Neural Information Processing Systems (NIPS) Conference

By A. Murray, Lionel Tarassenko, A. Hamilton. 1993

Subfields: Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

1. Cyprien de Masson d'Autume
2. Joel Z. Leibo
3. Daniel Zoran
4. Shane Legg
5. Matthew Botvinick
6. Demis Hassabis
7. Ben Goertzel

Citations in the corpus

• Beyond human-level accuracy: computational challenges in deep learning (2019, neutral): “Current GPUs and Google’s TPU v2 have 16 or 32GB of memory per accelerator chip [13].”
• Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents (2018, background): “…et al., 2016), bind and use information in shortterm memory (Chiappa et al., 2017; Vezhnevets et al., 2017), play "laser tag" (Jaderberg et al., 2016; Chaplot and Lample, 2017), forage in naturalistic outdoor environments with trees, shrubbery, and undulating hills and valleys (Purves, 2016).”