NeurIPS 2025 Workshop Reliable ML Submissions

LoCaTE: A Local and Training Dynamics Perspective at Detecting Label Noise in Deep Classification
A. Anas Chentouf, Haoran Zhang, Marzyeh Ghassemi
- Published: 29 Sept 2025, Last Modified: 24 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Temp-SCONE: A Novel Out-of-Distribution Detection and Domain Generalization Framework for Wild Data with Temporal Shift
Aditi Naiknaware, Sanchit Singh, Hajar Homayouni, Salimeh Sekeh
- Published: 29 Sept 2025, Last Modified: 24 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Positive-Unlabeled Learning for Control Group Construction in Observational Causal Inference
Ilias Tsoumas, Dimitrios Bormpoudakis, Vasileios Sitokonstantinou, Athanasios Askitopoulos, Andreas Kalogeras, Charalampos (Haris) Kontoes, Ioannis N. Athanasiadis
- Published: 29 Sept 2025, Last Modified: 23 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
RL-Guided Data Selection for Language Model Finetuning
Animesh Jha, Ananjan Nandi, Harshit Gupta
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
DynamiX: Dynamic Resource eXploration for Personalized Ad-Recommendations
Adam Holeman, Sohini Roychowdhury, Mohammad Amin, Feng Wei, Bhaskar Mehta, Sri Reddy
- Published: 29 Sept 2025, Last Modified: 25 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Evaluating the Quality of AI-Generated Resolutions from Conversational vs Structured Sources: Implications for Enterprise Knowledge Automation
Archan Dutta, Hardik Airen, Phani Nivarthi, Vinay Sisodiya
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
A Few Bad Neurons: Isolating and Surgically Correcting Sycophancy
Claire O'Brien, Jessica Seto, Dristi Roy, Aditya Dwivedi, Sunishchal Dev, Kevin Zhu, Sean O'Brien, Ryan Lagasse
- Published: 29 Sept 2025, Last Modified: 25 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition
Tarhib Al Azad, Shahana Ibrahim
- Published: 29 Sept 2025, Last Modified: 21 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Approximate Leave-One-Out Cross Validation for Robust Scatter Matrix Estimation
Karim Abou-Moustafa
- Published: 29 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Reliable Active Learning from Unreliable Labels via Neural Collapse Geometry
Atharv Goel, Sharat Agarwal, Saket Anand, Chetan Arora
- Published: 29 Sept 2025, Last Modified: 24 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
GUARD: Guiding Unbiased Alignment through Reward Debiasing
Advay Samnerkar, Doelle Bhattacharya, Kailash Ranganathan, Kevin Zhu, Ashwinee Panda
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Teaming LLMs to Detect and Mitigate Hallucinations
Demian Till, John Gordon Smeaton, Peter Haubrick, Mohammed Gouse Subhan Saheb, Florian Graef, David Berman
- Published: 29 Sept 2025, Last Modified: 23 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Reasoning as an Adaptive Defense for Safety
Taeyoun Kim, Fahim Tajwar, Aditi Raghunathan, Aviral Kumar
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Extracting Latent Generalization from Models Trained with Noisy Labels
Simran Ketha, Venkatakrishnan Ramaswamy
- Published: 29 Sept 2025, Last Modified: 24 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
When "Competency" in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Ciphers
Divij Handa, Zehua Zhang, Amir Saeidi, Shrinidhi Kumbhar, Md Nayem Uddin, Aswin RRV, Chitta Baral
- Published: 29 Sept 2025, Last Modified: 13 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Domain Generalization: A Tale of Two ERMs
Yilun Zhu, Naihao Deng, Naichen Shi, Aditya Gangrade, Clayton Scott
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Safety by Design: High-Probability Constrained Contextual Bandits
Spyros Dragazis, Aldo Pacchiano
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Beyond Static Bias: Quantifying Fairness Variability in CheXpert
Ines Ayed, Gabriel Moyà Alcover, Fernando Alonso-Fernandez, Antoni Jaume-i-Capó
- Published: 29 Sept 2025, Last Modified: 23 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Double Machine Learning Evaluation Under Distribution Shift and Selection Bias
Annie S Ulichney, Amanda Lee Coston
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Optimal Lower Bounds and New Upper Bounds for Sequential Prediction with Abstention
Ezra Edelman, Surbhi Goel
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Obscurable Fishermen
Ekaterina Fedorova, Chara Podimata, Constantinos Costis Daskalakis
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Task Priors: Enhancing Model Evaluation by Considering the Entire Space of Downstream Tasks
Niket Patel, Randall Balestriero
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Minimal Repairs for Learning Over Incomplete Data
Cheng Zhen, Nischal Aryal, Arash Termehchy, Prayoga, Garrett Biwer
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
Leyang Hu, Matteo Gamba, Randall Balestriero
- Published: 29 Sept 2025, Last Modified: 17 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling
Jonas Ngnawe, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Frederic Precioso, Christian Gagné
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone