Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
- Aleksandros Sobczyk
- Mathieu Luisier
- 2022
- NeurIPS 2022
Conference paper
Publications
97 results at NeurIPS 2022
Continual Learning In Environments With Polynomial Mixing Times
- Matthew Riemer
- Sharath Chandra Raparthy
- et al.
- 2022
- NeurIPS 2022
Conference paperDualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
- Ximeng Sun
- Ping Hu
- et al.
- 2022
- NeurIPS 2022
Conference paperDeep Differentiable Logic Gate Networks
- Felix Petersen
- Christian Borgelt
- et al.
- 2022
- NeurIPS 2022
Conference paperConvergent Representations of Computer Programs in Human and Artificial Neural Networks
- Shashank Srikant
- Benjamin Lipkin
- et al.
- 2022
- NeurIPS 2022
Conference paperDistributionally Adaptive Meta Reinforcement Learning
- Anurag Ajay
- Abhishek Gupta
- et al.
- 2022
- NeurIPS 2022
Conference paperGREED: A Neural Framework for Learning Graph Distance Functions
- Rishabh Ranjan
- Siddharth Grover
- et al.
- 2022
- NeurIPS 2022
Conference paperFETA: Towards Specializing Foundational Models for Expert Task Applications
- Amit Alfassy
- Assaf Arbelle
- et al.
- 2022
- NeurIPS 2022
Conference paperAUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
- Krishnateja Killamsetty
- Guttu Sai Abhishek
- et al.
- 2022
- NeurIPS 2022
Conference paperConsistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
- Shubham Gupta
- Ambedkar Dukkipati
- 2022
- NeurIPS 2022
Conference paper