Sun 10 Dec
Expo Day
Small Large Language Models, punching above their weights
Useful Links
- Our overall highlights of the conference
- Latent Space Podcast’s Best Papers/Top Startups of NeurIPS
- NeurIPS 2023 homepage
- NeurIPS 2023 schedule
Invited Talks
- NextGenAI: The Delusion of Scaling and the Future of Generative AI (Björn Ommer)
- The Many Faces of Responsible AI (Lora Aroyo)
- Coherence statistics, self-generated experience and why young humans are much smarter than current AI (Linda Smith)
- Sketching: core tools, learning-augmentation, and adaptive robustness (Jelani Nelson)
- Beyond Scaling (Panel)
- Systems for Foundation Models, and Foundation Models for Systems (Christopher Ré)
- Online Reinforcement Learning in Digital Health Interventions (Susan Murphy)
Papers
- Outstanding paper winners:
- Privacy Auditing with One (1) Training Run
- Are Emergent Abilities of Large Language Models a Mirage
- ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
- DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
- Sebastian Ruder’s list of 20 LLM-related papers
- Voxel51’s list of 10 Multimodal ML Papers
- Lists of papers/talks by Amazon, Google, Google DeepMind, Microsoft, Abacus.AI