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On Margins and Generalisation for Voting Classifiers. Conference on Neural Information Processing Systems (NeurIPS),  2022.

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Attention-based Neural Cellular Automata. Conference on Neural Information Processing Systems (NeurIPS),  2022.

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Scaling up ML-based Black-box Planning with Partial STRIPS Models. Workshop at International Join Conference on Artificial Intelligence (IJCAI),  2022.

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Neural Point Light Fields. Computer Vision and Pattern Recognition (CVPR),  2022.

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A Planning based Neural-Symbolic Approach for Embodied Instruction Following. Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR),  2022.

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Deconfounding Dynamic Treatment Regimes. Annual Meeting of the Statistical Society of Canada,  2022.

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The Power of Prompt Tuning for Low-Resource Semantic Parsing. Annual Meeting of the Association for Computational Linguistics (ACL),  2022.

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LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing. Annual Meeting of the Association for Computational Linguistics (ACL),  2022.

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Compositional Generalization in Dependency Parsing. Annual Meeting of the Association for Computational Linguistics (ACL),  2022.

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Object-centric Compositional Imagination for Visual Abstract Reasoning. Workshop at the International Conference on Learning Representations (ICLR),  2022.

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Towards Neural Functional Program Evaluation. Conference on Neural Information Processing Systems (NeurIPS),  2021.

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Systematic Generalization with Edge Transformers. Conference on Neural Information Processing Systems (NeurIPS),  2021.

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On the Value of ML Models. Workshop at the Neural Information Processing Systems (NeurIPS),  2021.

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Continual Learning via Local Module Composition. Conference on Neural Information Processing Systems (NeurIPS),  2021.

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DuoRAT: Towards Simpler Text-to-SQL Models. North American Chapter of the Association for Computational Linguistics (NAACL),  2021.

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On the role of data in PAC-Bayes bounds. International Conference on Artificial Intelligence and Statistics (AISTATS),  2021.

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Using Harms and Benefits to Ground Practical AI Fairness Assessments in Finance. ACM Conference on Fairness, Accountability, and Transparency (FAccT),  2021.

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Like A Researcher Stating Broader Impact for the Very First Time. Workshop at the Neural Information Processing Systems (NeurIPS),  2020.

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Knowledge Hypergraphs: Prediction Beyond Binary Relations. International Join Conference on Artificial Intelligence (IJCAI),  2020.

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RelatIF: Identifying Explanatory Training Examples via Relative Influence. International Conference on Artificial Intelligence and Statistics (AISTATS),  2020.

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Stabilizing the Lottery Ticket Hypothesis. Association for the Advancement of Artificial Intelligence (AAAI),  2020.

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Knowledge Hypergraphs: Prediction Beyond Binary Relations. Workshop at the Association for the Advancement of Artificial Intelligence (AAAI),  2020.

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Real-Time Reinforcement Learning. Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Neural Multisensory Scene Inference. Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Neocortical plasticity: an unsupervised cake but no free lunch. Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

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Deep Complex Separators. Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

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Adversarial Functionality-Preserving Training in the Malware Domain. Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

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Adaptive Cross-Modal Few-shot Learning. Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Physical Adversarial Textures that Fool Visual Object Tracking. International Conference on Computer Vision (ICCV),  2019.

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Fourier-CPPNs for Image Synthesis. Workshop at the International Conference on Computer Vision (ICCV),  2019.

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Structure Learning for Neural Module Networks. Annual Meeting of the Association for Computational Linguistics (ACL),  2019.

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Planning with Latent SImulated Trajectories. Workshop at the International Conference on Learning Representations (ICLR),  2019.

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On Difficulties of Probability Distillation. International Conference on Learning Representations (ICLR),  2019.

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Adversarial Mixup Resynthesizers. Workshop at the International Conference on Learning Representations (ICLR),  2019.

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Adaptive Masked Weight Imprinting for Few-Shot Segmentation. Workshop at the International Conference on Learning Representations (ICLR),  2019.

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Adaptive Cross-Modal Few-shot Learning. Workshop at the International Conference on Learning Representations (ICLR),  2019.

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Adversarial Framing for Image and Video Classification. Student Abstract at the Association for the Advancement of Artificial Intelligence (AAAI),  2019.

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Recurrent Transition Networks for Character Locomotion. Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia),  2018.

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Tighter Nonvacuous PAC-Bayes Bounds: Beyond Stability of SGD. Workshop at the Neural Information Processing Systems (NeurIPS),  2018.

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Data-dependent PAC-Bayes priors via differential privacy. Conference on Neural Information Processing Systems (NeurIPS),  2018.

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Bayesian Model-Agnostic Meta-Learning. Conference on Neural Information Processing Systems (NeurIPS),  2018.

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Neural Autoregressive Flow. International Conference on Machine Learning (ICML),  2018.

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Learning Heuristics for the TSP by Policy Gradient. Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research,  2018.

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Unsupervised Domain Adaptation with Similarity Learning. Computer Vision and Pattern Recognition (CVPR),  2018.

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Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks. North American Chapter of the Association for Computational Linguistics (NAACL),  2018.

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Learning to Remove Rain in Traffic Surveillance by Using Synthetic Data. International Conference on Computer Vision Theory and Applications (VISIGRAPP),  2018.

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Deep Prior. Workshop at the Neural Information Processing Systems (NeurIPS),  2017.

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Bayesian Hypernetworks. Workshop at the Neural Information Processing Systems (NeurIPS),  2017.

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