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representations with limited, weak, or noisy supervision Adapting, specializing, or probing large pre-trained models for domain-specific visual understanding Self-supervised and representation learning for images
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information; Logic, constraint solving and satisfiability (SAT, #SAT, SMT); Knowledge representation and reasoning (decision diagrams, tensor networks, DNNF); Assist in relevant teaching activities. Where you
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