published: (2024)

TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining
by: Zhang, Ruiyi, et al.
Published: (2024)

DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
by: Mantri, Krishna Sri Ipsit, et al.
Published: (2024)

Learning Nonlinearity of Boolean Functions: An Experimentation with Neural Networks
by: Ranga, Sriram, et al.
Published: (2025)

AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression
by: Aketi, Sai Aparna, et al.
Published: (2024)

Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
by: Kumar, Ramnath, et al.
Published: (2023)

Markov Decision Processes under External Temporal Processes
by: Ayyagari, Ranga Shaarad, et al.
Published: (2023)

Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resources
by: Ba, Amadou, et al.
Published: (2024)

A perspective on fluid mechanical environments for challenges in reinforcement learning
by: Mishra, Shruti, et al.
Published: (2026)

Predicting Individual Depression Symptoms from Acoustic Features During Speech
by: Rodriguez, Sebastian, et al.
Published: (2024)

Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts
by: Dumpala, Sri Harsha, et al.
Published: (2024)

Unsupervised Structural-Counterfactual Generation under Domain Shift
by: Kher, Krishn Vishwas, et al.
Published: (2025)

Credence: Augmenting Datacenter Switch Buffer Sharing with ML Predictions
by: Addanki, Vamsi, et al.
Published: (2024)

Improved high-dimensional estimation with Langevin dynamics and stochastic weight averaging
by: Wei, Stanley, et al.
Published: (2026)

DemandCast: Global hourly electricity demand forecasting
by: Steijn, Kevin, et al.
Published: (2025)

ANOVA-boosting for Random Fourier Features
by: Potts, Daniel, et al.
Published: (2024)

Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring
by: Liu, Junfeng, et al.
Published: (2023)

Persona-Based Conversational AI: State of the Art and Challenges
by: Liu, Junfeng, et al.
Published: (2022)

CoMAC: Conversational Agent for Multi-Source Auxiliary Context with Sparse and Symmetric Latent Interactions
by: Liu, Junfeng, et al.
Published: (2025)

Online time series prediction using feature adjustment
by: Huang, Xiannan, et al.
Published: (2025)

PhenoGnet: A Graph-Based Contrastive Learning Framework for Disease Similarity Prediction
by: Baminiwatte, Ranga, et al.
Published: (2025)

Adaptively-weighted Nearest Neighbors for Matrix Completion
by: Sadhukhan, Tathagata, et al.
Published: (2025)

A supervised generative optimization approach for tabular data
by: Nakamura-Sakai, Shinpei, et al.
Published: (2023)

Sparse-group boosting -- Unbiased group and variable selection
by: Obster, Fabian, et al.
Published: (2022)