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Backpropagating from Customer Success. Conference on Human Factors in Computing Systems (ACM-CHI),  2025.

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Fast Convergence of Softmax Policy Mirror Ascent. International Conference on Artificial Intelligence and Statistics (AISTATS),  2025.

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Unifying Autoregressive and Diffusion-Based Sequence Generation. Workshop at the International Conference of Learning Representation (ICLR),  2025.

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Deep Learning in Ultrasound localization Microscopy: Applications and perspectives. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (IEEE TUFFC),  2025.

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PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. nternational ACM SIGIR Conference on Research and Development in Information Retrieval,  2024.

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Reducing hallucination in structured outputs via Retrieval-Augmented Generation. North American Chapter of the Association for Computational Linguistics (NAACL),  2024.

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Evaluating In-Context Learning of Libraries for Code Generation. North American Chapter of the Association for Computational Linguistics (NAACL),  2024.

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Generalization bounds with arbitrary complexity measures. International Conference on Artificial Intelligence and Statistics (AISTATS),  2024.

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Towards Disentangled High-level Causal Explanations in Text. Mid-Atlantic Student Colloquium on Speech, Language and Learning,  2024.

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Egocentric Planning for Scalable Embodied Task Achievement. Conference on Neural Information Processing Systems (NeurIPS),  2023.

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Invariant Causal Set Covering Machines. Workshop on Spurious Correlations, Invariance, and Stability (ICML),  2023.

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Breadth-First Pipeline Parallelism. Conference on Machine Learning and Systems (MLSYS),  2023.

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Affinity Learning With Blind-spot Self-supervision for Image Denoising. International Conference on Acoustics, Speech and Signal Processing (ICASSP),  2023.

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SantaCoder: don't reach for the stars!. Workshop at the International Conference on Learning Representations (ICLR),  2023.

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In-Context Learning for Text Classification with Many Labels. Workshop at the Conference on Empirical Methods in Natural Language Processing (EMNLP),  2022.

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

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Neural Attentive CIrcuits. Conference on Neural Information Processing Systems (NeurIPS),  2022.

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Can large language models build causal graphs?. Workshop at the Neural Information Processing Systems (NeurIPS),  2022.

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Breadth-First Pipeline Parallelism. Workshop at the 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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A General Purpose Neural Architecture for Geospatial Systems. Workshop at the Neural Information Processing Systems (NeurIPS),  2022.

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Attention for Compositional Modularity. Workshop at the Neural Information Processing Systems (NeurIPS),  2022.

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Countering Language Drift with KL Regularization. Workshop on Interactive Learning for Natural Language Processing (NeurIPS Workshop),  2022.

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Competition exacerbates Language Drift. Machine Learning and the Evolution of Language (JCoLE Workshop),  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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The Power of Prompt Tuning for Low-Resource 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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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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Like A Researcher Stating Broader Impact for the Very First Time. Workshop at the Neural Information Processing Systems (NeurIPS),  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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Neocortical plasticity: an unsupervised cake but no free lunch. 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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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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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 Flows. International Conference on Machine Learning (ICML),  2018.

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Learning Heuristics for the TSP by Policy Gradient. International 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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