:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sokol, Anna, Moniz, Nuno, Chawla, Nitesh
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2402.16300
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Intersectional Divergence: Measuring Fairness in Regression
by: Germino, Joe, et al.
Published: (2025)

Fast Explanations via Policy Gradient-Optimized Explainer
by: Pan, Deng, et al.
Published: (2024)

AnyLoss: Transforming Classification Metrics into Loss Functions
by: Han, Doheon, et al.
Published: (2024)

Spectral Manifold Harmonization for Graph Imbalanced Regression
by: Nogueira, Brenda, et al.
Published: (2025)

Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control
by: Carvalho, Tânia, et al.
Published: (2022)

SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression
by: Nogueira, Brenda, et al.
Published: (2025)

Do LLMs have core beliefs?
by: Sokol, Anna, et al.
Published: (2026)

Genotype-Conditioned Molecular Generation via Evidence-Grounded Multi-Objective Latent Perturbation in Diffusion Models
by: Nogueira, Brenda, et al.
Published: (2026)

Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective
by: Ma, Yihong, et al.
Published: (2024)

BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
by: Sokol, Anna, et al.
Published: (2024)

Relevance-aware Algorithmic Recourse
by: Kim, Dongwhi, et al.
Published: (2024)

The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data
by: Dablain, Damien A., et al.
Published: (2024)

Automated Privacy-Preserving Techniques via Meta-Learning
by: Carvalho, Tânia, et al.
Published: (2024)

Capability-Oriented Training Induced Alignment Risk
by: Zhou, Yujun, et al.
Published: (2026)

Class-Aware Contrastive Optimization for Imbalanced Text Classification
by: Khvatskii, Grigorii, et al.
Published: (2024)

You do not have to train Graph Neural Networks at all on text-attributed graphs
by: Dong, Kaiwen, et al.
Published: (2024)

Time Series Data Augmentation as an Imbalanced Learning Problem
by: Cerqueira, Vitor, et al.
Published: (2024)

CORE: Data Augmentation for Link Prediction via Information Bottleneck
by: Dong, Kaiwen, et al.
Published: (2024)

Synthetic Data Outliers: Navigating Identity Disclosure
by: Trindade, Carolina, et al.
Published: (2024)

Context Attribution with Multi-Armed Bandit Optimization
by: Pan, Deng, et al.
Published: (2025)

Universal Link Predictor By In-Context Learning on Graphs
by: Dong, Kaiwen, et al.
Published: (2024)

Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing
by: Duan, Yuying, et al.
Published: (2024)

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
by: Zhang, Zheyuan, et al.
Published: (2024)

Pure Message Passing Can Estimate Common Neighbor for Link Prediction
by: Dong, Kaiwen, et al.
Published: (2023)

Experiential-Informed Data Reconstruction for Fishery Sustainability and Policies in the Azores
by: Nogueira, Brenda, et al.
Published: (2023)

AgentDrug: Utilizing Large Language Models in An Agentic Workflow for Zero-Shot Molecular Editing
by: Le, Khiem, et al.
Published: (2024)

Can we Soft Prompt LLMs for Graph Learning Tasks?
by: Liu, Zheyuan, et al.
Published: (2024)

FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE
by: Le, Khiem, et al.
Published: (2025)

LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs
by: Zhou, Yujun, et al.
Published: (2024)

HONEM: Learning Embedding for Higher Order Networks
by: Saebi, Mandana, et al.
Published: (2019)

A Survey of Large Language Models for Graphs
by: Ren, Xubin, et al.
Published: (2024)

AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive
by: Guo, Taicheng, et al.
Published: (2026)

Breaking Language Barriers: Equitable Performance in Multilingual Language Models
by: Nagar, Tanay, et al.
Published: (2025)

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
by: Ma, Yihong, et al.
Published: (2023)

Interpretable Scientific Discovery with Symbolic Regression: A Review
by: Makke, Nour, et al.
Published: (2022)

Conformal Prediction for Multimodal Regression
by: Bose, Alexis, et al.
Published: (2024)

On Volume Minimization in Conformal Regression
by: Bars, Batiste Le, et al.
Published: (2025)

Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
by: Tian, Yijun, et al.
Published: (2024)

Normalizing Flows for Conformal Regression
by: Colombo, Nicolo
Published: (2024)

Conformal Prediction via Regression-as-Classification
by: Guha, Etash, et al.
Published: (2024)