P. What does it mean to understand a neural network? Preprint at arXiv https://arxiv.org/abs/1907.06374 (2019). Saxe, A., Bhand, M., Mudur, R., Suresh, B. & Ng, A. Y. Unsupervised learning models of primary cor
And, even if we answer ‘no’, what does that actually mean, given the situation we are already in? It then starts to become apparent that what many are presenting becomes less of an ‘ask’ and more of a ‘tell’: much talk of ‘trusting AI’ is in fact trying to convince people...
(d) what does "average-only validity of conservation laws" mean for you. In the standard meaning of this words it's clearly a wrong statement. (e) what does "average-only projection" mean. It's not defined in the standard literature, and you haven't given a clear mahthemtal definition...
Being a generalisation of the Thue-Siegel-Roth theorem, it is unsurprising that the known proofs of the subspace theorem are also ineffective with regards to the constant . (However, the number of exceptional subspaces may be bounded effectively; cf. the situation with the Skolem-Mahler-Lech th...
4.2 Computing the cohomology of We first prove Theorem 4.4, where we compute and its -module structure in low degrees. We then use this to compute as an -module in low degrees in Theorem 4.14, allowing us to run the Adams spectral sequence in Sect. 4.3. Our computations make heavy use...
With the increasing demand for speedy and efficient content delivery, advanced solutions like the Content Delivery Network (CDN) have emerged. But what does CDN actually mean? Essentially, it’s a network of strategically positioned servers aimed at enhancing the speed and dependability of delivering...
It is in fact likely that almost all of the theory below extends to base spaces which are -finite rather than finite (for instance, by damping the measure to become finite, without introducing any further null events), although we will not pursue this further generalisation here. The ...
After construction the Random Forest will be able to predict the app in use (or other) when given a sample of encrypted network activity. The accuracy of this prediction process is measured as Out-Of-Bag (OOB) error. This is a generalisation error based upon the ability for the Random ...
There is a generalisation of this formula to (finite) posets, due to Hall, in which one sums over chains in the poset: Proposition 2 (Poset Möbius inversion) Let be a finite poset, and let be functions from that poset to an additive group . Then the following two claims are equival...
In particular, we first perform independent prompting on both sketch and photo branches of an SBIR model to build highly generalisable sketch and photo encoders on the back of the generalisation ability of CLIP. We then devise a train- ing paradigm to adapt the learned encoders for o...