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  2. Building a Conversational User Simulator Using Generative Adversarial …

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/building_a_conversational_user_simulator.pdf
    15 Nov 2021: 244.3.1 Policy Training. 244.3.2 Policy Evaluation. 24. 5 Adversarial Training Experiments 265.1 MLE Pre-Training.
  3. THE WOLFSON REVIEW 2020–2021 Wolfson College Annual Review 2021 ...

    https://www.wolfson.cam.ac.uk/sites/default/files/2021-11/the_wolfson_review_2020-2021_0.pdf
    25 Nov 2021: Scholarship 22 Let's Talk About Race and Racism 24.
  4. A model-based design tool for 3D GUI layout design that accommodates…

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/a_model-based_design_tool.pdf
    15 Nov 2021: This ideais often traced back to the study by Hess and Polt [24] demonstrating correlation betweenpupil size and mental activity in the form of simple multiplication problems.
  5. Magdalene College Magazine 2020-21

    https://www.magd.cam.ac.uk/system/files/2021-11/magdalene_college_magazine_2020-21.pdf
    22 Nov 2021: 24. elements: Nick Drake (1980) asks ‘How could one man… cross his legs.
  6. Improving Deep Ensembles for Better Deep Uncertainty Quantification

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/improving_deep_ensembles.pdf
    15 Nov 2021: Improving Deep Ensembles for BetterDeep Uncertainty Quantification. Ginte Petrulionyte. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine
  7. [AGM Minutes] Nov 23 2021

    https://jcsu.jesus.cam.ac.uk/wp-content/uploads/2021/11/AGM-Minutes-Nov-23-2021.pdf
    22 Nov 2021: IncomeSubscriptions 24,120.00£ 50,069.00£ JCCS Donation 4,000.00£ 4,000.00£ 4,625.00£ 2,275.00£ Interest 435.21£ Miscellaneous Income 790.30£ 1,392.97£
  8. Bootstrap Your Flow

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/bootstrap_your_flow_reduced.pdf
    15 Nov 2021: 3.1 Estimating α -divergence over the target vs proposal distribution. 24. ... 2.24). We provide a proof for why these importance weights are valid in Appendix A.1.
  9. GPT-3 for Few-Shot Dialogue State Tracking

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/gpt_3_for_few_shot_dialogue_state_tracking.pdf
    15 Nov 2021: 23. 3.4 Experimental Setup. 243.4.1 Model Configuration. 243.4.2 Experiment Size. 24.
  10. Mitigating Gender Bias in Dialogue Generation Gabrielle (Ming Yi) ...

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/mitigating_gender_bias_in_dialogue_generation.pdf
    15 Nov 2021: 23. 3.6 Token counts of GB-Ctrl validation data. 24. 3.7 Toxicity in GB-Ctrl finetuning data. ... 24. 3.8 Size of GBS-Ctrl finetuning datasets. 26. 3.9 StereoSet examples.
  11. https://www.english.cam.ac.uk/research/cogblog/?feed=rss2&p=1039

    https://www.english.cam.ac.uk/research/cogblog/?feed=rss2&p=1039
    23 Nov 2021: Comments on: Self-Conscious https://www.english.cam.ac.uk/research/cogblog/?p=1039 literary criticism listens to cognitive science and talks back too Sat, 16 Nov 2019 16:24:45

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