No 1. 《On the ‘steerability’ of generative adversarial networks》
    No 2. 《Multi-Graph Transformer for Free-Hand Sketch Recognition》
    No 3. 《Variational Autoencoders and Nonlinear ICA: A Unifying Framework》
    No 4. 《Action Genome: Actions as Composition of Spatio-temporal Scene Graphs》
    No 5. 《Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models》
    No 6. 《Word contexts enhance the neural representation of individual letters in early visual cortex | Nature Communications》
    No 7. 《Energy and Policy Considerations for Deep Learning in NLP》
    No 8. 《Differentiable Reasoning on Large Knowledge Bases and Natural Language》
    No 9. 《IGNOR: Image-guided Neural Object Rendering》
    No 10. 《Programmatically Interpretable Reinforcement Learning》
    No 11. 《Attention Privileged Reinforcement Learning For Domain Transfer》
    No 12. 《Towards a complete 3D morphable model of the human head》
    No 13. 《Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning》
    No 14. 《Off-the-Shelf Unsupervised NMT》
    No 15. 《LaFIn: Generative Landmark Guided Face Inpainting》
    No 16. 《Interdisciplinary Relationships Between Biological and Physical Sciences》
    No 17. 《B-Spline CNNs on Lie groups》
    No 18. 《Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve》
    No 19. 《Solar image denoising with convolutional neural networks》
    No 20. 《SPA-GAN: Spatial Attention GAN for Image-to-Image Translation》
    No 21. 《Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference》
    No 22. 《How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift)》
    No 23. 《Laplacian Smoothing Gradient Descent》
    No 24. 《Aspect Specific Opinion Expression Extraction using Attention based LSTM-CRF Network》
    No 25. 《Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis》
    No 26. 《Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised》
    No 27. 《Optuna: A Next-generation Hyperparameter Optimization Framework》
    No 28. 《Randomly Projected Additive Gaussian Processes for Regression》
    No 29. 《oLMpics — On what Language Model Pre-training Captures》
    No 30. 《Why ADAM Beats SGD for Attention Models》