Saved in:
| Main Authors: | Veldanda, Akshaj Kumar, Brugere, Ivan, Dutta, Sanghamitra, Mishler, Alan, Garg, Siddharth |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2302.01385 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning
by: Fu, Yanjun, et al.
Published: (2025)
by: Fu, Yanjun, et al.
Published: (2025)
TabDistill: Distilling Transformers into Neural Nets for Few-Shot Tabular Classification
by: Dissanayake, Pasan, et al.
Published: (2025)
by: Dissanayake, Pasan, et al.
Published: (2025)
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data
by: Kumar, Atul, et al.
Published: (2024)
by: Kumar, Atul, et al.
Published: (2024)
Balancing Fairness and Accuracy in Data-Restricted Binary Classification
by: Lazri, Zachary McBride, et al.
Published: (2024)
by: Lazri, Zachary McBride, et al.
Published: (2024)
Learning Fair Models without Sensitive Attributes: A Generative Approach
by: Zhu, Huaisheng, et al.
Published: (2022)
by: Zhu, Huaisheng, et al.
Published: (2022)
Federated Fairness without Access to Sensitive Groups
by: Papadaki, Afroditi, et al.
Published: (2024)
by: Papadaki, Afroditi, et al.
Published: (2024)
Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs
by: Hamman, Faisal, et al.
Published: (2024)
by: Hamman, Faisal, et al.
Published: (2024)
Learning Invariant Graph Representations Through Redundant Information
by: Halder, Barproda, et al.
Published: (2025)
by: Halder, Barproda, et al.
Published: (2025)
PromptScreen: Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline
by: Rao, Akshaj Prashanth, et al.
Published: (2025)
by: Rao, Akshaj Prashanth, et al.
Published: (2025)
VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation
by: Egea, David, et al.
Published: (2025)
by: Egea, David, et al.
Published: (2025)
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
by: Kang, Mintong, et al.
Published: (2025)
by: Kang, Mintong, et al.
Published: (2025)
Explanation Fairness in Large Language Models: An Empirical Analysis of Disparities in How LLMs Justify Decisions Across Demographic Groups
by: Veldanda, Gautam
Published: (2026)
by: Veldanda, Gautam
Published: (2026)
Ethical Fairness in Ubiquitous Health Sensing without Known Attributes
by: Roy, Shaily, et al.
Published: (2026)
by: Roy, Shaily, et al.
Published: (2026)
Fairness in Ranking: Robustness through Randomization without the Protected Attribute
by: Kliachkin, Andrii, et al.
Published: (2024)
by: Kliachkin, Andrii, et al.
Published: (2024)
Demystifying the Accuracy-Interpretability Trade-Off: A Case Study of Inferring Ratings from Reviews
by: Atrey, Pranjal, et al.
Published: (2025)
by: Atrey, Pranjal, et al.
Published: (2025)
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
by: Vishwakarma, Harit, et al.
Published: (2024)
by: Vishwakarma, Harit, et al.
Published: (2024)
Graph Transformers without Positional Encodings
by: Garg, Ayush
Published: (2024)
by: Garg, Ayush
Published: (2024)
Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
by: Hamman, Faisal, et al.
Published: (2025)
by: Hamman, Faisal, et al.
Published: (2025)
The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
by: Hsu, Hsiang, et al.
Published: (2026)
by: Hsu, Hsiang, et al.
Published: (2026)
HyperFast: Instant Classification for Tabular Data
by: Bonet, David, et al.
Published: (2024)
by: Bonet, David, et al.
Published: (2024)
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
by: Hamman, Faisal, et al.
Published: (2023)
by: Hamman, Faisal, et al.
Published: (2023)
Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards
by: Hamman, Faisal, et al.
Published: (2025)
by: Hamman, Faisal, et al.
Published: (2025)
Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants
by: Tang, Zeyu, et al.
Published: (2025)
by: Tang, Zeyu, et al.
Published: (2025)
Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions
by: Nayyar, Rashmeet Kaur, et al.
Published: (2025)
by: Nayyar, Rashmeet Kaur, et al.
Published: (2025)
Individual Fairness In Strategic Classification
by: Zuo, Zhiqun, et al.
Published: (2026)
by: Zuo, Zhiqun, et al.
Published: (2026)
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
by: Zhu, Lin, et al.
Published: (2025)
by: Zhu, Lin, et al.
Published: (2025)
Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environments
by: Shaer, Ibrahim, et al.
Published: (2024)
by: Shaer, Ibrahim, et al.
Published: (2024)
LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels
by: Ohki, Tetsushi, et al.
Published: (2024)
by: Ohki, Tetsushi, et al.
Published: (2024)
Fine-Tuning without Performance Degradation
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
Deep Classifier Mimicry without Data Access
by: Braun, Steven, et al.
Published: (2023)
by: Braun, Steven, et al.
Published: (2023)
Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods
by: Störck, Felix, et al.
Published: (2025)
by: Störck, Felix, et al.
Published: (2025)
GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
by: Sulaiman, Modar, et al.
Published: (2025)
by: Sulaiman, Modar, et al.
Published: (2025)
Autoencoding Conditional Neural Processes for Representation Learning
by: Prokhorov, Victor, et al.
Published: (2023)
by: Prokhorov, Victor, et al.
Published: (2023)
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications
by: Zhao, Ziming, et al.
Published: (2024)
by: Zhao, Ziming, et al.
Published: (2024)
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
by: Zhou, Songqi, et al.
Published: (2025)
by: Zhou, Songqi, et al.
Published: (2025)
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition
by: Hamman, Faisal, et al.
Published: (2024)
by: Hamman, Faisal, et al.
Published: (2024)
FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution
by: Patel, Sara, et al.
Published: (2025)
by: Patel, Sara, et al.
Published: (2025)
Sequential Large Language Model-Based Hyper-parameter Optimization
by: Mahammadli, Kanan, et al.
Published: (2024)
by: Mahammadli, Kanan, et al.
Published: (2024)
Similar Items
-
T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning
by: Fu, Yanjun, et al.
Published: (2025) -
TabDistill: Distilling Transformers into Neural Nets for Few-Shot Tabular Classification
by: Dissanayake, Pasan, et al.
Published: (2025) -
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
by: Veldanda, Akshaj Kumar, et al.
Published: (2024) -
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data
by: Kumar, Atul, et al.
Published: (2024) -
Balancing Fairness and Accuracy in Data-Restricted Binary Classification
by: Lazri, Zachary McBride, et al.
Published: (2024)