Geometry of naturalistic object representations in recurrent neural network models of working memory
- Xiaoxuan Lei
- Taku Ito
- et al.
- 2024
- NeurIPS 2024
Conference paper
Publications
88 results at NeurIPS 2024
Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry
- Marvin Alberts
- Oliver Schilter
- et al.
- 2024
- NeurIPS 2024
Conference paperEasy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
- Zhiqing Sun
- Longhui Yu
- et al.
- 2024
- NeurIPS 2024
Conference paperPrompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
- Wanhua Li
- Zibin Meng
- et al.
- 2024
- NeurIPS 2024
Conference paperPrivacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
- Kristjan Greenewald
- Yuancheng Yu
- et al.
- 2024
- NeurIPS 2024
Conference paperConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
- Irene Huang
- Wei Lin
- et al.
- 2024
- NeurIPS 2024
Conference paperEfficient multi-prompt evaluation of LLMs
- Felipe Maia Polo
- Ronald Xu
- et al.
- 2024
- NeurIPS 2024
Conference paperNeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
- Hao-lun Sun
- Lei Hsiung
- et al.
- 2024
- NeurIPS 2024
Conference paperMultivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
- Gabriel Rioux
- Apoorva Nitsure
- et al.
- 2024
- NeurIPS 2024
Conference paperTiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
- Vijay E
- Arindam Jati
- et al.
- 2024
- NeurIPS 2024
Conference paper