Hessian Reparametrization for Coarse-grained Energy Minimization
- Nima Dehmamy
- Csaba Both
- et al.
- 2024
- ICLR 2024
Workshop paper
Publications
46 results at ICLR 2024
Listen, Think, and Understand
- Yuan Gong
- Hongyin Luo
- et al.
- 2024
- ICLR 2024
Conference paperSelf-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- Akari Asai
- Zeqiu Wu
- et al.
- 2024
- ICLR 2024
Conference paperADVERSARIAL ATTACKS ON FAIRNESS OF GRAPH NEURAL NETWORKS
- Binchi Zhang
- Yushun Dong
- et al.
- 2024
- ICLR 2024
Conference paperNEURAL ACTIVE LEARNING BEYOND BANDITS
- Yikun Ban
- Ishika Agarwal
- et al.
- 2024
- ICLR 2024
Conference paperA Probabilistic Framework for Modular Continual Learning
- Lazar Valkov
- Akash Srivastava
- et al.
- 2024
- ICLR 2024
Conference paperTime-LLM: Time Series Forecasting by Reprogramming Large Language Models
- Ming Jin
- Shiyu Wang
- et al.
- 2024
- ICLR 2024
Conference paperReasoning of Large Language Models over Knowledge Graphs with Super-Relations
- Song Wang
- Lin Junhong
- et al.
- 2024
- ICLR 2024
Conference paperBeyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- Marcus Min
- Robin (Yangruibo) Ding
- et al.
- 2024
- ICLR 2024
Conference paperCuriosity-driven Red-teaming for Large Language Models
- Zhang-wei Hong
- Idan Shenfeld
- et al.
- 2024
- ICLR 2024
Conference paper