Multi-Scale Representation Learning for Protein Fitness Prediction
- Zuobai Zhang
- Pascal Notin
- et al.
- 2024
- NeurIPS 2024
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Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
- 2024
- NeurIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
- Jiabao Ji
- Yujian Liu
- et al.
- 2024
- NeurIPS 2024
Towards Exact Gradient-based Training on Analog In-memory Computing
- Zhaoxian Wu
- Tayfun Gokmen
- et al.
- 2024
- NeurIPS 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
- William Brandon
- Mayank Mishra
- et al.
- 2024
- NeurIPS 2024
Value Alignment from Unstructured Text
- 2024
- NeurIPS 2024
Test Time Learning for Time Series Forecasting
- Panayiotis Christou
- Shichu Chen
- et al.
- 2024
- NeurIPS 2024
Recurrent Transformers Trade-off Parallelism for Length Generalization on Regular Languages
- Paul Soulos
- Aleksandar Terzic
- et al.
- 2024
- NeurIPS 2024
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
- Aamod Khatiwada
- Harsha Kokel
- et al.
- 2024
- NeurIPS 2024
MemReasoner: A Memory-augmented LLM Architecture for Multi-hop Reasoning
- Irene Ko
- Sihui Dai
- et al.
- 2024
- NeurIPS 2024