Search

Your search keyword '"Sattigeri, Prasanna"' showing total 246 results

Search Constraints

Start Over You searched for: Author "Sattigeri, Prasanna" Remove constraint Author: "Sattigeri, Prasanna"
246 results on '"Sattigeri, Prasanna"'

Search Results

1. Granite Guardian

2. Graph-based Uncertainty Metrics for Long-form Language Model Outputs

3. Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI

4. Value Alignment from Unstructured Text

5. When in Doubt, Cascade: Towards Building Efficient and Capable Guardrails

6. WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia

7. Interventional Causal Discovery in a Mixture of DAGs

8. Large Language Model Confidence Estimation via Black-Box Access

9. Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions

10. The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

11. Language Models in Dialogue: Conversational Maxims for Human-AI Interactions

12. Multi-Level Explanations for Generative Language Models

13. Contextual Moral Value Alignment Through Context-Based Aggregation

14. Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations

15. Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

16. Causal Bandits with General Causal Models and Interventions

17. Thermometer: Towards Universal Calibration for Large Language Models

18. Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?

19. Effective Human-AI Teams via Learned Natural Language Rules and Onboarding

20. Assessment of Prediction Intervals Using Uncertainty Characteristics Curves

21. Efficient Equivariant Transfer Learning from Pretrained Models

22. Reliable Gradient-free and Likelihood-free Prompt Tuning

23. Group Fairness with Uncertainty in Sensitive Attributes

24. Who Should Predict? Exact Algorithms For Learning to Defer to Humans

25. Post-hoc Uncertainty Learning using a Dirichlet Meta-Model

26. Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

27. Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models

28. Causal Bandits for Linear Structural Equation Models

29. Hard-Constrained Deep Learning for Climate Downscaling

30. Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data

31. Scalable Intervention Target Estimation in Linear Models

32. Selective Regression Under Fairness Criteria

33. AI Explainability 360: Impact and Design

34. Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI

35. Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals

36. Detector-Free Weakly Supervised Grounding by Separation

37. AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition

38. A Maximal Correlation Approach to Imposing Fairness in Machine Learning

39. Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty

40. Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling

41. not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution

42. Optimizing Mode Connectivity via Neuron Alignment

43. AR-Net: Adaptive Frame Resolution for Efficient Action Recognition

44. OnlineAugment: Online Data Augmentation with Less Domain Knowledge

45. Causal Feature Selection for Algorithmic Fairness

46. Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models

47. StarNet: towards Weakly Supervised Few-Shot Object Detection

48. TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification

49. Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration

50. Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors

Catalog

Books, media, physical & digital resources