:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Seyyedsalehi, S. Fatemeh, Soleymani, Mahdieh, Rabiee, Hamid R.
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2202.09914
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SUSD: Structured Unsupervised Skill Discovery through State Factorization
by: Hosseini, Seyed Mohammad Hadi, et al.
Published: (2026)

Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method
by: Sani, Matina Mahdizadeh, et al.
Published: (2024)

Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning
by: Rafiei, Mina, et al.
Published: (2024)

PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation
by: Davoodabadi, Mohammadamin, et al.
Published: (2024)

Dilated Balanced Cross Entropy Loss for Medical Image Segmentation
by: Hosseini, Seyed Mohsen, et al.
Published: (2024)

CER: Confidence Enhanced Reasoning in LLMs
by: Razghandi, Ali, et al.
Published: (2025)

Visual Structures Helps Visual Reasoning: Addressing the Binding Problem in VLMs
by: Izadi, Amirmohammad, et al.
Published: (2025)

DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property
by: Ramezani, Maryam, et al.
Published: (2023)

UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
by: Teimuri, Mohammad T., et al.
Published: (2025)

Efficient Adversarial Attacks on High-dimensional Offline Bandits
by: Hosseini, Seyed Mohammad Hadi, et al.
Published: (2026)

CRISPR: Ensemble Model
by: Rostami, Mohammad, et al.
Published: (2024)

LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
by: Mehri, Faridoun, et al.
Published: (2024)

PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network
by: Abbasi, Karim, et al.
Published: (2024)

Cueless EEG imagined speech for subject identification: dataset and benchmarks
by: Derakhshesh, Ali, et al.
Published: (2025)

CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives
by: Saghafian, Armin, et al.
Published: (2024)

Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting
by: Kaviani, Farzan, et al.
Published: (2024)

Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning
by: Cheraghi, Radin, et al.
Published: (2025)

Machine Learning and CPU (Central Processing Unit) Scheduling Co-Optimization over a Network of Computing Centers
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Limits and Gains of Test-Time Scaling in Vision-Language Reasoning
by: Ahmadpour, Mohammadjavad, et al.
Published: (2025)

HaloProbe: Bayesian Detection and Mitigation of Object Hallucinations in Vision-Language Models
by: Zohrabi, Reihaneh, et al.
Published: (2026)

Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP
by: Abbasi, Reza, et al.
Published: (2024)

Pando: Do Interpretability Methods Work When Models Won't Explain Themselves?
by: Zhong, Ziqian, et al.
Published: (2026)

TAWRMAC: A Novel Dynamic Graph Representation Learning Method
by: Farokhi, Soheila, et al.
Published: (2025)

Explaining Deep Neural Networks by Leveraging Intrinsic Methods
by: La Rosa, Biagio
Published: (2024)

ReDiF: Reinforced Distillation for Few Step Diffusion
by: Tighkhorshid, Amirhossein, et al.
Published: (2025)

Improving 3D Few-Shot Segmentation with Inference-Time Pseudo-Labeling
by: Mozafari, Mohammad, et al.
Published: (2024)

DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting
by: Ye, Feng, et al.
Published: (2024)

Deep Sketched Output Kernel Regression for Structured Prediction
by: Ahmad, Tamim El, et al.
Published: (2024)

Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
by: Noohdani, Fahimeh Hosseini, et al.
Published: (2024)

Double Machine Learning Based Structure Identification from Temporal Data
by: Angelis, Emmanouil, et al.
Published: (2023)

Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning
by: Dijujin, Negin Hashemi, et al.
Published: (2025)

Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
by: Behnamnia, Armin, et al.
Published: (2025)

GOAt: Explaining Graph Neural Networks via Graph Output Attribution
by: Lu, Shengyao, et al.
Published: (2024)

HGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers
by: Gharizadeh, Ali, et al.
Published: (2024)

HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis
by: Tahery, Saedeh, et al.
Published: (2024)

Explaining Concept Shift with Interpretable Feature Attribution
by: Lyu, Ruiqi, et al.
Published: (2025)

InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
by: Enouen, James, et al.
Published: (2025)

Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
by: Zohrabi, Reihaneh, et al.
Published: (2025)

LLMs Explain't: A Post-Mortem on Semantic Interpretability in Transformer Models
by: Abdelhalim, Alhassan, et al.
Published: (2026)

SoftAdaClip: A Smooth Clipping Strategy for Fair and Private Model Training
by: Soleymani, Dorsa, et al.
Published: (2025)