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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Explore multilingual sentence representations and contrastive learning for cross-lingual tasks, focusing on quality estimation of parallel sentences and low-resource languages.
Explore deep learning model interpretation using Concept Activation Vectors (CAVs) to quantify concept importance in classification results, with applications in image recognition and medical diagnosis.
Explore the connection between word learning and logical reasoning in young children, challenging prevailing views on language acquisition and cognitive development.
Explore multimodal representation learning for vision and language, focusing on cross-modality decision-making and shared embedding spaces. Discover applications and challenges in this cutting-edge field.
Explore a reasoning system using neural language modeling for structured text-based proofs of science facts, combining classic inference engines with modern AI techniques.
Explore building language-enabled AI agents that can execute complex actions, learn from reading, and allow personalization. Discover applications in question answering, web interaction, and robotics.
Explore advanced morphological modeling techniques for diverse languages, enhancing HLT applications through innovative approaches like neural networks and cross-lingual projection.
Explore NLP research for developing commercial writing evaluation tools, focusing on automated essay scoring and feedback systems.
Explore speech production knowledge for improved DNN acoustic modeling in ASR. Learn about vocal tract measurements and phonological embeddings to enhance recognition accuracy.
Explore Bayesian analysis for estimating parameters in physiological pharmacokinetic models, focusing on hierarchical population modeling and informative prior distributions for complex systems.
Explore web-scale health studies using social media analysis. Learn techniques to address confounding and selection bias, infer user attributes, and conduct observational studies beyond traditional surveillance.
Explore motion magnification and denoising techniques for video analysis and manipulation, including separating components and amplifying small movements in real-time applications.
Explore end-to-end deep learning for semantic role labeling and coreference resolution, with insights on crowdsourcing large datasets for improved semantic analysis across domains.
Explore innovative water sensing technology and visualization methods to promote efficient residential water usage and conservation through increased awareness and informed decision-making.
Explore advanced techniques for multi-talker ASR, including GPU-accelerated processing, wake-word leveraging, and self-supervised models to improve speech recognition in challenging environments.
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