322 results on '"M. Collins"'
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2. Rich Human Feedback for Text-to-Image Generation.
3. Segment anything, from space?
4. Hidden in plain sight: Payoffs, probability, space, and time in isomorphic tasks.
5. Wind Turbine Surface Damage Detection Using YOLOv7 with Slicing Aided Hyper Inference (SAHI).
6. FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines.
7. Harms from Increasingly Agentic Algorithmic Systems.
8. On the informativeness of supervision signals.
9. Human-in-the-Loop Mixup.
10. Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.
11. Transformers For Recognition In Overhead Imagery: A Reality Check.
12. Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning.
13. Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?
14. Can Large Language Models Understand Symbolic Graphics Programs?
15. Building Machines that Learn and Think with People.
16. Modulating Language Model Experiences through Frictions.
17. People use fast, goal-directed simulation to reason about novel games.
18. Large Language Models Must Be Taught to Know What They Don't Know.
19. Representational Alignment Supports Effective Machine Teaching.
20. Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation.
21. A Hybrid Volume-Surface Integral Equation Method for Rapid Electromagnetic Simulations in MRI.
22. Optimality guarantees for crystal structure prediction.
23. Drone Footage Wind Turbine Surface Damage Detection.
24. Eliciting and Learning with Soft Labels from Every Annotator.
25. Language Model-Guided Classifier Adaptation for Brain-Computer Interfaces for Communication.
26. GeValDi: Generative Validation of Discriminative Models.
27. Preliminary Experience with Three Alternative Motion Sensors for 0.55 Tesla MR Imaging.
28. Factor Structure and Psychometric Properties of the Digital Communication Empathy Scale (DCES).
29. GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery.
30. Learning to Receive Help: Intervention-Aware Concept Embedding Models.
31. Getting aligned on representational alignment.
32. Selective Concept Models: Permitting Stakeholder Customisation at Test-Time.
33. The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs.
34. AI for Mathematics: A Cognitive Science Perspective.
35. FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines.
36. Segment anything, from space?
37. Deep Active Learning for Scientific Computing in the Wild.
38. Evaluating Language Models for Mathematics through Interactions.
39. Harms from Increasingly Agentic Algorithmic Systems.
40. Human Uncertainty in Concept-Based AI Systems.
41. Learning Personalized Decision Support Policies.
42. Mitigating the Impact of Psychophysical Effects During Adaptive Stimulus Selection in the P300 Speller Brain-Computer Interface.
43. A Causal Deep Learning Framework for Classifying Phonemes in Cochlear Implants.
44. Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions.
45. Application of Compositional Neural Networks for Robust Classification of Infrared Imagery.
46. Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface.
47. Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks.
48. Virtual Reality in Education: A Case Study on Exploring Immersive Learning for Prisoners.
49. Heart Sound Analysis in Individuals Supported With Left Ventricular Assist Device: A First Look.
50. Using Automatic Speech Recognition and Speech Synthesis to Improve the Intelligibility of Cochlear Implant users in Reverberant Listening Environments.
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