Search

Search Funnelback University

Search powered by Funnelback
10 results 20 results 50 results
Relevance Date (Newest first) Date (Oldest first) Title (A-Z) Title (Z-A) Distance URL (A-Z) URL (Z-A) Shuffle
Did you mean economiespast |u:www.mlmi.eng.cam.ac.uk?
11 - 20 of 24 search results for Economics test |u:www.mlmi.eng.cam.ac.uk where 2 match all words and 22 match some words.

  1. Results that match 1 of 2 words

  2. Incorporating Vision Encoders into Retrieval Augmented Visual…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/visual_question_answering_li.pdf
    24 Nov 2023: 314.4.3 Image Caption Generation. 324.4.4 In-context Hyperperameter Tuning. 324.4.5 GPT-3.5 Tests.

  3. Distilling and Forgetting in Large Pre-Trained Models

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/distilling_and_forgetting_in_pre-trained_models_public.pdf
    17 Nov 2023: improvement from 27.74% to 27.30%for 1-best distillation on the AMI test set. ... 626.10 WER pairplot on AMI and MLS French test splits with respect to λ.

  4. Function Constrained Program Synthesis

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/function_constrained_program_synthesis.pdf
    17 Nov 2023: this against unit-tests U. The evaluation block tags the code with a pass (p ) or fail ( f ) and.

  5. Improving Uncertainty Quantification in Regression Problems through…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/improving_uncertainty_quantification_in_regression_problems.pdf
    23 Nov 2023: test Test portion of respective set. train Training portion of respective set. ... n pairs being Dcal and the final element beingthe test input-label pair.

  6. Autoregressive Diffusion Neural Processes

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/autoregressive_diffusion_neural_processes.pdf
    14 Nov 2023: Chapter 3 explains the central idea at the basis of the proposed AutoregressiveDiffusion Neural Processes, and systematically describes the techniques employed toimplement and test these models. • ... n. • Be relatively cheap to deploy at test time,

  7. Breaking the Limits of Diffusion Models via Continuous Dynamical…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/breaking_the_limits_of_diffusion_models.pdf
    14 Nov 2023: 51. 4.4 Comparative average performance of various denoising methods at selectnoise levels across the test set. ... 54. 4.7 Comparison of average denoising performance between U-Net and cU-Netvariants at different noise levels across the test set.

  8. Incorporating Vision Encoders into Retrieval Augmented Visual…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/visual_question_answering_nikolic.pdf
    24 Nov 2023: To test our hypothesis, we incorporated an image encoderinto the RA-VQA framework, which originally utilized only textual descriptions as imagerepresentation. ... In our experiments, we will test this hypothesis on the KB-VQA task.

  9. Evaluating the Capabilities of Large Language Models for Spatial and…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/evaluating_the_capabilities_of_large_language_models.pdf
    17 Nov 2023: We test how capably AI modelscan demonstrate similar flexible reasoning under abstruse conditions. ... This tests the models’ planningabilities, reasoning under constraints, and context comprehension beyond just factualknowledge.

  10. Establishing a Unified Framework for Iterative Machine Teaching

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/framework_for_iterative_machine_teaching.pdf
    17 Nov 2023: squared Euclideandistance wt w2, loss on the training set and classification accuracy on the test set.

  11. Utilizing Large Language Models for Question Answering in…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/large_language_models_for_question_answering.pdf
    23 Nov 2023: 2.3 Augmented Large Language Models 13. At test time we must approximate arg maxy p(y|x). ... versionof the MultiDoc2Dial test set in which one turn is randomly selected from each of the 661dialogues.

Refine your results

clear all

Date

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.