Appendix
–Neural Information Processing Systems
Without the loss of generality, we use τ = 1 in the following proof. R. It's sufficient to prove that the denominator converges to that of softmax at each point f We have shown that softmax is translational invariant w.r.t. Without the loss of generality, we use τ = 1 in the following proof. To begin with, we prove the first equation and then give the proof of the second part of Theorem 3.3. We introduce some extra notations that are used throughout the proof.
Neural Information Processing Systems
May-24-2025, 11:13:56 GMT
- Technology: