Publications

(2022). Exploring Validation Metrics for Offline Model-Based Optimisation with Diffusion Models. Transactions on Machine Learning Research (TMLR).
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(2022). Data Augmentation for Intent Classification with Off-the-Shelf Large Language Models. Workshop at Association for Computational Linguistics (ACL).
(2022). CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. Artificial Intelligence Journal (AIJ).
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(2022). Contrastive Self-Supervision Defines General-Purpose Similarity Functions. Workshop at Advances in Neural Information Processing Systems (NeurIPS).
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(2022). Constraining Low-Level Representations to Define Effective Confidence Scores. Workshop at Advances in Neural Information Processing Systems (NeurIPS).
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(2022). A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
(2022). A Probabilistic Perspective on Reinforcement Learning via Supervised Learning. Workshop at International Conference on Learning Representations (ICLR).
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(2022). 3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. arXiv preprint arXiv:2212.06833.
(2021). Weakly Supervised Underwater Fish Segmentation using Affinity LCFCN. Nature Scientific Reports.
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(2021). Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. Workshop at Advances in Neural Information Processing Systems (NeurIPS).