Limits of Transformer Language Models on Learning to Compose Algorithms
- Jonathan Thomm
- Aleksandar Terzic
- et al.
- 2024
- NeurIPS 2024
Publications
1442 results for Machine Learning
Geometry of naturalistic object representations in recurrent neural network models of working memory
- Xiaoxuan Lei
- Taku Ito
- et al.
- 2024
- NeurIPS 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
- Giangiacomo Mercatali
- Andre Freitas
- et al.
- 2024
- NeurIPS 2024
A TWO-SCALE COMPLEXITY MEASURE FOR DEEP LEARNING MODELS
- Massimiliano Datres
- Gian Paolo Leonardi
- et al.
- 2024
- NeurIPS 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- Yunshi Wen
- Tengfei Ma
- et al.
- 2024
- NeurIPS 2024
Probabilistic Federated Prompt-Tuning in Data Imbalance Settings
- Pei-yau Weng
- Minh Hoang
- et al.
- 2024
- NeurIPS 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
- Wenzhi Fang
- Dong-jun Han
- et al.
- 2024
- NeurIPS 2024
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
- Tomoya Sakai
- Haoxiang Qiu
- et al.
- 2024
- NeurIPS 2024
Weak Supervision Performance Evaluation via Partial Identification
- Felipe Maia Polo
- Subha Maity
- et al.
- 2024
- NeurIPS 2024
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
- Yue Yu
- Ning Liu
- et al.
- 2024
- NeurIPS 2024