- and
Workshop on
Neural Information Processing Systems (abbreviated as
NeurIPS and
formerly NIPS) is a
machine learning and com****tional neuroscience...
- architectures, as they
preceded the
invention of transformers. At the 2017
NeurIPS conference,
Google researchers introduced the
transformer architecture...
-
Large Language Models.
Advances in
Neural Information Processing Systems (
NeurIPS 2022). Vol. 35. arXiv:2201.11903. Brubaker, Ben (March 21, 2024). "How...
- Amodei,
Dario (May 28, 2020). "Language
Models are Few-Shot Learners".
NeurIPS. arXiv:2005.14165v4. "ML
input trends visualization". Epoch.
Archived from...
- feedback. Thirty-Sixth
Conference on
Neural Information Processing Systems:
NeurIPS 2022. arXiv:2203.02155. Bai, Yuntao; Jones, Andy; Ndousse, Kamal; Askell...
-
Learning Basic Visual Concepts with a
Constrained Variational Framework.
NeurIPS. Burgess,
Christopher P.; Higgins, Irina; Pal, Arka; Matthey, Loic; Watters...
- the
other does the
whole state of
knowledge a huge disservice." At the
NeurIPS 2024 conference, a
slide in Picard's
keynote address drew
criticism from...
- "learning a
distributed representation for words". A
study published in
NeurIPS (NIPS) 2002
introduced the use of both word and do****ent
embeddings applying...
- Convolutional, and Continuous-time
Models with
Linear State-Space Layers".
NeurIPS. S2CID 239998472. Tickoo,
Aneesh (10
December 2023). "Researchers from...
-
Dario (2017). "Deep
Reinforcement Learning from
Human Preferences" (PDF).
NeurIPS. arXiv:1706.03741. "Constitutional AI:
Harmlessness from AI Feedback"....
