3 accepted papers
Loss spikes remain a persistent obstacle in large-scale language model pretraining. While previous research has attempted to identify the root cause of loss spikes by investigating individual factors, we observe that, in practice, such spikes are typically triggered by the confluence of heterogeneou…
We present a novel dual-end complementary method for online depth estimation and mesh reconstruction, termed DepthMesh. Unlike most existing state-of-the-art methods that produce either only depth online or surface mesh offline, our method tightly couples online multiview depth estimation and Trunca…
The computational and memory demands of vanilla attention scale quadratically with the sequence length $N$, posing significant challenges for processing long sequences in Transformer models. FlashAttention alleviates these challenges by eliminating the $\mathcal{O}(N^2)$ memory dependency and reduci…