HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
- Shengcao Cao
- Dhiraj Joshi
- et al.
- 2023
- NeurIPS 2023
Conference paper
Publications
113 results at NeurIPS 2023
Improved Self-supervised Molecular Representation Learning using Persistent Homology
- Yuankai Luo
- Lei Shi
- et al.
- 2023
- NeurIPS 2023
Conference paperBeyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
- Zhang-wei Hong
- Aviral Kumar
- et al.
- 2023
- NeurIPS 2023
Conference paperLeveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- Robert Alison
- Anthony Stephenson
- et al.
- 2023
- NeurIPS 2023
Conference paperEffective Human-AI Teams via Learned Natural Language Rules and Onboarding
- Hussein Mozannar
- Jimin Lee
- et al.
- 2023
- NeurIPS 2023
Conference paperOn the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- 2023
- NeurIPS 2023
Conference paperLong Sequence Hopfield Memory
- Hamza Tahir Chaudhry
- Jacob Zavatone-veth
- et al.
- 2023
- NeurIPS 2023
Conference paperAnalyzing Generalization of Neural Networks through Loss Path Kernels
- Yilan Chen
- Wei Huang
- et al.
- 2023
- NeurIPS 2023
Conference paperDiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
- Tsun-hsuan Wang
- Juntian Zheng
- et al.
- 2023
- NeurIPS 2023
Conference paperEfficient Equivariant Transfer Learning from Pretrained Models
- Sourya Basu
- Pulkit Katdare
- et al.
- 2023
- NeurIPS 2023
Conference paper