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1 - 10 of 23 search results for KaKaoTalk:PC53 24 / |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 23 match some words.

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  2. Data Compression with Variational Implicit Neural Representations

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/data_compression.pdf
    14 Nov 2023: L= Ewwwq(w)[log p(D|www)]β DKL[q(w)||p(w)]. (2.24). 16 Background. Parameterization MAML Compression Modalities.

  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: Extensively usedPython libraries include:. • Standard packages: numpy 1.24.3, typer 0.9.0, jiwer 3.0.2, pandas 2.0.2. • ... This tendency is motivated by the scaling lawsintroduced by OpenAI in [35] and can be witnessed for speech as well (see Figure

  4. 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: 24. 5.1 Replication of RAG results for Task II. 385.2 Shared Task Evaluation for generator-only Chat Completion versions.

  5. Graph Neural Stochastic Differential Equations

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/graph_neural_stochastic_differential_equations.pdf
    17 Nov 2023: 2.3.6 Comparison: Oversmoothing in GN-ODE vs. Standard GNN. 24. 3 Graph Neural Stochastic Differential Equations 26. ... 24. 3.1 The left image illustrates the political compass of voters while the rightimage presents their social circles, with colors

  6. 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: 243.3.2 In-context Few-shot Prompting. 24. 3.4 Conclusion. 25. Table of contents v.

  7. Optimal PAC-Bayes Bounds and their Variational Approximations

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/optimal_pac-bayes_bounds.pdf
    24 Nov 2023: Westate this lower bound next. 24 Method. 3.2 A Lower Bound on the Tightness Gap.

  8. Eliciting Latent Knowledge from Language Reward Models

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/eliciting_latent_knowledge_from_language_reward_models_0.pdf
    17 Nov 2023: 203.2 Reward Model Design. 24. 3.2.1 Datasets. 243.2.2 The Reward Model Architecture. ... UNIFIEDQA-V2. UNIFIEDQA-V2 [24] is an encoder-decoder model based on the T5 architecture [39].

  9. 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: 24 Parametrised Teacher. The gradient for policy updates is given by.

  10. 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: 24. 3.3 Illustration of our custom ODE block capturing continuous-time dynamics.The block processes outputs from the derivative function approximator anduses them to delineate the data’s evolutionary trajectory.

  11. Multilingual Models in Neural Machine Translation

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/multilingual_models_in_neural_machine_translation.pdf
    24 Nov 2023: 23. 3.4 Summary. 24. 4 Results and Discussions 254.1 In-context Learning for NMT. ... The loss function can be any string-to-string distance function, or the negative of string-to-string alignment function such as BLEU [24] and BLEURT [34] (see Section

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